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- suggest-compact hook now reads the latest usage record from the session transcript and suggests /compact at a window-scaled token threshold (160k/200k window, 250k/1M window; COMPACT_CONTEXT_THRESHOLD and COMPACT_CONTEXT_INTERVAL overridable), re-firing per 60k-token growth bucket; tool-call count stays as the secondary signal (#2155) - Codex repo marketplace now points at ./plugins/ecc instead of ./ — Codex never discovers plugins whose local marketplace source.path is the marketplace root (verified on Codex CLI 0.137.0); plugins/ecc is a thin folder referencing root skills/.mcp.json per maintainer direction on #2097; docs flag plugin mode as experimental with the upstream blocker openai/codex#26037 linked (#2128) - README badges for installs/stars/forks now use shields endpoint badges backed by api.ecc.tools (live install count 3,712 vs the stale static 150), which also eliminates shields' 'Unable to select next GitHub token from pool' render in the stars badge Closes #2155 Closes #2128
227 lines
6.9 KiB
JavaScript
227 lines
6.9 KiB
JavaScript
/**
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* Transcript context-size helpers for the strategic-compact hook (#2155).
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*
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* Reads the latest assistant `usage` record from a Claude Code session
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* transcript (JSONL) and derives a context-size signal:
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*
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* - `input_tokens + cache_read_input_tokens + cache_creation_input_tokens`
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* partition the prompt, so their sum is the true context size of the turn.
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* - The context window is detected from the model id (`[1m]` marker) or from
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* the observed token count (anything above 200k implies a 1M window even
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* when logs drop the suffix).
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* - Thresholds are window-scaled and env-overridable; re-reminders fire in
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* fixed token "buckets" above the threshold so the suggestion only repeats
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* after real context growth.
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*
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* Only the tail of the transcript is read (latest records live at the end),
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* keeping the PreToolUse hook fast even for very large sessions.
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*/
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const fs = require('fs');
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const STANDARD_CONTEXT_WINDOW_TOKENS = 200000;
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const LARGE_CONTEXT_WINDOW_TOKENS = 1000000;
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const DEFAULT_CONTEXT_THRESHOLD_STANDARD = 160000;
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const DEFAULT_CONTEXT_THRESHOLD_LARGE = 250000;
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const DEFAULT_CONTEXT_INTERVAL_TOKENS = 60000;
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const DEFAULT_TRANSCRIPT_TAIL_BYTES = 256 * 1024;
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const MAX_TOKEN_SETTING = 10000000;
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const LARGE_WINDOW_MODEL_MARKER = '[1m]';
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/**
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* Read the trailing `tailBytes` of a file as UTF-8.
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* Returns null when the file is missing or unreadable.
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*/
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function readFileTail(filePath, tailBytes) {
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let fd;
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try {
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fd = fs.openSync(filePath, 'r');
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} catch {
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return null;
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}
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try {
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const size = fs.fstatSync(fd).size;
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const start = Math.max(0, size - tailBytes);
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const length = size - start;
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if (length <= 0) {
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return { text: '', truncated: false };
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}
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const buffer = Buffer.alloc(length);
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const bytesRead = fs.readSync(fd, buffer, 0, length, start);
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return {
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text: buffer.toString('utf8', 0, bytesRead),
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truncated: start > 0
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};
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} catch {
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return null;
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} finally {
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try {
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fs.closeSync(fd);
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} catch {
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/* ignore */
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}
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}
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}
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/**
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* Extract the context token total from a transcript record's usage block.
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* Returns 0 when the record carries no usable usage data.
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*/
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function extractUsageTokens(record) {
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const usage = record && record.message && record.message.usage;
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if (!usage || typeof usage !== 'object') {
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return 0;
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}
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const total =
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(Number.isFinite(usage.input_tokens) ? usage.input_tokens : 0) +
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(Number.isFinite(usage.cache_read_input_tokens) ? usage.cache_read_input_tokens : 0) +
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(Number.isFinite(usage.cache_creation_input_tokens) ? usage.cache_creation_input_tokens : 0);
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return total > 0 ? total : 0;
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}
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/**
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* Scan a session transcript (JSONL) backwards for the most recent record with
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* a non-empty `message.usage` block.
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*
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* @param {string} transcriptPath - Absolute path to the transcript JSONL.
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* @param {object} [options]
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* @param {number} [options.tailBytes] - How many trailing bytes to scan.
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* @returns {{ tokens: number, model: string } | null} Latest context size, or
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* null when the transcript is missing, unreadable, or has no usage records.
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*/
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function readLatestContextTokens(transcriptPath, options = {}) {
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if (typeof transcriptPath !== 'string' || !transcriptPath) {
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return null;
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}
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const tailBytes = Number.isInteger(options.tailBytes) && options.tailBytes > 0
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? options.tailBytes
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: DEFAULT_TRANSCRIPT_TAIL_BYTES;
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const tail = readFileTail(transcriptPath, tailBytes);
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if (!tail) {
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return null;
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}
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const lines = tail.text.split('\n');
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// The first line of a truncated tail is almost certainly partial JSON.
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const firstLine = tail.truncated ? 1 : 0;
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for (let i = lines.length - 1; i >= firstLine; i--) {
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const line = lines[i].trim();
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if (!line) continue;
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let record;
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try {
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record = JSON.parse(line);
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} catch {
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continue;
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}
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const tokens = extractUsageTokens(record);
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if (tokens > 0) {
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const model = record.message && typeof record.message.model === 'string'
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? record.message.model
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: '';
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return { tokens, model };
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}
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}
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return null;
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}
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/**
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* Detect the context window size for a turn.
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* 1M when the model id carries the `[1m]` marker, or when the observed token
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* count already exceeds the standard 200k window (covers logs that drop the
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* suffix); otherwise the standard 200k window.
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*/
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function resolveContextWindowTokens(tokens, model) {
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if (typeof model === 'string' && model.includes(LARGE_WINDOW_MODEL_MARKER)) {
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return LARGE_CONTEXT_WINDOW_TOKENS;
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}
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if (Number.isFinite(tokens) && tokens > STANDARD_CONTEXT_WINDOW_TOKENS) {
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return LARGE_CONTEXT_WINDOW_TOKENS;
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}
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return STANDARD_CONTEXT_WINDOW_TOKENS;
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}
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/**
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* Resolve the context-size suggestion threshold (tokens).
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* `COMPACT_CONTEXT_THRESHOLD=0` disables the context signal entirely;
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* other invalid values fall back to the window-scaled default.
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*/
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function resolveContextThreshold(env, windowTokens) {
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const raw = env && env.COMPACT_CONTEXT_THRESHOLD;
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if (raw !== undefined && raw !== null && raw !== '') {
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const parsed = Number.parseInt(raw, 10);
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if (parsed === 0) {
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return 0;
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}
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if (Number.isInteger(parsed) && parsed > 0 && parsed <= MAX_TOKEN_SETTING) {
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return parsed;
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}
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}
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return windowTokens >= LARGE_CONTEXT_WINDOW_TOKENS
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? DEFAULT_CONTEXT_THRESHOLD_LARGE
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: DEFAULT_CONTEXT_THRESHOLD_STANDARD;
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}
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/**
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* Resolve the re-reminder step (tokens of additional context growth before
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* the suggestion repeats). Invalid values fall back to the default.
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*/
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function resolveContextInterval(env) {
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const raw = env && env.COMPACT_CONTEXT_INTERVAL;
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const parsed = Number.parseInt(raw, 10);
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return Number.isInteger(parsed) && parsed > 0 && parsed <= MAX_TOKEN_SETTING
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? parsed
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: DEFAULT_CONTEXT_INTERVAL_TOKENS;
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}
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/**
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* Map a context size onto a suggestion bucket.
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* Returns -1 below the threshold; bucket 0 at the threshold; +1 for every
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* `interval` tokens of growth beyond it. The hook fires only when the bucket
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* rises above the last bucket it already fired for.
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*/
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function computeContextBucket(tokens, threshold, interval) {
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if (!Number.isFinite(tokens) || threshold <= 0 || tokens < threshold) {
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return -1;
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}
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const step = Number.isInteger(interval) && interval > 0 ? interval : DEFAULT_CONTEXT_INTERVAL_TOKENS;
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return Math.floor((tokens - threshold) / step);
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}
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/**
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* Human-readable label for a context window size (e.g. "200k", "1M").
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*/
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function formatWindowLabel(windowTokens) {
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return windowTokens >= LARGE_CONTEXT_WINDOW_TOKENS
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? '1M'
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: `${Math.round(windowTokens / 1000)}k`;
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}
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module.exports = {
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STANDARD_CONTEXT_WINDOW_TOKENS,
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LARGE_CONTEXT_WINDOW_TOKENS,
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DEFAULT_CONTEXT_THRESHOLD_STANDARD,
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DEFAULT_CONTEXT_THRESHOLD_LARGE,
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DEFAULT_CONTEXT_INTERVAL_TOKENS,
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DEFAULT_TRANSCRIPT_TAIL_BYTES,
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readLatestContextTokens,
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resolveContextWindowTokens,
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resolveContextThreshold,
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resolveContextInterval,
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computeContextBucket,
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formatWindowLabel
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};
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