## Overview Final PR in the Pick Record stack. Adds the **Load Balanced** strategy: pick the candidate that currently has the *fewest related records*. This is the "fair assignment" mode — e.g. assign a new company to the account owner who currently owns the fewest companies, or route a lead to the rep with the fewest open opportunities. **Stacked on #21900** (which is stacked on #21899) — merge in order. This PR's diff against `main` includes PRs 1 & 2 until they merge. ## What changed - Widened the `strategy` enum to add `LOAD_BALANCED`, and added an optional `loadBalance: { objectNameSingular, fieldName }` to the action input. - Editor: selecting **Load balanced** reveals a **Balance by** object picker and a **Count by** field picker (the related object's many-to-one relation fields). - Executor: for each candidate, counts records of the chosen related object whose chosen relation points at that candidate, then selects the least-loaded one. ## How it works Given pool = workspace members and config `{ objectNameSingular: "opportunity", fieldName: "pointOfContact" }`, the executor counts, per member, the opportunities whose `pointOfContact` is that member, and picks the member with the lowest count. ## Design decisions & tradeoffs 1. **No persistent state — computed live each run.** Unlike round robin, load balancing reads current data, so there's no cursor to store. Correct by construction even under concurrency (each run recomputes counts); the only caveat is two simultaneous runs can both see the same "least loaded" candidate before either assignment lands (a small, self-correcting skew), which is inherent to load-balancing and acceptable. 2. **Count via per-candidate queries.** One filtered count per candidate (`{ [relationField]: { id: { eq: candidateId } } }`), run in parallel. For the realistic pool sizes this targets (a team), this is simple and clear. A single `group_by` aggregate would scale better for very large pools — noted as a future optimization, deliberately not done to keep the logic obvious. 3. **Deterministic tie-break.** Candidates are pre-sorted by id (shared with round robin), and the first minimum wins — so equal-load ties resolve deterministically rather than arbitrarily. 4. **`Count by` lists all many-to-one relations of the chosen object** (not filtered to those targeting the pool object). Keeps the editor simple; picking an unrelated field just yields zero counts, which is visibly wrong. Filtering options to relations that target the pool object is a nice follow-up. 5. **Filter on the counted set** (e.g. only *open* opportunities) is intentionally out of scope for this first cut — documented as a follow-up. ## Testing Added `pick-record-load-balanced-workflow.integration-spec.ts`: creates two fresh companies (0 related opportunities each), attaches one opportunity to the second, configures `LOAD_BALANCED` counting opportunities by `company`, and asserts the step picks the **first** company (0 < 1). Passes locally alongside the random and round-robin tests (3 suites / 4 tests). `typecheck` + `lint:diff-with-main` green for shared/server/front. ## The full stack 1. #21899 — Random (the action + the whole scaffold) 2. #21900 — Round robin (atomic Redis cursor) 3. this — Load balanced Together these enable round-robin / load-balanced / random **assignment workflows** in Twenty, composed via the standard variable picker (assign the chosen record downstream with `{{step.<id>.id}}`). https://claude.ai/code/session_01MuPWZsqf2bmQSevk6fRbX8 --- _Generated by [Claude Code](https://claude.ai/code/session_01MuPWZsqf2bmQSevk6fRbX8)_ <!-- This is an auto-generated description by cubic. --> <a href="https://cubic.dev/pr/twentyhq/twenty/pull/21902?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. -->
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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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