## Rationale
`activeStreamId` is the mutex that guarantees one live stream per thread
— but claiming it is a plain read-then-update. The resolver checks it,
then `streamAgentChat` enqueues the job **before** writing the claim.
Two racing sends both pass the check, both start jobs, and each job's
`resetStreamState` wipes the other's Redis chunk list — tokens from two
answers interleave into the visible message. The same window exists for
retry vs. send, the queue drain vs. send, and `stopAgentChatStream`,
which cleared the claim **unguarded** (`{ id, userWorkspaceId }`) and
could wipe a newer stream's claim entirely.
## Why this is the root cause, not a symptom patch
Ownership must live in the `activeStreamId` column regardless of any
locking mechanism — the queue-behind gate, the thread DTO, and stop all
read it. So the correct primitive is a single-row compare-and-set on
that column: `UPDATE … WHERE "activeStreamId" IS NULL` checked via
affected rows, claim **before** enqueue, release on enqueue failure.
Every mutation of the claim is now guarded on the observed value.
Alternatives evaluated and rejected:
- **BullMQ jobId dedup by threadId**: the driver appends a `-${v4()}`
suffix to custom ids and dedups via a non-atomic `getJobs(['waiting'])`
scan that ignores active jobs — two racing sends still run concurrently,
and it does nothing for stop/retry races.
- **`SELECT FOR UPDATE` / Redis SETNX / advisory locks**: all add a
second mechanism (transaction plumbing or a second source of truth) to
protect a single-row write that Postgres can already do atomically.
Path-specific claim predicates fall out naturally: send/drain claim with
`pendingQuestionMessageId IS NULL`, retry claims with `lastStreamError
IS NOT NULL` (and restores the error if its enqueue fails) — closing the
double-retry race for free.
## User impact
Double-send (impatient double-click, two tabs, retry racing a queued
drain) can currently garble the assistant's answer with interleaved
tokens from two model runs and strand one stream's claim. All of these
become deterministic: exactly one winner streams; the loser queues
politely.
## Test plan
- [x] New claim spec: conditional claim before enqueue, race-loser
queues, halted-backlog send queues at the back and kicks the drain
front-first, enqueue-failure releases the claim
- [x] Retry spec updated: rollback restores the prior `lastStreamError`;
guarded shapes asserted
- [ ] CI green
https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38
---
_Generated by [Claude
Code](https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38)_
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The #1 Open-Source CRM
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Why Twenty
Twenty gives technical teams the building blocks for a custom CRM that meets complex business needs and quickly adapts as the business evolves. Twenty is the CRM you build, ship, and version like the rest of your stack.
Learn more about why we built Twenty
Installation
Cloud
The fastest way to get started. Sign up at twenty.com and spin up a workspace in under a minute, with no infrastructure to manage and always up to date.
Build an app
Scaffold a new app with the Twenty CLI:
npx create-twenty-app my-app
Define objects, fields, and views as code:
import { defineObject, FieldType } from 'twenty-sdk/define';
export default defineObject({
nameSingular: 'deal',
namePlural: 'deals',
labelSingular: 'Deal',
labelPlural: 'Deals',
fields: [
{ name: 'name', label: 'Name', type: FieldType.TEXT },
{ name: 'amount', label: 'Amount', type: FieldType.CURRENCY },
{ name: 'closeDate', label: 'Close Date', type: FieldType.DATE_TIME },
],
});
Then ship it to your workspace:
npx twenty app:publish --private
See the app development guide for objects, views, agents, and logic functions.
Self-hosting
Run Twenty on your own infrastructure with Docker Compose, or contribute locally via the local setup guide.
Everything you need
Twenty gives you the building blocks of a modern CRM (objects, views, workflows, and agents) and lets you extend them as code. Here's a tour of what's in the box.
Want to go deeper? Read the User Guide for product walkthroughs, or the
Documentation for developer reference.
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Stack
TypeScript
Nx
NestJS, with BullMQ,
PostgreSQL,
Redis
React, with Jotai, Linaria and Lingui
Thanks
Thanks to these amazing services that we use and recommend for code review (Greptile), catching bugs (Sentry) and translating (Crowdin).
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