Fase 4 token-opt, Item 1 of gap-review NEXT STEP #2. The prompt-cache pattern corpus + TOK scanner were frozen at an "Opus 4.7" framing after CC shipped Opus 4.8 (default, 2.1.154) and Fable 5 (2.1.170). Model-era facts re-verified against the official changelog cache before editing. The patterns are properties of prompt-caching, not of any model, so mechanic text is now model-neutral with a single "current default: Opus 4.8" anchor — preventing a re-freeze at the next model bump. - rename knowledge/opus-4.7-patterns.md -> prompt-cache-patterns.md (git mv, history preserved); 6 reference sites updated - TOK scanner: line-318 finding text (human-facing) made model-neutral; header + cache-prefix-scanner + CLI comments refreshed - configuration-best-practices.md body + footnote 4.7 -> 4.8 - human-facing docs: commands/{tokens,help,manifest}.md, project CLAUDE.md, README, docs/scanner-internals.md - gap-matrix row marked DONE; future Items 2/3 retargeted to new filename Failing-test-first (Iron Law): +2 knowledge staleness guards (era-anchor + no-refreeze) +1 scanner assertion (no stale model anchor in finding text). Suite 853 -> 856 green; zero snapshot drift; self-audit A(97) PASS. CHANGELOG / v5 plan / ratified gap-plan keep historical opus-4.7-patterns refs (correct record of past state). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ter3E2JSi1Khgmuf2kady8
140 lines
4.4 KiB
JavaScript
Executable file
140 lines
4.4 KiB
JavaScript
Executable file
#!/usr/bin/env node
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/**
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* token-hotspots CLI — emit ranked token hotspots and prompt-cache pattern findings
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* for a target repo path.
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*
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* Usage:
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* node token-hotspots-cli.mjs [path] [--json] [--output-file <path>] [--global]
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* [--with-telemetry-recipe] [--accurate-tokens]
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*
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* Exit codes: 0=ok, 3=unrecoverable error.
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* Zero external dependencies.
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*/
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import { resolve, dirname } from 'node:path';
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import { fileURLToPath } from 'node:url';
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import { writeFile, readFile, stat } from 'node:fs/promises';
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import { discoverConfigFiles } from './lib/file-discovery.mjs';
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import { resetCounter } from './lib/output.mjs';
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import { scan } from './token-hotspots.mjs';
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import * as tokenizerApi from './lib/tokenizer-api.mjs';
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import { humanizeFindings } from './lib/humanizer.mjs';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const TELEMETRY_RECIPE_PATH = resolve(__dirname, '..', 'knowledge', 'cache-telemetry-recipe.md');
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const ACCURATE_TOKENS_SAMPLE_SIZE = 3;
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async function calibrateAgainstApi(hotspots, apiKey) {
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const sampled = hotspots.slice(0, ACCURATE_TOKENS_SAMPLE_SIZE);
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let actualTokens = 0;
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for (const hotspot of sampled) {
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if (!hotspot?.path) continue;
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let content;
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try {
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content = await readFile(hotspot.path, 'utf-8');
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} catch {
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continue;
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}
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const result = await tokenizerApi.callCountTokensApi(content, apiKey);
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actualTokens += result.input_tokens;
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}
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return {
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actual_tokens: actualTokens,
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source: 'count_tokens_api',
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sampled_hotspots: sampled.length,
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};
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}
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async function main() {
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const args = process.argv.slice(2);
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let targetPath = '.';
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let outputFile = null;
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let jsonMode = false;
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let rawMode = false;
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let includeGlobal = false;
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let withTelemetryRecipe = false;
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let accurateTokens = false;
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for (let i = 0; i < args.length; i++) {
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if (args[i] === '--json') jsonMode = true;
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else if (args[i] === '--raw') rawMode = true;
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else if (args[i] === '--global') includeGlobal = true;
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else if (args[i] === '--with-telemetry-recipe') withTelemetryRecipe = true;
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else if (args[i] === '--accurate-tokens') accurateTokens = true;
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else if (args[i] === '--output-file' && args[i + 1]) outputFile = args[++i];
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else if (!args[i].startsWith('-')) targetPath = args[i];
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}
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const absPath = resolve(targetPath);
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try {
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const s = await stat(absPath);
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if (!s.isDirectory()) {
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process.stderr.write(`Error: ${absPath} is not a directory\n`);
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process.exit(3);
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}
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} catch {
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process.stderr.write(`Error: path does not exist: ${absPath}\n`);
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process.exit(3);
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}
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resetCounter();
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const discovery = await discoverConfigFiles(absPath, { includeGlobal });
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const result = await scan(absPath, discovery);
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const payload = {
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scanner: result.scanner,
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status: result.status,
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files_scanned: result.files_scanned,
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duration_ms: result.duration_ms,
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total_estimated_tokens: result.total_estimated_tokens,
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hotspots: result.hotspots,
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findings: result.findings,
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counts: result.counts,
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};
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if (withTelemetryRecipe) {
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payload.telemetry_recipe_path = TELEMETRY_RECIPE_PATH;
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}
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if (accurateTokens) {
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const apiKey = process.env.ANTHROPIC_API_KEY;
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if (!apiKey || apiKey.length === 0) {
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process.stderr.write('ANTHROPIC_API_KEY not set — skipping API calibration\n');
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payload.calibration = { skipped: 'no-api-key' };
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} else {
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try {
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payload.calibration = await calibrateAgainstApi(result.hotspots || [], apiKey);
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} catch (err) {
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// Error message is already key-masked by tokenizer-api.mjs.
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process.stderr.write(`Calibration error: ${err.message}\n`);
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payload.calibration = { skipped: 'api-error', error: err.message };
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}
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}
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}
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// Default mode humanizes payload.findings (NOT result.findings).
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// --json and --raw bypass for v5.0.0 byte-equal output.
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if (!jsonMode && !rawMode) {
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payload.findings = humanizeFindings(payload.findings);
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}
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const json = JSON.stringify(payload, null, 2);
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if (outputFile) {
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await writeFile(outputFile, json, 'utf-8');
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}
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if (jsonMode || rawMode || !outputFile) {
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process.stdout.write(json + '\n');
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}
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}
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const isDirectRun = process.argv[1] && resolve(process.argv[1]) === resolve(new URL(import.meta.url).pathname);
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if (isDirectRun) {
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main().catch(err => {
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process.stderr.write(`Fatal: ${err.message}\n`);
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process.exit(3);
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});
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}
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