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@henrychien/agent-compaction

v0.1.1

Published

Shared client-side conversation **flush + summary** compaction for the agent chat surfaces (TUI, Excel taskpane, web). Pure, browser-safe ESM — no gateway, no IO. Each surface supplies a `summarizeFn` that runs the two compaction turns (memory-flush, then

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@henrychien/agent-compaction

Shared client-side conversation flush + summary compaction for the agent chat surfaces (TUI, Excel taskpane, web). Pure, browser-safe ESM — no gateway, no IO. Each surface supplies a summarizeFn that runs the two compaction turns (memory-flush, then summary) on an isolated session.

Single source of truth for the flush/summary prompts and the needsCompaction / compactHistory logic, so every surface behaves identically. The Telegram bot keeps its own Python copy, kept prompt-aligned by a test.

API

  • FLUSH_PROMPT, SUMMARY_PROMPT, SUMMARY_PREFIX, SUMMARY_ACK — canonical prompt text.
  • DEFAULT_COMPACTION_OPTS — { tokenThreshold: 100000, messageThreshold: 40, keepRecent: 10 }.
  • estimateTokens(messages) — crude content.length / 4 estimate.
  • needsCompaction(messages, opts?) — token- or message-count trigger.
  • buildFlushMessages(messages, opts?) / buildCompactionMessages(messages, opts?) — build the flush / summary turn prompt.
  • compactHistory(messages, summarizeFn, opts?) — returns [summary, ack, ...recent], preserving the original retained-tail objects (generic over the message type).

All functions accept the same opts ({ tokenThreshold, messageThreshold, keepRecent }); pass one object per compaction cycle.

Design + rollout: docs/design/completed/compaction-shared-module-impl-plan.md and docs/design/completed/compaction-architecture-map.md in the AI-excel-addin repo.