Use when an app needs TanStack AI chat persistence on a database with no dedicated recipe — raw Postgres (pg/postgres.js), Kysely, node:sqlite, MongoDB, Supabase, Redis. Writes a chat-persistence.ts against the app's existing client, covering the four stores, the idempotency invariants, and the conformance gate. Route to the Drizzle, Prisma, or Cloudflare skills instead when one of those matches.
The deliverable is one file in the app — src/lib/chat-persistence.ts —
exporting a ChatPersistence built from the database client the app already
has. Plus whatever DDL that database needs, added through the app's existing
migration flow.
Do not create a package, a second client, or a migration runner.
Route first. If the app already runs one of these, stop and use that skill — it has the driver-specific code:
| App runs | Use |
|---|---|
| Drizzle ORM (any dialect) | ai-persistence/build-drizzle-adapter |
| Prisma | ai-persistence/build-prisma-adapter |
| Cloudflare Workers + D1 | ai-persistence/build-cloudflare-adapter |
Everything else lands here. The full contracts and their invariants are in
ai-persistence/stores and docs/persistence/store-reference.md; the
complete worked node:sqlite walkthrough is
docs/persistence/build-your-own-chat-adapter.md and
examples/ts-react-chat/src/lib/sqlite-persistence.ts.
| Find | Where to look | What it decides |
|---|---|---|
| The client | src/db.ts, src/lib/db.ts, src/server/db.ts | What the file imports — never construct a second pool |
| Client lifetime | module singleton vs per-request factory (getDb(), bindings) | export const chatPersistence vs export function |
| Migration flow | migrations/, drizzle/, supabase/migrations/, an ORM CLI | How the DDL gets applied — use theirs, add nothing new |
| Naming conventions | existing tables/collections | Prefix (chat_*) so nothing collides |
| JSON support | jsonb (Postgres), json (MySQL 5.7+), text (SQLite) | Whether mappers stringify/parse |
| Import alias | tsconfig.json paths | @/db, ~/db, #/db, or a relative path |
Four logical records. Whatever the engine, keep these keys — the store methods look records up by exactly these:
| Record | Key | Fields |
|---|---|---|
| thread | threadId | messages (array, full transcript) |
| run | runId | threadId, status, startedAt, finishedAt?, error?, usage?, sandboxKey?, detachedSince?, cancelRequested?, driverEpoch? |
| interrupt | interruptId | runId, threadId, status, requestedAt, resolvedAt?, payload, response? |
| metadata | (namespace, key) | value |
number) in records. Store them
however the engine prefers and convert in the mapper.(namespace, key) is a composite key. Never join with a separator —
('a:b','c') and ('a','b:c') must stay distinct records, and the
conformance suite checks it.runs(threadId, status), runs(threadId, startedAt), and
interrupts(threadId, requestedAt) for the listing paths. If the backend
implements listReclaimable, also index runs(status, detachedSince); that
is the query it runs.run.error is a structured RunError ({ message: string, code?: string }),
not a bare string. message is the provider's prose; code is the stable,
machine-branchable classification an operator filters and groups by. In a
SQL-backed table, store it as two columns (error, error_code) rather than
one JSON blob, moved together in update so a later code-less failure can
never leave a stale code from an earlier one behind. run.status is one of
'running' | 'interrupted' | 'completed' | 'failed' | 'aborted';
'interrupted' is a pause, not terminal, and only
'completed' | 'failed' | 'aborted' are terminal.userId, audit columns) as long as they
are nullable or defaulted. The stores never read columns they do not know
about.Getting one of these wrong is the usual source of stuck approvals and wiped history. They are engine-independent:
saveThread is a full overwrite, never an append. The argument is the
complete authoritative transcript.loadThread returns [] for an unknown thread, never null.createOrResume is insert-if-absent — an existing runId comes back
unchanged, ignoring the new field values. Resume and double-submit depend
on it. After a racy insert, re-read rather than trusting your own write.runs.update on an unknown id is a silent no-op — it must not throw and
must not insert. (Drivers that throw on zero rows affected need the
updateMany-style call, not the update-one-or-throw call.)runs.update distinguishes "field omitted" from "field explicitly
cleared" for the durable-run fields (sandboxKey, detachedSince,
cancelRequested, driverEpoch). A reattach clears detachedSince by
passing it explicitly as undefined — update(runId, { detachedSince: undefined })
— and that must write NULL, not be silently dropped. Check
'detachedSince' in patch, never patch.detachedSince !== undefined; the
latter cannot tell a clear from an omission and leaves every reattached run
looking permanently detached to the reaper. Same rule for
cancelRequested (false is a real value, not "unset") and for
sandboxKey / driverEpoch. See
examples/ts-react-chat/src/lib/sqlite-persistence.ts for the pattern.interrupts.create is insert-if-absent — never clobber a resolved
interrupt back to pending. Every list* is ordered by requestedAt
ascending.runs.listReclaimable uses an inclusive cutoff (if implemented):
status === 'running' AND detachedSince <= now - ttlMs. It is a query, not
automatic reclamation: reapDetachedRuns from @tanstack/ai-sandbox is the
sweep that consumes it, and the application schedules that sweep. A store
without this method cannot be reaped. runs.findActiveRun is required;
runs.listByThread / runs.listReclaimable are optional: implement only
what the app needs and leave the rest off the object.Row mappers omit absent optionals
(...(row.sandbox_key != null ? { sandboxKey: row.sandbox_key } : {})) so
records compare cleanly against the reference in-memory backend. For a
two-column error/error_code layout, the mapper is
...(row.error != null ? { error: { message: row.error, ...(row.error_code != null ? { code: row.error_code } : {}) } } : {}).
src/lib/chat-persistence.tsFour factories and one assembly. Postgres via pg shown here; the shape is the
same for any driver.
import { defineAIPersistence } from '@tanstack/ai-persistence'
import type { Pool } from 'pg'
import type {
ChatPersistence,
MessageStore,
RunStore,
} from '@tanstack/ai-persistence'
import { pool } from '@/db'
function createMessageStore(db: Pool): MessageStore {
return {
async loadThread(threadId) {
const { rows } = await db.query(
'SELECT messages_json FROM chat_threads WHERE thread_id = $1',
[threadId],
)
return rows[0]?.messages_json ?? []
},
// Full overwrite — `messages` is the complete authoritative transcript.
async saveThread(threadId, messages) {
await db.query(
`INSERT INTO chat_threads (thread_id, messages_json, updated_at)
VALUES ($1, $2, $3)
ON CONFLICT (thread_id)
DO UPDATE SET messages_json = EXCLUDED.messages_json,
updated_at = EXCLUDED.updated_at`,
[threadId, JSON.stringify(messages), Date.now()],
)
},
}
}
function createRunStore(db: Pool): RunStore {
async function get(runId: string) {
const { rows } = await db.query(
'SELECT * FROM chat_runs WHERE run_id = $1',
[runId],
)
return rows[0] ? mapRun(rows[0]) : null
}
return {
get,
// Idempotent: an existing runId is returned untouched.
async createOrResume({ runId, threadId, startedAt, status }) {
const existing = await get(runId)
if (existing) return existing
await db.query(
`INSERT INTO chat_runs (run_id, thread_id, status, started_at)
VALUES ($1, $2, $3, $4)
ON CONFLICT (run_id) DO NOTHING`,
[runId, threadId, status ?? 'running', startedAt],
)
// Re-read: a concurrent createOrResume may have won the race, and that
// row is the authoritative one.
const stored = await get(runId)
return (
stored ?? { runId, threadId, status: status ?? 'running', startedAt }
)
},
// ... update (no-op on unknown id; sandboxKey/detachedSince/
// cancelRequested/driverEpoch are checked with `'field' in patch`, not
// `patch.field !== undefined`, so an explicit `undefined` (a clear) still
// writes NULL instead of being silently dropped — status/finishedAt/usage
// can use the simpler `!== undefined` check since they are never
// explicitly cleared; writes patch.error as two columns,
// error = patch.error.message and error_code = patch.error.code ?? null,
// together in the same call),
// findActiveRun (latest 'running', required), listByThread (ascending
// by startedAt, optional), listReclaimable (status = 'running' AND
// detachedSince <= now - ttlMs, inclusive cutoff, optional)
}
}
/** The four chat state stores backed by the app's database. */
export const chatPersistence: ChatPersistence = defineAIPersistence({
stores: {
messages: createMessageStore(pool),
runs: createRunStore(pool),
interrupts: createInterruptStore(pool),
metadata: createMetadataStore(pool),
},
})Annotate ChatPersistence — bare AIPersistence is the all-optional bag and
withPersistence rejects it. There is no locks store: stores accepts only
messages, runs, interrupts, metadata, and anything else throws
Unknown AIPersistence store key. Coordination is wired separately with
withLocks (see ai-core/locks).
If the client is per-request (Workers bindings, request-scoped transactions),
export a chatPersistence() factory instead of a const and call it inside the
handler.
Postgres (pg, postgres.js, Neon, Supabase) — jsonb columns round-trip
objects, so skip the JSON.stringify on read paths (pg parses jsonb for
you; check what the driver returns before assuming). bigint columns come back
as strings in pg — use bigint with an explicit Number() in the mapper, or
store epoch ms in a double precision/bigint and convert once. Composite key
is PRIMARY KEY (namespace, key).
Kysely — define the four tables in the app's Database interface, then the
stores are db.insertInto('chat_runs').values(...).onConflict((oc) => oc.column('run_id').doNothing())
and .executeTakeFirst(). updateTable(...).execute() is already a no-op on
zero matches, so invariant 4 comes free.
node:sqlite / better-sqlite3 — the complete implementation is in the guide
and in examples/ts-react-chat/src/lib/sqlite-persistence.ts. Prepared
statements at factory scope, INSERT ... ON CONFLICT, JSON as text, epoch ms
as integer. Wrap sync calls in async methods; the contracts are promise-based.
MongoDB — one collection per record type, _id set to the natural key
(threadId, runId, interruptId). For metadata, use _id: { namespace, key }
— a compound _id subdocument, or a unique index on { namespace, key } — never
a delimiter-joined string. Invariant: ('a:b','c') and ('a','b:c') must stay
distinct records, and the conformance suite checks it.
createOrResume is updateOne({ _id }, { $setOnInsert: doc }, { upsert: true })
then a findOne — $setOnInsert is the insert-if-absent primitive. Guard the
E11000 duplicate-key race and re-read. list* need .sort({ requestedAt: 1 }).
Redis / Upstash — workable for metadata and excellent for LockStore, but
think before putting interrupts there: the listings need ordered secondary
indexes you have to maintain by hand (a sorted set per thread and per run,
scored by requestedAt). A common split is Postgres for messages/runs/
interrupts and Redis for locks; compose them with composePersistence.
Anything else — you only need the seven invariants above. The core never inspects your storage.
You rarely need all four stores at once. Implement what you own and fill the rest from another base:
import { composePersistence, memoryPersistence } from '@tanstack/ai-persistence'
import { messages, runs } from './my-stores'
export const chatPersistence = composePersistence(memoryPersistence(), {
overrides: { messages, runs },
})Only listed keys move. There is no cross-store transaction — if messages
lives in Postgres and interrupts in Redis, a write touching both is two
writes. The idempotency invariants are exactly what make those retries safe.
import {
chat,
chatParamsFromRequest,
toServerSentEventsResponse,
} from '@tanstack/ai'
import { openaiText } from '@tanstack/ai-openai'
import { withPersistence } from '@tanstack/ai-persistence'
import { chatPersistence } from '@/lib/chat-persistence'
export async function POST(request: Request) {
const params = await chatParamsFromRequest(request)
const stream = chat({
adapter: openaiText('gpt-5.5'),
messages: params.messages,
threadId: params.threadId,
runId: params.runId,
...(params.resume ? { resume: params.resume } : {}),
middleware: [withPersistence(chatPersistence)],
})
return toServerSentEventsResponse(stream)
}threadId is a bare string to the stores. Authorize thread access at the
route — derive the user from the session, never trust a client-supplied id.
This matters more here than anywhere else: there is no reference driver to compare against, so the testkit is the only thing standing between a subtle idempotency bug and stuck approvals in production.
import { runPersistenceConformance } from '@tanstack/ai-persistence/testkit'
import { chatPersistence } from '../src/lib/chat-persistence'
runPersistenceConformance('app-custom', () => chatPersistence, {
skip: ['generationRuns', 'artifacts', 'blobs'],
})Point it at a throwaway database and reset between runs. The suite covers all
seven stores, so declare every intentional omission — a chat adapter skips the
generation half above, and adds e.g. 'metadata' if it drops that too. skip
never accepts 'locks', which is not a store.
If your recipe leaves an optional runs method (listByThread/
listReclaimable) unimplemented, declare it separately with skipMethods, e.g.
{ skipMethods: ['runs.listByThread'] }. An omitted method that is not declared
fails the suite instead of silently passing. findActiveRun is not in that
set — it is required, so there is nothing to declare.
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