# Introduction
Requiring the spreaded `__universal` record that aggregates all the
universal identifier ( relations fk and aggregators ) of an entity to
its root
It's blockin for https://github.com/twentyhq/twenty/pull/17687 to be
finalized because if we don't we would have to migrated all related
entities at once in order for them to always have the universal
properties
## `resolveEntityRelationUniversalIdentifiers`
Introduced `resolveEntityRelationUniversalIdentifiers` a centralized
utility that resolves foreign key IDs to universal identifiers using
ALL_METADATA_RELATIONS metadata. It provides strict typing for both
input (foreign keys) and output (universal identifiers), with
nullability dynamically inferred from entity relation types.
Strictly and dynamically typed for both output and input
To do so added a new type and const/runtime grain to
ALL_METADATA_RELATIONS `isNullable`to many-to-one entries, derived from
the entity relation property types. And fixed incorrectly typed typeorm
entities
### Usage
```ts
const {
availabilityObjectMetadataUniversalIdentifier,
frontComponentUniversalIdentifier,
} = resolveEntityRelationUniversalIdentifiers({
metadataName: 'commandMenuItem',
foreignKeyValues: {
availabilityObjectMetadataId:
createCommandMenuItemInput.availabilityObjectMetadataId,
frontComponentId: createCommandMenuItemInput.frontComponentId,
},
flatEntityMaps: { flatObjectMetadataMaps, flatFrontComponentMaps },
});
```
# Refactor workflow–logic function interaction
## Why
Workflow code steps and standalone logic functions shared the same build
layer and DB layer, which blurred two use cases: code steps belong to a
workflow version; standalone functions are deployable units. That made
workflow code steps harder to own and evolve.
## Goal
Treat code steps as **workflow-owned**: build and run them in workflow
context, and expose workflow-scoped APIs so the editor can load, test,
and save code step source without going through the generic
logic-function layer.
## Remove logic function layer
Package.json and yarn.lock are now on the application entity, so the
logic function layer is no longer used except as a legacy source for the
1.17 backfill. This PR removes all layer usage outside of that migration
and keeps only the entity for backfill.
### Summary
- **Kept:** `LogicFunctionLayerEntity` and its table, only used by the
1.17 backfill command to read legacy layer data and backfill application
package files.
- **Removed:** All other layer logic: CRUD, cache, resolvers, services,
DTOs, and frontend types. Logic functions now depend only on the
application for package/dependency context.
### Why Dependencies instead of Source for package files
Package.json and yarn.lock are the application’s dependency set and are
stored under the application in **FileFolder.Dependencies**. The build
service and drivers now read them only from Dependencies; nothing is
written to Source for these files.
# Introduction
In preparation of the workspace agnostic builder, we're migrating
`FlatEntityMaps` to be universal identifier oriented and based
As in the builder context there're won't be any ids at all
Please also note that the FlatEntity is a UniversalFlatEntity superset
From
```ts
import { type SyncableFlatEntity } from 'src/engine/metadata-modules/flat-entity/types/flat-entity-from.type';
export type FlatEntityMaps<T extends SyncableFlatEntity> = {
byId: Partial<Record<string, T>>;
idByUniversalIdentifier: Partial<Record<string, string>>;
universalIdentifiersByApplicationId: Partial<Record<string, string[]>>;
};
```
To
```ts
export type FlatEntityMaps<
T extends SyncableFlatEntity | UniversalSyncableFlatEntity,
> = {
byUniversalIdentifier: Partial<Record<string, T>>;
universalIdentifierById: Partial<Record<string, string>>;
universalIdentifiersByApplicationId: Partial<Record<string, string[]>>; // this might make more sense to be migrated to universalIdentifiersByApplicationUniversalIdentifier but it's the main topic of this PR
};
```
## Low level maps tools
Had to refactor find | create | delete | replace | find-many | get-sub
tools ( through mutations and or throw equivalent )
Removes the versioning system for logic functions (`latestVersion`,
`publishedVersions`) and simplifies the file storage structure.
### Changes
- Remove `publishOneLogicFunctionOrFail` and publishing logic from
workflow status updates
- Add `createLogicFunctionFromExistingLogicFunction` to duplicate logic
functions when creating draft workflow versions
- Update `createDraftStep` to create a new logic function copy instead
of referencing the same one
- Migrate file storage to v2 endpoints with
`applicationUniversalIdentifier`
- Unify path structure: source files at `source/workflow/{id}/`, built
files at `built-logic-function/workflow/{id}/`
- Store full paths in `sourceHandlerPath` and `builtHandlerPath` entity
fields
## Summary
- Remove `latestVersion` and `publishedVersions` columns from
`LogicFunction` entity
- Remove version parameter from logic function execution, build, and
source code retrieval
- Update all related services, DTOs, utilities, and tests
- Add database migration to drop the version columns
## Summary
Migrates trigger entities (`CronTriggerEntity`,
`DatabaseEventTriggerEntity`, `RouteTriggerEntity`) into
`ServerlessFunctionEntity` by storing trigger settings as JSONB columns
directly on the serverless function. This simplifies the architecture
since these relationships were effectively one-to-one.
## Changes
### Schema Changes
- Added three new nullable JSONB columns to `ServerlessFunctionEntity`:
- `cronTriggerSettings` - stores cron pattern
- `databaseEventTriggerSettings` - stores event name and updated fields
filter
- `httpRouteTriggerSettings` - stores path, HTTP method, auth
requirements, and forwarded headers
### Core Logic Updates
- `CronTriggerCronJob` - now queries `ServerlessFunctionEntity` directly
instead of `CronTriggerEntity`
- `CallDatabaseEventTriggerJobsJob` - now queries
`ServerlessFunctionEntity` directly
- `RouteTriggerService` - now queries `ServerlessFunctionEntity`
directly
- `ApplicationSyncService` - extracts trigger settings from manifest and
writes to serverless function
## Context
Introduces a middleware that automatically sets the workspace auth
context in AsyncLocalStorage for HTTP requests, making it available
throughout the request lifecycle without explicit parameter passing.
The motivation behind this change is to reduce boilerplate and simplify
the developer experience when working with workspace data in HTTP
request handlers.
The Problem (Before)
Every HTTP request handler that needed to access workspace data had to:
- Extract auth-related info from decorators (@AuthWorkspace(),
@AuthUserWorkspaceId(), etc.) in controller/resolver and pass down to
services
- Build or pass the authContext explicitly (sometimes with type
assertion which was flaky)
Then call executeInWorkspaceContext(authContext, async () => { ... })
## Changes
- Add WorkspaceAuthContextMiddleware that extracts auth context from the
request and stores it in AsyncLocalStorage
- Register middleware for GraphQL, metadata, and REST routes (runs after
hydration middlewares)
- Simplify executeInWorkspaceContext signature: fn is now the first
parameter, authContext is optional second
- If authContext is not provided, it's automatically retrieved from the
storage (set by middleware)
- Update all callers (~120 files) to use the new parameter order
- Fixes a bug in search where system auth context was used, bypassing
RLS feature.
# Introduction
Currently refactoring `flatEntity` typing, encountering some tsc errors
due to this fk aggregator custom override
It shall now follow generic pattern leading to be named `fieldIds`
Needs to flush object cache when released
Fixes
https://github.com/twentyhq/private-issues/issues/410#issuecomment-3781085655
Currently, JSON keys with spaces like { "toto toto": 123 } are rejected
with "JSON keys cannot contain spaces" error. This is problematic for
HTTP requests and webhook triggers where users cannot control the
response structure.
We use Handlebars to eval variables, segment-literal bracket notation to
escape keys with special characters:
Normal: {{step.normalKey}}
With spaces: `{{step.[key with space]}}`
So we simply need to wrap segments with spaces with brackets.
This PR:
- Create shared path utilities to wrap the variable segments when needed
- Use it in all variable generation places
- Remove the restrictions
This body is now supported:
<img width="609" height="457" alt="Capture d’écran 2026-01-22 à 16 10
13"
src="https://github.com/user-attachments/assets/e7653c0a-df1e-49af-9c9a-4b7d59a99726"
/>
Summary
- Serverless functions are now built when created/updated instead of at
execution time
- Added builtHandlerPath field to track pre-built function artifacts
- Renamed base-typescript-project to seed-project with pre-built ESM
output included
- Renamed file folder enums for consistency (Functions → BuiltFunction,
SourceCode → Source)
- supports backwards compatibility with existing serverless functions
Tested with all combinations
- storage : local driver and S3 driver
- serverless : local driver and lambda driver
# Introduction
As we've been identifying both standard and custom entities for all the
metadata that had standard
We now still need to identify all custom entities enforcing them to have
an `applicationId` and `universalIdentifier`
In this PR we've removed the `SyncableEntityRequired` in favor requiring
props directly in the `SyncableEntity`
Which means that all metadata in db will now expect non nullable
applicationId and universalIdentifier across the whole application
Will add some type cleanup later in
https://github.com/twentyhq/twenty/pull/17277
# Introduction
In this PR we're migrating the serverless function service that was
using the SF repo directly to the v2 build and runner.
The whole serverless engine now deals with flat entities only
## Resolvers
Refactored the resolvers ( serverlessFunction, route, database and cron
trigger) :
- return types to `dto`
- Standardized the flat to dto transpilation within the resolvers
- Find and findMany passing by the cached data
## Services
Refactored the services ( serverlessFunction, route, database and cron
trigger) :
- return type to be `flat`
- always calling v2 and computing cache
## New additional caches
- application variables ( cf
https://github.com/twentyhq/core-team-issues/issues/2116 )
- serverless function layer
## What to test:
- CRUD ( database trigger ✅ , route trigger, cron trigger, serverless
function through workflows ✅ )
- Duplicating a workflow with a serverless function code node ✅
## Concerns
We need to implement the cron that will hard delete soft deleted s3
serverless functions, not in this PR though ( cf
https://github.com/twentyhq/twenty/pull/17285#discussion_r2709168570 and
https://github.com/twentyhq/core-team-issues/issues/2118 )
Fixes https://github.com/twentyhq/core-team-issues/issues/1382
Current issue : all step output schemas are computed and stored on
backend side. Which means that, when the database schema is updated -
like a field creation - steps needs to be deleted an recreated. Which is
invisible to users.
Solution : schema generation is moved on frontend side
1. Coming on the page the first time, the schema is populated for all
steps except a few ones that are handled differently (Code, Webhook,
http node, Agent)
2. A separated state allow to determine if a step needs a recomputation.
3. The user only needs a refresh to see the whole schema re-computed
Follow-up:
- check if remaining backend steps could be moved to runtime
computation. But Code will still require storage.
- Clean backend service that is not used anymore
## Context
Following https://github.com/twentyhq/twenty/pull/16399
Now using the new global orm manager everywhere and returning a
GlobalDatasource/WorkspaceDatasource based on a feature flag.
This means we now need to wrap all our ORM calls within
executeInWorkspaceContext callback (at least for now) so the global
datasource can dynamically hydrate its context via the new store (the
global datasource does not store anything related to workspaces as it is
now a unique singleton). If feature flag is off it still uses local data
stored in the workspace datasource.
## Summary
This PR significantly simplifies the AI chat architecture by removing
complex routing/planning mechanisms and introduces clickable record
links in AI responses.
## Changes
### AI Chat Architecture Simplification
- **Removed** the entire `ai-chat-router` module (~850 lines) including:
- Strategy decider service
- Plan generator service
- Complex routing logic
- **Removed** agent execution planning services (~700 lines):
- `agent-execution.service.ts`
- `agent-plan-executor.service.ts`
- `agent-tool-generator.service.ts`
- **Added** centralized `ToolRegistryService` for tool management:
- Builds searchable tool index (database, action, workflow tools)
- Provides tool lookup by name
- Supports agent search for loading expertise
- **Added** `ChatExecutionService` as simple replacement:
- Includes full tool catalog in system prompt
- Pre-loads common tools (find/create/update for company, person,
opportunity, task, note)
- Uses `load_tools` mechanism for dynamic tool activation
- Enables native web search by default
### Record References in AI Responses
- Added `recordReferences` field to tool outputs for create, find, and
update operations
- Implemented `[[record:objectName:recordId:displayName]]` syntax for AI
to reference records
- Created `RecordLink` component that renders clickable chips with
object icons
- Integrated record link parsing into the markdown renderer
- Users can now click directly on created/found records in AI responses
### Workflow Agent Fixes
- Fixed cache invalidation issue when creating agents in workflows
- Added default prompt for workflow-created agents to prevent validation
errors
- Relaxed agent validation to only check properties being updated (not
all required properties)
### Code Quality Improvements
- Extracted `getRecordDisplayName` utility that mirrors frontend's
`getLabelIdentifierFieldValue` logic
- Uses object metadata to determine the correct label identifier field
- Handles `FULL_NAME` composite type for person/workspaceMember objects
- Shared across create, find, and update record services
## Net Impact
- **~1,200 lines deleted** (complex routing/planning code)
- **~500 lines added** (simpler tool registry + record links)
- Significantly reduced code complexity
- Better tool discovery through full catalog in system prompt
- Improved UX with clickable record references
## Testing
- Typecheck passes
- Lint passes
- Manual testing of AI chat with record creation and linking
## Context
Deprecating TwentyORMManager in favor of TwentyORMGlobalManager
(temporarily, as this will simplify the ultimate goal to later replace
all usages with the new TwentyORMGlobalManagerV2 which will have a
similar signature)
This means this PR had to refactor a bit of code to pass down the
workspaceId when not available directly as it is now a requirement,
meaning we also deprecated scopedWorkspaceContextFactory to have a less
obscure way to fetch the workspaceId and have something more
declarative.
Step 3 will be to update TwentyORMGlobalManager to use a featureFlag
toggling and use the new GlobalWorkspaceOrmManager internally using the
new cache service
Step 4 will be to remove the feature flag and pg_pool patch
## Context
Deprecating the old objectMetadataMap type in favour of split flat
entities to match with our new caching.
In the long run, trying to achieve:
- Better performance through caching
- Consistent data access patterns across the codebase
- Reduced database queries
Now that everything is based on flat entities, which are cached, we can
finish the refactoring of workspace context cache which should already
improve performances.
Then the last step will be to consume that new cache in the new global
datasource to get rid of the many workspace datasources stored in the
server
## Summary
This PR introduces a comprehensive agent evaluation system and refactors
the AI module structure for better organization.
## Key Changes
### 🎯 Agent Evaluation System
- Added **Agent Turn Evaluation** entities, DTOs, and database schema
- New GraphQL mutations: `evaluateAgentTurn` and `runEvaluationInput`
- Added `evaluationInputs` field to Agent entity for storing test inputs
- New `AgentTurnGraderService` for automatic turn evaluation
- Added evaluation UI with new **Evals** and **Logs** tabs in agent
detail pages
### 🏗️ Entity & Module Refactoring
- Renamed `AgentChatMessage` → `AgentMessage` for clarity
- Consolidated chat entities: `AgentMessage`, `AgentTurn`, and
`AgentChatThread`
- Reorganized AI modules under `ai/` subdirectory structure
- Updated imports across codebase to reflect new module paths
### 🤖 New Agents & Roles
- Added **Dashboard Builder Agent** for dashboard creation and
management
- Added **Dashboard Manager Role** with appropriate permissions
- Updated role permissions to be more granular (users vs agents vs API
keys)
### 🔐 Permission System Updates
- Added `HTTP_REQUEST_TOOL` permission flag
- Updated Workflow Manager role permissions (restricted tool access)
- Enhanced permission flag types to differentiate between user/agent/API
key contexts
- Added `isRelevantForAgents`, `isRelevantForApiKeys`,
`isRelevantForUsers` to permission flags
### 📨 Message Role Enhancement
- Added `system` role to `AgentMessageRole` enum (alongside
user/assistant)
- Updated message handling to support system prompts
### 🎨 UI/UX Improvements
- New tabs in agent detail: **Evals** and **Logs**
- Added turn detail page: `/ai/agents/:agentId/turns/:turnId`
- Fixed text overflow in `SettingsListItemCardContent`
- Updated role applicability labels ("Assignable to Workspace Members")
### 🛠️ Technical Improvements
- Fixed Zod schema validation for UUID and Date fields (use string
validators)
- Updated `ToolRegistryService` to properly register HTTP tool with
permission flag
- Enhanced error handling in agent execution services
- Updated database migrations for new entity schema
## Database Migrations
- `1764210000000-add-system-role-to-agent-message.ts`
- `1764220000000-add-evaluation-inputs-to-agent.ts`
- `1764200000000-add-agent-turn-evaluation.ts`
- `1764100000000-refactor-agent-chat-entities.ts`
## Testing
- [ ] Agent evaluation flow tested
- [ ] Dashboard Builder agent tested
- [ ] Permission system validated
- [ ] UI tabs and navigation tested
- [ ] Database migrations run successfully
## Breaking Changes
⚠️ **Entity Rename**: `AgentChatMessage` renamed to `AgentMessage` -
GraphQL queries need updating
## Related Issues
<!-- Link any related issues here -->
## Screenshots
<!-- Add screenshots if applicable -->
## Overview
This PR replaces the dynamic agent handoff system with a more
predictable planning-based router that decides upfront how to handle
multi-agent coordination.
## Major Changes
### 🔄 Architecture Shift: Handoffs → Planning
**Removed:**
- `AgentHandoffEntity` and handoff tracking system
- `AgentHandoffService` and `AgentHandoffExecutorService`
- Dynamic agent-to-agent transfers during execution
- Handoff tool generation and description templates
**Added:**
- `AiRouterService` with two strategies: `simple` (single agent) and
`planned` (multi-agent)
- `AgentPlanExecutorService` for executing multi-step plans
- Plan validation (cycle detection, dependency resolution)
- `UnifiedRouterResult` type with discriminated union
### 🤖 New Standard Agents
Added two new specialized agents:
- **Researcher Agent**: Web search, fact-finding, competitive
intelligence
- **Code Agent**: TypeScript function generation for serverless
workflows
### 🏗️ Router Refactoring (Latest)
Split router responsibilities into focused services:
- `AiRouterStrategyDeciderService`: Decides simple vs planned strategy
- `AiRouterPlanGeneratorService`: Generates and validates execution
plans
- `AiRouterService`: Coordinates between services (reduced from 426→275
lines)
### ⚙️ Configuration Improvements
- Added `outputStrategy` to agent definitions (`direct` vs `synthesize`)
- Removed hardcoded special cases for workflow-builder
- Added `plannerModel` field to workspace entity
- Increased `MAX_STEPS` from 10 to 25 for complex workflows
### 📝 Agent Prompt Refinements
Significantly simplified prompts for better clarity:
- Workflow Builder: 51→36 lines
- Helper: 49→28 lines
- Data Manipulator: Enhanced with sorting guidance
### 🔍 Enhanced Debugging
- Plan reasoning and step count in data message parts
- Router debug info with token usage tracking
- Better logging throughout execution pipeline
## Benefits
1. **Simpler Mental Model**: Router decides upfront vs dynamic transfers
2. **Better Predictability**: Users see the plan before execution
3. **Cleaner Architecture**: SRP with focused services
4. **Configuration Over Code**: Agent behavior via config, not hardcoded
logic
5. **Plan Validation**: Catches invalid dependencies and cycles
## Migration Notes
- Database migration removes `agentHandoff` table
- Adds `plannerModel` column to workspace table
- No API breaking changes (agent endpoints unchanged)
## Testing
- Integration tests updated to remove handoff dependencies
- Agent tool test utilities simplified
- Plan validation covered by new logic
## Next Steps (Future PRs)
- Parallel execution of independent plan steps
- Dynamic re-planning based on results
- Plan caching for common routing patterns
- Error recovery strategies in plan executor
## Summary
This PR adds configurable response format support for AI agents,
allowing them to return either plain text or structured JSON data based
on a defined schema.
## Key Features
### 1. Agent Response Format Configuration
- Added `AgentResponseFormat` type supporting:
- `text`: Returns plain text responses (default)
- `json`: Returns structured JSON based on defined schema
- New `AgentResponseSchema` type moved to `twenty-shared/ai` for sharing
between frontend/backend
### 2. Settings UI
- New `SettingsAgentResponseFormat` component for configuring response
format
- Visual schema builder for defining JSON output structure
- Real-time validation and preview
- Integrated into agent settings tab
### 3. Workflow Integration
- AI Agent workflow action automatically uses agent's configured
response format
- Output schema dynamically generated from agent's response format
- Workflow variable picker shows structured fields for JSON responses
- Backward compatible with existing text-only agents
### 4. Backend Implementation
- Added `convertAgentSchemaToZod` utility to validate JSON responses
- Agent executor service handles both text and JSON generation
- Automatic agent creation/cloning when adding AI agent steps to
workflows
- Unique agent naming with conflict resolution
### 5. Database Migration
- Migration `1763622159656-update-agent-response-format.ts`
- Sets default `responseFormat` to `{"type":"text"}` for existing agents
- Updated all standard agents with proper response format
## Changes by Module
### Frontend (`twenty-front`)
- 🆕 `AgentResponseFormat` type
- 🆕 `SettingsAgentResponseFormat` component
- ✏️ Updated `WorkflowEditActionAiAgent` to support response format
configuration
- 🗑️ Removed deprecated `useAiAgentOutputSchema` hook and
`AiAgentOutputSchema` type
### Backend (`twenty-server`)
- 🆕 `AgentResponseFormat` type in agent entity
- 🆕 `convertAgentSchemaToZod` utility for schema validation
- ✏️ Updated `AiAgentExecutorService` to handle both text and JSON
generation
- ✏️ Updated `WorkflowSchemaWorkspaceService` to generate output schema
from agent config
- ✏️ Enhanced `WorkflowVersionStepOperationsWorkspaceService` with agent
creation/cloning
- 🆕 Agent naming constants for conflict resolution
### Shared (`twenty-shared`)
- 🆕 `AgentResponseSchema` type
- 🆕 `ModelConfiguration` type moved to shared package
- Updated exports in `ai/index.ts`
## Code Quality
- Removed useless comments following code style guidelines
- All linter checks passed
- Type-safe implementation with proper TypeScript types
## Testing
- ✅ Database migration tested
- ✅ Agent creation/cloning in workflows verified
- ✅ Response format switching (text ↔ JSON) validated
- ✅ Backward compatibility with existing agents confirmed
## Migration Notes
- Existing agents will have `responseFormat: {type: 'text'}` set
automatically
- No breaking changes - all existing functionality preserved
- Agents can be updated to use JSON format through settings UI
I did an acceptable design for empty node and iterators for release:
- use array field for iterator node. Added an util to stringify arrays
for backward compatibily
- remove icon for empty node
- allow to select a node on empty node selection
https://github.com/user-attachments/assets/b00037a8-aa1d-4784-b973-05973649b46e
martmull