Locks (coordination — not persistence)
Dependency note: This skill builds on ai-core and ai-core/middleware.
withLocksis a ChatMiddleware that provides a capability. Locks are not part ofAIPersistence.storesand are not composed withcomposePersistence— they ship in@tanstack/ai, independent of@tanstack/ai-persistence.
Why separate?
State stores answer "what is durable chat data?"
Locks answer "who may run this critical section right now?"
withPersistence does not automatically lock a whole turn. Take a
per-thread (or other) lock yourself when multi-writer races matter.
Wire locks
tsimport { chat } from '@tanstack/ai' import { withLocks, InMemoryLockStore } from '@tanstack/ai/locks' import { openaiText } from '@tanstack/ai-openai' const messages = [{ role: 'user' as const, content: 'Hello' }] chat({ adapter: openaiText('gpt-5.6'), messages, middleware: [ withLocks(new InMemoryLockStore()), // single process ], })
Alongside persistence — optional, locks do not require it:
tsimport { chat } from '@tanstack/ai' import { withLocks, InMemoryLockStore } from '@tanstack/ai/locks' import { openaiText } from '@tanstack/ai-openai' import { memoryPersistence, withPersistence } from '@tanstack/ai-persistence' const persistence = memoryPersistence() const messages = [{ role: 'user' as const, content: 'Hello' }] chat({ adapter: openaiText('gpt-5.6'), messages, middleware: [ withPersistence(persistence), withLocks(new InMemoryLockStore()), ], })
withLocks provides LocksCapability for downstream middleware (e.g.
sandbox). Order: usually state first, locks alongside or after depending on
who consumes the capability.
The contract
tsinterface LockStore { withLock<T>(key: string, fn: (signal: AbortSignal) => Promise<T>): Promise<T> }
InMemoryLockStore ships in @tanstack/ai/locks: a per-key promise chain,
correct within a single process only. Multi-instance deployments need a
distributed implementation — you write it. The Cloudflare Durable Object recipe
is in ai-persistence/build-cloudflare-adapter (@tanstack/ai-persistence).
Type your own store with defineLock (autocomplete, no : LockStore
annotation), then hand it to withLocks. Acquire the key, run fn, release when
fn settles:
tsimport { chat } from '@tanstack/ai' import { defineLock, withLocks } from '@tanstack/ai/locks' import { openaiText } from '@tanstack/ai-openai' import { acquire } from './my-lock-backend' const locks = defineLock({ async withLock(key, fn) { const { release, signal } = await acquire(key) try { return await fn(signal) } finally { release() } }, }) const messages = [{ role: 'user' as const, content: 'Hello' }] chat({ adapter: openaiText('gpt-5.6'), messages, middleware: [withLocks(locks)], })
Lease semantics
A good LockStore:
- Serializes owners per key,
- Uses leases (or equivalent) so a crashed owner cannot block forever,
- Passes an
AbortSignalinto the critical section viawithLock; when the lease is lost, abort so work stops starting external mutations.
Callbacks must honor the signal and pass it to cancellable dependencies.
InMemoryLockStore never aborts its signal — within one process, ownership
cannot be lost.
Capability identity
The 'locks' capability token lives in @tanstack/ai/locks. Capability identity
is by object reference, so one shared token means a withLocks in the chain
reaches withSandbox automatically.
Common mistakes
HIGH: Importing locks from @tanstack/ai-persistence
They are not exported there. Use @tanstack/ai.
HIGH: Putting locks on AIPersistence.stores
Not supported. stores accepts only messages, runs, interrupts,
metadata — never locks. Use withLocks.
HIGH: Passing locks to composePersistence overrides
Same rejection, at the override layer. Locks are not state.
HIGH: Passing 'locks' to the conformance testkit's skip
skip accepts only chat state store keys. The suite does not cover locks
at all — test lease expiry and abort separately.
HIGH: InMemoryLockStore across multiple processes
No mutual exclusion between machines — use a distributed lock store.
MEDIUM: Ignoring lease abort
Continuing work after losing the lease races other owners.
Cross-references
- See also: ai-core/middleware/SKILL.md -- the middleware chain and capability plumbing
- See also:
@tanstack/ai-persistenceskills (skills/ai-persistence/SKILL.mdin that package) --ai-persistence/server(state middleware) andai-persistence/build-cloudflare-adapter(Durable Object lock recipe)

