dsh-session-projection-cache/packages/session/session-projection-cache官方

English | 中文

The persisted projection cache (ctx.sessionProjectionCache): durable checkpoints of every registered projection unit's state, one record per session on the domain data form (session_projcache domain — the shipped json backend lands it beside workspace.json under the configured storage root). Design authority: the session-projection RFC (persisted projection cache section).

A stored row (key → {ver, seq, val}) is a fold shortcut, never an authority: possibly stale (seq says exactly how stale) but never wrong. Consequences the implementation commits to:

• Every background write is fail-soft. A failed durable write logs a warning and keeps the cache stale; the next write or cold read self-heals. A crash between writes costs a longer tail replay, never a wrong value.
• A ver mismatch against the live unit's stateVersion discards, never migrates. A unit bump invalidates its rows at read time; the key refolds from the log.
• Whole-record writes. Each write replaces the session's full checkpoint (the registry cut is always complete), snapshotted through the lossless-JSON boundary — a unit state violating the plain-JSON contract fails loud.
• Records are bound to a log lifecycle, not just an id. Each record stores the header identity (createdAt, cwd) it was folded from; every read validates it (the live or stored header is the witness) before accepting a row, so a deleted-then-recreated id or a persistence store swapped under a surviving cache discards the unrelated record instead of seeding phantom values.
• The log leads, the cache follows. A live checkpoint flushes the session's buffered events durably BEFORE the cache row lands, so a crash can leave the cache behind the log (a longer tail replay) but never ahead of it.

Write policy

Two mandatory points, throttled in between:

Both Config fields are required (no defaults): flush cadence is a deployment choice with no universally correct value, stated in cordis.yml.

Listing read (cachedSnapshot(meta))

The zero-I/O rung: whole values viewed straight from the identity-matching stored record (version-matching keys only), returned as a {asOfSeq, values} cut — asOfSeq is the lowest served-row watermark, so a client seeding its per-session value store under higher-seq-wins can never let a stale list block overwrite a newer push frame. undefined when no usable record exists (unknown id, unrelated lifecycle, or no version-matching rows); the api-proxy list carrier turns that into an absent column.

Cold read (coldSnapshot(id, signal?))

The read ladder, zero full-log load on the happy path: cached rows → sessionProjections.restoreFloor (anchored one event below the lowest usable watermark) → persistence readFrom(id, floor) → sessionProjections.restore → fail-soft write-back of the refreshed rows. The anchor makes a shrunk log (crash-repair truncation) provable: an overreaching row triggers exactly one full re-read from seq 0 instead of serving a ghost value. No registered units serve {asOfSeq: -1, values: {}} without touching persistence; a session with no persisted log rejects with the seam's not found.

write(session) is the synchronous-cut checkpoint both mandatory points use; carriers may call it directly (not fail-soft — the fail-soft wrappers own containment).

Composition

- id: session-projection-cache
  name: '@deepseek-ai/dsh-session-projection-cache'
  config:
    writeEveryEvents: 200
    writeIntervalMs: 5000

Injects storageDomain, sessionProjections, sessionPersistence, sessions. Without this row the projection system runs live-only (watermark cache; cold reads fall back to full log loads wherever a carrier implements them).

Model Experience

None, as the cache only persists and restores host-side read models of already-logged session state and touches no prompt, message, schema, stream, or tool result.

KV Cache effect

None; the cache never assembles or sends provider requests.

Known Limitations and Deferred Work

• No eviction or retention surface — records accumulate per session; pruning stored checkpoints is out-of-band maintenance, same stance as session persistence itself.
• Interval throttle is per-session coarse — the timer arms at the first dirty event after a clean write; a steady sub-threshold trickle writes once per interval, not a sliding window.
• coldSnapshot reads are not deduplicated — two concurrent cold reads of one session each run the ladder; last write-back wins (rows are equivalent), acceptable for listing-scale call rates.