Félix Malfait
9496a98aa3
## Why Today the assistant chat message is written to the DB exactly **once**, at `onFinish` (`handleStreamFinish`). The per-step hook (`onStepFinish` in `chat-execution.service.ts`) only does billing/metrics — no persistence. Content streams to the client live over Redis, but the durable record only lands at the end. The graceful paths already cover partials: normal completion, user cancel, and the shutdown-abort from #22517 all fire `onFinish` with `isAborted` and persist whatever parts exist. The gap is a **true SIGKILL** — OOM, node loss, or a grace-period overrun — where `onFinish` never runs. When that happens mid-turn, the assistant message vanishes from the thread even though its tool calls already executed real CRM mutations. That's the worst failure shape: side effects persisted, the record of them didn't. This closes that gap by materializing the assistant message progressively, so a hard kill leaves the tools-already-run on the thread. It's the app-level piece behind the earlier discussion on #22518 — with this, a retried/interrupted turn also resumes from its own partial (the model reloads history and continues) instead of re-doing completed steps. Scope is **chat only** — the workflow agent path (`AgentAsyncExecutorService`, blocking `generateText`) is a different model with its own step-log persistence and workflow-engine resumption, and is deliberately out of scope here. ## What - `AgentChatService.upsertAssistantMessage`: idempotent message+parts write keyed on the deterministic `uuidv5(streamId)` id (upsert the row, replace its parts), reusing the existing `mapUIMessagePartsToDBParts` / `finalizeDanglingToolParts`. - `stream-agent-chat.job.ts`: tee the assembled UI stream — one branch keeps publishing chunks unchanged; the other drives the SDK's own `readUIMessageStream` and, throttled to `AGENT_CHAT_CHECKPOINT_INTERVAL_MS` (2s), fires a serialized fire-and-forget `upsertAssistantMessage`. No chunk re-assembly — the parts come straight from the SDK assembler, identical to what `onFinish` produces. - `handleStreamFinish` now upserts (authoritative) instead of insert-then-skip. Two ordering/idempotency guards: - Checkpoints are serialized through one promise chain and gated off (`isFinalizingPersist`) before the final write, which drains the chain first — so the authoritative write always lands last and never races a checkpoint on the parts table. - The old `hasMessageById`→skip protected the thread-totals accumulation from double-counting on a re-executed job. Since checkpoints now make the row exist mid-stream, that signal is captured **once at stream start** (`assistantMessageExistedAtStart`) and used to gate the totals update — preserving the exact prior idempotency while allowing progressive writes. `readUIMessageStream` runs with `terminateOnError: false` and the checkpoint consumer swallows errors: checkpoints are best-effort and must never affect the stream or the authoritative persist. ## User impact A worker that dies hard mid-turn no longer erases the assistant message. Combined with #22434's Retry, the user sees the partial turn (including executed tools) and can continue, rather than a turn that silently disappeared while its side effects stuck. Note: this is insurance against true SIGKILL specifically — graceful shutdown (#22514/#22517) already persists partials — so it's most valuable for OOM/node-loss/grace-overrun. Framed that way deliberately; happy to drop it if you'd rather not touch this path for that scope. ## Validation - Unit (`stream-agent-chat.job.spec.ts`, 59 green): the success path persists via `upsertAssistantMessage` with the assembled parts + turnId; a re-executed job whose message existed at start still upserts but does **not** re-apply thread totals; all existing flows (mid-stream error, user cancel, shutdown-abort, missing workspace) unchanged. - Local runtime (isolated instance, real OpenAI stream, checkpoint interval shortened for the test): - **SIGKILL mid-stream** (no graceful onFinish) → the assistant message row (deterministic id) is present afterward with a partial text part (~381 chars) that would otherwise have been lost. - **Normal completion** → the final upsert converges to the full message ("Hello, Tim."), `activeStreamId` cleared, `totalOutputTokens` applied exactly once. <!-- This is an auto-generated description by cubic. --> <a href="https://cubic.dev/pr/twentyhq/twenty/pull/22524?utm_source=github" target="_blank" rel="noopener noreferrer" data-no-image-dialog="true"><picture><source media="(prefers-color-scheme: dark)" srcset="https://www.cubic.dev/buttons/review-in-cubic-dark.svg"><source media="(prefers-color-scheme: light)" srcset="https://www.cubic.dev/buttons/review-in-cubic-light.svg"><img alt="Review in cubic" src="https://www.cubic.dev/buttons/review-in-cubic-dark.svg"></picture></a> <!-- End of auto-generated description by cubic. -->
The #1 Open-Source CRM
Website · 
Documentation · 
Roadmap · 
Discord · 
Figma
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.
|
|
|
|
|
|
Learn more about version control in doc
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).
Join the Community
Star the repo · Discord · 
Feature requests · Releases · 
X · 
LinkedIn · 
Crowdin · 
Contribute