## Summary
- **Queue messages while streaming**: Messages sent during active AI
streaming are queued server-side and auto-flushed when the current
stream completes. Frontend renders queued messages optimistically in a
dedicated queue UI.
- **Drop `@ai-sdk/react` + `resumable-stream`**: Replace the dual HTTP
SSE + AI SDK client architecture with a single GraphQL SSE subscription
per thread. All events (token chunks, message persistence, queue
updates, errors) flow through Redis PubSub → GraphQL subscription.
- **Server-driven architecture**: The server decides whether to queue or
stream (via `POST /:threadId/message`). The frontend mirrors this
decision for optimistic rendering but defers to the server response.
- **Reuse AI SDK accumulation logic**: `readUIMessageStream` from the
`ai` package handles chunk-to-message accumulation on the frontend,
avoiding a custom 780-line accumulator.
## Key files
**Backend:**
- `agent-chat-event-publisher.service.ts` — publishes events to Redis
PubSub
- `agent-chat-subscription.resolver.ts` — GraphQL subscription resolver
- `stream-agent-chat.job.ts` — publishes chunks via PubSub instead of
resumable-stream
- `agent-chat.controller.ts` — unified `POST /:threadId/message`
endpoint
**Frontend:**
- `useAgentChatSubscription.ts` — subscribes to `onAgentChatEvent`,
bridges to `readUIMessageStream`
- `useAgentChat.ts` — send/stop/optimistic rendering (no more AI SDK)
- `AgentChatStreamSubscriptionEffect.tsx` — replaces
`AgentChatAiSdkStreamEffect.tsx`
## Test plan
- [ ] Send message on new thread → optimistic render, streaming response
appears
- [ ] Send message while streaming → queued instantly (no flash in main
thread)
- [ ] Queued message auto-flushes after current stream completes
- [ ] Remove queued message via queue UI
- [ ] Stop streaming mid-response
- [ ] Leave chat idle for several minutes → streaming still works after
(SSE client recycling)
- [ ] Token refresh during session → requests succeed (authenticated
fetch)
- [ ] Switch threads while streaming → clean subscription handoff
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
- new channel EVENT_STREAM_CHANNEL based on event stream id
- on event, perform the matching and publish only to the right streams
- store a list of active streams per workspace
- store the user id along with the queries for each stream
Bonus:
- remove onSubscriptionMatch
- moved a few gql types to twenty shared to re-use in server
- added a new endpoint, onEventSubscription that expect a streamId to
create a connection
- two new endpoints to store queries in Redis
- updated the existing batch channel to directly use object record type
related to https://github.com/twentyhq/core-team-issues/issues/601
## Done
- add a `onDbEvent` `Subscription` graphql endpoint to listen to
database_event using what we have done with webhooks:
- you can subscribe to any `action` (created, updated, ...) for any
`objectNameSingular` or a specific `recordId`. Parameters are nullable
and treated as wildcards when null.
- returns events with following shape
```typescript
@Field(() => String)
eventId: string;
@Field()
emittedAt: string;
@Field(() => DatabaseEventAction)
action: DatabaseEventAction;
@Field(() => String)
objectNameSingular: string;
@Field(() => GraphQLJSON)
record: ObjectRecord;
@Field(() => [String], { nullable: true })
updatedFields?: string[];
```
- front provide a componentEffect `<ListenRecordUpdatesEffect />` that
listen for an `objectNameSingular`, a `recordId` and a list of
`listenedFields`. It subscribes to record updates and updates its apollo
cached value for specified `listenedFields`
- subscription is protected with credentials
## Result
Here is an application with `workflowRun`
https://github.com/user-attachments/assets/c964d857-3b54-495f-bf14-587ba26c5a8c
---------
Co-authored-by: prastoin <paul@twenty.com>
