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Covers what it does, the head/tail protection, the cursor and rolling summary, defrag, how the session DB is kept in step, and the failure paths. States the tradeoff up front: compression cost is amortized across turns, at the price of older detail becoming summarized earlier in a session than batch-only compaction would. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
156 lines
6.8 KiB
Markdown
156 lines
6.8 KiB
Markdown
# Micro-compaction
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**A way to amortize the cost of compression.**
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Long conversations eventually outgrow the model's context window, and something
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has to be thrown away or summarized. Hermes has always done this in one batch:
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when the transcript crosses a threshold, the session stops, a large chunk of the
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middle is summarized in a single call, and the conversation resumes. That works,
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but the whole bill comes due at once — one visible pause, one big summarization
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request, at whatever moment you happened to cross the line.
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Micro-compaction pays the same bill in instalments. After each completed turn,
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Hermes folds the single oldest un-absorbed exchange into a running summary. The
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work is the same work; it just happens continuously, in small pieces, during the
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idle moment after a response instead of all at once in the middle of your
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session.
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**The tradeoff is that knowledge gets a little earlier than you may be used to.**
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Because compaction is always running, older parts of the conversation become
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summaries sooner than they would under batch compaction — which leaves
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everything verbatim until the window actually fills. Detail from earlier in the
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session turns second-hand faster. You trade some of that fidelity for never
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eating one long stall, and for a context window that stays consistently smaller
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rather than sawtoothing up to the threshold and back.
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---
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## What it does
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After every turn that finishes normally, `finalize_turn` asks the context
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compressor to absorb **one** exchange:
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1. Find the oldest exchange that hasn't been summarized yet.
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2. Send just that exchange, plus the current running summary, to the auxiliary
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summarization model.
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3. Replace those messages in the transcript with a single summary marker
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carrying the updated running summary.
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One exchange per turn. The per-turn cost stays bounded no matter how long the
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conversation gets.
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An **exchange** is an assistant message together with any tool results that
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followed it. In tool-heavy work that's where the bulk of the tokens live — a
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file read or a command's output dwarfs the surrounding prose — which is why
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absorbing one exchange at a time is worth doing at all.
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## What it never touches
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Two regions are protected and stay verbatim:
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- **The head** — the system prompt and the opening messages, so the session's
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founding instructions are never paraphrased.
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- **The tail** — a token-budgeted window of the most recent messages, so
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everything that's immediately relevant is still there in full.
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Micro-compaction only ever works in the middle, between those two.
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## How it works
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### The cursor
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The compressor keeps a cursor: the index of the first message not yet absorbed.
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Each successful pass advances it past the exchange it just summarized.
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If that in-memory cursor is missing or out of range — a fresh process, a resumed
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session — it's recovered by scanning the transcript for the last summary marker
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and resuming just after it. The transcript itself is the source of truth, so
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resuming a session doesn't re-summarize work already done.
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### The rolling summary
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Rather than keeping a pile of per-exchange summaries, there is exactly one
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running summary that each new exchange is merged into. The summarizer is asked
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to fold in the new material's decisions, requirements, file paths and open
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questions, drop details that are no longer relevant, and preserve the existing
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structure. It's also explicitly instructed to replace any credentials it
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encounters with `[REDACTED]`.
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Because that summary is cumulative, only the newest marker is kept in the
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transcript. Earlier markers are strictly redundant — the current summary already
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contains everything they held — so they're dropped as they're superseded. This
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matters more than it sounds: leaving them in place stacks near-duplicate copies
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of the same text, each with its own heading and end-marker scaffolding, and the
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transcript grows on every turn instead of shrinking.
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### Defrag
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Merge into a summary often enough and it gets baggy — repetitive, and larger
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than the material justifies. When the running summary crosses a token threshold
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(2000 by default), the next pass **defrags**: it re-summarizes the summary and
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whatever middle remains in one shot, replacing it with a fresh compact version
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and advancing the cursor to the tail.
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This is still much cheaper than full batch compaction. It only ever processes the
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summary plus the un-absorbed middle, never the whole transcript.
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### Staying in step with the session database
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The in-memory splice alone isn't enough. Hermes's normal session flush is
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append-only, so the original rows would stay marked active and a resume would
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load *both* the summary and the messages it replaced — putting the session
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straight over the context limit.
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So each pass also calls `archive_and_compact`, which atomically soft-archives the
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active rows and inserts the compacted set. The messages are then stamped as
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already-persisted so the append-only flush that follows skips them. If that
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database step fails, it's logged and the session continues; the resume would
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double-load until the next batch compression cleans up.
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### When the summarizer fails
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A summarization call can fail — the auxiliary model is unreachable, out of quota,
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or the exchange itself is somehow unsummarizable. The transcript is left
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untouched and the failure is counted.
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If the *same* exchange fails three times in a row, the cursor is advanced past it
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anyway. Without that, one bad exchange would be retried on every single turn
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forever. Those skipped messages stay in the transcript and get picked up by the
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next defrag or batch compaction.
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## Interaction with batch compaction
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Micro-compaction doesn't replace batch compaction — it defers it. Threshold-based
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compaction is still there and still fires if the window fills anyway, and its
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summary markers are the same format, so the two interoperate. In practice
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micro-compaction keeps the transcript far enough below the threshold that the
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batch path fires much less often.
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## Configuration
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```yaml
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compression:
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micro_compact: true # default
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```
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Set it to `false` to disable micro-compaction and return to batch-only
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compaction. Everything else about compression is unchanged.
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## What you'll see in the logs
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```
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Micro-compaction: 37 -> 36 messages
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Micro-compaction defrag: rolling summary re-summarized (1843 chars)
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Micro-compaction: skipping exchange at cursor 12 after 3 consecutive failures
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```
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Message counts move by small amounts — that's the point. The token count is where
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the effect shows: absorbing one tool-heavy exchange can drop hundreds of tokens
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while changing the message count by one or two.
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## Failure behaviour
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Micro-compaction is best-effort throughout. The call in `finalize_turn` is wrapped
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so that any exception is logged and swallowed — a failure returns the conversation
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unchanged and the turn completes normally. It can degrade, but it shouldn't be
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able to break a session.
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