## Summary Adds minimal server-side observability for AI chat turns: lifecycle counters to measure success/failure rates, Sentry scope tags to correlate API and worker traces, and per-LLM-call telemetry metadata for turn/stream correlation. - Add turn lifecycle metrics: `ai-chat/turn-started`, `ai-chat/turn-completed`, `ai-chat/turn-failed` (with `failure_phase` and `error_code` attributes) - Emit counters at key points: job start, clean completion, execution failures, enqueue failures, interrupted streams, and empty completions - Tag Sentry scope with `streamId`, `turnId`, `threadId`, and `workspaceId` at API entry points (`sendChatMessage`, `retryChatMessage`, `answerAgentChatQuestion`) and worker entry (`StreamAgentChatJob`) - Enrich LLM `experimental_telemetry` metadata with stream/turn/thread/workspace IDs - Return `turnId` from streaming service methods so resolvers can tag the scope - Remove granular tool-learned/skill-loaded metrics in favor of the turn-level counters ## Test plan - [ ] Send a chat message and verify `ai-chat/turn-started` and `ai-chat/turn-completed` increment - [ ] Trigger a stream failure (e.g. interrupted/dead stream) and verify `ai-chat/turn-failed` with correct `failure_phase` - [ ] Retry a failed turn and confirm a new `turn-started` is emitted for the retry attempt - [ ] Answer an `ask_questions` prompt and confirm Sentry tags include `streamId` and `turnId` - [ ] Check Sentry spans for LLM calls include `streamId`, `turnId`, `threadId`, `workspaceId` in telemetry metadata - [ ] Run unit tests: - `npx jest packages/twenty-server/src/engine/metadata-modules/ai/ai-chat/jobs/__tests__/stream-agent-chat.job.spec.ts` - `npx jest packages/twenty-server/src/engine/metadata-modules/ai/ai-chat/services/__tests__/agent-chat-streaming.service.claim.spec.ts` - `npx jest packages/twenty-server/src/engine/metadata-modules/ai/ai-chat/services/__tests__/agent-chat-streaming.service.retry.spec.ts` <!-- This is an auto-generated description by cubic. --> <a href="https://cubic.dev/pr/twentyhq/twenty/pull/22692?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
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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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