website/src/content/docs/actors/queues.mdx
Queues are commonly referred to as "mailboxes" in other actor frameworks.
For a worked queue-driven pattern, see the cookbook: AI Agent.
This is the default pattern. Define queue names in queues, process them in run, and publish from the client with handle.send(...).
Use this when you want explicit completion/ack semantics but do not need to return data.
message.complete() resolves a sender waiting on wait: true (or enqueueAndWait). It does not change durability: messages are removed from queue storage when they are received, not when they are completed.message.complete(), the message is not redelivered, and any waiting sender times out instead of receiving a completion.status: "timedOut" means sender timeout elapsed before message.complete(...).Use this when the sender needs data back from queued work.
<CodeGroup> <CodeSnippet file="examples/docs/actors-queues/request-reply/index.ts" title="index.ts" /> <CodeSnippet file="examples/docs/actors-queues/request-reply/client.ts" title="client.ts" /> </CodeGroup>Queueing is useful from inside actor logic too, not just from clients.
c.queue.send(...) from other parts of run when needed.c.queue.send(...) confirms durable enqueue. It does not wait for processing to finish.You can define queue types with queue<TMessage, TComplete>() or with schema objects. Schema objects support Standard Schema validators, including Zod.
next and nextBatchUse next when you want to wait for one queue message.
Use nextBatch when you want to wait for multiple queue messages.
timeout to wait indefinitely.Use tryNext when you need one non-blocking read.
Use tryNextBatch for non-blocking batch reads.
Use signal when your receive loop needs external cancellation semantics in addition to actor shutdown behavior.
Multiple queues let you separate message flows by purpose. By default, receive calls race across all queues when names is not specified. In this pattern, prompt messages run through a streaming loop while stop messages act as control signals on a separate receive path.
Use iter({ names: ["prompt"] }) as the main stream and next({ names: ["stop"] }) as a stop signal.
If an actor has a run handler, it does not sleep while that handler is actively doing work. It only can sleep when the run loop is blocked waiting for queue entries (for example inside iter(...) or next(...)).
This means you can run normal code in run without worrying about sleep interrupting it mid-call.
GET /inspector/queue?limit=50 returns queue size and pending message metadata.GET /inspector/summary includes queueSize for quick queue health checks.POST /queue/:name with wait: true is useful to verify completable/request-response behavior.onBeforeConnect. See Authentication.c.aborted and c.abortSignal for actor shutdown. Use your own AbortController for earlier loop cancellation.timeout when callers need bounded wait behavior.wait: true only when the caller actually needs a response.wait: true between actorswait: true blocks the sender's run loop until the receiver finishes. Between actors, this adds unnecessary overhead and risks deadlocks, especially if the target actor needs to communicate back. If an actor sends a wait: true message to itself, it is a guaranteed deadlock because the run loop is already busy processing the current message.
Reserve wait: true for external callers (HTTP handlers, CLI tools, client apps). For actor-to-actor communication, send a queue message to the other actor without wait: true, then have that actor send a queue message back when the work is done.
Every queue message includes a createdAt timestamp. Use this to skip or discard stale messages in your run loop:
Use c.schedule to enqueue messages at a future time instead of processing them immediately:
See Schedule for the full scheduling API.