A fork subagent seeds its child session with a prefix of the parent's log, and that seed becomes the child's persisted log — so a fork child's .jsonl begins with the PARENT's events, including the parent's assistant/chunk events. The snapshot replay harness derived a child's script from its whole log, which would replay the parent's recorded responses as the child's model calls. Spawn-only scenarios never hit it, but a fork snapshot would mis-route silently. Record the seed boundary and skip the inherited prefix at replay: - SessionHeader gains an optional `seedLength` (how many leading events were inherited via a seed), threaded through CreateSessionOptions/CreateAgentOptions meta and stamped by the fork backend (= seeded-prefix length; absent for spawn). It is EXPLICIT, never inferred from seed.length: a resume seeds the whole stored log, so the resume path passes the persisted boundary back. - Both persistence backends round-trip it: JSONL header line, SQLite seed_length column. The SQLite table change bumps SCHEMA_VERSION 2->3; per the pre-release stance the backend rejects an older user_version on open with NO migration. - llm-replay's parseSessionHeader reads seedLength and loadSessionScripts derives a child script from events AFTER the boundary. seedLength is 0 for spawn, so spawn replay is byte-for-byte unchanged. Closes the routing-correctness gap the per-session snapshot replay RFC under- stated; a recorded fork scenario remains a future addition but now derives correctly. RFC: docs/rfc/implemented/testing/2026-06-22-fork-child-replay-seed-boundary.md. Regression coverage: a fork child fixture whose seeded prefix carries a parent chunk (derived script must exclude it, proven red without the slice); a seedLength persistence round-trip through the shared coordinator contract (both backends); the fork backend stamping it; resume preserving it from the persisted header.
@deepseek-ai/dsh-session-persistence-sqlite
A SQLite durable session-persistence backend — a second SessionPersistence implementation (session persistence), built to validate that the abstract seam and the shared runPersistenceContract suite are genuinely backend-agnostic. It satisfies the SAME contract as dsh-session-persistence-jsonl (append-only, contiguous-seq, lazy materialization, interrupted-turn close on load), expressed over node:sqlite rows instead of file bytes.
TODO: this backend talks to
node:sqlitedirectly. If a cordis database service (cordis/db/ a@cordisjsSQL driver plugin) is adopted, route through that instead of holding a rawDatabaseSynchere — the contract surface (SessionPersistence) would not change, only the storage driver.
Storage model
Each SessionEvent maps 1:1 onto a row in an events table (session_id, seq, type, time, data) — data is the event payload as JSON text, so the row shape is the event verbatim (including assistant/chunk, keeping seq contiguous). Out-of-log metadata (SessionHeader) lives in a sessions row. A sessions row is written only by the first append — its existence is the lazy-materialization signal (list reports exactly the sessions that have a row), so no separate column is needed.
The repo targets Node ≥ 24 (the root engines field), which includes the stable node:sqlite module. The database opens with foreign_keys = ON (so ON DELETE CASCADE drops a session's events with its row) and journal_mode = WAL. The table-layout version is stored in PRAGMA user_version and checked on open: a fresh database is stamped with the current SCHEMA_VERSION; a database written by any other, incompatible build (a non-current user_version, older or newer) is rejected rather than opened against an unknown layout — there is no migration (unreleased software).
Contract semantics over rows
- Append = a transaction.
appendrunsBEGIN/COMMITaround the batch: it materializes thesessionsrow (if still lazy) and INSERTs every event, asserting the contiguous-seq contract first (the first event'sseqmust equal the stored next-seq). A mid-batch failure (a UNIQUE violation on a duplicated seq) rolls back entirely, so the stored log and the in-memory cursor stay consistent. (load()already balanced the stored log, soappendnever has to repair a crash tail.) - Lazy materialization.
create()records intent in memory only — no row is written until the firstappend. A created-but-never-appended session has nosessionsrow, so it is absent fromlist()(which reports exactly the sessions that have a row). - Interrupted-turn close on load.
load()reads every stored event ordered byseqand finds the longest seq-contiguous, parseable prefix — INCLUDING the real events of an interrupted final turn after the lastturn/end(the loop only flushes atturn/end, so a process killed mid-turn leaves real, fully-written rows past it). A single turn can be huge in a long-horizon task, so those events are preserved, never truncated:load()CLOSES the orphaned turn by durably appending the minimal synthetic boundary events (an errortool/resultfor every assistant tool call left unanswered, astep/endif a step was open, then aturn/endcarrying{ kind: 'interrupted' }), inside one transaction that also DELETEs any never-fully-written torn tail row.load()is therefore mutating — after it the stored rows are balanced and the cursor is truthful, so the nextappendcontinues cleanly. The boundary (lastturn/end, torn-tail detection) is computed from theseq/typecolumns so a malformeddatain a torn tail row is never parsed (discarded, not unloadable). A parse error orseqgap inside the committed region (at or before the last realturn/end) makes the session unloadable. A session whose only turn never closed keeps its metadata row and stays present inlist()— the same as the JSONL backend, whose file likewise survives a first append that never reachedturn/end.
Configuration (schemastery)
interface Config {
path: string // SQLite database file path, or ':memory:' for an in-process DB
}
Write path
Like the JSONL backend, the plugin also installs the session/event → buffer → session/flush drain: it snapshots each event when buffered (the live session.events object is mutable), persists a fork's seed once on session/created, keeps a per-session write cursor so a resumed session never re-appends stored events, and seeds existing live sessions on apply (HMR does not replay session/created). Dispose awaits every in-flight init + final drain and then closes the database, so no write lands after teardown.