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38 lines
3.3 KiB
Plaintext
38 lines
3.3 KiB
Plaintext
torch/src/services/memory/index.js:45:const MIN_SAVE_INTERVAL_MS = 1000;
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torch/src/services/memory/index.js:158:const ESTIMATED_INDEX_BYTES_PER_RECORD = 512;
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torch/src/services/memory/index.js:164: if (typeof value === 'string' && value.length > 300) {
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torch/src/services/memory/index.js:165: safe[key] = `${value.slice(0, 300)}…`;
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torch/src/services/memory/index.js:225: if (samples.length > 10_000) {
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torch/src/services/memory/index.js:226: samples.splice(0, samples.length - 10_000);
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torch/src/services/memory/index.js:324: * const result = await runPruneCycle({ retentionMs: 30 * 24 * 60 * 60 * 1000 });
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torch/src/services/memory/index.js:329: const retentionMs = options.retentionMs ?? (1000 * 60 * 60 * 24 * 30);
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torch/src/services/memory/index.js:491: * const preview = await triggerPruneDryRun({ retentionMs: 7 * 24 * 60 * 60 * 1000 });
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torch/src/services/memory/index.js:495: const retentionMs = options.retentionMs ?? (1000 * 60 * 60 * 24 * 30);
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torch/src/services/memory/index.js:530: * const stats = await memoryStats({ windowMs: 60 * 60 * 1000 });
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torch/src/services/memory/index.js:535: const windowMs = Number.isFinite(options.windowMs) ? Math.max(1, Number(options.windowMs)) : (60 * 60 * 1000);
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torch/src/services/memory/index.js:548: const ingestThroughputPerMinute = ingestedInWindow / Math.max(1, (windowMs / 60_000));
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torch/src/services/memory/pruner.js:3:const DAY_MS = 24 * 60 * 60 * 1000;
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torch/src/services/memory/pruner.js:116: const fallbackSummary = group.map((item) => item.summary || item.content).filter(Boolean).join(' ').slice(0, 280);
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torch/src/services/memory/pruner.js:184: lowImportanceThreshold: options.lowImportanceThreshold ?? 0.35,
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torch/src/services/memory/pruner.js:185: deleteImportanceThreshold: options.deleteImportanceThreshold ?? 0.12,
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torch/src/services/memory/summarizer.js:64: : 0.25;
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torch/src/services/memory/summarizer.js:72: return { summary: bounded, importance: 0.25 };
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torch/src/services/memory/summarizer.js:89: return overlap / summaryTokens.length >= 0.35;
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torch/src/services/memory/summarizer.js:116: const maxSummaryLength = options.maxSummaryLength ?? 280;
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torch/src/services/memory/ingestor.js:6:const WINDOW_BUCKET_MS = 60_000;
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torch/src/services/memory/ingestor.js:37: : 300;
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torch/src/services/memory/ingestor.js:92:function compactContextExcerpt(text, maxChars = 280) {
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torch/src/services/memory/retriever.js:2: w_sim: 0.6,
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torch/src/services/memory/retriever.js:3: w_imp: 0.25,
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torch/src/services/memory/retriever.js:4: w_rec: 0.15,
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torch/src/services/memory/retriever.js:5: pinBoost: 0.15,
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torch/src/services/memory/retriever.js:8:const DEFAULT_RECENCY_HALF_LIFE_MS = 1000 * 60 * 60 * 24 * 7;
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torch/src/services/memory/formatter.js:3:const DEFAULT_TOKEN_BUDGET = 1000;
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torch/src/services/memory/cache.js:2:const DEFAULT_MAX_EVENTS_PER_NAMESPACE = 200;
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torch/src/services/memory/cache.js:3:const DEFAULT_MAX_TOTAL_EVENTS = 5000;
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torch/src/services/memory/cache.js:153: setRuntimeEvent(scope, event, ttlMs = 60_000) {
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torch/src/services/memory/cache.js:157: const safeTtlMs = Number.isFinite(ttlMs) && ttlMs > 0 ? ttlMs : 60_000;
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torch/src/services/memory/scheduler.js:2:const MINUTE_MS = 60_000;
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torch/src/services/memory/scheduler.js:3:const HOUR_MS = 60 * MINUTE_MS;
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torch/src/services/memory/scheduler.js:4:const DAY_MS = 24 * HOUR_MS;
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