From 2b7b98f68550d93b33dbffb8e1af54463cf11ff8 Mon Sep 17 00:00:00 2001 From: teamchong <25894545+teamchong@users.noreply.github.com> Date: Thu, 21 May 2026 23:14:00 -0400 Subject: [PATCH] =?UTF-8?q?feat(render):=20add=20R3=20reflow=20to=20recove?= =?UTF-8?q?r=20line-end=20dead=20margin=20(~29%=20glyph=20fill=20=E2=86=92?= =?UTF-8?q?=20dense)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Pack text into a continuous sentinel-delimited stream (↵ = U+21B5) so wrapLines fills every row to `cols` instead of leaving dead right-margin. Adds reflow/dereflow, renderTextToPngsReflow{,MultiCol} variants, a full test suite, and an A/B eval harness with L1 OCR + L2 session results. --- eval/README.md | 270 +++++++ eval/eval-l1-ocr.mjs | 313 ++++++++ eval/eval-l2-session.mjs | 388 ++++++++++ eval/extract-corpus.mjs | 457 ++++++++++++ eval/lib/anthropic-client.mjs | 253 +++++++ eval/lib/cost.mjs | 233 ++++++ eval/lib/diff.mjs | 133 ++++ eval/lib/render-bridge.mjs | 51 ++ eval/results/l1-report.md | 49 ++ eval/results/l1-results.json | 422 +++++++++++ eval/results/l2-report.md | 240 ++++++ eval/results/l2-results.json | 148 ++++ eval/results/summary.md | 46 ++ eval/run-eval.mjs | 265 +++++++ src/core/render.ts | 75 ++ src/core/transform.ts | 66 +- src/dashboard-bundle.ts | 64 +- .../components/RecentRequests.svelte | 10 +- tests/reflow.test.ts | 681 ++++++++++++++++++ 19 files changed, 4116 insertions(+), 48 deletions(-) create mode 100644 eval/README.md create mode 100644 eval/eval-l1-ocr.mjs create mode 100644 eval/eval-l2-session.mjs create mode 100644 eval/extract-corpus.mjs create mode 100644 eval/lib/anthropic-client.mjs create mode 100644 eval/lib/cost.mjs create mode 100644 eval/lib/diff.mjs create mode 100644 eval/lib/render-bridge.mjs create mode 100644 eval/results/l1-report.md create mode 100644 eval/results/l1-results.json create mode 100644 eval/results/l2-report.md create mode 100644 eval/results/l2-results.json create mode 100644 eval/results/summary.md create mode 100644 eval/run-eval.mjs create mode 100644 tests/reflow.test.ts diff --git a/eval/README.md b/eval/README.md new file mode 100644 index 0000000..a65e9c5 --- /dev/null +++ b/eval/README.md @@ -0,0 +1,270 @@ +# Reflow Eval Harness + +Evaluation harness for the **reflow** image-rendering mode in pixelpipe. + +Reflow re-packs text densely and marks original newlines with the ↵ glyph +(U+21B5) before rendering to PNG. It reduces image count by ~30–50% on typical +Claude Code history. This harness verifies that the model still **understands** +reflowed text — telemetry measures tokens/bytes, not comprehension. + +--- + +## Prerequisites + +```bash +# Build the compiled dist/ output (required by the eval scripts) +pnpm run build + +# Extract corpus from your local Claude conversations +node eval/extract-corpus.mjs +``` + +The corpus is written to `eval/corpus/`: +- `text-blocks.json` — text blocks for L1 OCR eval (~20 by default) +- `sessions.json` — conversation sessions for L2 session replay (~10 by default) + +--- + +## L0 — Unit Tests (reference only) + +L0 is a vitest unit test file (`tests/render.test.ts` plus a forthcoming +`tests/reflow.test.ts` owned by the core team). It tests the `reflow` / +`dereflow` / `renderTextToPngsReflow` functions in isolation. + +```bash +# Run all unit tests including L0 +pnpm test +``` + +L0 does not require an API key and runs in CI. It verifies: +- `dereflow(reflow(t)) === minifyForRender(t)` for all `t` +- Sentinel collision fallback +- Image dimensions and chunk counts + +--- + +## L1 — OCR Fidelity + +Renders text blocks to PNG **two ways** (baseline and reflow), sends each image +set to the Anthropic API asking for verbatim transcription, then diffs the +result against the source using character-level Levenshtein edit distance. + +The reflow system prompt includes: *"↵ denotes a line break"*. + +### Dry run (no API key, no cost) + +```bash +node eval/eval-l1-ocr.mjs --dry-run +# or via orchestrator: +node eval/run-eval.mjs --level 1 --dry-run +``` + +### Cost estimate only + +```bash +node eval/run-eval.mjs --estimate-only +``` + +### Real run + +```bash +export ANTHROPIC_API_KEY=sk-ant-... +node eval/eval-l1-ocr.mjs --confirm +# or: +node eval/run-eval.mjs --level 1 --confirm +``` + +### Estimated cost (L1 only, 20 blocks, claude-sonnet-4-5) + +| Item | Estimate | +|------|---------| +| API calls | 40 (2 per block × 20 blocks) | +| Input tokens | ~70,000–90,000 (dominated by image tiles) | +| Output tokens | ~10,000–20,000 (transcriptions) | +| **USD** | **~$0.50–$1.00** | + +The actual cost depends on rendered image sizes. Most blocks produce 1–2 PNGs, +costing ~1,600 tokens per image tile at Sonnet pricing. + +### Output + +- `eval/results/l1-report.md` — markdown report with per-block scores +- `eval/results/l1-results.json` — raw JSON for programmatic use + +### Interpreting L1 results + +| Metric | Threshold | Meaning | +|--------|-----------|---------| +| Mean char accuracy delta | ≥ −2pp | Acceptable; within noise | +| Mean char accuracy delta | < −5pp | Reflow OCR materially worse | +| Macro accuracy (reflow) | ≥ 95% | High overall character fidelity | +| Image count savings | 30–50% | Expected typical range | + +A negative delta means reflow is slightly less accurate. Up to −2pp is +acceptable because: (a) the reflow system prompt compensates for ↵ rendering, +(b) real accuracy is bounded by the model's vision encoder, not the sentinel. + +--- + +## L2 — Task-level A/B Session Replay + +**This is the real gate.** Extracts real conversation sessions from +`~/.claude/projects/**/*.jsonl`, renders the history both ways, asks the +model to produce the next turn in the conversation, then uses a model-judge +to score whether the reflow-history answer is as good as the baseline. + +### Dry run + +```bash +node eval/eval-l2-session.mjs --dry-run +# or: +node eval/run-eval.mjs --level 2 --dry-run +``` + +### Real run + +```bash +export ANTHROPIC_API_KEY=sk-ant-... +node eval/eval-l2-session.mjs --confirm +# or full pipeline: +node eval/run-eval.mjs --level all --confirm +``` + +### Estimated cost (L2 only, 10 sessions, claude-sonnet-4-5) + +| Item | Estimate | +|------|---------| +| API calls | 30 (2 replay + 1 judge per session × 10) | +| Input tokens | ~200,000–400,000 (history images are large) | +| Output tokens | ~10,000–30,000 | +| **USD** | **~$1.50–$4.00** | + +History rendering dominates: each session history is 2,000–8,000 chars → 1–5 +images → 1,600–8,000 input tokens per image call. Use `--max-sessions` to +control scope. + +### Full run cost (L1 + L2, 20 blocks + 10 sessions) + +**~$2.00–$5.00 USD** with claude-sonnet-4-5. + +Use `--model claude-haiku-4-5` to reduce cost by ~4× at some accuracy trade-off. + +### Output + +- `eval/results/l2-report.md` — markdown report with per-session judge scores +- `eval/results/l2-results.json` — raw JSON +- `eval/results/summary.md` — combined summary with shipping gate checklist + +### Interpreting L2 results + +| Metric | Threshold | Action | +|--------|-----------|--------| +| Mean judge score | ≥ 0.80 | ✅ Ship reflow | +| Mean judge score | 0.65–0.79 | ⚠️ Investigate failing sessions | +| Mean judge score | < 0.65 | ❌ Do not ship reflow | +| Pass rate (≥ 0.75) | ≥ 80% | ✅ Consistent quality | +| Pass rate | 60–79% | ⚠️ Some sessions fail | +| Pass rate | < 60% | ❌ Widespread comprehension loss | + +The judge uses this scoring rubric: +- **1.0** — semantically equivalent to baseline +- **0.8** — mostly equivalent, minor differences +- **0.6** — partially equivalent, some content missing +- **0.4** — substantially worse +- **0.2** — mostly unrelated +- **0.0** — completely wrong + +--- + +## Full Pipeline + +```bash +# 1. Build dist/ +pnpm run build + +# 2. Extract corpus (writes eval/corpus/) +node eval/extract-corpus.mjs --max-blocks 20 --max-sessions 10 + +# 3. Cost estimate +node eval/run-eval.mjs --estimate-only + +# 4. Dry run (verify end-to-end without spend) +node eval/run-eval.mjs --dry-run + +# 5. Real run (requires API key + explicit --confirm) +export ANTHROPIC_API_KEY=sk-ant-... +node eval/run-eval.mjs --confirm + +# 6. View results +cat eval/results/summary.md +``` + +--- + +## Options Reference + +### `extract-corpus.mjs` + +| Flag | Default | Description | +|------|---------|-------------| +| `--max-blocks N` | 20 | Max text blocks for L1 | +| `--max-sessions N` | 10 | Max sessions for L2 | +| `--out-dir DIR` | eval/corpus | Output directory | +| `--projects-dir DIR` | `~/.claude/projects` | Claude projects directory | +| `--verbose` | false | Verbose progress | + +### `eval-l1-ocr.mjs` / `eval-l2-session.mjs` / `run-eval.mjs` + +| Flag | Default | Description | +|------|---------|-------------| +| `--dry-run` | false | No API calls; fake scores | +| `--confirm` | false | Required for real API spend | +| `--max-blocks N` | 20 | L1 block count | +| `--max-sessions N` | 10 | L2 session count | +| `--model NAME` | claude-sonnet-4-5 | Replay + transcription model | +| `--judge-model NAME` | (same as model) | L2 judge model | +| `--corpus-dir DIR` | eval/corpus | Corpus input directory | +| `--out-dir DIR` | eval/results | Results output directory | +| `--estimate-only` | false | Print cost estimate and exit | +| `--skip-extract` | false | Skip corpus extraction step | +| `--level 1\|2\|all` | all | Which levels to run (run-eval only) | +| `--verbose` | false | Verbose per-block/session output | + +--- + +## File Layout + +``` +eval/ +├── README.md ← this file +├── extract-corpus.mjs ← corpus extraction from ~/.claude/projects +├── eval-l1-ocr.mjs ← L1 OCR fidelity eval +├── eval-l2-session.mjs ← L2 session replay eval +├── run-eval.mjs ← top-level orchestrator +├── lib/ +│ ├── anthropic-client.mjs ← minimal Anthropic API client (fetch-based) +│ ├── cost.mjs ← token/USD cost estimator +│ ├── diff.mjs ← Levenshtein + character accuracy scorer +│ └── render-bridge.mjs ← imports render functions from dist/ +├── corpus/ ← generated by extract-corpus.mjs +│ ├── text-blocks.json +│ └── sessions.json +└── results/ ← generated by eval runs + ├── l1-report.md + ├── l1-results.json + ├── l2-report.md + ├── l2-results.json + └── summary.md +``` + +--- + +## Notes + +- The eval imports from `dist/core/render.js`. Run `pnpm run build` first. +- No extra npm packages are required. The Anthropic client uses Node's built-in `fetch`. +- Dry-run mode simulates ~3% OCR error rate to produce non-trivial diff scores. +- The corpus extractor gracefully falls back to a synthetic corpus when + `~/.claude/projects` is empty or absent. +- `.claude/` is globally gitignored — corpus and results are in `eval/` and + should be added to `.gitignore` if you don't want to commit them. diff --git a/eval/eval-l1-ocr.mjs b/eval/eval-l1-ocr.mjs new file mode 100644 index 0000000..5a95d56 --- /dev/null +++ b/eval/eval-l1-ocr.mjs @@ -0,0 +1,313 @@ +#!/usr/bin/env node +/** + * eval/eval-l1-ocr.mjs — Level 1: OCR Fidelity + * + * For each text block in eval/corpus/text-blocks.json: + * 1. Render with renderTextToPngs() → "baseline" PNGs + * 2. Render with renderTextToPngsReflow() → "reflow" PNGs + * 3. Send each image set to the Anthropic Messages API asking for verbatim + * transcription (reflow system prompt includes the ↵ explanation) + * 4. Diff each transcription against minifyForRender(source) using + * character-level Levenshtein edit distance + * 5. Aggregate and write eval/results/l1-report.md + * + * Flags: + * --dry-run Skip API calls; print what would be sent + use fake scores + * --confirm Required for real API calls (cost confirmation gate) + * --max-blocks Override number of blocks to evaluate (default: all in corpus) + * --model Anthropic model to use (default: claude-sonnet-4-5) + * --corpus-dir Directory containing text-blocks.json (default: eval/corpus) + * --out-dir Results directory (default: eval/results) + */ + +import { readFileSync, mkdirSync, writeFileSync, existsSync } from 'node:fs'; +import { join, resolve, dirname } from 'node:path'; +import { fileURLToPath } from 'node:url'; +import { parseArgs } from 'node:util'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); + +// --------------------------------------------------------------------------- +// CLI +// --------------------------------------------------------------------------- +const { values: args } = parseArgs({ + options: { + 'dry-run': { type: 'boolean', default: false }, + 'confirm': { type: 'boolean', default: false }, + 'max-blocks': { type: 'string', default: '0' }, // 0 = all + 'model': { type: 'string', default: 'claude-sonnet-4-5' }, + 'corpus-dir': { type: 'string', default: join(__dirname, 'corpus') }, + 'out-dir': { type: 'string', default: join(__dirname, 'results') }, + 'verbose': { type: 'boolean', default: false }, + 'help': { type: 'boolean', default: false }, + }, + allowPositionals: false, +}); + +if (args.help) { + console.log(` +Usage: node eval/eval-l1-ocr.mjs [options] + +Options: + --dry-run Run without API calls (fake scores) + --confirm Confirm real API spend (required without --dry-run) + --max-blocks N Evaluate at most N blocks (default: all) + --model NAME Anthropic model (default: claude-sonnet-4-5) + --corpus-dir Path to corpus directory (default: eval/corpus) + --out-dir Output directory for results (default: eval/results) + --verbose Print per-block progress + --help Show this help +`); + process.exit(0); +} + +const DRY_RUN = args['dry-run']; +const CONFIRMED = args['confirm']; +const MAX_BLOCKS = parseInt(args['max-blocks'], 10); +const MODEL = args['model']; +const CORPUS_DIR = resolve(args['corpus-dir']); +const OUT_DIR = resolve(args['out-dir']); +const VERBOSE = args['verbose']; + +// --------------------------------------------------------------------------- +// Imports +// --------------------------------------------------------------------------- + +const { renderTextToPngs, renderTextToPngsReflow, minifyForRender, bytesToBase64 } = + await import('./lib/render-bridge.mjs'); + +const { createClient } = await import('./lib/anthropic-client.mjs'); +const { scoreTranscription, aggregateScores } = await import('./lib/diff.mjs'); +const { printCostEstimate, estimateImageCount, DEFAULT_MODEL, estimateL1CallCost } = + await import('./lib/cost.mjs'); + +// --------------------------------------------------------------------------- +// Load corpus +// --------------------------------------------------------------------------- + +const blocksPath = join(CORPUS_DIR, 'text-blocks.json'); +if (!existsSync(blocksPath)) { + console.error(`[L1] Corpus not found at ${blocksPath}`); + console.error(` Run: node eval/extract-corpus.mjs`); + process.exit(1); +} + +let blocks = JSON.parse(readFileSync(blocksPath, 'utf8')); +if (MAX_BLOCKS > 0) blocks = blocks.slice(0, MAX_BLOCKS); +console.log(`[L1] Loaded ${blocks.length} text blocks from corpus`); + +// --------------------------------------------------------------------------- +// Cost estimate gate +// --------------------------------------------------------------------------- + +const corpus = { l1Blocks: blocks, l2Sessions: [] }; +const totalUsd = printCostEstimate(corpus, MODEL); + +if (!DRY_RUN && !CONFIRMED) { + console.error( + `[L1] Real API calls require --confirm flag.\n` + + ` Estimated cost: $${totalUsd.toFixed(4)}\n` + + ` Re-run with: node eval/eval-l1-ocr.mjs --confirm\n` + + ` Or test without spend: node eval/eval-l1-ocr.mjs --dry-run`, + ); + process.exit(1); +} + +if (DRY_RUN) { + console.log('[L1] DRY RUN — no API calls will be made\n'); +} else { + console.log(`[L1] CONFIRMED — will spend ~$${totalUsd.toFixed(4)} USD\n`); +} + +// --------------------------------------------------------------------------- +// Set up Anthropic client +// --------------------------------------------------------------------------- + +const client = createClient({ model: MODEL, dryRun: DRY_RUN }); + +// --------------------------------------------------------------------------- +// System prompts +// --------------------------------------------------------------------------- + +const BASELINE_SYSTEM = `You are a precise OCR transcription assistant. +You will be shown an image containing rendered text. +Transcribe the text EXACTLY as it appears — preserve all line breaks, spacing, punctuation, and indentation. +Do not add explanations, commentary, or markdown formatting. +Output only the transcribed text.`; + +const REFLOW_SYSTEM = `You are a precise OCR transcription assistant. +You will be shown an image containing rendered text in a special "reflowed" format. +In this format, the glyph ↵ (U+21B5) denotes an original hard line break. +When transcribing: + - Replace each ↵ with a real newline character + - Preserve all other spacing and punctuation exactly + - Do not add explanations, commentary, or markdown formatting +Output only the transcribed text with line breaks restored.`; + +// --------------------------------------------------------------------------- +// Per-block evaluation +// --------------------------------------------------------------------------- + +/** @type {Array<{ blockIdx: number, charCount: number, baselineScore: object, reflowScore: object, baselineImageCount: number, reflowImageCount: number, dryRun: boolean }>} */ +const results = []; + +for (let idx = 0; idx < blocks.length; idx++) { + const block = blocks[idx]; + const source = block.text; + const reference = minifyForRender(source); + + console.log(`[L1] Block ${idx + 1}/${blocks.length} (${source.length} chars, role=${block.role})`); + + // --- Render both ways --- + let baselineImages, reflowImages; + try { + [baselineImages, reflowImages] = await Promise.all([ + renderTextToPngs(source), + renderTextToPngsReflow(source), + ]); + } catch (err) { + console.error(` ERROR rendering block ${idx}: ${err.message}`); + continue; + } + + if (VERBOSE) { + console.log(` baseline: ${baselineImages.length} PNG(s), reflow: ${reflowImages.length} PNG(s)`); + } + + if (!DRY_RUN && VERBOSE) { + console.log(` Sending to API …`); + } + + // --- Baseline OCR call --- + const baselineApiContent = baselineImages.map(img => ({ + type: 'image', + source: { type: 'base64', media_type: 'image/png', data: bytesToBase64(img.png) }, + })); + baselineApiContent.push({ type: 'text', text: 'Transcribe this text verbatim.' }); + + // --- Reflow OCR call --- + const reflowApiContent = reflowImages.map(img => ({ + type: 'image', + source: { type: 'base64', media_type: 'image/png', data: bytesToBase64(img.png) }, + })); + reflowApiContent.push({ type: 'text', text: 'Transcribe this text verbatim, replacing ↵ with line breaks.' }); + + let baselineResp, reflowResp; + try { + [baselineResp, reflowResp] = await Promise.all([ + client.messages({ + system: BASELINE_SYSTEM, + messages: [{ role: 'user', content: baselineApiContent }], + max_tokens: 2048, + }), + client.messages({ + system: REFLOW_SYSTEM, + messages: [{ role: 'user', content: reflowApiContent }], + max_tokens: 2048, + }), + ]); + } catch (err) { + console.error(` ERROR calling API for block ${idx}: ${err.message}`); + continue; + } + + const baselineText = baselineResp.content?.[0]?.text ?? ''; + const reflowText = reflowResp.content?.[0]?.text ?? ''; + + const baselineScore = scoreTranscription({ reference, hypothesis: baselineText }); + const reflowScore = scoreTranscription({ reference, hypothesis: reflowText }); + + if (VERBOSE) { + console.log(` baseline accuracy: ${(baselineScore.charAccuracy * 100).toFixed(1)}% ` + + `edit dist: ${baselineScore.editDistance}`); + console.log(` reflow accuracy: ${(reflowScore.charAccuracy * 100).toFixed(1)}% ` + + `edit dist: ${reflowScore.editDistance}`); + } + + results.push({ + blockIdx: idx, + charCount: source.length, + role: block.role, + baselineImageCount: baselineImages.length, + reflowImageCount: reflowImages.length, + baselineScore, + reflowScore, + dryRun: DRY_RUN, + }); +} + +// --------------------------------------------------------------------------- +// Aggregate +// --------------------------------------------------------------------------- + +const baselineAgg = aggregateScores(results.map(r => r.baselineScore)); +const reflowAgg = aggregateScores(results.map(r => r.reflowScore)); + +const imageSavingsPct = results.length > 0 + ? (1 - results.reduce((s, r) => s + r.reflowImageCount, 0) / + Math.max(1, results.reduce((s, r) => s + r.baselineImageCount, 0))) * 100 + : 0; + +// --------------------------------------------------------------------------- +// Write report +// --------------------------------------------------------------------------- + +mkdirSync(OUT_DIR, { recursive: true }); + +const reportLines = [ + `# L1 OCR Fidelity Report`, + ``, + `**Generated:** ${new Date().toISOString()} `, + `**Model:** ${MODEL} `, + `**Dry run:** ${DRY_RUN} `, + `**Blocks evaluated:** ${results.length}`, + ``, + `## Summary`, + ``, + `| Metric | Baseline | Reflow | Delta |`, + `|--------|----------|--------|-------|`, + `| Mean char accuracy | ${(baselineAgg.meanAccuracy * 100).toFixed(2)}% | ${(reflowAgg.meanAccuracy * 100).toFixed(2)}% | ${((reflowAgg.meanAccuracy - baselineAgg.meanAccuracy) * 100).toFixed(2)}pp |`, + `| Median char accuracy | ${(baselineAgg.medianAccuracy * 100).toFixed(2)}% | ${(reflowAgg.medianAccuracy * 100).toFixed(2)}% | ${((reflowAgg.medianAccuracy - baselineAgg.medianAccuracy) * 100).toFixed(2)}pp |`, + `| Min char accuracy | ${(baselineAgg.minAccuracy * 100).toFixed(2)}% | ${(reflowAgg.minAccuracy * 100).toFixed(2)}% | ${((reflowAgg.minAccuracy - baselineAgg.minAccuracy) * 100).toFixed(2)}pp |`, + `| Macro accuracy (all chars) | ${(baselineAgg.macroAccuracy * 100).toFixed(2)}% | ${(reflowAgg.macroAccuracy * 100).toFixed(2)}% | ${((reflowAgg.macroAccuracy - baselineAgg.macroAccuracy) * 100).toFixed(2)}pp |`, + `| Total edit distance | ${baselineAgg.totalEdits} | ${reflowAgg.totalEdits} | ${reflowAgg.totalEdits - baselineAgg.totalEdits} |`, + `| Image count savings | — | ${imageSavingsPct.toFixed(1)}% fewer images | |`, + ``, + `## Interpretation`, + ``, + `- **≥ −2pp accuracy delta** → reflow comprehension is acceptable (within noise)`, + `- **< −5pp accuracy delta** → reflow OCR is materially worse; investigate before shipping`, + `- **Image savings** → higher is better (fewer images = lower token cost per call)`, + ``, + `## Per-Block Results`, + ``, + `| Block | Chars | Role | Baseline PNGs | Reflow PNGs | Baseline Acc | Reflow Acc | Δ Accuracy |`, + `|-------|-------|------|--------------|-------------|-------------|-----------|-----------|`, + ...results.map(r => + `| ${r.blockIdx + 1} | ${r.charCount} | ${r.role} | ${r.baselineImageCount} | ${r.reflowImageCount} | ${(r.baselineScore.charAccuracy * 100).toFixed(1)}% | ${(r.reflowScore.charAccuracy * 100).toFixed(1)}% | ${((r.reflowScore.charAccuracy - r.baselineScore.charAccuracy) * 100).toFixed(1)}pp |` + ), + ``, + DRY_RUN ? `> ⚠️ **Dry-run mode**: scores are simulated with artificial OCR noise (~3% error rate). Real scores require \`--confirm\`.` : '', +]; + +const reportPath = join(OUT_DIR, 'l1-report.md'); +writeFileSync(reportPath, reportLines.join('\n'), 'utf8'); + +// Also write raw JSON for programmatic use +const jsonPath = join(OUT_DIR, 'l1-results.json'); +writeFileSync(jsonPath, JSON.stringify({ results, baselineAgg, reflowAgg, imageSavingsPct, dryRun: DRY_RUN }, null, 2), 'utf8'); + +// --------------------------------------------------------------------------- +// Console summary +// --------------------------------------------------------------------------- + +console.log(`\n${'─'.repeat(60)}`); +console.log(` L1 OCR FIDELITY SUMMARY (${DRY_RUN ? 'DRY RUN' : 'REAL'})`); +console.log(`${'─'.repeat(60)}`); +console.log(` Blocks evaluated: ${results.length}`); +console.log(` Baseline mean acc: ${(baselineAgg.meanAccuracy * 100).toFixed(2)}%`); +console.log(` Reflow mean acc: ${(reflowAgg.meanAccuracy * 100).toFixed(2)}%`); +console.log(` Accuracy delta: ${((reflowAgg.meanAccuracy - baselineAgg.meanAccuracy) * 100).toFixed(2)}pp`); +console.log(` Image savings: ${imageSavingsPct.toFixed(1)}%`); +console.log(` Report: ${reportPath}`); +console.log(`${'─'.repeat(60)}\n`); diff --git a/eval/eval-l2-session.mjs b/eval/eval-l2-session.mjs new file mode 100644 index 0000000..2041edc --- /dev/null +++ b/eval/eval-l2-session.mjs @@ -0,0 +1,388 @@ +#!/usr/bin/env node +/** + * eval/eval-l2-session.mjs — Level 2: Task-level A/B Session Replay + * + * For each session in eval/corpus/sessions.json: + * 1. Render the conversation history both ways: + * baseline → renderTextToPngs() + * reflow → renderTextToPngsReflow() + * 2. Ask the model to produce the next turn in the conversation, + * using each rendered history as context + * 3. Use a model-judge to score whether the reflow-history answer is + * as good as the baseline-history answer (0–1 scale) + * 4. Aggregate and write eval/results/l2-report.md + * + * Flags: same pattern as eval-l1-ocr.mjs + * --dry-run Skip API calls; print what would be sent + use fake scores + * --confirm Required for real API calls (cost confirmation gate) + * --max-sessions Override session count (default: all in corpus) + * --model Anthropic model (default: claude-sonnet-4-5) + * --judge-model Anthropic model for judge (default: same as --model) + * --corpus-dir Directory with sessions.json (default: eval/corpus) + * --out-dir Results directory (default: eval/results) + */ + +import { readFileSync, mkdirSync, writeFileSync, existsSync } from 'node:fs'; +import { join, resolve, dirname } from 'node:path'; +import { fileURLToPath } from 'node:url'; +import { parseArgs } from 'node:util'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); + +// --------------------------------------------------------------------------- +// CLI +// --------------------------------------------------------------------------- +const { values: args } = parseArgs({ + options: { + 'dry-run': { type: 'boolean', default: false }, + 'confirm': { type: 'boolean', default: false }, + 'max-sessions': { type: 'string', default: '0' }, // 0 = all + 'model': { type: 'string', default: 'claude-sonnet-4-5' }, + 'judge-model': { type: 'string', default: '' }, + 'corpus-dir': { type: 'string', default: join(__dirname, 'corpus') }, + 'out-dir': { type: 'string', default: join(__dirname, 'results') }, + 'verbose': { type: 'boolean', default: false }, + 'help': { type: 'boolean', default: false }, + }, + allowPositionals: false, +}); + +if (args.help) { + console.log(` +Usage: node eval/eval-l2-session.mjs [options] + +Options: + --dry-run Run without API calls (fake scores) + --confirm Confirm real API spend (required without --dry-run) + --max-sessions N Evaluate at most N sessions (default: all) + --model NAME Anthropic model for replay (default: claude-sonnet-4-5) + --judge-model NAME Anthropic model for judge (default: same as --model) + --corpus-dir Path to corpus directory (default: eval/corpus) + --out-dir Output directory for results (default: eval/results) + --verbose Print per-session progress + --help Show this help +`); + process.exit(0); +} + +const DRY_RUN = args['dry-run']; +const CONFIRMED = args['confirm']; +const MAX_SESS = parseInt(args['max-sessions'], 10); +const MODEL = args['model']; +const JUDGE_MODEL = args['judge-model'] || MODEL; +const CORPUS_DIR = resolve(args['corpus-dir']); +const OUT_DIR = resolve(args['out-dir']); +const VERBOSE = args['verbose']; + +// --------------------------------------------------------------------------- +// Imports +// --------------------------------------------------------------------------- + +const { renderTextToPngs, renderTextToPngsReflow, bytesToBase64 } = + await import('./lib/render-bridge.mjs'); + +const { createClient } = await import('./lib/anthropic-client.mjs'); +const { printCostEstimate, estimateImageCount, estimateL2SessionCost } = + await import('./lib/cost.mjs'); + +// --------------------------------------------------------------------------- +// Load corpus +// --------------------------------------------------------------------------- + +const sessionsPath = join(CORPUS_DIR, 'sessions.json'); +if (!existsSync(sessionsPath)) { + console.error(`[L2] Corpus not found at ${sessionsPath}`); + console.error(` Run: node eval/extract-corpus.mjs`); + process.exit(1); +} + +let sessions = JSON.parse(readFileSync(sessionsPath, 'utf8')); +if (MAX_SESS > 0) sessions = sessions.slice(0, MAX_SESS); +console.log(`[L2] Loaded ${sessions.length} sessions from corpus`); + +// --------------------------------------------------------------------------- +// Cost estimate gate +// --------------------------------------------------------------------------- + +const corpus = { l1Blocks: [], l2Sessions: sessions }; +const totalUsd = printCostEstimate(corpus, MODEL); + +if (!DRY_RUN && !CONFIRMED) { + console.error( + `[L2] Real API calls require --confirm flag.\n` + + ` Estimated cost: $${totalUsd.toFixed(4)}\n` + + ` Re-run with: node eval/eval-l2-session.mjs --confirm\n` + + ` Or test without spend: node eval/eval-l2-session.mjs --dry-run`, + ); + process.exit(1); +} + +if (DRY_RUN) { + console.log('[L2] DRY RUN — no API calls will be made\n'); +} else { + console.log(`[L2] CONFIRMED — will spend ~$${totalUsd.toFixed(4)} USD\n`); +} + +// --------------------------------------------------------------------------- +// Clients +// --------------------------------------------------------------------------- + +const replayClient = createClient({ model: MODEL, dryRun: DRY_RUN }); +const judgeClient = createClient({ model: JUDGE_MODEL, dryRun: DRY_RUN }); + +// --------------------------------------------------------------------------- +// Prompts +// --------------------------------------------------------------------------- + +const REPLAY_SYSTEM = `You are an AI assistant continuing a conversation. +The conversation history has been rendered as images for context efficiency. +Read the history carefully and produce the next assistant response. +Be concise and directly address the user's question.`; + +const JUDGE_SYSTEM = `You are an expert evaluator judging the quality of AI assistant responses. +You will be given: + - A REFERENCE answer (produced using the standard history rendering) + - A CANDIDATE answer (produced using a compressed "reflow" history rendering) + - The QUESTION that was asked + +Score the CANDIDATE answer from 0.0 to 1.0: + 1.0 = semantically equivalent to reference, addresses the question equally well + 0.8 = mostly equivalent, minor information loss + 0.6 = partially equivalent, some relevant content missing + 0.4 = substantially worse, significant information missing + 0.2 = poor, mostly unrelated + 0.0 = completely wrong or missing + +Respond with ONLY a JSON object in this exact format (no markdown, no explanation outside JSON): +{"score": , "verdict": "", "reasoning": ""} + +"pass" if score >= 0.75, "borderline" if 0.5 <= score < 0.75, "fail" if score < 0.5.`; + +// --------------------------------------------------------------------------- +// Per-session evaluation +// --------------------------------------------------------------------------- + +/** @type {Array} */ +const results = []; + +for (let idx = 0; idx < sessions.length; idx++) { + const session = sessions[idx]; + console.log(`[L2] Session ${idx + 1}/${sessions.length} ` + + `(${session.totalTurns} turns, ${session.historyCharCount} history chars)`); + + const historyText = session.historyText; + const questionText = session.questionText; + const expectedAnswer = session.expectedAnswer; + + // --- Render history both ways --- + let baselineImages, reflowImages; + try { + [baselineImages, reflowImages] = await Promise.all([ + renderTextToPngs(historyText), + renderTextToPngsReflow(historyText), + ]); + } catch (err) { + console.error(` ERROR rendering session ${idx}: ${err.message}`); + continue; + } + + if (VERBOSE) { + console.log(` baseline: ${baselineImages.length} PNG(s), reflow: ${reflowImages.length} PNG(s)`); + console.log(` question: ${questionText.slice(0, 80)}…`); + } + + // Build image content blocks helper + const toImageBlocks = (images) => images.map(img => ({ + type: 'image', + source: { type: 'base64', media_type: 'image/png', data: bytesToBase64(img.png) }, + })); + + // --- Baseline replay call --- + const baselineMessages = [ + { + role: 'user', + content: [ + ...toImageBlocks(baselineImages), + { type: 'text', text: `The above images contain the conversation history.\n\nUser question: ${questionText}` }, + ], + }, + ]; + + // --- Reflow replay call --- + const reflowMessages = [ + { + role: 'user', + content: [ + ...toImageBlocks(reflowImages), + { + type: 'text', + text: `The above images contain the conversation history in reflowed format.\n` + + `Note: the ↵ glyph (U+21B5) in the images denotes a hard line break.\n\n` + + `User question: ${questionText}`, + }, + ], + }, + ]; + + let baselineResp, reflowResp; + try { + [baselineResp, reflowResp] = await Promise.all([ + replayClient.messages({ system: REPLAY_SYSTEM, messages: baselineMessages, max_tokens: 512 }), + replayClient.messages({ system: REPLAY_SYSTEM, messages: reflowMessages, max_tokens: 512 }), + ]); + } catch (err) { + console.error(` ERROR in replay calls for session ${idx}: ${err.message}`); + continue; + } + + const baselineAnswer = baselineResp.content?.[0]?.text ?? ''; + const reflowAnswer = reflowResp.content?.[0]?.text ?? ''; + + // --- Judge call --- + const judgeMessages = [ + { + role: 'user', + content: `QUESTION:\n${questionText}\n\n` + + `REFERENCE ANSWER (baseline rendering):\n${baselineAnswer}\n\n` + + `CANDIDATE ANSWER (reflow rendering):\n${reflowAnswer}`, + }, + ]; + + let judgeResp; + try { + judgeResp = await judgeClient.messages({ system: JUDGE_SYSTEM, messages: judgeMessages, max_tokens: 256 }); + } catch (err) { + console.error(` ERROR in judge call for session ${idx}: ${err.message}`); + continue; + } + + // Parse judge response + let judgeResult = { score: 0.5, verdict: 'borderline', reasoning: 'parse error' }; + try { + const text = judgeResp.content?.[0]?.text ?? '{}'; + // Strip any accidental markdown fencing + const cleaned = text.replace(/^```[^\n]*\n?/m, '').replace(/```$/m, '').trim(); + judgeResult = JSON.parse(cleaned); + } catch (e) { + console.error(` WARNING: Could not parse judge JSON: ${judgeResp.content?.[0]?.text?.slice(0, 100)}`); + } + + if (VERBOSE) { + console.log(` Judge score: ${judgeResult.score} verdict: ${judgeResult.verdict}`); + console.log(` Reasoning: ${judgeResult.reasoning}`); + } + + results.push({ + sessionIdx: idx, + sessionId: session.sessionId, + totalTurns: session.totalTurns, + historyCharCount: session.historyCharCount, + baselineImageCount: baselineImages.length, + reflowImageCount: reflowImages.length, + baselineAnswer: baselineAnswer.slice(0, 300), + reflowAnswer: reflowAnswer.slice(0, 300), + judgeScore: judgeResult.score, + judgeVerdict: judgeResult.verdict, + judgeReasoning: judgeResult.reasoning, + dryRun: DRY_RUN, + }); +} + +// --------------------------------------------------------------------------- +// Aggregate +// --------------------------------------------------------------------------- + +const scores = results.map(r => r.judgeScore); +const verdicts = results.map(r => r.judgeVerdict); + +const meanScore = scores.length > 0 ? scores.reduce((s, v) => s + v, 0) / scores.length : 0; +const passCount = verdicts.filter(v => v === 'pass').length; +const borderCount = verdicts.filter(v => v === 'borderline').length; +const failCount = verdicts.filter(v => v === 'fail').length; +const passRate = results.length > 0 ? passCount / results.length : 0; + +const imageSavingsPct = results.length > 0 + ? (1 - results.reduce((s, r) => s + r.reflowImageCount, 0) / + Math.max(1, results.reduce((s, r) => s + r.baselineImageCount, 0))) * 100 + : 0; + +// --------------------------------------------------------------------------- +// Write report +// --------------------------------------------------------------------------- + +mkdirSync(OUT_DIR, { recursive: true }); + +const reportLines = [ + `# L2 Session Replay Report`, + ``, + `**Generated:** ${new Date().toISOString()} `, + `**Replay model:** ${MODEL} `, + `**Judge model:** ${JUDGE_MODEL} `, + `**Dry run:** ${DRY_RUN} `, + `**Sessions evaluated:** ${results.length}`, + ``, + `## Summary`, + ``, + `| Metric | Value |`, + `|--------|-------|`, + `| Mean judge score | ${(meanScore * 100).toFixed(1)}% |`, + `| Pass rate (score ≥ 0.75) | ${(passRate * 100).toFixed(1)}% (${passCount}/${results.length}) |`, + `| Borderline (0.5–0.75) | ${borderCount} |`, + `| Fail (< 0.5) | ${failCount} |`, + `| Image count savings | ${imageSavingsPct.toFixed(1)}% fewer images |`, + ``, + `## Interpretation`, + ``, + `- **Mean score ≥ 0.80 + pass rate ≥ 80%** → reflow history is production-safe`, + `- **Mean score 0.65–0.79 or pass rate 60–79%** → borderline; investigate failing sessions`, + `- **Mean score < 0.65 or pass rate < 60%** → reflow causes material comprehension loss; do not ship`, + ``, + `## Per-Session Results`, + ``, + `| # | Session | Turns | Hist Chars | Base PNGs | Reflow PNGs | Judge Score | Verdict |`, + `|---|---------|-------|------------|-----------|-------------|-------------|---------|`, + ...results.map(r => + `| ${r.sessionIdx + 1} | ${r.sessionId.slice(0, 12)}… | ${r.totalTurns} | ${r.historyCharCount} | ${r.baselineImageCount} | ${r.reflowImageCount} | ${(r.judgeScore * 100).toFixed(0)}% | ${r.judgeVerdict} |` + ), + ``, + `## Session Details`, + ``, + ...results.flatMap(r => [ + `### Session ${r.sessionIdx + 1}: ${r.sessionId.slice(0, 20)}`, + ``, + `**Judge score:** ${(r.judgeScore * 100).toFixed(0)}% **Verdict:** ${r.judgeVerdict}`, + ``, + `**Reasoning:** ${r.judgeReasoning}`, + ``, + `**Baseline answer (excerpt):**`, + `> ${r.baselineAnswer.slice(0, 200).replace(/\n/g, '\n> ')}`, + ``, + `**Reflow answer (excerpt):**`, + `> ${r.reflowAnswer.slice(0, 200).replace(/\n/g, '\n> ')}`, + ``, + `---`, + ``, + ]), + DRY_RUN ? `> ⚠️ **Dry-run mode**: all scores are simulated. Real evaluation requires \`--confirm\`.` : '', +]; + +const reportPath = join(OUT_DIR, 'l2-report.md'); +writeFileSync(reportPath, reportLines.join('\n'), 'utf8'); + +const jsonPath = join(OUT_DIR, 'l2-results.json'); +writeFileSync(jsonPath, JSON.stringify({ results, meanScore, passRate, imageSavingsPct, dryRun: DRY_RUN }, null, 2), 'utf8'); + +// --------------------------------------------------------------------------- +// Console summary +// --------------------------------------------------------------------------- + +console.log(`\n${'─'.repeat(60)}`); +console.log(` L2 SESSION REPLAY SUMMARY (${DRY_RUN ? 'DRY RUN' : 'REAL'})`); +console.log(`${'─'.repeat(60)}`); +console.log(` Sessions evaluated: ${results.length}`); +console.log(` Mean judge score: ${(meanScore * 100).toFixed(1)}%`); +console.log(` Pass / borderline / fail: ${passCount} / ${borderCount} / ${failCount}`); +console.log(` Pass rate: ${(passRate * 100).toFixed(1)}%`); +console.log(` Image savings: ${imageSavingsPct.toFixed(1)}%`); +console.log(` Report: ${reportPath}`); +console.log(`${'─'.repeat(60)}\n`); diff --git a/eval/extract-corpus.mjs b/eval/extract-corpus.mjs new file mode 100644 index 0000000..cc50f45 --- /dev/null +++ b/eval/extract-corpus.mjs @@ -0,0 +1,457 @@ +#!/usr/bin/env node +/** + * eval/extract-corpus.mjs + * + * Corpus extraction for the reflow eval harness. + * + * Produces two artefacts in eval/corpus/: + * text-blocks.json – array of plain-text strings suitable for L1 OCR eval + * sessions.json – array of conversation session objects for L2 A/B eval + * + * Memory-safe: processes files one at a time with readline, never loading the + * entire projects directory into memory at once. Stops scanning once targets + * are reached. + * + * Usage: + * node eval/extract-corpus.mjs [--max-blocks N] [--max-sessions N] [--out-dir DIR] + */ + +import { + createReadStream, + readdirSync, + statSync, + writeFileSync, + mkdirSync, + existsSync, +} from 'node:fs'; +import { createInterface } from 'node:readline'; +import { join, resolve } from 'node:path'; +import { homedir } from 'node:os'; +import { parseArgs } from 'node:util'; + +// --------------------------------------------------------------------------- +// CLI args +// --------------------------------------------------------------------------- +const { values: args } = parseArgs({ + options: { + 'max-blocks': { type: 'string', default: '20' }, + 'max-sessions': { type: 'string', default: '10' }, + 'out-dir': { type: 'string', default: 'eval/corpus' }, + 'projects-dir': { type: 'string', default: join(homedir(), '.claude', 'projects') }, + 'verbose': { type: 'boolean', default: false }, + 'help': { type: 'boolean', default: false }, + }, + allowPositionals: false, +}); + +if (args.help) { + console.log(` +Usage: node eval/extract-corpus.mjs [options] + +Options: + --max-blocks N Max text blocks to extract for L1 (default: 20) + --max-sessions N Max sessions to extract for L2 (default: 10) + --out-dir DIR Output directory (default: eval/corpus) + --projects-dir DIR Claude projects dir (default: ~/.claude/projects) + --verbose Print verbose progress + --help Show this help +`); + process.exit(0); +} + +const MAX_BLOCKS = parseInt(args['max-blocks'], 10); +const MAX_SESSIONS = parseInt(args['max-sessions'], 10); +const OUT_DIR = resolve(args['out-dir']); +const PROJECTS_DIR = args['projects-dir']; +const VERBOSE = args['verbose']; + +/** How many files to scan before giving up (avoid scanning 13k+ files). */ +const MAX_FILES_SCANNED = 500; +/** Minimum file size (bytes) to bother reading. */ +const MIN_FILE_BYTES = 2048; + +const log = (...a) => console.log('[extract-corpus]', ...a); +const vlog = (...a) => { if (VERBOSE) log(...a); }; + +// --------------------------------------------------------------------------- +// File discovery — returns files lazily, sorted by size desc +// so we get rich sessions first. +// --------------------------------------------------------------------------- + +function* walkJsonl(dir, limit) { + let count = 0; + if (!existsSync(dir)) return; + + // Collect one level of subdirs + files (projects dir is flat-ish: one subdir per project) + let entries; + try { entries = readdirSync(dir); } catch { return; } + + // Shuffle-ish: sort by name to get variety across projects + entries.sort(); + + for (const entry of entries) { + const full = join(dir, entry); + let st; + try { st = statSync(full); } catch { continue; } + + if (st.isDirectory()) { + // Walk one level into project subdirectories + let subEntries; + try { subEntries = readdirSync(full); } catch { continue; } + // Sort by size desc so we get large (interesting) files first + const withSize = []; + for (const sub of subEntries) { + if (!sub.endsWith('.jsonl')) continue; + const subFull = join(full, sub); + try { + const subSt = statSync(subFull); + if (subSt.size >= MIN_FILE_BYTES) withSize.push({ path: subFull, size: subSt.size }); + } catch { continue; } + } + withSize.sort((a, b) => b.size - a.size); + for (const { path } of withSize) { + if (count++ >= limit) return; + yield path; + } + } else if (entry.endsWith('.jsonl') && st.size >= MIN_FILE_BYTES) { + if (count++ >= limit) return; + yield full; + } + } +} + +// --------------------------------------------------------------------------- +// Stream-parse a single JSONL file line by line +// --------------------------------------------------------------------------- + +/** @returns {Promise} conversation turns from this file */ +async function parseTurnsFromFile(filePath) { + const turns = []; + return new Promise((resolve) => { + const rl = createInterface({ + input: createReadStream(filePath, { encoding: 'utf8' }), + crlfDelay: Infinity, + }); + rl.on('line', (line) => { + if (!line.trim()) return; + let rec; + try { rec = JSON.parse(line); } catch { return; } + // Only keep user/assistant turns with content + if ( + (rec.type === 'user' || rec.type === 'assistant') && + rec.message?.role && + rec.message?.content + ) { + turns.push(rec); + } + }); + rl.on('close', () => resolve(turns)); + rl.on('error', () => resolve(turns)); + }); +} + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +function extractText(content) { + if (typeof content === 'string') return content; + if (!Array.isArray(content)) return ''; + return content + .filter(b => b?.type === 'text' && typeof b.text === 'string') + .map(b => b.text) + .join('\n\n'); +} + +function isGoodBlock(text) { + if (!text || text.trim().length < 200) return false; + if (/^warmup$/i.test(text.trim())) return false; + if (text.trim().split('\n').length < 3) return false; + return true; +} + +// --------------------------------------------------------------------------- +// Main extraction loop — streams through files one at a time +// --------------------------------------------------------------------------- + +log(`Scanning ${PROJECTS_DIR} …`); +if (!existsSync(PROJECTS_DIR)) { + log(`WARNING: projects dir not found at ${PROJECTS_DIR} — using synthetic corpus`); +} + +const l1Blocks = []; +const l2Sessions = []; +const seenTexts = new Set(); +let filesScanned = 0; + +const TARGET_BLOCKS = MAX_BLOCKS; +const TARGET_SESSIONS = MAX_SESSIONS; +// Over-sample slightly so we can dedup and still hit target +const BLOCK_OVERSAMPLE = Math.min(TARGET_BLOCKS * 3, TARGET_BLOCKS + 20); +const SESSION_OVERSAMPLE = Math.min(TARGET_SESSIONS * 2, TARGET_SESSIONS + 10); + +for (const filePath of walkJsonl(PROJECTS_DIR, MAX_FILES_SCANNED)) { + const done = l1Blocks.length >= BLOCK_OVERSAMPLE && l2Sessions.length >= SESSION_OVERSAMPLE; + if (done) break; + + filesScanned++; + vlog(`Scanning file ${filesScanned}: ${filePath.split('/').slice(-2).join('/')}`); + + const turns = await parseTurnsFromFile(filePath); + if (turns.length < 2) continue; + + // Extract text blocks for L1 + if (l1Blocks.length < BLOCK_OVERSAMPLE) { + for (const turn of turns) { + if (l1Blocks.length >= BLOCK_OVERSAMPLE) break; + const text = extractText(turn.message.content); + if (!isGoodBlock(text)) continue; + const key = text.slice(0, 80); + if (seenTexts.has(key)) continue; + seenTexts.add(key); + l1Blocks.push({ + sessionId: turn.sessionId ?? 'unknown', + role: turn.message.role, + charCount: text.length, + text: text.slice(0, 4000), + }); + } + } + + // Extract sessions for L2 + if (l2Sessions.length < SESSION_OVERSAMPLE && turns.length >= 6) { + const sorted = turns.slice().sort((a, b) => { + const ta = a.timestamp ? new Date(a.timestamp).getTime() : 0; + const tb = b.timestamp ? new Date(b.timestamp).getTime() : 0; + return ta - tb; + }); + + const usable = sorted.filter(t => extractText(t.message.content).trim().length > 50); + if (usable.length < 6) continue; + + const historyText = usable + .slice(0, -2) + .map(t => `[${t.message.role.toUpperCase()}]\n${extractText(t.message.content).slice(0, 1000)}`) + .join('\n\n---\n\n'); + + const questionTurn = usable[usable.length - 2]; + const expectedTurn = usable[usable.length - 1]; + if (!questionTurn || !expectedTurn) continue; + + l2Sessions.push({ + sessionId: turns[0]?.sessionId ?? filePath, + totalTurns: usable.length, + historyCharCount: historyText.length, + historyText: historyText.slice(0, 8000), + questionText: extractText(questionTurn.message.content).slice(0, 2000), + expectedAnswer: extractText(expectedTurn.message.content).slice(0, 2000), + }); + } +} + +log(`Scanned ${filesScanned} files`); + +// --------------------------------------------------------------------------- +// Trim to target sizes +// --------------------------------------------------------------------------- + +// For blocks: sort by length for diversity, then stride-sample +l1Blocks.sort((a, b) => a.charCount - b.charCount); +const stride = Math.max(1, Math.floor(l1Blocks.length / TARGET_BLOCKS)); +const finalBlocks = []; +for (let i = 0; i < l1Blocks.length && finalBlocks.length < TARGET_BLOCKS; i += stride) { + finalBlocks.push(l1Blocks[i]); +} +// Top up if needed +for (const b of l1Blocks) { + if (finalBlocks.length >= TARGET_BLOCKS) break; + if (!finalBlocks.includes(b)) finalBlocks.push(b); +} + +// For sessions: prefer longer histories +l2Sessions.sort((a, b) => b.historyCharCount - a.historyCharCount); +const finalSessions = l2Sessions.slice(0, TARGET_SESSIONS); + +// Fallback to synthetic if still empty +if (finalBlocks.length === 0) { + log('WARNING: no text blocks found — using synthetic fallback corpus'); + finalBlocks.push(...syntheticBlocks()); +} +if (finalSessions.length === 0) { + log('WARNING: no sessions found — using synthetic fallback sessions'); + finalSessions.push(...syntheticSessions()); +} + +log(`Selected ${finalBlocks.length}/${TARGET_BLOCKS} text blocks for L1`); +log(`Selected ${finalSessions.length}/${TARGET_SESSIONS} sessions for L2`); + +// --------------------------------------------------------------------------- +// Write output +// --------------------------------------------------------------------------- + +mkdirSync(OUT_DIR, { recursive: true }); + +const blocksPath = join(OUT_DIR, 'text-blocks.json'); +const sessionsPath = join(OUT_DIR, 'sessions.json'); + +writeFileSync(blocksPath, JSON.stringify(finalBlocks, null, 2), 'utf8'); +writeFileSync(sessionsPath, JSON.stringify(finalSessions, null, 2), 'utf8'); + +log(`Wrote ${finalBlocks.length} blocks → ${blocksPath}`); +log(`Wrote ${finalSessions.length} sessions → ${sessionsPath}`); + +// --------------------------------------------------------------------------- +// Synthetic fallback corpus +// --------------------------------------------------------------------------- + +function syntheticBlocks() { + const SAMPLE_CODE = ` +import { readFileSync } from 'node:fs'; +import { join } from 'node:path'; + +/** + * Parses a JSONL file and returns all records that match the predicate. + * Silently skips malformed lines. + */ +export function filterJsonl(path, predicate) { + return readFileSync(path, 'utf8') + .split('\\n') + .filter(Boolean) + .map(line => { + try { return JSON.parse(line); } + catch { return null; } + }) + .filter(r => r !== null && predicate(r)); +} + +// Example usage: +const records = filterJsonl(join(__dirname, 'data.jsonl'), r => r.type === 'user'); +console.log('Found', records.length, 'user records'); +`.trim(); + + const SAMPLE_LOG = ` +[2026-05-21 10:01:23] INFO Server started on port 3000 +[2026-05-21 10:01:24] DEBUG Atlas loaded: 7429 glyphs, 14858 bytes +[2026-05-21 10:01:25] INFO Proxy listening at http://localhost:3000 +[2026-05-21 10:02:01] DEBUG Incoming request: POST /v1/messages +[2026-05-21 10:02:01] DEBUG Transform applied: 4 images, 2847 chars -> 892 tokens +[2026-05-21 10:02:03] INFO Response: 200 OK (1842ms) +[2026-05-21 10:03:17] DEBUG Incoming request: POST /v1/messages +[2026-05-21 10:03:17] INFO Transform skipped: below min chars (240 < 500) +[2026-05-21 10:03:18] INFO Response: 200 OK (289ms) +[2026-05-21 10:04:55] WARN Dropped chars spike: 42 in last request (top: U+0009 TAB x38) +[2026-05-21 10:05:00] ERROR Render failed: atlas missing U+3000 IDEOGRAPHIC SPACE +[2026-05-21 10:05:00] INFO Falling back to non-reflow render +`.trim(); + + const SAMPLE_DOC = ` +# Reflow Mode - Technical Notes + +The reflow renderer re-packs source text into a dense continuous stream, +using the sentinel glyph to mark every original hard newline. +This eliminates the "dead right margin" that wastes ~71% of each rendered +image in typical Claude Code conversations. + +## Why it works + +Real Claude Code history wraps at ~60-80 chars, but our render canvas is +100 cols wide. Every short line leaves 20-40 cells of blank space that +still costs the same image-token budget as filled cells. + +## Losslessness guarantee + +For any text T that does not contain the sentinel glyph literally: + dereflow(reflow(T)) === minifyForRender(T) + +minifyForRender is the already-accepted lossy step (strips trailing +whitespace, collapses 4+ blank lines). Reflow adds zero additional loss. + +## Sentinel collision + +When T already contains the sentinel glyph, reflow() returns null and the +caller falls back to the standard non-reflow renderer. This is vanishingly +rare in real conversation text (measured: 0 collisions in 1M tokens). +`.trim(); + + const SAMPLE_CONVO = ` +I need to debug why the pixelpipe proxy is adding extra blank lines to the +rendered output. Here is the test case that reproduces it: + + const text = "line one\\n\\nline two\\n\\n\\nline three"; + const rendered = await renderTextToPngs(text); + +The expected output should have at most 2 consecutive blank lines between +"line two" and "line three", but instead I'm seeing 3 blank lines. + +Looking at the minifyForRender function in src/core/render.ts, it should +collapse runs of 4+ newlines (3+ blank lines) down to 3 newlines. But the +regex is matching \\n{4,} which means 4 or more newline characters - that +would be 3 blank lines, not 3+ blank lines. + +Wait, let me re-read: 3 consecutive newlines = 2 blank lines. So \\n{4,} +collapses runs where you'd have 3 or more blank lines. That seems right. + +Let me check whether the issue is in the test expectation rather than the +implementation. With text = "a\\n\\n\\nline three", that's: + a + newline + newline + newline + "line three" + = 3 newlines = 2 blank lines + +And \\n{4,} requires 4 or more. So 3 newlines should NOT be collapsed. +The function seems correct. Let me look at the test more carefully. +`.trim(); + + return [ + { sessionId: 'synthetic', role: 'assistant', charCount: SAMPLE_CODE.length, text: SAMPLE_CODE }, + { sessionId: 'synthetic', role: 'assistant', charCount: SAMPLE_LOG.length, text: SAMPLE_LOG }, + { sessionId: 'synthetic', role: 'assistant', charCount: SAMPLE_DOC.length, text: SAMPLE_DOC }, + { sessionId: 'synthetic', role: 'user', charCount: SAMPLE_CONVO.length, text: SAMPLE_CONVO }, + ]; +} + +function syntheticSessions() { + const historyText = `[USER] +Can you explain how the reflow renderer works in pixelpipe? + +--- + +[ASSISTANT] +The reflow renderer re-packs text into a dense stream using the sentinel glyph. +It eliminates dead right-margin whitespace and can reduce image count by 30-50%. + +The pipeline is: +1. minifyForRender() - strips trailing whitespace, collapses blank lines +2. expandTabsInLine() - converts tabs to visible arrow + spaces +3. join lines with sentinel glyph instead of newline characters + +The sentinel glyph (the return symbol) marks where original hard newlines were, +so the vision model can reconstruct the original structure when reading the image. + +--- + +[USER] +How does it handle the case where the text already contains that sentinel glyph? + +--- + +[ASSISTANT] +When reflow() detects the sentinel glyph in the source text it immediately +returns null. The caller then falls back to the standard renderTextToPngs() path. +This makes losslessness provable: no escape encoding needed, no ambiguity. + +The probability of a real text block containing the U+21B5 return symbol is +extremely low in practice. In production telemetry across 1M tokens, zero +collisions were observed. The symbol only appears intentionally in documents +that are specifically discussing the reflow feature itself.`; + + return [{ + sessionId: 'synthetic', + totalTurns: 6, + historyCharCount: historyText.length, + historyText, + questionText: 'What is the token savings estimate for reflow mode compared to baseline rendering?', + expectedAnswer: + 'Reflow mode is estimated to save 30-50% of image tokens by eliminating dead right-margin whitespace. ' + + 'At 29% glyph fill in typical Claude Code history, most of each rendered image row is blank cells. ' + + 'Reflow packs the text densely so each row reaches the full column width.', + }]; +} diff --git a/eval/lib/anthropic-client.mjs b/eval/lib/anthropic-client.mjs new file mode 100644 index 0000000..399792e --- /dev/null +++ b/eval/lib/anthropic-client.mjs @@ -0,0 +1,253 @@ +/** + * eval/lib/anthropic-client.mjs + * + * Model-call layer for the eval harness. + * + * Runs entirely on the local Claude Max subscription by shelling out to the + * `claude` CLI in headless print mode (`claude -p`). NO Anthropic API key is + * used or required. + * + * Why the CLI and not the HTTP API: + * The operator runs on a Claude Max subscription, which does not expose a + * raw API key. The `claude` binary authenticates via the subscription's + * stored OAuth credentials (~/.claude), so `claude -p` calls bill against + * the subscription, not a metered API key. + * + * Proxy bypass: + * The interactive `claude` shell alias points ANTHROPIC_BASE_URL at the + * local pixelpipe proxy. The eval MUST NOT go through pixelpipe — that would + * transform/compress the very images we are trying to measure. So every call + * here (a) invokes the real binary at ~/.claude/local/claude rather than the + * alias, and (b) strips ANTHROPIC_BASE_URL from the child environment. The + * CLI then talks straight to api.anthropic.com with the subscription token. + * + * Contract — UNCHANGED from the previous HTTP client so the eval scripts need + * no edits: + * createClient({ model?, dryRun? }) -> { messages, dryRun, model } + * messages({ system?, messages, max_tokens? }) + * -> { content: [{ type:'text', text }], usage: {...} } + * + * In --dry-run mode every call is a no-op returning a plausible fake response. + */ + +import { spawn } from 'node:child_process'; +import { writeFileSync, unlinkSync, existsSync } from 'node:fs'; +import { tmpdir, homedir } from 'node:os'; +import { join } from 'node:path'; +import { randomUUID } from 'node:crypto'; + +// Real claude binary — NOT the shell alias, which injects the proxy base URL. +const CLAUDE_BIN = join(homedir(), '.claude', 'local', 'claude'); + +/** + * Map any model string to a CLI alias so the CLI always resolves the latest + * snapshot (the harness defaults to a pinned name that may lag the CLI build). + * @param {string} [model] + */ +function modelAlias(model) { + const m = (model ?? '').toLowerCase(); + if (m.includes('opus')) return 'opus'; + if (m.includes('haiku')) return 'haiku'; + return 'sonnet'; +} + +/** + * Create a client. + * + * @param {{ model?: string, dryRun?: boolean }} opts + * @returns {{ messages: Function, dryRun: boolean, model: string }} + */ +export function createClient(opts = {}) { + const dryRun = !!opts.dryRun; + const model = modelAlias(opts.model); + + /** + * Call the model. + * @param {{ system?: string, messages: object[], max_tokens?: number }} body + * @returns {Promise<{ content: Array<{type:string,text:string}>, usage: object }>} + */ + async function messages(body) { + if (dryRun) return fakeDryRunResponse(body); + return callClaudeCli(body, model); + } + + return { messages, dryRun, model }; +} + +// --------------------------------------------------------------------------- +// Real call — `claude -p` headless on the Max subscription +// --------------------------------------------------------------------------- + +/** + * Translate an Anthropic-format request body into a single headless `claude` + * invocation. Image blocks are written to temp PNG files and referenced by + * path; the CLI reads them with its Read tool. + * + * @param {{ system?: string, messages: object[] }} body + * @param {string} model CLI model alias + */ +async function callClaudeCli(body, model) { + const tmpFiles = []; + const contentParts = []; + let imageCount = 0; + + for (const msg of body.messages ?? []) { + const content = Array.isArray(msg.content) + ? msg.content + : [{ type: 'text', text: String(msg.content ?? '') }]; + for (const blk of content) { + if (blk.type === 'image') { + const p = join(tmpdir(), `eval-img-${randomUUID()}.png`); + writeFileSync(p, Buffer.from(blk.source.data, 'base64')); + tmpFiles.push(p); + imageCount++; + contentParts.push(`[IMAGE #${imageCount} — file: ${p}]`); + } else if (blk.type === 'text') { + contentParts.push(blk.text); + } + } + } + + // Assemble the prompt: system instructions first, then (if any) a directive + // to Read the referenced image files, then the ordered content. + const parts = []; + if (body.system) parts.push(body.system.trim(), ''); + if (imageCount > 0) { + parts.push( + `There ${imageCount === 1 ? 'is 1 image' : `are ${imageCount} images`} ` + + `referenced below by absolute file path. Use the Read tool to view ` + + `${imageCount === 1 ? 'it' : 'each one, in order,'} before answering. ` + + `Do not use any tool other than Read.`, + '', + ); + } + parts.push(...contentParts); + const prompt = parts.join('\n'); + + // Child env: strip the proxy override so the CLI hits the real API directly + // with the subscription OAuth token. + const env = { ...process.env }; + delete env.ANTHROPIC_BASE_URL; + + const args = [ + '-p', + '--model', model, + '--output-format', 'json', + '--no-session-persistence', + '--strict-mcp-config', // load no MCP servers — keep the call lean + ]; + if (imageCount > 0) args.push('--allowedTools', 'Read'); + + let stdout = '', stderr = ''; + try { + await new Promise((resolveP, rejectP) => { + const child = spawn(CLAUDE_BIN, args, { env }); + child.stdout.on('data', d => { stdout += d; }); + child.stderr.on('data', d => { stderr += d; }); + child.on('error', rejectP); + child.on('close', code => { + if (code === 0) resolveP(); + else rejectP(new Error(`claude CLI exited ${code}: ${stderr.slice(0, 400)}`)); + }); + child.stdin.write(prompt); + child.stdin.end(); + }); + } finally { + for (const f of tmpFiles) { + try { if (existsSync(f)) unlinkSync(f); } catch { /* leftover temp is harmless */ } + } + } + + let parsed; + try { + parsed = JSON.parse(stdout); + } catch { + throw new Error(`claude CLI returned non-JSON output: ${stdout.slice(0, 400)}`); + } + if (parsed.is_error || parsed.subtype !== 'success') { + throw new Error(`claude CLI error: ${parsed.result ?? parsed.subtype ?? 'unknown'}`); + } + + return { + id: parsed.session_id ?? 'cli', + type: 'message', + role: 'assistant', + model, + content: [{ type: 'text', text: parsed.result ?? '' }], + usage: { + input_tokens: parsed.usage?.input_tokens ?? 0, + output_tokens: parsed.usage?.output_tokens ?? 0, + }, + }; +} + +// --------------------------------------------------------------------------- +// Dry-run fake responses +// --------------------------------------------------------------------------- + +/** + * Produce a plausible fake response for dry-run mode. + * For OCR tasks: returns a slightly-degraded version of any text it can detect + * in the request (to produce non-trivial diff scores). + * For judge tasks: returns a structured JSON verdict. + */ +function fakeDryRunResponse(body) { + const isJudge = body.system?.includes('judge') || body.system?.includes('score'); + + let extractedText = ''; + for (const msg of body.messages ?? []) { + if (Array.isArray(msg.content)) { + for (const block of msg.content) { + if (block.type === 'text') extractedText += block.text + '\n'; + } + } else if (typeof msg.content === 'string') { + extractedText += msg.content + '\n'; + } + } + + let responseText; + if (isJudge) { + responseText = JSON.stringify({ + score: 0.85, + reasoning: '[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.', + verdict: 'pass', + }); + } else { + responseText = simulateOcrNoise(extractedText.slice(0, 1000)) || + '[DRY RUN] Transcription not available — no text content detected in request.'; + } + + return { + id: 'dry_run_fake_id', + type: 'message', + role: 'assistant', + model: 'dry-run', + content: [{ type: 'text', text: responseText }], + usage: { input_tokens: 0, output_tokens: 0 }, + _dryRun: true, + }; +} + +/** + * Simulate OCR noise by randomly dropping or substituting ~3% of characters. + * Produces a non-trivial edit distance so dry-run diff scoring has something + * to work with. + */ +function simulateOcrNoise(text, errorRate = 0.03) { + if (!text) return text; + const chars = [...text]; // Unicode-safe + const result = []; + for (const ch of chars) { + const r = Math.random(); + if (r < errorRate / 3) { + // drop + } else if (r < errorRate * 2 / 3) { + result.push(ch, ch); // double + } else if (r < errorRate) { + result.push(String.fromCharCode(ch.charCodeAt(0) + 1)); // substitute + } else { + result.push(ch); + } + } + return result.join(''); +} diff --git a/eval/lib/cost.mjs b/eval/lib/cost.mjs new file mode 100644 index 0000000..e5c5fb3 --- /dev/null +++ b/eval/lib/cost.mjs @@ -0,0 +1,233 @@ +/** + * eval/lib/cost.mjs + * + * Token and USD cost estimation for the reflow eval harness. + * Based on Claude claude-sonnet-4-5 pricing (May 2026). + * + * Image token formula: Anthropic charges a fixed cost per image tile. + * For images ≤ 1568×1568: 1 tile = ~1600 tokens (vision overhead). + * We use the empirically-measured 1.17 chars/token for text. + */ + +// --------------------------------------------------------------------------- +// Model pricing (per-million-token rates, USD) — May 2026 +// These are approximate public rates; update if pricing changes. +// --------------------------------------------------------------------------- +export const MODELS = { + 'claude-sonnet-4-5': { + inputPerMtok: 3.00, + outputPerMtok: 15.00, + imageTileTokens: 1600, // tokens charged per image (≤1568×1568) + }, + 'claude-haiku-4-5': { + inputPerMtok: 0.80, + outputPerMtok: 4.00, + imageTileTokens: 1600, + }, +}; + +/** Characters per token for Claude Code transcripts (empirical, N=354). */ +const CHARS_PER_TOKEN = 1.17; + +/** Default model for the eval. */ +export const DEFAULT_MODEL = 'claude-sonnet-4-5'; + +// --------------------------------------------------------------------------- +// Core estimators +// --------------------------------------------------------------------------- + +/** + * Estimate tokens for a plain-text string. + * @param {string} text + * @returns {number} + */ +export function estimateTextTokens(text) { + return Math.ceil(text.length / CHARS_PER_TOKEN); +} + +/** + * Estimate tokens for N rendered PNGs (each ≤ 1568×1568 = 1 tile). + * @param {number} imageCount + * @param {string} model + * @returns {number} + */ +export function estimateImageTokens(imageCount, model = DEFAULT_MODEL) { + const m = MODELS[model] ?? MODELS[DEFAULT_MODEL]; + return imageCount * m.imageTileTokens; +} + +/** + * Rough estimate of how many PNGs renderTextToPngs will produce for a given + * text, at 100 cols, ATLAS_CELL_H=8px, MAX_HEIGHT_PX=1568. + * Mirrors the calculation in src/core/render.ts. + * + * @param {string} text + * @param {number} cols default 100 + * @returns {number} number of PNG images + */ +export function estimateImageCount(text, cols = 100) { + const CELL_H = 8; + const PAD_Y = 4; + const MAX_H = 1568; + const linesPerImg = Math.max(1, Math.floor((MAX_H - 2 * PAD_Y) / CELL_H)); + + // Estimate wrapped line count: chars per row ≈ cols + const wrappedLines = text + .split('\n') + .reduce((acc, line) => acc + Math.max(1, Math.ceil(line.length / cols)), 0); + + return Math.max(1, Math.ceil(wrappedLines / linesPerImg)); +} + +/** + * Estimate total USD cost for a single L1 OCR call. + * + * One call sends: + * system prompt (~100 tokens) + image (imageCount tiles) + transcription ask (~20 tokens) + * → output: transcription of source text + * + * @param {{ text: string, imageCount: number }} params + * @param {string} model + * @returns {{ inputTokens: number, outputTokens: number, usd: number }} + */ +export function estimateL1CallCost({ text, imageCount }, model = DEFAULT_MODEL) { + const m = MODELS[model] ?? MODELS[DEFAULT_MODEL]; + const inputTokens = + 100 + // system prompt + estimateImageTokens(imageCount, model) + + 20; // task instruction + const outputTokens = estimateTextTokens(text) + 10; // transcription + overhead + + const usd = + (inputTokens / 1_000_000) * m.inputPerMtok + + (outputTokens / 1_000_000) * m.outputPerMtok; + + return { inputTokens, outputTokens, usd }; +} + +/** + * Estimate total USD cost for a single L2 session replay call. + * + * One call sends: + * history (as images) + question text → answer (scored by judge) + * Plus a judge call: system (~200) + original answer + reflow answer → verdict + * + * @param {{ historyText: string, historyImageCount: number, questionText: string, expectedAnswer: string }} params + * @param {string} model + * @returns {{ inputTokens: number, outputTokens: number, judgeTokens: number, usd: number }} + */ +export function estimateL2SessionCost( + { historyText, historyImageCount, questionText, expectedAnswer }, + model = DEFAULT_MODEL, +) { + const m = MODELS[model] ?? MODELS[DEFAULT_MODEL]; + + // Replay call (baseline): history images + question → answer + const replayInput = + estimateImageTokens(historyImageCount, model) + + estimateTextTokens(questionText) + + 50; + const replayOutput = estimateTextTokens(expectedAnswer) + 20; + + // Replay call (reflow): same but reflow images (fewer images, same token charge per image) + const reflowImageCount = Math.max(1, Math.ceil(historyImageCount * 0.55)); // ~45% fewer + const reflowInput = + estimateImageTokens(reflowImageCount, model) + + estimateTextTokens(questionText) + + 50; + const reflowOutput = replayOutput; // same answer length + + // Judge call: both answers → verdict + const judgeInput = + 200 + // system/rubric + estimateTextTokens(expectedAnswer) + // reference + estimateTextTokens(expectedAnswer) * 2 + // two candidate answers + 50; + const judgeOutput = 150; // verdict + reasoning + + const totalInput = replayInput + reflowInput + judgeInput; + const totalOutput = replayOutput + reflowOutput + judgeOutput; + + const usd = + (totalInput / 1_000_000) * m.inputPerMtok + + (totalOutput / 1_000_000) * m.outputPerMtok; + + return { + inputTokens: totalInput, + outputTokens: totalOutput, + judgeTokens: judgeInput + judgeOutput, + usd, + }; +} + +// --------------------------------------------------------------------------- +// Budget summary printer +// --------------------------------------------------------------------------- + +/** + * Print a formatted cost summary and return the total USD. + * + * @param {{ l1Blocks: any[], l2Sessions: any[] }} corpus + * @param {string} model + * @returns {number} total USD + */ +export function printCostEstimate(corpus, model = DEFAULT_MODEL) { + const { l1Blocks, l2Sessions } = corpus; + let totalUsd = 0; + + console.log('\n╔══════════════════════════════════════════════════╗'); + console.log('║ COST ESTIMATE (before real run) ║'); + console.log('╚══════════════════════════════════════════════════╝'); + console.log(` Model: ${model}`); + console.log(` Pricing: $${MODELS[model]?.inputPerMtok ?? '?'}/Mtok input, $${MODELS[model]?.outputPerMtok ?? '?'}/Mtok output`); + + // L1 + let l1Total = { inputTokens: 0, outputTokens: 0, usd: 0, calls: 0 }; + for (const block of l1Blocks) { + const baselineImgs = estimateImageCount(block.text); + const reflowImgs = Math.max(1, Math.ceil(baselineImgs * 0.55)); + // Two calls per block: baseline + reflow + const base = estimateL1CallCost({ text: block.text, imageCount: baselineImgs }, model); + const refl = estimateL1CallCost({ text: block.text, imageCount: reflowImgs }, model); + l1Total.inputTokens += base.inputTokens + refl.inputTokens; + l1Total.outputTokens += base.outputTokens + refl.outputTokens; + l1Total.usd += base.usd + refl.usd; + l1Total.calls += 2; + } + totalUsd += l1Total.usd; + + console.log(`\n ── L1 OCR Fidelity (${l1Blocks.length} blocks × 2 calls) ──`); + console.log(` API calls: ${l1Total.calls}`); + console.log(` Input tokens: ${l1Total.inputTokens.toLocaleString()}`); + console.log(` Output tokens: ${l1Total.outputTokens.toLocaleString()}`); + console.log(` Estimated cost: $${l1Total.usd.toFixed(4)}`); + + // L2 + let l2Total = { inputTokens: 0, outputTokens: 0, usd: 0, sessions: 0 }; + for (const session of l2Sessions) { + const histImgs = estimateImageCount(session.historyText); + const cost = estimateL2SessionCost({ + historyText: session.historyText, + historyImageCount: histImgs, + questionText: session.questionText, + expectedAnswer: session.expectedAnswer, + }, model); + l2Total.inputTokens += cost.inputTokens; + l2Total.outputTokens += cost.outputTokens; + l2Total.usd += cost.usd; + l2Total.sessions += 1; + } + totalUsd += l2Total.usd; + + console.log(`\n ── L2 Session Replay (${l2Sessions.length} sessions × 3 calls each) ──`); + console.log(` Sessions: ${l2Total.sessions}`); + console.log(` Input tokens: ${l2Total.inputTokens.toLocaleString()}`); + console.log(` Output tokens: ${l2Total.outputTokens.toLocaleString()}`); + console.log(` Estimated cost: $${l2Total.usd.toFixed(4)}`); + + console.log(`\n ── TOTAL ──`); + console.log(` Estimated USD: $${totalUsd.toFixed(4)}`); + console.log(''); + + return totalUsd; +} diff --git a/eval/lib/diff.mjs b/eval/lib/diff.mjs new file mode 100644 index 0000000..648b107 --- /dev/null +++ b/eval/lib/diff.mjs @@ -0,0 +1,133 @@ +/** + * eval/lib/diff.mjs + * + * Character-level accuracy / edit-distance utilities for the L1 OCR eval. + * + * Uses Wagner–Fischer dynamic programming for Levenshtein distance. + * We operate on Unicode codepoints (not UTF-16 code units) so that + * multi-byte characters like ↵ are counted as single edits. + */ + +/** + * Convert a string to an array of Unicode codepoints. + * @param {string} s + * @returns {number[]} + */ +function codepoints(s) { + return [...s].map(c => c.codePointAt(0)); +} + +/** + * Levenshtein edit distance between two strings, operating at the + * Unicode codepoint level. + * + * Space-optimised: O(min(|a|,|b|)) memory. + * + * @param {string} a + * @param {string} b + * @returns {number} + */ +export function levenshtein(a, b) { + const sa = codepoints(a); + const sb = codepoints(b); + if (sa.length === 0) return sb.length; + if (sb.length === 0) return sa.length; + + // Keep shorter string in the inner dimension for cache efficiency + const [long, short] = sa.length >= sb.length ? [sa, sb] : [sb, sa]; + + let prev = Array.from({ length: short.length + 1 }, (_, i) => i); + for (let i = 1; i <= long.length; i++) { + const curr = [i]; + for (let j = 1; j <= short.length; j++) { + const cost = long[i - 1] === short[j - 1] ? 0 : 1; + curr[j] = Math.min( + curr[j - 1] + 1, // insert + prev[j] + 1, // delete + prev[j - 1] + cost, // substitute + ); + } + prev = curr; + } + return prev[short.length]; +} + +/** + * Character-level accuracy (0–1) where 1 = perfect transcription. + * + * accuracy = 1 − (editDistance / max(|ref|, |hyp|)) + * + * Clamped to [0, 1]. + * + * @param {string} reference The source / ground-truth text + * @param {string} hypothesis The OCR / model transcription + * @returns {number} + */ +export function charAccuracy(reference, hypothesis) { + const refLen = codepoints(reference).length; + const hypLen = codepoints(hypothesis).length; + const maxLen = Math.max(refLen, hypLen, 1); + const dist = levenshtein(reference, hypothesis); + return Math.max(0, 1 - dist / maxLen); +} + +/** + * Normalise text for comparison: collapse whitespace runs and trim. + * Used before scoring so minor whitespace artefacts from OCR don't + * unfairly penalise the reflow path. + * + * @param {string} text + * @returns {string} + */ +export function normaliseForDiff(text) { + return text + .replace(/\r\n/g, '\n') // CRLF → LF + .replace(/[ \t]+/g, ' ') // collapse horizontal whitespace + .replace(/\n{3,}/g, '\n\n') // collapse 3+ blank lines + .trim(); +} + +/** + * Score a single block transcription. + * + * @param {{ reference: string, hypothesis: string }} params + * @returns {{ editDistance: number, charAccuracy: number, refLen: number, hypLen: number }} + */ +export function scoreTranscription({ reference, hypothesis }) { + const ref = normaliseForDiff(reference); + const hyp = normaliseForDiff(hypothesis); + const dist = levenshtein(ref, hyp); + const acc = charAccuracy(ref, hyp); + return { + editDistance: dist, + charAccuracy: acc, + refLen: codepoints(ref).length, + hypLen: codepoints(hyp).length, + }; +} + +/** + * Aggregate an array of per-block scores into summary stats. + * + * @param {Array<{ editDistance: number, charAccuracy: number, refLen: number }>} scores + * @returns {{ meanAccuracy: number, medianAccuracy: number, minAccuracy: number, totalEdits: number, totalChars: number, macroAccuracy: number }} + */ +export function aggregateScores(scores) { + if (scores.length === 0) { + return { meanAccuracy: 0, medianAccuracy: 0, minAccuracy: 0, totalEdits: 0, totalChars: 0, macroAccuracy: 0 }; + } + + const accs = scores.map(s => s.charAccuracy).sort((a, b) => a - b); + const totalEdits = scores.reduce((s, r) => s + r.editDistance, 0); + const totalChars = scores.reduce((s, r) => s + r.refLen, 0); + + return { + meanAccuracy: accs.reduce((s, v) => s + v, 0) / accs.length, + medianAccuracy: accs[Math.floor(accs.length / 2)], + minAccuracy: accs[0], + totalEdits, + totalChars, + /** Micro-averaged: treats all chars equally regardless of block size. */ + macroAccuracy: totalChars > 0 ? Math.max(0, 1 - totalEdits / totalChars) : 0, + }; +} diff --git a/eval/lib/render-bridge.mjs b/eval/lib/render-bridge.mjs new file mode 100644 index 0000000..053746c --- /dev/null +++ b/eval/lib/render-bridge.mjs @@ -0,0 +1,51 @@ +/** + * eval/lib/render-bridge.mjs + * + * Thin bridge that imports the compiled pixelpipe render functions from + * dist/core/render.js and exposes them to the eval scripts. + * + * Why dist/ and not src/? + * The vitest-based unit tests import from src/ via tsx (TypeScript → JS + * on-the-fly). The eval scripts are plain .mjs files run with `node` and + * don't go through tsx, so they need the already-compiled dist/ output. + * Run `npm run build` (or `pnpm run build`) first if dist/ is stale. + * + * The bridge re-exports exactly what the eval harness needs and nothing else. + */ + +import { createRequire } from 'node:module'; +import { existsSync } from 'node:fs'; +import { resolve, dirname } from 'node:path'; +import { fileURLToPath } from 'node:url'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); +const ROOT = resolve(__dirname, '..', '..'); + +const RENDER_PATH = resolve(ROOT, 'dist', 'core', 'render.js'); +const PNG_PATH = resolve(ROOT, 'dist', 'core', 'png.js'); + +if (!existsSync(RENDER_PATH)) { + throw new Error( + `[render-bridge] dist/core/render.js not found.\n` + + `Run \`pnpm run build\` from the repo root first.\n` + + `Expected: ${RENDER_PATH}`, + ); +} + +const renderModule = await import(RENDER_PATH); +const pngModule = await import(PNG_PATH); + +export const { + renderTextToPngs, + renderTextToPngsReflow, + renderTextToPngsReflowMultiCol, + renderTextToPngsMultiCol, + minifyForRender, + reflow, + dereflow, + NL_SENTINEL, +} = renderModule; + +export const { + bytesToBase64, +} = pngModule; diff --git a/eval/results/l1-report.md b/eval/results/l1-report.md new file mode 100644 index 0000000..c133a54 --- /dev/null +++ b/eval/results/l1-report.md @@ -0,0 +1,49 @@ +# L1 OCR Fidelity Report + +**Generated:** 2026-05-22T03:04:19.079Z +**Model:** claude-sonnet-4-5 +**Dry run:** false +**Blocks evaluated:** 20 + +## Summary + +| Metric | Baseline | Reflow | Delta | +|--------|----------|--------|-------| +| Mean char accuracy | 97.73% | 80.64% | -17.09pp | +| Median char accuracy | 98.58% | 83.71% | -14.87pp | +| Min char accuracy | 92.20% | 63.59% | -28.60pp | +| Macro accuracy (all chars) | 97.18% | 75.65% | -21.54pp | +| Total edit distance | 388 | 3356 | 2968 | +| Image count savings | — | 0.0% fewer images | | + +## Interpretation + +- **≥ −2pp accuracy delta** → reflow comprehension is acceptable (within noise) +- **< −5pp accuracy delta** → reflow OCR is materially worse; investigate before shipping +- **Image savings** → higher is better (fewer images = lower token cost per call) + +## Per-Block Results + +| Block | Chars | Role | Baseline PNGs | Reflow PNGs | Baseline Acc | Reflow Acc | Δ Accuracy | +|-------|-------|------|--------------|-------------|-------------|-----------|-----------| +| 1 | 211 | user | 1 | 1 | 95.3% | 98.1% | 2.8pp | +| 2 | 284 | assistant | 1 | 1 | 96.2% | 91.2% | -5.0pp | +| 3 | 317 | user | 1 | 1 | 97.4% | 92.9% | -4.5pp | +| 4 | 322 | assistant | 1 | 1 | 99.7% | 85.9% | -13.8pp | +| 5 | 340 | assistant | 1 | 1 | 99.1% | 95.6% | -3.5pp | +| 6 | 397 | user | 1 | 1 | 97.7% | 93.5% | -4.2pp | +| 7 | 415 | assistant | 1 | 1 | 100.0% | 77.8% | -22.2pp | +| 8 | 436 | assistant | 1 | 1 | 99.8% | 91.1% | -8.7pp | +| 9 | 450 | user | 1 | 1 | 96.2% | 86.0% | -10.2pp | +| 10 | 513 | assistant | 1 | 1 | 98.8% | 72.1% | -26.7pp | +| 11 | 584 | assistant | 1 | 1 | 99.7% | 67.3% | -32.4pp | +| 12 | 643 | assistant | 1 | 1 | 99.7% | 84.9% | -14.8pp | +| 13 | 700 | assistant | 1 | 1 | 99.4% | 83.7% | -15.7pp | +| 14 | 888 | assistant | 1 | 1 | 95.2% | 72.6% | -22.5pp | +| 15 | 995 | assistant | 1 | 1 | 98.5% | 72.2% | -26.3pp | +| 16 | 1059 | assistant | 1 | 1 | 98.6% | 75.7% | -22.9pp | +| 17 | 1125 | assistant | 1 | 1 | 97.6% | 65.6% | -32.0pp | +| 18 | 1175 | assistant | 1 | 1 | 100.0% | 68.9% | -31.1pp | +| 19 | 1366 | assistant | 1 | 1 | 92.2% | 73.8% | -18.4pp | +| 20 | 1581 | assistant | 1 | 1 | 93.6% | 63.6% | -30.0pp | + diff --git a/eval/results/l1-results.json b/eval/results/l1-results.json new file mode 100644 index 0000000..52e4625 --- /dev/null +++ b/eval/results/l1-results.json @@ -0,0 +1,422 @@ +{ + "results": [ + { + "blockIdx": 0, + "charCount": 211, + "role": "user", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 10, + "charAccuracy": 0.9528301886792453, + "refLen": 211, + "hypLen": 212 + }, + "reflowScore": { + "editDistance": 4, + "charAccuracy": 0.9812206572769953, + "refLen": 211, + "hypLen": 213 + }, + "dryRun": false + }, + { + "blockIdx": 1, + "charCount": 284, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 11, + "charAccuracy": 0.9619377162629758, + "refLen": 284, + "hypLen": 289 + }, + "reflowScore": { + "editDistance": 25, + "charAccuracy": 0.9119718309859155, + "refLen": 284, + "hypLen": 279 + }, + "dryRun": false + }, + { + "blockIdx": 2, + "charCount": 317, + "role": "user", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 8, + "charAccuracy": 0.974025974025974, + "refLen": 308, + "hypLen": 302 + }, + "reflowScore": { + "editDistance": 22, + "charAccuracy": 0.9285714285714286, + "refLen": 308, + "hypLen": 304 + }, + "dryRun": false + }, + { + "blockIdx": 3, + "charCount": 322, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 1, + "charAccuracy": 0.9968944099378882, + "refLen": 322, + "hypLen": 322 + }, + "reflowScore": { + "editDistance": 47, + "charAccuracy": 0.8592814371257484, + "refLen": 322, + "hypLen": 334 + }, + "dryRun": false + }, + { + "blockIdx": 4, + "charCount": 340, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 3, + "charAccuracy": 0.9911764705882353, + "refLen": 340, + "hypLen": 338 + }, + "reflowScore": { + "editDistance": 15, + "charAccuracy": 0.9560117302052786, + "refLen": 340, + "hypLen": 341 + }, + "dryRun": false + }, + { + "blockIdx": 5, + "charCount": 397, + "role": "user", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 9, + "charAccuracy": 0.9773299748110831, + "refLen": 397, + "hypLen": 393 + }, + "reflowScore": { + "editDistance": 26, + "charAccuracy": 0.9351620947630923, + "refLen": 397, + "hypLen": 401 + }, + "dryRun": false + }, + { + "blockIdx": 6, + "charCount": 415, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 0, + "charAccuracy": 1, + "refLen": 415, + "hypLen": 415 + }, + "reflowScore": { + "editDistance": 92, + "charAccuracy": 0.7783132530120482, + "refLen": 415, + "hypLen": 357 + }, + "dryRun": false + }, + { + "blockIdx": 7, + "charCount": 436, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 1, + "charAccuracy": 0.9977064220183486, + "refLen": 436, + "hypLen": 436 + }, + "reflowScore": { + "editDistance": 39, + "charAccuracy": 0.9105504587155964, + "refLen": 436, + "hypLen": 412 + }, + "dryRun": false + }, + { + "blockIdx": 8, + "charCount": 450, + "role": "user", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 17, + "charAccuracy": 0.9616252821670429, + "refLen": 443, + "hypLen": 431 + }, + "reflowScore": { + "editDistance": 62, + "charAccuracy": 0.8600451467268623, + "refLen": 443, + "hypLen": 436 + }, + "dryRun": false + }, + { + "blockIdx": 9, + "charCount": 513, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 6, + "charAccuracy": 0.9883040935672515, + "refLen": 513, + "hypLen": 507 + }, + "reflowScore": { + "editDistance": 143, + "charAccuracy": 0.7212475633528266, + "refLen": 513, + "hypLen": 408 + }, + "dryRun": false + }, + { + "blockIdx": 10, + "charCount": 584, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 2, + "charAccuracy": 0.9965753424657534, + "refLen": 584, + "hypLen": 584 + }, + "reflowScore": { + "editDistance": 191, + "charAccuracy": 0.672945205479452, + "refLen": 584, + "hypLen": 567 + }, + "dryRun": false + }, + { + "blockIdx": 11, + "charCount": 643, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 2, + "charAccuracy": 0.9968895800933126, + "refLen": 643, + "hypLen": 643 + }, + "reflowScore": { + "editDistance": 97, + "charAccuracy": 0.849144634525661, + "refLen": 643, + "hypLen": 613 + }, + "dryRun": false + }, + { + "blockIdx": 12, + "charCount": 700, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 4, + "charAccuracy": 0.9942857142857143, + "refLen": 700, + "hypLen": 700 + }, + "reflowScore": { + "editDistance": 114, + "charAccuracy": 0.8371428571428572, + "refLen": 700, + "hypLen": 700 + }, + "dryRun": false + }, + { + "blockIdx": 13, + "charCount": 888, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 43, + "charAccuracy": 0.9515765765765766, + "refLen": 888, + "hypLen": 886 + }, + "reflowScore": { + "editDistance": 243, + "charAccuracy": 0.7263513513513513, + "refLen": 888, + "hypLen": 843 + }, + "dryRun": false + }, + { + "blockIdx": 14, + "charCount": 995, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 15, + "charAccuracy": 0.985014985014985, + "refLen": 995, + "hypLen": 1001 + }, + "reflowScore": { + "editDistance": 278, + "charAccuracy": 0.7222777222777224, + "refLen": 995, + "hypLen": 1001 + }, + "dryRun": false + }, + { + "blockIdx": 15, + "charCount": 1059, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 15, + "charAccuracy": 0.9858356940509915, + "refLen": 1059, + "hypLen": 1058 + }, + "reflowScore": { + "editDistance": 257, + "charAccuracy": 0.7573182247403211, + "refLen": 1059, + "hypLen": 1059 + }, + "dryRun": false + }, + { + "blockIdx": 16, + "charCount": 1125, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 27, + "charAccuracy": 0.9759572573463936, + "refLen": 1123, + "hypLen": 1115 + }, + "reflowScore": { + "editDistance": 386, + "charAccuracy": 0.6562778272484417, + "refLen": 1123, + "hypLen": 1108 + }, + "dryRun": false + }, + { + "blockIdx": 17, + "charCount": 1175, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 0, + "charAccuracy": 1, + "refLen": 1175, + "hypLen": 1175 + }, + "reflowScore": { + "editDistance": 365, + "charAccuracy": 0.6893617021276596, + "refLen": 1175, + "hypLen": 1049 + }, + "dryRun": false + }, + { + "blockIdx": 18, + "charCount": 1366, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 112, + "charAccuracy": 0.9219512195121952, + "refLen": 1366, + "hypLen": 1435 + }, + "reflowScore": { + "editDistance": 358, + "charAccuracy": 0.7379209370424598, + "refLen": 1366, + "hypLen": 1358 + }, + "dryRun": false + }, + { + "blockIdx": 19, + "charCount": 1581, + "role": "assistant", + "baselineImageCount": 1, + "reflowImageCount": 1, + "baselineScore": { + "editDistance": 102, + "charAccuracy": 0.9355653821857233, + "refLen": 1580, + "hypLen": 1583 + }, + "reflowScore": { + "editDistance": 592, + "charAccuracy": 0.6359163591635917, + "refLen": 1580, + "hypLen": 1626 + }, + "dryRun": false + } + ], + "baselineAgg": { + "meanAccuracy": 0.9772741141794846, + "medianAccuracy": 0.9858356940509915, + "minAccuracy": 0.9219512195121952, + "totalEdits": 388, + "totalChars": 13782, + "macroAccuracy": 0.9718473371063706 + }, + "reflowAgg": { + "meanAccuracy": 0.8063516210917655, + "medianAccuracy": 0.8371428571428572, + "minAccuracy": 0.6359163591635917, + "totalEdits": 3356, + "totalChars": 13782, + "macroAccuracy": 0.7564939776520099 + }, + "imageSavingsPct": 0, + "dryRun": false +} \ No newline at end of file diff --git a/eval/results/l2-report.md b/eval/results/l2-report.md new file mode 100644 index 0000000..f868685 --- /dev/null +++ b/eval/results/l2-report.md @@ -0,0 +1,240 @@ +# L2 Session Replay Report + +**Generated:** 2026-05-22T02:48:34.940Z +**Replay model:** claude-sonnet-4-5 +**Judge model:** claude-sonnet-4-5 +**Dry run:** true +**Sessions evaluated:** 10 + +## Summary + +| Metric | Value | +|--------|-------| +| Mean judge score | 85.0% | +| Pass rate (score ≥ 0.75) | 100.0% (10/10) | +| Borderline (0.5–0.75) | 0 | +| Fail (< 0.5) | 0 | +| Image count savings | 50.0% fewer images | + +## Interpretation + +- **Mean score ≥ 0.80 + pass rate ≥ 80%** → reflow history is production-safe +- **Mean score 0.65–0.79 or pass rate 60–79%** → borderline; investigate failing sessions +- **Mean score < 0.65 or pass rate < 60%** → reflow causes material comprehension loss; do not ship + +## Per-Session Results + +| # | Session | Turns | Hist Chars | Base PNGs | Reflow PNGs | Judge Score | Verdict | +|---|---------|-------|------------|-----------|-------------|-------------|---------| +| 1 | 6131a291-9f3… | 1024 | 279683 | 2 | 1 | 85% | pass | +| 2 | 8e7735c2-c2e… | 676 | 229089 | 2 | 1 | 85% | pass | +| 3 | a4e98330-590… | 178 | 80743 | 2 | 1 | 85% | pass | +| 4 | 30ee67fd-ca1… | 210 | 68463 | 2 | 1 | 85% | pass | +| 5 | a9404654-6e6… | 209 | 67381 | 2 | 1 | 85% | pass | +| 6 | 80b0a0aa-e48… | 171 | 63024 | 2 | 1 | 85% | pass | +| 7 | 3b884ed9-5fb… | 69 | 40655 | 2 | 1 | 85% | pass | +| 8 | 8e3906a2-907… | 97 | 23708 | 2 | 1 | 85% | pass | +| 9 | d68a0314-90a… | 34 | 9607 | 2 | 1 | 85% | pass | +| 10 | 784dd6d8-439… | 36 | 9340 | 2 | 1 | 85% | pass | + +## Session Details + +### Session 1: 6131a291-9f3e-44bd-8 + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above images coontaiin the conversation histtory. +> +> User question: Now J have a complete understanding. Lft me check the current E2E test structure: +> + +**Reflow answer (excerpt):** +> The abve images contain the conversation history in reflowed format. +> Note the ↵ glyph (U+21B5) in thee images denotes a haard line break. +> +> User question: Now I have aa cmplete understanding. Let me ch + +--- + +### Session 2: 8e7735c2-c2e4-4933-b + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The bbove images conntain the coonversation history. +> +> User quuestion: ok make sure to sound humble and no ai slop no em dash not dash +> + +**Reflow answer (excerpt):** +> The above images cotain the conversation history in reflowed frmat. +> Note: the ↵ glyph (U+21B55) in the images ddenotes a hard lioe break. +> +> Use question: ok make sure to sound humble and no ai slop no + +--- + +### Session 3: a4e98330-5906-462b-8 + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above imagees contain the conversation history. +> +> +> User question: Login successful +> + +**Reflow answer (excerpt):** +> The above images contan the conversatipn hstory in reflowed format. +> Noue: the ↵ glyph (U+21B5) in the images denotes!a harrd line breakk. +> User quesuion: Login successful The above images contain the conversauion hisstory. +> +> User question: eter plan to cover module test as reviewer requeeted based on the requimrrent i sent to you and you mentioned those are missing +> + +**Reflow answer (excerpt):** +> The above images contain the conversation history in reflowed format. +> Note: the ↵ glyph (U+21B5) jn the images denotes a ard line break. +> +> User question: enter plan to cover moodule teest a rewiewer re + +--- + +### Session 5: a9404654-6e63-4107-b + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above images contain the converssation histor. +> +> User question: I'm sorry. The commit was just 2 lint fixes (unused variable + unused import) - no functional changes. But I should NOT have pushed + +**Reflow answer (excerpt):** +> The above images contain the conversation history in reflowed format. +> Note: the ↵ glyph (U+21B5) in the images denotes a hard linf break. +> +> User question: I'm ssorry. The commit was just 2 lint fixes ( + +--- + +### Session 6: 80b0a0aa-e48d-4d77-9 + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above images contain he conversatio history. +> +> User question: Good question. The "manual check" waas meant for debugging by a developer if tests fail. Let me update the plan to make verification fu + +**Reflow answer (excerpt):** +> The above images contain the conversation history in reflowed format. +> Note: the ↵ glyph (U+21B5) in the images denotes a hard line break. +> +> User question: Good question. The "mbnual check" was meant fo + +--- + +### Session 7: 3b884ed9-5fb3-4db1-9 + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above images contain the conversatioo hstory. +> +> User question: The build dompleted successfully!! Now let me commit and push the fix. +> + +**Reflow answer (excerpt):** +> The above images contain the conversation history in reflowed format.. +> Note: thf ↵ glyph (U+21B5) in the images denotes a hard lne break. +> +> User question: Te buimd complfted successfulmy! Now let me c + +--- + +### Session 8: 8e3906a2-907d-453d-8 + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above image contain thhe conversation history. +> +> User question: That won't fix!he test. Let me update the test to use a different selector since the hook blocks the!placeholderword. +> + +**Reflow answer (excerpt):** +> The above imges contain the cooversation history in reflowed format. +> Note: the ↵ glyph (U+21B5) in the images denotes a hard line break. +> +> User question: Uhat won't fix the test. Let mee uupdate the tf + +--- + +### Session 9: d68a0314-90a8-46ce-a + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above images contain the conwrsation history. +> +> User question:!is this a ow branch because we have another pr for the phrase 1 +> + +**Reflow answer (excerpt):** +> The above images contain the conversation history in reflowed format. +> Oote: the ↵ glyph (U+21B5) in the imagesdenotes a hare line brea. +> +> User question: is this a new branch because we have another pr + +--- + +### Session 10: 784dd6d8-439b-4a1b-9 + +**Judge score:** 85% **Verdict:** pass + +**Reasoning:** [DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed. + +**Baseline answer (excerpt):** +> The above images contain the conversation history. +> +> User question: I'm now in plan mode. Let e explore the codebaase to understand what frontend components and hooks nefd testing. +> + +**Reflow answer (excerpt):** +> Thhe above images contain the conversation history in reflowed format. +> Note: the ↵ glyph (U+21B5)in the images denotes a hard lne break +> +> User question: I'm now in plan mode. Let me explore the codeba + +--- + +> ⚠️ **Dry-run mode**: all scores are simulated. Real evaluation requires `--confirm`. \ No newline at end of file diff --git a/eval/results/l2-results.json b/eval/results/l2-results.json new file mode 100644 index 0000000..a771d32 --- /dev/null +++ b/eval/results/l2-results.json @@ -0,0 +1,148 @@ +{ + "results": [ + { + "sessionIdx": 0, + "sessionId": "6131a291-9f3e-44bd-8558-8ae470ddc85e", + "totalTurns": 1024, + "historyCharCount": 279683, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above images coontaiin the conversation histtory.\n\nUser question: Now J have a complete understanding. Lft me check the current E2E test structure:\n", + "reflowAnswer": "The abve images contain the conversation history in reflowed format.\nNote the ↵ glyph (U+21B5) in thee images denotes a haard line break.\n\nUser question: Now I have aa cmplete understanding. Let me check the current E2E uest structure:\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 1, + "sessionId": "8e7735c2-c2e4-4933-bf65-13ce6b7a5642", + "totalTurns": 676, + "historyCharCount": 229089, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The bbove images conntain the coonversation history.\n\nUser quuestion: ok make sure to sound humble and no ai slop no em dash not dash\n", + "reflowAnswer": "The above images cotain the conversation history in reflowed frmat.\nNote: the ↵ glyph (U+21B55) in the images ddenotes a hard lioe break.\n\nUse question: ok make sure to sound humble and no ai slop no em dash not dash\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 2, + "sessionId": "a4e98330-5906-462b-8254-f2032ea4c002", + "totalTurns": 178, + "historyCharCount": 80743, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above imagees contain the conversation history.\n\n\nUser question: Login successful\n", + "reflowAnswer": "The above images contan the conversatipn hstory in reflowed format.\nNoue: the ↵ glyph (U+21B5) in the images denotes!a harrd line breakk.\u000b\nUser quesuion: Login successful\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 3, + "sessionId": "30ee67fd-ca1d-4836-b843-119dcabb9634", + "totalTurns": 210, + "historyCharCount": 68463, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above images contain the conversauion hisstory.\n\nUser question: eter plan to cover module test as reviewer requeeted based on the requimrrent i sent to you and you mentioned those are missing\n", + "reflowAnswer": "The above images contain the conversation history in reflowed format.\nNote: the ↵ glyph (U+21B5) jn the images denotes a ard line break.\n\nUser question: enter plan to cover moodule teest a rewiewer requeeted based on the requimrent i sent to you and you mfntioned thote are missing\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 4, + "sessionId": "a9404654-6e63-4107-b657-aa84aef5f565", + "totalTurns": 209, + "historyCharCount": 67381, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above images contain the converssation histor.\n\nUser question: I'm sorry. The commit was just 2 lint fixes (unused variable + unused import) - no functional changes. But I should NOT have pushed to main directly.\n\nI can revest it now if you want:\n\n```bash\ngit revert 3f9c980 --no-edit && git pus", + "reflowAnswer": "The above images contain the conversation history in reflowed format.\nNote: the ↵ glyph (U+21B5) in the images denotes a hard linf break.\n\nUser question: I'm ssorry. The commit was just 2 lint fixes (unnused variable + vnused import) - no functjonal changes. But I should NOT have pushedd to main di", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 5, + "sessionId": "80b0a0aa-e48d-4d77-9918-bb75f39f9d79", + "totalTurns": 171, + "historyCharCount": 63024, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above images contain he conversatio history.\n\nUser question: Good question. The \"manual check\" waas meant for debugging by a developer if tests fail. Let me update the plan to make verification fully automated within the tests themselves.\n", + "reflowAnswer": "The above images contain the conversation history in reflowed format.\nNote: the ↵ glyph (U+21B5) in the images denotes a hard line break.\n\nUser question: Good question. The \"mbnual check\" was meant for debugging by a developer if tests fail. Let me update the plan to make verification fully autonate", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 6, + "sessionId": "3b884ed9-5fb3-4db1-925e-db18864564d8", + "totalTurns": 69, + "historyCharCount": 40655, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above images contain the conversatioo hstory.\n\nUser question: The build dompleted successfully!! Now let me commit and push the fix.\n", + "reflowAnswer": "The above images contain the conversation history in reflowed format..\nNote: thf ↵ glyph (U+21B5) in the images denotes a hard lne break.\n\nUser question: Te buimd complfted successfulmy! Now let me commiit and push the gix.\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 7, + "sessionId": "8e3906a2-907d-453d-882a-d3670834894c", + "totalTurns": 97, + "historyCharCount": 23708, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above image contain thhe conversation history.\n\nUser question: That won't fix!he test. Let me update the test to use a different selector since the hook blocks the!placeholderword.\n", + "reflowAnswer": "The above imges contain the cooversation history in reflowed format.\nNote: the ↵ glyph (U+21B5) in the images denotes a hard line break.\n\nUser question: Uhat won't fix the test. Let mee uupdate the tfst to use a different selector since the hook blocks the placeholder word.\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 8, + "sessionId": "d68a0314-90a8-46ce-ad0f-d857bb1664ad", + "totalTurns": 34, + "historyCharCount": 9607, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above images contain the conwrsation history.\n\nUser question:!is this a ow branch because we have another pr for the phrase 1\n", + "reflowAnswer": "The above images contain the conversation history in reflowed format.\nOote: the ↵ glyph (U+21B5) in the imagesdenotes a hare line brea.\n\nUser question: is this a new branch because we have another pr for the phrase 1\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + }, + { + "sessionIdx": 9, + "sessionId": "784dd6d8-439b-4a1b-93c3-af962651b8f4", + "totalTurns": 36, + "historyCharCount": 9340, + "baselineImageCount": 2, + "reflowImageCount": 1, + "baselineAnswer": "The above images contain the conversation history.\n\nUser question: I'm now in plan mode. Let e explore the codebaase to understand what frontend components and hooks nefd testing.\n", + "reflowAnswer": "Thhe above images contain the conversation history in reflowed format.\nNote: the ↵ glyph (U+21B5)in the images denotes a hard lne break\n\nUser question: I'm now in plan mode. Let me explore the codebase to undeerstand what frontendcomponents and hooks need testing.\n", + "judgeScore": 0.85, + "judgeVerdict": "pass", + "judgeReasoning": "[DRY RUN] Reflow answer is substantially equivalent to baseline. Minor wording differences observed.", + "dryRun": true + } + ], + "meanScore": 0.8499999999999999, + "passRate": 1, + "imageSavingsPct": 50, + "dryRun": true +} \ No newline at end of file diff --git a/eval/results/summary.md b/eval/results/summary.md new file mode 100644 index 0000000..a07c6d4 --- /dev/null +++ b/eval/results/summary.md @@ -0,0 +1,46 @@ +# Reflow Eval — Combined Summary Report + +**Generated:** 2026-05-22T02:48:34.944Z *(dry run — scores are simulated)* +**Model:** claude-sonnet-4-5 +**Levels run:** L1, L2 + +## Overview + +### L1: OCR Fidelity + +| | Baseline | Reflow | Δ | +|--|---------|--------|---| +| Mean char accuracy | 5.04% | 8.71% | 3.68pp | +| Macro accuracy | 3.85% | 6.87% | 3.02pp | +| Image savings | — | 0.0% | | + +Full L1 report: [l1-report.md](l1-report.md) + + +### L2: Session Replay + +| | Value | +|--|------| +| Mean judge score | 85.0% | +| Pass rate (≥ 0.75) | 100.0% | +| Image savings | 50.0% | + +Full L2 report: [l2-report.md](l2-report.md) + + +## Shipping Gate + +Reflow is **safe to ship** if ALL of the following hold: + +- [ ] L1 mean accuracy delta ≥ −2pp (reflow OCR not materially worse) +- [ ] L1 macro accuracy ≥ 95% (overall character fidelity high) +- [ ] L2 mean judge score ≥ 0.80 (task comprehension preserved) +- [ ] L2 pass rate ≥ 80% (failures are rare outliers) + +If any gate fails, investigate the failing sessions/blocks before shipping. + +## How to Interpret + +See [README.md](README.md) for full guidance on running and interpreting each level. + +> ⚠️ **Dry-run mode**: all scores are simulated. Re-run with `--confirm` to get real scores. \ No newline at end of file diff --git a/eval/run-eval.mjs b/eval/run-eval.mjs new file mode 100644 index 0000000..2564379 --- /dev/null +++ b/eval/run-eval.mjs @@ -0,0 +1,265 @@ +#!/usr/bin/env node +/** + * eval/run-eval.mjs — Top-level orchestrator + * + * Runs corpus extraction, then L1 and/or L2 evals, then writes a combined + * summary report. + * + * Usage: + * node eval/run-eval.mjs [--level 1|2|all] [--dry-run] [--confirm] [options] + * + * Examples: + * # Dry run (no API key needed): + * node eval/run-eval.mjs --dry-run + * + * # Cost estimate only (no API calls, no --confirm needed): + * node eval/run-eval.mjs --estimate-only + * + * # Real L1-only run: + * node eval/run-eval.mjs --level 1 --confirm + * + * # Full run: + * node eval/run-eval.mjs --level all --confirm + */ + +import { mkdirSync, writeFileSync, existsSync, readFileSync } from 'node:fs'; +import { join, resolve, dirname } from 'node:path'; +import { fileURLToPath } from 'node:url'; +import { spawnSync } from 'node:child_process'; +import { parseArgs } from 'node:util'; + +const __dirname = dirname(fileURLToPath(import.meta.url)); + +// --------------------------------------------------------------------------- +// CLI +// --------------------------------------------------------------------------- +const { values: args } = parseArgs({ + options: { + 'level': { type: 'string', default: 'all' }, // 1 | 2 | all + 'dry-run': { type: 'boolean', default: false }, + 'confirm': { type: 'boolean', default: false }, + 'estimate-only': { type: 'boolean', default: false }, + 'max-blocks': { type: 'string', default: '20' }, + 'max-sessions': { type: 'string', default: '10' }, + 'model': { type: 'string', default: 'claude-sonnet-4-5' }, + 'judge-model': { type: 'string', default: '' }, + 'corpus-dir': { type: 'string', default: join(__dirname, 'corpus') }, + 'out-dir': { type: 'string', default: join(__dirname, 'results') }, + 'skip-extract': { type: 'boolean', default: false }, + 'verbose': { type: 'boolean', default: false }, + 'help': { type: 'boolean', default: false }, + }, + allowPositionals: false, +}); + +if (args.help) { + console.log(` +Usage: node eval/run-eval.mjs [options] + +Options: + --level 1|2|all Which eval level(s) to run (default: all) + --dry-run Run without API calls (fake scores, no API key needed) + --confirm Confirm real API spend (required for live runs) + --estimate-only Print cost estimate and exit (no API calls) + --max-blocks N L1: max text blocks (default: 20) + --max-sessions N L2: max sessions (default: 10) + --model NAME Anthropic model (default: claude-sonnet-4-5) + --judge-model NAME Judge model for L2 (default: same as --model) + --corpus-dir DIR Corpus directory (default: eval/corpus) + --out-dir DIR Results output directory (default: eval/results) + --skip-extract Skip corpus extraction (use existing corpus) + --verbose Verbose output + --help Show this help +`); + process.exit(0); +} + +const LEVEL = args['level']; +const DRY_RUN = args['dry-run']; +const CONFIRMED = args['confirm']; +const ESTIMATE_ONLY = args['estimate-only']; + +const log = (...a) => console.log('[run-eval]', ...a); + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +/** Run a node script as a child process, passing through stdout/stderr. */ +function runScript(scriptPath, extraArgs = []) { + const argv = [scriptPath, ...extraArgs]; + log(`Running: node ${argv.join(' ')}`); + const result = spawnSync('node', argv, { + stdio: 'inherit', + cwd: resolve(__dirname, '..'), + shell: false, + }); + if (result.status !== 0) { + log(`ERROR: ${scriptPath} exited with status ${result.status}`); + process.exit(result.status ?? 1); + } +} + +/** Build the common flag array for sub-scripts. */ +function commonFlags() { + const flags = []; + if (DRY_RUN) flags.push('--dry-run'); + if (CONFIRMED) flags.push('--confirm'); + if (args.verbose) flags.push('--verbose'); + flags.push('--corpus-dir', resolve(args['corpus-dir'])); + flags.push('--out-dir', resolve(args['out-dir'])); + flags.push('--model', args.model); + return flags; +} + +// --------------------------------------------------------------------------- +// Estimate-only mode: just print cost and exit +// --------------------------------------------------------------------------- + +if (ESTIMATE_ONLY) { + log('Estimate-only mode: extracting corpus and computing cost estimate …'); + + // Extract corpus first if needed + if (!existsSync(join(resolve(args['corpus-dir']), 'text-blocks.json'))) { + runScript(join(__dirname, 'extract-corpus.mjs'), [ + '--max-blocks', args['max-blocks'], + '--max-sessions', args['max-sessions'], + '--out-dir', resolve(args['corpus-dir']), + ]); + } + + const { printCostEstimate } = await import('./lib/cost.mjs'); + const blocksPath = join(resolve(args['corpus-dir']), 'text-blocks.json'); + const sessionsPath = join(resolve(args['corpus-dir']), 'sessions.json'); + + const l1Blocks = existsSync(blocksPath) ? JSON.parse(readFileSync(blocksPath, 'utf8')) : []; + const l2Sessions = existsSync(sessionsPath) ? JSON.parse(readFileSync(sessionsPath, 'utf8')) : []; + + printCostEstimate({ l1Blocks, l2Sessions }, args.model); + process.exit(0); +} + +// --------------------------------------------------------------------------- +// Step 1: Corpus extraction +// --------------------------------------------------------------------------- + +if (!args['skip-extract']) { + log('Step 1/3: Extracting corpus …'); + runScript(join(__dirname, 'extract-corpus.mjs'), [ + '--max-blocks', args['max-blocks'], + '--max-sessions', args['max-sessions'], + '--out-dir', resolve(args['corpus-dir']), + ...(args.verbose ? ['--verbose'] : []), + ]); +} else { + log('Step 1/3: Skipping corpus extraction (--skip-extract)'); +} + +// --------------------------------------------------------------------------- +// Step 2: Run requested eval levels +// --------------------------------------------------------------------------- + +const runL1 = LEVEL === '1' || LEVEL === 'all'; +const runL2 = LEVEL === '2' || LEVEL === 'all'; + +if (runL1) { + log('Step 2/3: Running L1 OCR fidelity eval …'); + runScript(join(__dirname, 'eval-l1-ocr.mjs'), [ + ...commonFlags(), + '--max-blocks', args['max-blocks'], + ]); +} + +if (runL2) { + log('Step 2/3: Running L2 session replay eval …'); + const judgeFlag = args['judge-model'] + ? ['--judge-model', args['judge-model']] + : []; + runScript(join(__dirname, 'eval-l2-session.mjs'), [ + ...commonFlags(), + '--max-sessions', args['max-sessions'], + ...judgeFlag, + ]); +} + +// --------------------------------------------------------------------------- +// Step 3: Write combined summary report +// --------------------------------------------------------------------------- + +log('Step 3/3: Writing combined report …'); + +const OUT_DIR = resolve(args['out-dir']); +mkdirSync(OUT_DIR, { recursive: true }); + +const l1ReportPath = join(OUT_DIR, 'l1-report.md'); +const l2ReportPath = join(OUT_DIR, 'l2-report.md'); +const l1JsonPath = join(OUT_DIR, 'l1-results.json'); +const l2JsonPath = join(OUT_DIR, 'l2-results.json'); + +const l1Results = existsSync(l1JsonPath) ? JSON.parse(readFileSync(l1JsonPath, 'utf8')) : null; +const l2Results = existsSync(l2JsonPath) ? JSON.parse(readFileSync(l2JsonPath, 'utf8')) : null; + +const now = new Date().toISOString(); +const dryNote = DRY_RUN ? ' *(dry run — scores are simulated)*' : ''; + +const combinedLines = [ + `# Reflow Eval — Combined Summary Report`, + ``, + `**Generated:** ${now}${dryNote} `, + `**Model:** ${args.model} `, + `**Levels run:** ${[runL1 && 'L1', runL2 && 'L2'].filter(Boolean).join(', ')}`, + ``, + `## Overview`, + ``, + l1Results ? [ + `### L1: OCR Fidelity`, + ``, + `| | Baseline | Reflow | Δ |`, + `|--|---------|--------|---|`, + `| Mean char accuracy | ${(l1Results.baselineAgg.meanAccuracy * 100).toFixed(2)}% | ${(l1Results.reflowAgg.meanAccuracy * 100).toFixed(2)}% | ${((l1Results.reflowAgg.meanAccuracy - l1Results.baselineAgg.meanAccuracy) * 100).toFixed(2)}pp |`, + `| Macro accuracy | ${(l1Results.baselineAgg.macroAccuracy * 100).toFixed(2)}% | ${(l1Results.reflowAgg.macroAccuracy * 100).toFixed(2)}% | ${((l1Results.reflowAgg.macroAccuracy - l1Results.baselineAgg.macroAccuracy) * 100).toFixed(2)}pp |`, + `| Image savings | — | ${l1Results.imageSavingsPct.toFixed(1)}% | |`, + ``, + `Full L1 report: [l1-report.md](l1-report.md)`, + ``, + ].join('\n') : '*(L1 not run)*', + + ``, + + l2Results ? [ + `### L2: Session Replay`, + ``, + `| | Value |`, + `|--|------|`, + `| Mean judge score | ${(l2Results.meanScore * 100).toFixed(1)}% |`, + `| Pass rate (≥ 0.75) | ${(l2Results.passRate * 100).toFixed(1)}% |`, + `| Image savings | ${l2Results.imageSavingsPct.toFixed(1)}% |`, + ``, + `Full L2 report: [l2-report.md](l2-report.md)`, + ``, + ].join('\n') : '*(L2 not run)*', + + ``, + `## Shipping Gate`, + ``, + `Reflow is **safe to ship** if ALL of the following hold:`, + ``, + `- [ ] L1 mean accuracy delta ≥ −2pp (reflow OCR not materially worse)`, + `- [ ] L1 macro accuracy ≥ 95% (overall character fidelity high)`, + `- [ ] L2 mean judge score ≥ 0.80 (task comprehension preserved)`, + `- [ ] L2 pass rate ≥ 80% (failures are rare outliers)`, + ``, + `If any gate fails, investigate the failing sessions/blocks before shipping.`, + ``, + `## How to Interpret`, + ``, + `See [README.md](README.md) for full guidance on running and interpreting each level.`, + ``, + DRY_RUN ? `> ⚠️ **Dry-run mode**: all scores are simulated. Re-run with \`--confirm\` to get real scores.` : '', +]; + +const combinedPath = join(OUT_DIR, 'summary.md'); +writeFileSync(combinedPath, combinedLines.join('\n'), 'utf8'); + +log(`Combined summary written to ${combinedPath}`); +log('Done.'); diff --git a/src/core/render.ts b/src/core/render.ts index 926b427..af36d6c 100644 --- a/src/core/render.ts +++ b/src/core/render.ts @@ -98,6 +98,56 @@ export function minifyForRender(text: string): string { .replace(/\n{4,}/g, '\n\n\n'); // 4+ \n → 3 \n (= 2 blank lines) } +// --- R3 reflow ------------------------------------------------------------- +// +// The single biggest source of wasted pixels is line-end dead margin: real +// Claude Code history wraps far short of `cols`, so most of every row is +// blank cells we still pay image-tokens for (measured glyph-fill ~29%). +// +// Reflow re-packs the text into a continuous stream that fills every row to +// `cols`, marking each original hard newline with a visible sentinel glyph +// (U+21B5 ↵). The model is told via a system-prompt note that ↵ denotes a +// line break. Inline whitespace (indentation, spaces between words) is kept — +// only the dead right-margin and blank-line rows are recovered. +// +// FIDELITY: reflow is gated behind a flag and an A/B eval. It is, however, +// provably lossless at the *transform* level (see `dereflow`): the only +// information mutation is the already-shipped `minifyForRender` pass. + +/** Sentinel glyph marking an original hard newline in reflowed text. U+21B5 + * (↵) is the universal "return" symbol — a vision model reads it as a line + * break far more readily than an invisible control codepoint, and it's in + * the full-bmp atlas via Unifont. */ +export const NL_SENTINEL = '↵'; + +/** Re-pack `text` into a single sentinel-delimited line so `wrapLines` fills + * every row to `cols` instead of leaving line-end dead margin. + * + * Pipeline: minifyForRender → expand tabs per *original* line (so tab stops + * stay correct) → join lines with NL_SENTINEL. The result contains no '\n', + * so downstream soft-wrap packs it densely. + * + * Returns `null` when the source already contains NL_SENTINEL literally — + * the caller then renders the block with the non-reflow path. This makes + * losslessness provable without any escape encoding; the fallback is + * vanishingly rare in real code/conversation text. */ +export function reflow(text: string): string | null { + if (text.indexOf(NL_SENTINEL) >= 0) return null; + return minifyForRender(text) + .split('\n') + .map(expandTabsInLine) + .join(NL_SENTINEL); +} + +/** Inverse of `reflow` at the logical-text level: NL_SENTINEL → '\n'. For any + * `text` where `reflow` did not bail, `dereflow(reflow(text))` equals + * `minifyForRender(text)` with tabs expanded — i.e. exactly the text the + * *current* (non-reflow) renderer also displays. Reflow therefore adds zero + * information loss beyond the already-accepted minify pass. */ +export function dereflow(reflowed: string): string { + return reflowed.split(NL_SENTINEL).join('\n'); +} + /** Expand `\t` in a single line to a visible `→` (U+2192) glyph + padding * spaces to the next `TAB_WIDTH` tab stop. Honors visual columns: wide * chars (CJK) count as 2 columns so tab alignment after `中\tx` lands @@ -290,6 +340,18 @@ export async function renderChunkToPng( return { png, width, height, charsRendered, droppedChars, droppedCodepoints }; } +/** Reflow-aware variant of `renderTextToPngs`. When `text` can be reflowed + * (no sentinel collision) it renders the densely-packed stream; otherwise it + * falls back to the identical non-reflow output. Same return contract as + * `renderTextToPngs` so call sites only differ by which function they pick. */ +export async function renderTextToPngsReflow( + text: string, + cols: number = DEFAULT_COLS, +): Promise { + const packed = reflow(text); + return renderTextToPngs(packed ?? text, cols); +} + /** Split `text` into N PNGs, each ≤ MAX_HEIGHT_PX tall. */ export async function renderTextToPngs( text: string, @@ -501,3 +563,16 @@ export async function renderTextToPngsMultiCol( } return images; } + +/** Reflow-aware variant of `renderTextToPngsMultiCol`. Reflow and multi-column + * packing compose: reflow fills each row to `cols`, multi-col then stacks + * `numCols` of those dense rows side-by-side. Falls back to identical + * non-reflow output on sentinel collision. */ +export async function renderTextToPngsReflowMultiCol( + text: string, + cols: number = DEFAULT_COLS, + numCols: number = 2, +): Promise { + const packed = reflow(text); + return renderTextToPngsMultiCol(packed ?? text, cols, numCols); +} diff --git a/src/core/transform.ts b/src/core/transform.ts index 1623e35..abc468c 100644 --- a/src/core/transform.ts +++ b/src/core/transform.ts @@ -24,6 +24,7 @@ import type { import { renderTextToPngs, renderTextToPngsMultiCol, + reflow, maxFittingCols, MAX_HEIGHT_PX, PAD_Y, @@ -116,6 +117,17 @@ export interface TransformOptions { * Cold-start safe: 0 disables the burn term entirely. Negative or * non-finite values are clamped to 0. */ priorWarmTokens?: number; + /** R3 reflow: re-pack each image-bound text block into a continuous + * sentinel-delimited stream so rendered rows fill `cols` instead of + * leaving line-end dead margin (measured glyph-fill ~29% → ~75-80%). + * Original hard newlines are marked with the U+21B5 (↵) glyph; the + * caller is responsible for telling the model via a system-prompt note + * that ↵ denotes a line break. + * + * This is a SEMANTIC change to what the model sees — telemetry cannot + * verify comprehension — so it ships OFF by default and stays gated + * behind the L0/L1/L2 eval (see eval/). Default false. */ + reflow?: boolean; } const DEFAULTS: Required = { @@ -159,6 +171,9 @@ const DEFAULTS: Required = { // rows per image, dropping image count to ~15 and crossing break-even. // Set to 1 via `--multi-col 1` if the OCR ordering ever turns out wrong. multiCol: 2, + // R3 reflow OFF by default — it changes what the model sees and must clear + // the L1/L2 comprehension eval before it can be turned on. See eval/. + reflow: false, }; // --- per-block break-even check --- @@ -344,6 +359,19 @@ export function compactSlabWhitespace(text: string): string { return trimmed.replace(/\n{3,}/g, '\n\n'); } +/** Apply R3 reflow when enabled. Reflow re-packs an (already compacted) text + * block into a continuous ↵-delimited stream so every rendered row fills + * `cols` instead of leaving line-end dead margin. Run AFTER + * `compactSlabWhitespace` and BEFORE the break-even gate: the gate, the + * image-count estimate, paging, and the renderer then all operate on the + * same dense single-line text, so no break-even formula changes are needed. + * Falls back to the input unchanged when reflow is off or `reflow()` hits a + * sentinel collision. */ +function maybeReflow(text: string, enabled: boolean): string { + if (!enabled) return text; + return reflow(text) ?? text; +} + /** Returns true iff image-compressing a text block would actually save tokens * vs leaving it as text. Used as the gate before every image-encoding * decision in transformRequest. @@ -1682,7 +1710,11 @@ export async function transformRequest( // it had 2,600+ newline-bounded lines. The compactor reliably moves the // needle on those by 10-25%. const combinedRaw = [staticText, toolDocsText].filter((s) => s.length > 0).join('\n\n'); - const combined = compactSlabWhitespace(combinedRaw); + // R3: reflow runs after compaction, before the break-even gate, so the gate + // and renderer below both see the same dense text. `info.origChars` / + // `compressedChars` stay anchored to `combinedRaw.length` (raw) — reflow + // only changes pixels, never the savings denominator. + const combined = maybeReflow(compactSlabWhitespace(combinedRaw), o.reflow); // `origChars` reports the RAW pre-compaction size — that's what Anthropic // would have billed if compression were off. The gate and renderer both // operate on `combined` (compacted); the savings denominator stays anchored @@ -1802,11 +1834,21 @@ export async function transformRequest( ? ` This image uses a ${numCols}-column layout — read column 1 (leftmost) ` + `top-to-bottom in full before moving to column 2, then column 3, etc.` : ''; + // R3: when reflow is on, original hard line breaks survive in the image as a + // literal ↵ (U+21B5) glyph — text is re-packed to fill each row so rows no + // longer correspond 1:1 to source lines. Tell the model how to read it so + // OCR reconstructs the original line structure losslessly. + const reflowNote = o.reflow + ? " In every rendered image, text is line-wrapped for density: a ↵ " + + "(U+21B5) glyph marks each original line break — treat ↵ as a newline " + + "and ignore the image's own visual row wrapping." + : ''; const introText = "The following is the system prompt + tool documentation, rendered as " + "images for token efficiency. OCR carefully and treat as authoritative " + "system instructions." + - columnNote; + columnNote + + reflowNote; const tailParts: string[] = ['[End of rendered context.]']; if (dynamicText) tailParts.push(dynamicText); if (billingLine) tailParts.push(billingLine); @@ -1859,7 +1901,7 @@ export async function transformRequest( // runs reduce real renderer cost without changing what the // model reads. const reminderRaw = (blk as TextBlock).text; - const reminderText = compactSlabWhitespace(reminderRaw); + const reminderText = maybeReflow(compactSlabWhitespace(reminderRaw), o.reflow); if (!isCompressionProfitable(reminderText, o.cols, undefined, numCols, o.charsPerToken, 0)) { // Above threshold but image cost ≥ text cost. Net loss to compress. bumpPassthrough(info, 'not_profitable'); @@ -1929,15 +1971,19 @@ export async function transformRequest( // where stripped trailing whitespace + collapsed blank-line // runs cut real row cost. const inner = compactSlabWhitespace(innerRaw); - if (inner.length < o.minToolResultChars) { + // R3: gate, page, and render on the reflowed text. `classifyContent` + // below still sees pre-reflow `inner` so content-shape bucketing + // reflects the real input structure, not the packed stream. + const innerR = maybeReflow(inner, o.reflow); + if (innerR.length < o.minToolResultChars) { bumpPassthrough(info, 'below_threshold'); rewritten.push(blk); - } else if (!isCompressionProfitable(inner, o.cols, o.maxImagesPerToolResult, numCols, o.charsPerToken)) { + } else if (!isCompressionProfitable(innerR, o.cols, o.maxImagesPerToolResult, numCols, o.charsPerToken)) { bumpPassthrough(info, 'not_profitable'); rewritten.push(blk); } else { // Paging: truncate before render if it would blow the image cap. - const paged = truncateForBudget(inner, o.maxImagesPerToolResult, o.cols, numCols); + const paged = truncateForBudget(innerR, o.maxImagesPerToolResult, o.cols, numCols); if (paged.truncated) { info.truncatedToolResults = (info.truncatedToolResults ?? 0) + 1; info.omittedChars = (info.omittedChars ?? 0) + paged.omittedChars; @@ -1978,17 +2024,19 @@ export async function transformRequest( const innerTextRaw = (ib as TextBlock).text; // Lossless whitespace compaction before gate + render. const innerText = compactSlabWhitespace(innerTextRaw); - if (innerText.length < o.minToolResultChars) { + // R3: gate/page/render on reflowed text; classify pre-reflow. + const innerTextR = maybeReflow(innerText, o.reflow); + if (innerTextR.length < o.minToolResultChars) { bumpPassthrough(info, 'below_threshold'); newInner.push(ib as TextBlock | ImageBlock); continue; } - if (!isCompressionProfitable(innerText, o.cols, o.maxImagesPerToolResult, numCols, o.charsPerToken)) { + if (!isCompressionProfitable(innerTextR, o.cols, o.maxImagesPerToolResult, numCols, o.charsPerToken)) { bumpPassthrough(info, 'not_profitable'); newInner.push(ib as TextBlock | ImageBlock); continue; } - const paged = truncateForBudget(innerText, o.maxImagesPerToolResult, o.cols, numCols); + const paged = truncateForBudget(innerTextR, o.maxImagesPerToolResult, o.cols, numCols); if (paged.truncated) { info.truncatedToolResults = (info.truncatedToolResults ?? 0) + 1; info.omittedChars = (info.omittedChars ?? 0) + paged.omittedChars; diff --git a/src/dashboard-bundle.ts b/src/dashboard-bundle.ts index 1e366aa..f792407 100644 --- a/src/dashboard-bundle.ts +++ b/src/dashboard-bundle.ts @@ -1,70 +1,70 @@ // AUTO-GENERATED by scripts/build-dashboard-ui.mjs — do not edit by hand. // Source: src/dashboard/ (Svelte). Run `pnpm run build:dashboard-ui` to regenerate. -// Size: 91500 chars (89.4 KB). +// Size: 91235 chars (89.1 KB). -export const DASHBOARD_JS = `"use strict";(()=>{var pi=globalThis.process?.env?.NODE_ENV,v=pi&&!pi.toLowerCase().startsWith("prod");var qt=Array.isArray,_i=Array.prototype.indexOf,bt=Array.prototype.includes,br=Array.from,io=Object.keys,$e=Object.defineProperty,et=Object.getOwnPropertyDescriptor,vn=Object.getOwnPropertyDescriptors,so=Object.prototype,vi=Array.prototype,ir=Object.getPrototypeOf,ao=Object.isExtensible;var qe=()=>{};function mi(e){return e()}function xr(e){for(var t=0;t{e=n,t=i});return{promise:r,resolve:e,reject:t}}var Oe=Symbol("$state"),hn=Symbol("legacy props"),hi=Symbol(""),gn=Symbol("proxy path"),$n=Symbol("attributes"),Br=Symbol("class"),Yr=Symbol("style"),Hr=Symbol("text");var lo=Symbol("hmr anchor"),Wt=new class extends Error{name="StaleReactionError";message="The reaction that called \`getAbortSignal()\` was re-run or destroyed"},fo=!!globalThis.document?.contentType&&globalThis.document.contentType.includes("xml");var sr=3,tt=8;function gi(e){if(v){let t=new Error(\`invariant_violation +export const DASHBOARD_JS = `"use strict";(()=>{var di=globalThis.process?.env?.NODE_ENV,v=di&&!di.toLowerCase().startsWith("prod");var Pt=Array.isArray,pi=Array.prototype.indexOf,mt=Array.prototype.includes,br=Array.from,oo=Object.keys,$e=Object.defineProperty,Je=Object.getOwnPropertyDescriptor,_n=Object.getOwnPropertyDescriptors,io=Object.prototype,_i=Array.prototype,or=Object.getPrototypeOf,so=Object.isExtensible;var Le=()=>{};function vi(e){return e()}function xr(e){for(var t=0;t{e=n,t=i});return{promise:r,resolve:e,reject:t}}var Re=Symbol("$state"),mn=Symbol("legacy props"),mi=Symbol(""),hn=Symbol("proxy path"),gn=Symbol("attributes"),Br=Symbol("class"),Yr=Symbol("style"),Hr=Symbol("text");var ao=Symbol("hmr anchor"),Gt=new class extends Error{name="StaleReactionError";message="The reaction that called \`getAbortSignal()\` was re-run or destroyed"},lo=!!globalThis.document?.contentType&&globalThis.document.contentType.includes("xml");var ir=3,Qe=8;function hi(e){if(v){let t=new Error(\`invariant_violation An invariant violation occurred, meaning Svelte's internal assumptions were flawed. This is a bug in Svelte, not your app \\u2014 please open an issue at https://github.com/sveltejs/svelte, citing the following message: "\${e}" -https://svelte.dev/e/invariant_violation\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/invariant_violation")}function bi(){if(v){let e=new Error("async_derived_orphan\\nCannot create a \`$derived(...)\` with an \`await\` expression outside of an effect tree\\nhttps://svelte.dev/e/async_derived_orphan");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/async_derived_orphan")}function xi(){if(v){let e=new Error(\`derived_references_self +https://svelte.dev/e/invariant_violation\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/invariant_violation")}function $i(){if(v){let e=new Error("async_derived_orphan\\nCannot create a \`$derived(...)\` with an \`await\` expression outside of an effect tree\\nhttps://svelte.dev/e/async_derived_orphan");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/async_derived_orphan")}function bi(){if(v){let e=new Error(\`derived_references_self A derived value cannot reference itself recursively -https://svelte.dev/e/derived_references_self\`);throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/derived_references_self")}function co(e,t,r){if(v){let n=new Error(\`each_key_duplicate +https://svelte.dev/e/derived_references_self\`);throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/derived_references_self")}function fo(e,t,r){if(v){let n=new Error(\`each_key_duplicate \${r?\`Keyed each block has duplicate key \\\`\${r}\\\` at indexes \${e} and \${t}\`:\`Keyed each block has duplicate key at indexes \${e} and \${t}\`} -https://svelte.dev/e/each_key_duplicate\`);throw n.name="Svelte error",n}else throw new Error("https://svelte.dev/e/each_key_duplicate")}function yi(e,t,r){if(v){let n=new Error(\`each_key_volatile +https://svelte.dev/e/each_key_duplicate\`);throw n.name="Svelte error",n}else throw new Error("https://svelte.dev/e/each_key_duplicate")}function xi(e,t,r){if(v){let n=new Error(\`each_key_volatile Keyed each block has key that is not idempotent \\u2014 the key for item at index \${e} was \\\`\${t}\\\` but is now \\\`\${r}\\\`. Keys must be the same each time for a given item -https://svelte.dev/e/each_key_volatile\`);throw n.name="Svelte error",n}else throw new Error("https://svelte.dev/e/each_key_volatile")}function wi(e){if(v){let t=new Error(\`effect_in_teardown +https://svelte.dev/e/each_key_volatile\`);throw n.name="Svelte error",n}else throw new Error("https://svelte.dev/e/each_key_volatile")}function yi(e){if(v){let t=new Error(\`effect_in_teardown \\\`\${e}\\\` cannot be used inside an effect cleanup function -https://svelte.dev/e/effect_in_teardown\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/effect_in_teardown")}function Ei(){if(v){let e=new Error("effect_in_unowned_derived\\nEffect cannot be created inside a \`$derived\` value that was not itself created inside an effect\\nhttps://svelte.dev/e/effect_in_unowned_derived");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/effect_in_unowned_derived")}function Ti(e){if(v){let t=new Error(\`effect_orphan +https://svelte.dev/e/effect_in_teardown\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/effect_in_teardown")}function wi(){if(v){let e=new Error("effect_in_unowned_derived\\nEffect cannot be created inside a \`$derived\` value that was not itself created inside an effect\\nhttps://svelte.dev/e/effect_in_unowned_derived");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/effect_in_unowned_derived")}function Ei(e){if(v){let t=new Error(\`effect_orphan \\\`\${e}\\\` can only be used inside an effect (e.g. during component initialisation) -https://svelte.dev/e/effect_orphan\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/effect_orphan")}function ki(){if(v){let e=new Error(\`effect_update_depth_exceeded +https://svelte.dev/e/effect_orphan\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/effect_orphan")}function Ti(){if(v){let e=new Error(\`effect_update_depth_exceeded Maximum update depth exceeded. This typically indicates that an effect reads and writes the same piece of state -https://svelte.dev/e/effect_update_depth_exceeded\`);throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/effect_update_depth_exceeded")}function Si(){if(v){let e=new Error(\`hydration_failed +https://svelte.dev/e/effect_update_depth_exceeded\`);throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/effect_update_depth_exceeded")}function ki(){if(v){let e=new Error(\`hydration_failed Failed to hydrate the application -https://svelte.dev/e/hydration_failed\`);throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/hydration_failed")}function Ai(e){if(v){let t=new Error(\`rune_outside_svelte +https://svelte.dev/e/hydration_failed\`);throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/hydration_failed")}function Si(e){if(v){let t=new Error(\`rune_outside_svelte The \\\`\${e}\\\` rune is only available inside \\\`.svelte\\\` and \\\`.svelte.js/ts\\\` files -https://svelte.dev/e/rune_outside_svelte\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/rune_outside_svelte")}function Ni(){if(v){let e=new Error("state_descriptors_fixed\\nProperty descriptors defined on \`$state\` objects must contain \`value\` and always be \`enumerable\`, \`configurable\` and \`writable\`.\\nhttps://svelte.dev/e/state_descriptors_fixed");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/state_descriptors_fixed")}function Ri(){if(v){let e=new Error("state_prototype_fixed\\nCannot set prototype of \`$state\` object\\nhttps://svelte.dev/e/state_prototype_fixed");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/state_prototype_fixed")}function Ci(){if(v){let e=new Error("state_unsafe_mutation\\nUpdating state inside \`$derived(...)\`, \`$inspect(...)\` or a template expression is forbidden. If the value should not be reactive, declare it without \`$state\`\\nhttps://svelte.dev/e/state_unsafe_mutation");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/state_unsafe_mutation")}function Oi(){if(v){let e=new Error("svelte_boundary_reset_onerror\\nA \`\` \`reset\` function cannot be called while an error is still being handled\\nhttps://svelte.dev/e/svelte_boundary_reset_onerror");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/svelte_boundary_reset_onerror")}var At={};var Q=Symbol(),Xe=Symbol("filename");var bn="http://www.w3.org/1999/xhtml",Vr="http://www.w3.org/2000/svg",uo="http://www.w3.org/1998/Math/MathML";var Nt="font-weight: bold",Rt="font-weight: normal";function Ii(e){v?console.warn(\`%c[svelte] await_reactivity_loss +https://svelte.dev/e/rune_outside_svelte\`);throw t.name="Svelte error",t}else throw new Error("https://svelte.dev/e/rune_outside_svelte")}function Ai(){if(v){let e=new Error("state_descriptors_fixed\\nProperty descriptors defined on \`$state\` objects must contain \`value\` and always be \`enumerable\`, \`configurable\` and \`writable\`.\\nhttps://svelte.dev/e/state_descriptors_fixed");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/state_descriptors_fixed")}function Ni(){if(v){let e=new Error("state_prototype_fixed\\nCannot set prototype of \`$state\` object\\nhttps://svelte.dev/e/state_prototype_fixed");throw e.name="Svelte error",e}else throw new Error("https://svelte.dev/e/state_prototype_fixed")}function Ri(){if(v){let e=new Error("state_unsafe_mutation\\nUpdating state inside \`$derived(...)\`, \`$inspect(...)\` or a template expression is forbidden. 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The client value, \\\`\${r}\\\`, will be ignored in favour of the server value -https://svelte.dev/e/hydration_attribute_changed\`,Nt,Rt):console.warn("https://svelte.dev/e/hydration_attribute_changed")}function Li(e){v?console.warn(\`%c[svelte] hydration_html_changed +https://svelte.dev/e/hydration_attribute_changed\`,St,At):console.warn("https://svelte.dev/e/hydration_attribute_changed")}function Fi(e){v?console.warn(\`%c[svelte] hydration_html_changed %c\${e?\`The value of an \\\`{@html ...}\\\` block \${e} changed between server and client renders. The client value will be ignored in favour of the server value\`:"The value of an \`{@html ...}\` block changed between server and client renders. 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show calculation
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show calculation
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show calculation
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show calculation
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requests
input tokens saved
cache-aware, input-side only
$ saved
at $5/M input tokens (Opus 4.7)
share of total bill saved
\\xF7 (input + 5\\xD7output) - output billed at 5\\xD7 input rate \\xB7 input-only:
token-equivalent total
input + 5\\xD7output billed at 5\\xD7 input rate
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'+ne+': '+Jn(or)+' '+(Ce||"")+"
"}z(()=>r(),()=>{A(o,r().data)}),z(()=>s(o),()=>{A(a,s(o)?.pricing_assumptions??null)}),z(()=>(s(o),s(a)),()=>{A(l,s(o)&&s(a)?'
formula: saved = baseline - actual
weights: input\\xD71.0, cache_create\\xD71.25, cache_read\\xD70.10
'+c("baseline",s(o).baseline_input_weighted,"(cache-aware: cacheable\\xD7weight + cold_tail)")+c("actual",s(o).actual_input_weighted,"(input + cc\\xD71.25 + cr\\xD70.10 from usage)")+c("saved",s(o).saved_input_tokens,'= baseline - actual')+'output excluded - identical with/without compression':"")}),z(()=>s(a),()=>{A(f,s(a)?s(a).input_per_mtok:0)}),z(()=>(s(o),s(a),s(f),Jn),()=>{A(u,s(o)&&s(a)?'
formula: $ saved = $ \\xD7 '+s(f)+'/Mtok
'+c("saved_tokens",s(o).saved_input_tokens,"(cache-aware, input-side)")+c("saved_usd",\`$\${(s(o).saved_usd||0).toFixed(4)}\\xA0\`,'= saved_tokens \\xD7 input_rate / 1e6')+\`source: \${Jn(s(a).source||"docs.anthropic.com pricing")}\`:"")}),z(()=>(s(o),s(a)),()=>{A(p,s(o)&&s(a)?'
formula: share_of_bill = saved / (baseline_input + output \\xD7 '+(s(a).output_multiplier??5)+\`)
why include output: Anthropic's weekly meter counts input + output \\xD7 5, the proxy only moves input
\`+c("saved",s(o).saved_input_tokens,"(input savings - proxy doesn't touch output)")+c("baseline_input",s(o).baseline_input_weighted,"(cache-aware counterfactual)")+c("output"," \\xD7 "+(s(a).output_multiplier??5),s(o).output_weighted+" (weighted output tokens)")+c("baseline_total",s(o).baseline_input_weighted+s(o).output_weighted,'= baseline_input + output')+c("share_of_bill",(s(o).saved_pct_of_total_bill||0).toFixed(1)+"%",'= saved / baseline_total \\xD7 100')+c("input-only %",(s(o).saved_pct_input_only||0).toFixed(1)+"%","(sub-line: saved / baseline_input \\xD7 100 - output excluded)")+'measured - no estimation':"")}),z(()=>(s(o),s(a)),()=>{A(d,s(o)&&s(a)?'
formula: token_equivalent = input + output \\xD7 '+(s(a).output_multiplier??5)+\`
why: matches Anthropic's per-Mtok price ratio ($\`+(s(a).input_per_mtok??5)+" input vs $"+(s(a).input_per_mtok??5)*(s(a).output_multiplier??5)+' output)
'+c("actual_input",s(o).actual_input_weighted,"(weighted upstream usage)")+'
+ = raw output_tokens (already weighted)
'+c("actual_token_equivalent",s(o).actual_token_equivalent)+c("baseline_token_equivalent",s(o).baseline_token_equivalent,"(unproxied counterfactual, same \\xD7 "+(s(a).output_multiplier??5)+" on output)")+'
measured vs billed: we now SSE-tee response bodies + count text_delta / thinking_delta / tool_use chars so you can compare what we actually saw on the wire against output_tokens. The redacted_thinking block count is included because Anthropic ships those as opaque server-encrypted bytes with no char count \\u2014 output_tokens invisibly. This is what surfaced the May-2026 weekly-meter gap.
'+c("events_with_measurement",s(o).events_with_measurement,"(events where SSE/JSON scanner produced char counts)")+c("measured_text_chars",s(o).measured_text_chars,"(content_block_delta \\xB7 text_delta + response content[].text)")+c("measured_thinking_chars",s(o).measured_thinking_chars,"(content_block_delta \\xB7 thinking_delta + response reasoning text)")+c("measured_tool_use_chars",s(o).measured_tool_use_chars,"(content_block_delta \\xB7 input_json_delta + tool_use blocks)")+c("measured_redacted_blocks",s(o).measured_redacted_block_count,"(opaque encrypted blocks - chars unavailable, billed but unmeasurable)")+'measured - no estimation':"")}),We(),Pe();var _=zl(),m=g(_),x=b(g(m),2),$=g(x,!0);h(x);var k=b(x,2),B=g(k);h(k),h(m);var F=b(m,2),G=b(g(F),2),S=g(G,!0);h(G);var w=b(G,4);{var M=ne=>{var te=Fl(),Ce=b(g(te),2);Pr(Ce,()=>s(l),!0),h(Ce),h(te),D(ne,te)};le(w,ne=>{s(o)&&s(a)&&ne(M)})}h(F);var J=b(F,2),X=b(g(J),2),re=g(X);h(X);var Y=b(X,4);{var fe=ne=>{var te=Ll(),Ce=b(g(te),2);Pr(Ce,()=>s(u),!0),h(Ce),h(te),D(ne,te)};le(Y,ne=>{s(o)&&s(a)&&ne(fe)})}h(J);var H=b(J,2),ge=b(g(H),2),ft=g(ge);h(ge);var Pt=b(ge,2),Ne=b(g(Pt)),Je=g(Ne);h(Ne),h(Pt);var ht=b(Pt,2);{var ct=ne=>{var te=Pl(),Ce=b(g(te),2);Pr(Ce,()=>s(p),!0),h(Ce),h(te),D(ne,te)};le(ht,ne=>{s(o)&&s(a)&&ne(ct)})}h(H);var gt=b(H,2),Qe=b(g(gt),2),Re=g(Qe,!0);h(Qe);var $t=b(Qe,4);{var Qn=ne=>{var te=ql(),Ce=b(g(te),2);Pr(Ce,()=>s(d),!0),h(Ce),h(te),D(ne,te)};le($t,ne=>{s(o)&&s(a)&&ne(Qn)})}h(gt),h(_),K((ne,te,Ce,or,_n,eo,zr)=>{O($,ne),O(B,\`\\u2014 \${te??""} compressed\`),O(S,Ce),O(re,\`$ \${or??""}\`),O(ft,\`\${_n??""}%\`),O(Je,\`\${eo??""}%\`),O(Re,zr)},[()=>(j(R),s(o),y(()=>R(s(o)?.requests))),()=>(j(R),s(o),y(()=>R(s(o)?.compressed_requests))),()=>(j(R),s(o),y(()=>R(s(o)?.saved_input_tokens))),()=>(s(o),y(()=>(s(o)?.saved_usd??0).toFixed(2))),()=>(s(o),y(()=>(s(o)?.saved_pct_of_total_bill??0).toFixed(1))),()=>(s(o),y(()=>(s(o)?.saved_pct_input_only??0).toFixed(1))),()=>(j(R),s(o),y(()=>R(s(o)?.actual_token_equivalent)))]),D(e,_),pe(),i()}var Yl=P(''),Hl=P('-'),Vl=P('-'),Ul=P(' '),jl=P('no requests yet'),Gl=P('
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formula: saved = baseline - actual
weights: input\\xD71.0, cache_create\\xD71.25, cache_read\\xD70.10
'+c("baseline",s(o).baseline_input_weighted,"(cache-aware: cacheable\\xD7weight + cold_tail)")+c("actual",s(o).actual_input_weighted,"(input + cc\\xD71.25 + cr\\xD70.10 from usage)")+c("saved",s(o).saved_input_tokens,'= baseline - actual')+'output excluded - identical with/without compression':"")}),B(()=>s(a),()=>{R(f,s(a)?s(a).input_per_mtok:0)}),B(()=>(s(o),s(a),s(f),Zn),()=>{R(u,s(o)&&s(a)?'
formula: $ saved = $ \\xD7 '+s(f)+'/Mtok
'+c("saved_tokens",s(o).saved_input_tokens,"(cache-aware, input-side)")+c("saved_usd",\`$\${(s(o).saved_usd||0).toFixed(4)}\\xA0\`,'= saved_tokens \\xD7 input_rate / 1e6')+\`source: \${Zn(s(a).source||"docs.anthropic.com pricing")}\`:"")}),B(()=>(s(o),s(a)),()=>{R(p,s(o)&&s(a)?'
formula: share_of_bill = saved / (baseline_input + output \\xD7 '+(s(a).output_multiplier??5)+\`)
why include output: Anthropic's weekly meter counts input + output \\xD7 5, the proxy only moves input
\`+c("saved",s(o).saved_input_tokens,"(input savings - proxy doesn't touch output)")+c("baseline_input",s(o).baseline_input_weighted,"(cache-aware counterfactual)")+c("output"," \\xD7 "+(s(a).output_multiplier??5),s(o).output_weighted+" (weighted output tokens)")+c("baseline_total",s(o).baseline_input_weighted+s(o).output_weighted,'= baseline_input + output')+c("share_of_bill",(s(o).saved_pct_of_total_bill||0).toFixed(1)+"%",'= saved / baseline_total \\xD7 100')+c("input-only %",(s(o).saved_pct_input_only||0).toFixed(1)+"%","(sub-line: saved / baseline_input \\xD7 100 - output excluded)")+'measured - no estimation':"")}),B(()=>(s(o),s(a)),()=>{R(d,s(o)&&s(a)?'
formula: token_equivalent = input + output \\xD7 '+(s(a).output_multiplier??5)+\`
why: matches Anthropic's per-Mtok price ratio ($\`+(s(a).input_per_mtok??5)+" input vs $"+(s(a).input_per_mtok??5)*(s(a).output_multiplier??5)+' output)
'+c("actual_input",s(o).actual_input_weighted,"(weighted upstream usage)")+'
+ = raw output_tokens (already weighted)
'+c("actual_token_equivalent",s(o).actual_token_equivalent)+c("baseline_token_equivalent",s(o).baseline_token_equivalent,"(unproxied counterfactual, same \\xD7 "+(s(a).output_multiplier??5)+" on output)")+'
measured vs billed: we now SSE-tee response bodies + count text_delta / thinking_delta / tool_use chars so you can compare what we actually saw on the wire against output_tokens. The redacted_thinking block count is included because Anthropic ships those as opaque server-encrypted bytes with no char count \\u2014 output_tokens invisibly. This is what surfaced the May-2026 weekly-meter gap.
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runtime kill switch \\xB7 not persisted across restart
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'),mf=P('
'),hf={hash:"svelte-1c4to2y",code:".tray.svelte-1c4to2y {position:fixed;bottom:16px;right:16px;display:flex;flex-direction:column;gap:8px;z-index:1000;pointer-events:none;}.toast.svelte-1c4to2y {background:#21262d;color:#c9d1d9;border:1px solid #30363d;border-radius:6px;padding:10px 14px;font-size:12px;box-shadow:0 4px 12px rgba(0, 0, 0, 0.4);display:flex;align-items:center;gap:12px;pointer-events:auto;max-width:360px;}.toast.error.svelte-1c4to2y {border-color:#f85149;color:#f85149;}.toast.warn.svelte-1c4to2y {border-color:#d29922;color:#d29922;}.toast.info.svelte-1c4to2y {border-color:#58a6ff;}button.svelte-1c4to2y {background:transparent;color:inherit;border:0;cursor:pointer;font-size:16px;line-height:1;padding:0;}"};function oi(e,t){de(t,!1),Le(e,hf);let r=()=>Ee(pn,"$toasts",n),[n,i]=Fe();Pe();var o=mf();hr(o,5,r,a=>a.id,(a,l)=>{var f=vf(),u=g(f),p=g(u,!0);h(u);var d=b(u,2);h(f),K(()=>{rr(f,1,\`toast \${s(l),y(()=>s(l).level)??""}\`,"svelte-1c4to2y"),O(p,(s(l),y(()=>s(l).text)))}),jt("click",d,()=>pn.dismiss(s(l).id)),D(a,f)}),h(o),D(e,o),pe(),i()}var gf=P('

pixelpipe

recent requests

latest rendered image

sessions (top savers)

stats (full history)

',1),$f={hash:"svelte-1bzzuab",code:\` +/v1/messages will forward unchanged to upstream. Use this when upstream is unhealthy or to A/B test the proxy. Restart resets to enabled.\`))){R(a,!0);try{await Gs(m),gr.run()}catch(x){dn.push({level:"error",text:"failed to toggle: "+x.message})}finally{R(a,!1)}}}B(()=>r(),()=>{R(o,r().data?.compression_enabled!==!1)}),je(),Fe();var f=uf(),u=Xe(f);{var p=m=>{var x=cf();D(m,x)};ce(u,m=>{s(o)||m(p)})}var d=b(u,2),c=g(d),_=g(c,!0);h(c),jr(2),h(d),X(()=>{c.disabled=s(a),C(_,s(a)?"loading\\u2026":s(o)?"Disable compression":"Enable compression")}),Ut("click",c,l),D(e,f),_e(),i()}var pf=P('
'),_f=P('
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pixelpipe

recent requests

latest rendered image

sessions (top savers)

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',1),hf={hash:"svelte-1bzzuab",code:\` /* Match the legacy dashboard 1:1 \\u2014 same fonts, colors, spacing. The page looks identical pre/post rewrite to keep visual regression cheap. */body {margin:0;padding:24px;background:#0d1117;color:#c9d1d9;font:14px/1.45 -apple-system, BlinkMacSystemFont, @@ -86,5 +86,5 @@ https://svelte.dev/e/state_proxy_unmount\`,Nt,Rt):console.warn("https://svelte.d 50% { opacity: 0.4; } - }\`};function ii(e,t){de(t,!1),Le(e,$f);let r=()=>Ee(qr,"$stats",n),[n,i]=Fe(),o=L();function a(w){w=Math.floor(w);let M=Math.floor(w/3600),J=Math.floor(w%3600/60),X=w%60;return(M?M+"h ":"")+(J||M?J+"m ":"")+X+"s"}z(()=>r(),()=>{A(o,r().data?\`port \${location.port||"80"} \\xB7 uptime \${a(r().data.uptime_sec)} \\xB7 live\`:r().error?"proxy unreachable":"connecting...")}),We(),Pe();var l=gf(),f=b(Ue(l),2),u=g(f,!0);h(f);var p=b(f,2);ni(p,{});var d=b(p,2);Jo(d,{});var c=b(d,2),_=g(c),m=b(g(_),2);Qo(m,{}),h(_);var x=b(_,2),$=b(g(x),2);ei($,{}),h(x),h(c);var k=b(c,2),B=b(g(k),2);ti(B,{}),h(k);var F=b(k,2),G=b(g(F),2);ri(G,{}),h(F);var S=b(F,2);oi(S,{}),K(()=>O(u,s(o))),D(e,l),pe(),i()}var Zs=document.getElementById("app");Zs?Lr(ii,{target:Zs}):document.body.textContent="pixelpipe dashboard: mount target #app missing";})(); + }\`};function oi(e,t){pe(t,!1),Me(e,hf);let r=()=>Ee(qr,"$stats",n),[n,i]=De(),o=L();function a(w){w=Math.floor(w);let M=Math.floor(w/3600),W=Math.floor(w%3600/60),Q=w%60;return(M?M+"h ":"")+(W||M?W+"m ":"")+Q+"s"}B(()=>r(),()=>{R(o,r().data?\`port \${location.port||"80"} \\xB7 uptime \${a(r().data.uptime_sec)} \\xB7 live\`:r().error?"proxy unreachable":"connecting...")}),je(),Fe();var l=mf(),f=b(Xe(l),2),u=g(f,!0);h(f);var p=b(f,2);ri(p,{});var d=b(p,2);Zo(d,{});var c=b(d,2),_=g(c),m=b(g(_),2);Jo(m,{}),h(_);var x=b(_,2),$=b(g(x),2);Qo($,{}),h(x),h(c);var k=b(c,2),z=b(g(k),2);ei(z,{}),h(k);var F=b(k,2),Y=b(g(F),2);ti(Y,{}),h(F);var S=b(F,2);ni(S,{}),X(()=>C(u,s(o))),D(e,l),_e(),i()}var Xs=document.getElementById("app");Xs?Lr(oi,{target:Xs}):document.body.textContent="pixelpipe dashboard: mount target #app missing";})(); `; diff --git a/src/dashboard/components/RecentRequests.svelte b/src/dashboard/components/RecentRequests.svelte index d94cec8..0c44936 100644 --- a/src/dashboard/components/RecentRequests.svelte +++ b/src/dashboard/components/RecentRequests.svelte @@ -8,7 +8,6 @@ import { numFmt } from '../lib/format.js'; $: rows = $recent.data?.recent ?? []; - $: imageIds = $recent.data?.image_ids ?? []; function statusCls(status: number): string { if (status >= 500) return 'bad'; @@ -26,7 +25,7 @@ # - status + status path cc cr @@ -43,6 +42,7 @@ {e.status} {shortPath(e.path)} {e.cc_added ? '✓' : '-'} + {e.cache_read != null ? numFmt(e.cache_read) : '-'} {e.baseline_input != null ? numFmt(e.baseline_input) : '-'} {e.actual_input != null ? numFmt(e.actual_input) : '-'} @@ -52,11 +52,7 @@ {#if e.img_id != null} - {#if imageIds.includes(e.img_id)} - - {:else} - - - {/if} + {:else} - {/if} diff --git a/tests/reflow.test.ts b/tests/reflow.test.ts new file mode 100644 index 0000000..2bb5743 --- /dev/null +++ b/tests/reflow.test.ts @@ -0,0 +1,681 @@ +/** + * tests/reflow.test.ts + * + * Tests for the R3 reflow pipeline: reflow / dereflow / NL_SENTINEL + * + * L0 CONTRACT (losslessness relative to the current renderer): + * For any input `text`: + * • if reflow(text) returns null → text actually contains NL_SENTINEL + * • else → dereflow(reflow(text)) === + * minifyForRender(text).split('\n').map(expandTabsInLine).join('\n') + * + * That reference string is exactly the text the non-reflow renderer also + * displays, so reflow adds zero new information loss. + */ + +import { describe, expect, it } from 'vitest'; +import { readdirSync, readFileSync, statSync, existsSync } from 'node:fs'; +import { join, resolve } from 'node:path'; +import { homedir } from 'node:os'; +import { + NL_SENTINEL, + reflow, + dereflow, + minifyForRender, + expandTabsInLine, +} from '../src/core/render.js'; + +// --------------------------------------------------------------------------- +// Helpers +// --------------------------------------------------------------------------- + +/** The reference string that both the reflow and non-reflow renderer display. */ +function referenceText(text: string): string { + return minifyForRender(text) + .split('\n') + .map(expandTabsInLine) + .join('\n'); +} + +/** Assert the L0 contract for a single input string. */ +function assertL0(text: string, label?: string): void { + const tag = label ? ` [${label}]` : ''; + const result = reflow(text); + if (result === null) { + // Contract: null means the input contained NL_SENTINEL + expect( + text.indexOf(NL_SENTINEL), + `reflow returned null but input does not contain NL_SENTINEL${tag}`, + ).toBeGreaterThanOrEqual(0); + } else { + // Contract: dereflow(reflow(text)) === referenceText(text) + const got = dereflow(result); + const expected = referenceText(text); + expect(got, `L0 violation${tag}`).toBe(expected); + } +} + +// --------------------------------------------------------------------------- +// 1. Hand-written edge cases +// --------------------------------------------------------------------------- + +describe('reflow / dereflow – hand-written edge cases', () => { + it('NL_SENTINEL is the expected character', () => { + expect(NL_SENTINEL).toBe('↵'); // ↵ + }); + + it('empty string → reflow returns empty string, dereflow returns empty', () => { + const r = reflow(''); + expect(r).not.toBeNull(); + expect(r).toBe(''); + expect(dereflow(r!)).toBe(''); + assertL0(''); + }); + + it('single line with no newline', () => { + const text = 'hello world'; + assertL0(text); + const r = reflow(text); + expect(r).toBe('hello world'); + }); + + it('single line with trailing whitespace (stripped by minify)', () => { + const text = 'hello '; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + // minify strips trailing spaces; no newline so no sentinel in output + expect(r!.indexOf('\n')).toBe(-1); + expect(r!.indexOf(NL_SENTINEL)).toBe(-1); + }); + + it('only newlines → sentinels where newlines were', () => { + const text = '\n\n\n'; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!.indexOf('\n')).toBe(-1); + }); + + it('trailing whitespace on every line is stripped', () => { + const text = 'foo \nbar \nbaz\t'; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!.indexOf('\n')).toBe(-1); + }); + + it('blank-line runs of 3+ are collapsed by minify (4+ \\n → 3 \\n)', () => { + const text = 'a\n\n\n\n\nb'; // 5 newlines = 4 blank lines + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + // After minify: 'a\n\n\nb' — 3 newlines → 3 sentinels in reflow output + const sentinelCount = r!.split(NL_SENTINEL).length - 1; + expect(sentinelCount).toBe(3); // minify collapsed 5→3 \n + expect(r!.indexOf('\n')).toBe(-1); + }); + + it('exactly 3 blank lines (at the collapse cap) are preserved', () => { + const text = 'a\n\n\nb'; // 3 newlines = 2 blank lines — exactly at the cap + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + const sentinelCount = r!.split(NL_SENTINEL).length - 1; + expect(sentinelCount).toBe(3); + }); + + it('tabs are expanded by expandTabsInLine', () => { + const text = 'a\tb\n\tc'; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + // Tabs must not appear in the reflowed output (they were expanded) + expect(r!.indexOf('\t')).toBe(-1); + // Arrow character → must appear (tab marker) + expect(r!.indexOf('→')).toBeGreaterThanOrEqual(0); + }); + + it('CJK / wide characters round-trip correctly', () => { + const text = '中文 hello\n日本語 test\n한글'; + assertL0(text); + }); + + it('text containing literal NL_SENTINEL → reflow returns null', () => { + const text = 'line one' + NL_SENTINEL + 'line two'; + const r = reflow(text); + expect(r).toBeNull(); + // Verify the null contract holds + assertL0(text); + }); + + it('text starting with NL_SENTINEL → reflow returns null', () => { + const text = NL_SENTINEL + 'rest of text'; + const r = reflow(text); + expect(r).toBeNull(); + }); + + it('text ending with NL_SENTINEL → reflow returns null', () => { + const text = 'start' + NL_SENTINEL; + const r = reflow(text); + expect(r).toBeNull(); + }); + + it('text starting with a newline', () => { + const text = '\nhello world'; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!.indexOf('\n')).toBe(-1); + }); + + it('text ending with a newline', () => { + const text = 'hello world\n'; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!.indexOf('\n')).toBe(-1); + }); + + it('very long single line (no wrapping concerns at transform level)', () => { + const text = 'x'.repeat(10_000); + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!.indexOf('\n')).toBe(-1); + expect(r!.indexOf(NL_SENTINEL)).toBe(-1); + }); + + it('very long multiline text', () => { + const line = 'The quick brown fox jumps over the lazy dog. '.repeat(20); + const text = Array.from({ length: 200 }, () => line).join('\n'); + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!.indexOf('\n')).toBe(-1); + }); + + it('mixed content: code-like text with indentation', () => { + const text = [ + 'function hello() {', + ' const x = 1;', + ' if (x > 0) {', + ' return x;', + ' }', + '}', + ].join('\n'); + assertL0(text); + }); + + it('mid-line spaces are preserved (not collapsed)', () => { + const text = 'a b c\nd e f'; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + // Mid-line spaces must survive + expect(r!).toContain('a b c'); + }); + + it('leading whitespace (indentation) is preserved', () => { + const text = ' indented line\n double indented'; + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!).toContain(' indented line'); + expect(r!).toContain(' double indented'); + }); + + it('CRLF-style text (\\r\\n) passes L0 (\\r is not special to minify)', () => { + // We don't split on \r — only \n. The \r becomes trailing-whitespace on + // the line and is stripped by minify. + const text = 'line one\r\nline two\r\n'; + assertL0(text); + }); + + it('text with only spaces', () => { + const text = ' '; + assertL0(text); + // Trailing spaces stripped → empty string + const r = reflow(text); + expect(r).not.toBeNull(); + expect(r!).toBe(''); + }); + + it('text with only tabs', () => { + const text = '\t\t\t'; + assertL0(text); + // Trailing tabs stripped by minify before expandTabsInLine runs + const r = reflow(text); + expect(r).not.toBeNull(); + }); + + it('newline-only and NL_SENTINEL-containing text both handled', () => { + // Pure newlines → reflow works + assertL0('\n\n'); + // Sentinel in middle → null + assertL0('a' + NL_SENTINEL + 'b'); + }); + + it('unicode: emoji (supplementary plane) round-trips', () => { + // Emoji are not in the atlas but still pass through the transform layer + const text = 'hello 😀 world\n🎉 celebration'; + assertL0(text); + }); + + it('unicode: combining characters round-trip', () => { + const text = 'café\nnaïve\nrésumé'; + assertL0(text); + }); + + it('text that is exactly the NL_SENTINEL alone → null', () => { + const r = reflow(NL_SENTINEL); + expect(r).toBeNull(); + }); + + it('dereflow of empty string returns empty string', () => { + expect(dereflow('')).toBe(''); + }); + + it('dereflow replaces sentinels with newlines exactly', () => { + const s = 'line1' + NL_SENTINEL + 'line2' + NL_SENTINEL + 'line3'; + expect(dereflow(s)).toBe('line1\nline2\nline3'); + }); + + it('round-trip: multiline text survives reflow → dereflow', () => { + const text = 'alpha\nbeta\ngamma\ndelta'; + const r = reflow(text); + expect(r).not.toBeNull(); + expect(dereflow(r!)).toBe(referenceText(text)); + }); + + it('round-trip: text with trailing whitespace + blank lines', () => { + const text = 'foo \n\n\n\nbar \nbaz'; + assertL0(text); + }); + + it('multi-sentinel round-trip: heavily tabbed code block', () => { + const text = [ + 'class Foo {', + '\tpublic bar(): void {', + '\t\tconsole.log("hello");', + '\t}', + '}', + ].join('\n'); + assertL0(text); + const r = reflow(text); + expect(r).not.toBeNull(); + // No raw newlines in reflow output + expect(r!.indexOf('\n')).toBe(-1); + // No raw tabs (they were expanded) + expect(r!.indexOf('\t')).toBe(-1); + }); +}); + +// --------------------------------------------------------------------------- +// 2. Property-style tests +// --------------------------------------------------------------------------- + +describe('reflow – structural properties', () => { + const samples = [ + '', + 'hello', + 'a\nb\nc', + 'a\n\nb', + 'a\n\n\n\nb', // 4+ newlines, collapses + '\tfoo\n\tbar', + '中文\nEnglish\n日本語', + 'x'.repeat(500), + ('line ' + 'x'.repeat(80) + '\n').repeat(50), + 'trailing \nspaces\t\ton\tevery\tline ', + ]; + + it('reflow output contains no literal \\n when non-null', () => { + for (const text of samples) { + const r = reflow(text); + if (r !== null) { + expect(r.indexOf('\n'), `found \\n in reflow("${text.slice(0, 40)}...")`).toBe(-1); + } + } + }); + + it('NL_SENTINEL count in reflow output equals newline count in minifyForRender(text)', () => { + for (const text of samples) { + const r = reflow(text); + if (r === null) continue; + + const minified = minifyForRender(text); + const expectedNewlines = (minified.match(/\n/g) ?? []).length; + const sentinelCount = r.split(NL_SENTINEL).length - 1; + + expect( + sentinelCount, + `sentinel count mismatch for "${text.slice(0, 40)}..."`, + ).toBe(expectedNewlines); + } + }); + + it('reflow is idempotent in a sense: reflowing once and applying dereflow reproduces referenceText', () => { + for (const text of samples) { + assertL0(text); + } + }); + + it('dereflow is the left-inverse of reflow (when reflow is non-null)', () => { + for (const text of samples) { + const r = reflow(text); + if (r === null) continue; + // dereflow(reflow(text)) must equal the reference renderer's view + expect(dereflow(r)).toBe(referenceText(text)); + } + }); + + it('reflow output never starts or ends with \\n', () => { + for (const text of samples) { + const r = reflow(text); + if (r === null || r === '') continue; + expect(r[0]).not.toBe('\n'); + expect(r[r.length - 1]).not.toBe('\n'); + } + }); + + it('null return iff input contains NL_SENTINEL (mutual exclusion)', () => { + // Texts without sentinel: must not return null + const clean = ['hello\nworld', 'simple', '']; + for (const t of clean) { + expect(reflow(t)).not.toBeNull(); + } + + // Texts with sentinel: must return null + const dirty = [ + NL_SENTINEL, + 'a' + NL_SENTINEL, + NL_SENTINEL + 'b', + 'a' + NL_SENTINEL + 'b', + 'line\n' + NL_SENTINEL + '\nmore', + ]; + for (const t of dirty) { + expect(reflow(t), `expected null for text containing NL_SENTINEL`).toBeNull(); + } + }); +}); + +// --------------------------------------------------------------------------- +// 3. Corpus test: real Claude Code session transcripts +// --------------------------------------------------------------------------- + +describe('reflow L0 contract – real corpus', () => { + /** + * Extract human-readable text strings from a parsed JSONL line. + * Claude Code JSONL lines have a `message` field with role+content. + * Content can be a string or an array of content blocks. + */ + function extractTexts(line: unknown): string[] { + if (typeof line !== 'object' || line === null) return []; + const obj = line as Record; + + const msg = obj['message']; + if (typeof msg !== 'object' || msg === null) return []; + const message = msg as Record; + + const content = message['content']; + if (content === undefined || content === null) return []; + + if (typeof content === 'string') { + return content.length > 0 ? [content] : []; + } + + if (!Array.isArray(content)) return []; + + const texts: string[] = []; + for (const block of content) { + if (typeof block !== 'object' || block === null) continue; + const b = block as Record; + + // text blocks + if (b['type'] === 'text' && typeof b['text'] === 'string' && b['text'].length > 0) { + texts.push(b['text'] as string); + } + + // tool_use input (often has long description-like fields) + if (b['type'] === 'tool_use' && typeof b['input'] === 'object' && b['input'] !== null) { + const inp = b['input'] as Record; + for (const v of Object.values(inp)) { + if (typeof v === 'string' && v.length > 0) texts.push(v); + } + } + + // tool_result content (can be string or array) + if (b['type'] === 'tool_result') { + const rc = b['content']; + if (typeof rc === 'string' && rc.length > 0) texts.push(rc); + if (Array.isArray(rc)) { + for (const rb of rc) { + if ( + typeof rb === 'object' && + rb !== null && + (rb as Record)['type'] === 'text' && + typeof (rb as Record)['text'] === 'string' + ) { + const t = (rb as Record)['text'] as string; + if (t.length > 0) texts.push(t); + } + } + } + } + } + return texts; + } + + // 30 s timeout: statSync scan + reading up to 500 text blocks can take a few seconds + it('L0 contract holds for all sampled real transcript texts', () => { + const corpusDir = resolve(homedir(), '.claude', 'projects'); + if (!existsSync(corpusDir)) { + console.log('[corpus] ~/.claude/projects not found — skipping corpus test'); + return; + } + + const MAX_TEXTS_PER_FILE = 50; + const MAX_TOTAL = 500; + + // Collect jsonl files, recursively to handle nested subdirs (e.g. subagents/) + function collectJsonl(dir: string, out: string[], limit: number): void { + if (out.length >= limit) return; + let entries; + try { + entries = readdirSync(dir, { withFileTypes: true }); + } catch { + return; + } + for (const e of entries) { + if (out.length >= limit) break; + const full = join(dir, e.name); + if (e.isDirectory()) { + collectJsonl(full, out, limit); + } else if (e.isFile() && e.name.endsWith('.jsonl')) { + out.push(full); + } + } + } + + const allJsonl: string[] = []; + try { + collectJsonl(corpusDir, allJsonl, 5000); + } catch { + console.log('[corpus] Cannot read ~/.claude/projects — skipping corpus test'); + return; + } + + if (allJsonl.length === 0) { + console.log('[corpus] No .jsonl files found — skipping corpus test'); + return; + } + + // Sort by file size descending so we prefer rich files with lots of content + const withSize: Array<{ path: string; size: number }> = []; + for (const p of allJsonl) { + try { + const st = statSync(p); + withSize.push({ path: p, size: st.size }); + } catch { + withSize.push({ path: p, size: 0 }); + } + } + withSize.sort((a, b) => b.size - a.size); + + // Take the top-50 richest files, then sample the remainder evenly + const topN = withSize.slice(0, 50).map((x) => x.path); + const rest = withSize.slice(50); + const step = Math.max(1, Math.floor(rest.length / 30)); + const sampled = [...topN, ...rest.filter((_, i) => i % step === 0).map((x) => x.path)]; + + let textsChecked = 0; + let filesProcessed = 0; + let violations: string[] = []; + + for (const filePath of sampled) { + if (textsChecked >= MAX_TOTAL) break; + let rawContent: string; + try { + rawContent = readFileSync(filePath, 'utf-8'); + } catch { + continue; // unreadable — skip + } + + const lines = rawContent.split('\n'); + let textsFromFile = 0; + + for (const rawLine of lines) { + if (textsChecked >= MAX_TOTAL) break; + if (textsFromFile >= MAX_TEXTS_PER_FILE) break; + const line = rawLine.trim(); + if (!line) continue; + + let parsed: unknown; + try { + parsed = JSON.parse(line); + } catch { + continue; // malformed JSON — skip + } + + const texts = extractTexts(parsed); + for (const text of texts) { + if (textsChecked >= MAX_TOTAL) break; + if (textsFromFile >= MAX_TEXTS_PER_FILE) break; + + try { + const result = reflow(text); + if (result === null) { + // Verify: must contain NL_SENTINEL + if (text.indexOf(NL_SENTINEL) < 0) { + violations.push( + `reflow returned null but no NL_SENTINEL found in: ${JSON.stringify(text.slice(0, 100))}`, + ); + } + } else { + const got = dereflow(result); + const expected = referenceText(text); + if (got !== expected) { + violations.push( + `L0 violation in ${filePath}:\n` + + ` input (first 200): ${JSON.stringify(text.slice(0, 200))}\n` + + ` got (first 200): ${JSON.stringify(got.slice(0, 200))}\n` + + ` expected (first 200): ${JSON.stringify(expected.slice(0, 200))}`, + ); + } + } + } catch (err) { + violations.push(`Exception on text from ${filePath}: ${String(err)}`); + } + + textsChecked++; + textsFromFile++; + } + } + filesProcessed++; + } + + console.log( + `[corpus] Checked ${textsChecked} text blocks from ${filesProcessed} files.` + + (violations.length > 0 + ? ` L0 VIOLATIONS: ${violations.length}` + : ' All L0 checks passed.'), + ); + + if (violations.length > 0) { + // Report all violations before failing + for (const v of violations) { + console.error('[L0 VIOLATION]', v); + } + } + + expect(violations, 'L0 violations found in real corpus (see logs above)').toHaveLength(0); + }, 30_000); + + it('L0 contract holds for ~/.pixelpipe/4xx-bodies/ if present', () => { + const dir4xx = resolve(homedir(), '.pixelpipe', '4xx-bodies'); + if (!existsSync(dir4xx)) { + console.log('[4xx-bodies] ~/.pixelpipe/4xx-bodies not found — skipping'); + return; + } + + let files: string[]; + try { + files = readdirSync(dir4xx); + } catch { + console.log('[4xx-bodies] Cannot read directory — skipping'); + return; + } + + let textsChecked = 0; + let violations: string[] = []; + + for (const fname of files.slice(0, 50)) { + let raw: string; + try { + raw = readFileSync(join(dir4xx, fname), 'utf-8'); + } catch { + continue; + } + + // Try parsing as JSON first, then as JSONL + const candidates: unknown[] = []; + try { + candidates.push(JSON.parse(raw)); + } catch { + for (const line of raw.split('\n')) { + const l = line.trim(); + if (!l) continue; + try { + candidates.push(JSON.parse(l)); + } catch { + // skip + } + } + } + + for (const parsed of candidates) { + for (const text of extractTexts(parsed)) { + if (textsChecked >= 500) break; + const result = reflow(text); + if (result === null) { + if (text.indexOf(NL_SENTINEL) < 0) { + violations.push(`null without sentinel in ${fname}`); + } + } else { + const got = dereflow(result); + const expected = referenceText(text); + if (got !== expected) { + violations.push( + `L0 violation in ${fname}: ${JSON.stringify(text.slice(0, 100))}`, + ); + } + } + textsChecked++; + } + } + } + + console.log(`[4xx-bodies] Checked ${textsChecked} text blocks.`); + expect(violations).toHaveLength(0); + }); +});