refactor: eliminate synchronous I/O and process spawn bottlenecks#3
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This was referenced May 25, 2026
vilmire
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…s file, pending guard, cooldown sweep appendRemoteLedgerEntries (#1): - dedup now uses tail:1000 instead of full O(n) readLedgerEntries; P2P replication is cursor-based so duplicates appear in the recent tail Archive rotation (#4): - compactLedger now rotates .archive.jsonl to .archive.N.jsonl (max 5) when the archive exceeds 50MB before appending new entries Worker JSON extraction validation (#5): - extractJsonObjectFromSummary now requires at least one mesh worker result field (changedFiles|errors|gitStatus|nextAction|validationResults) before accepting a JSON block; prevents false positives from tool/log JSON in the final summary Archived counts file (#6): - compactLedger writes cumulative counts to <meshId>.archived-counts.json - getLedgerSummary reads and merges archived counts so taskCompleted/Failed/ Stalled and totalEntries are accurate even after compaction Pending events size guard (#2): - queuePendingMeshCoordinatorEvent trims the pending-events.jsonl to the last 50 events when it exceeds 100KB before appending; prevents unbounded growth when coordinator stops draining autoLaunchCooldownUntil cleanup (#3): - sweepExpiredCooldowns() removes expired entries from the cooldown Map whenever a new cooldown is set; inline check at read site also cleans up the checked key; prevents long-lived daemon Map accumulation Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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…ntext tail bound Atomic drain (#1): - drainPendingMeshCoordinatorEvents: rename-then-read with atomicDrainFile() so concurrent coordinators cannot both consume the same pending events file. renameSync is atomic on POSIX: only one caller wins; the other returns null and gets an empty result, eliminating duplicate event delivery. Ledger read cache (#3): - readLedgerEntries: 100ms TTL in-process cache via getCachedRawEntries(). Absorbs repeated reads within a single event-processing burst (agent:stopped triggers 4+ ledger reads for the same file in one synchronous cycle). - invalidateLedgerCache() called on every write: appendLedgerEntry, appendRemoteLedgerEntries, compactLedger — ensures readers always see fresh data after any mutation. - Cache is keyed by meshId (not opts), with filters applied to the cached slice. getSessionRecoveryContext tail bound (#2): - Bounded to tail:500 instead of full O(n) scan. task_dispatched is never archived (ARCHIVABLE_KINDS excludes it), so dispatch history is always present in the active file. The 30-min failure window means consecutiveNode- Failures never needs deep history. tail:500 covers all realistic use cases. Tests: 7 new tests (4 cache, 3 atomic drain), all 92 mesh tests pass. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Phase 1: Async Batch Writer, CPU Lock fix, and Sync API elimination.