doc for persistence? like what ai sdk have?

[ManuRodgers]

https://github.com/vercel-labs/ai-sdk-persistence-db/tree/main

[smorimoto]

@AlemTuzlak Do you have any thoughts on this? The persistence features around LangGraph are incredibly well-designed out and really impressive. That said, I don’t particularly resonate with their approach. It makes me think how great it would be if TanStack AI supported persistence and checkpointing features like this!
https://docs.langchain.com/oss/javascript/langgraph/persistence

[willwillems]

Honestly, some sort of recommendation around persistence would be extremely helpful. I'm currently passing along a conversation ID as context and using tee to split the streamed response and use one of those to aggregate again and store. I don't mind the stateless approach this lib takes but almost anyone will need persistence and currently there's just a finish handler on the front end as an obvious hook?

[willwillems]

This is what I've been using:

/**
 * Yields every item from source transparently while collecting them.
 * After the source exhausts, calls `onComplete` with all collected items
 * within the iteration lifecycle, before signaling done.
 *
 * This ensures the consumer (e.g., an HTTP response stream) stays open
 * until `onComplete` finishes, binding post-stream work to the
 * response lifetime rather than leaving it as a detached promise.
 */
export async function* withOnComplete<T>(
  source: AsyncIterable<T>,
  onComplete: (items: T[]) => Promise<void>,
): AsyncGenerator<T> {
  const items: T[] = []
  for await (const item of source) {
    items.push(item)
    yield item
  }
  await onComplete(items)
}

and just wrap chat() in that.