## 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
closes https://github.com/twentyhq/core-team-issues/issues/1629
To do before requesting review :
- filter update
Migration to come in an other PR
Strat :
1/ Null transformation
- [x] Transform NULL equivalent value to NULL in field validation in
common api - pre-query - with feature flag
- [ ] Same logic in ORM (Not done, complex to handle feature flag here)
- [x] Transform NULL value to equivalent in data formatting in ORM -
post-query
2/ Migration (in other PR) for fieldMetadata not nullable with default
defaultValue (empty string, ...)
- [ ] Remove NOT NULL db constraint
- [ ] Update record value to NULL
- [ ] Update field metadata : isNullable:true
- [ ] Update uniqueIndex whereClause (also for standard uniqueIndex)
- [ ] Activate feature flag
3/ Update metadata creation
- [x] No more default default value
- [x] Update standard field nullability
- [x] Remove index default whereClause for standard field
4/ Update filter
- [x] When filtering on NULL or empty string, be sure all records are
returned (the one with NULL + the one with "")
5/ Test
- [ ] Strat. to do
## 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
Closes https://github.com/twentyhq/core-team-issues/issues/1600.
Two remarks
- This `limit` variable does not reduce postgre's work at it still needs
to scan the whole table. It did not seem possible to me to optimize this
as we cannot foresee which dimensions will be used by the user, and an
optimization could only result from an index on the dimension(s) (e.g.:
group companies by addressCity limit 50 can be optimized if we have an
index on companies.addressCity + we had a default orderBy on
adressCity). But this will still optimize the FE which at the moment
receives all groups and truncates the result.
- I have not done the work on the FE as the addition of limit is a
breaking change, and will break until the workspaces' schema is rebuilt,
so we need to flush the cache. I think this could be acceptable as the
feature is in the lab but I preferred not doing it yet as it would have
no impact since in the BE I added a default limit to 50 groups, and I
expect more FE work will be done to allow the user to choose their own
limit
Some Glob CLI related alerts were generated last night. I believe
they're safe to dismiss since I do not expect us to use the Glob CLI in
production environment, and those alerts do not impact the API, but
still updating the dependency version just in case.
Not sure if this would resolve all/any of the alerts since glob is a
dependency for many other dependencies, so a good number of dependency
variants are pulled in.
The alert that confirms it's just a CLI related vulnerability:
[Dependabot Alert
307](https://github.com/twentyhq/twenty/security/dependabot/307)
## Summary
- add a regression test that reproduces the workflow "Search Records →
ID is <UUID>" failure (issue #15067 / #15746)
- adjust `turnRecordFilterIntoRecordGqlOperationFilter` so UUID filters
fall back to the literal value when no `recordIdsForUuid` context is
provided, always emitting an `in` clause
## Testing
- npx nx test twenty-shared --
--testPathPattern=computeRecordGqlOperationFilter.test.ts
--coverage=false
- Manual: workflow "Search Records" with filter "ID is <UUID>" now
returns the correct record
Fixes#15067Fixes#15746
---------
Co-authored-by: remi <remi@labox-apps.com>
Co-authored-by: Lucas Bordeau <bordeau.lucas@gmail.com>
## Introduction
Since we've moved some class validator instances from twenty-server to
twenty-shared tests are red because they do not know how to parse
decorators declarations
We've fixed this by explicitly installing `class-validator` in
`twenty-shared` and configuring jest swc accordingly
## Twenty-server class validator patch
I don't even know if that's something we need anymore
Seems to be a patch either fixing or introducing credit card and phone
number validation
Would prefer discussing the need or not to either before merging this as
it could introduce regression at runtime:
- Centralize the patch to be consumed in both `twenty-server` and
`twenty-shared`
- Remove the patch
We should also document every patch motivations we do as it's quite
though to iterate over a such huge one
This PR fixes the filter on not empty phones.
We can end up with phone numbers that only have a country code, but it
makes no sense to consider this special edge case "not empty".
If we have no phone number, then it's empty, so this PR applies this
particular use case for NOT EMPTY filter on phone fields.
Fixes https://github.com/twentyhq/twenty/issues/15638
This PR fixes a bug which could happen if two people were editing a page
layout at the same time.
If one person deletes a widget or a tab and saves first, and the second
person saves after but doesn't delete this widget or tab, an error is
raised.
This is because, in the backend, a diff is computed to know which tab or
widget to create, update or delete. But the logic was maid without
considering soft deletion. So, when the second person saves, the diff
tries to create the widget or tab which had been soft deleted by the
first use. Since they have the same id, a duplicate primary key error is
raised.
Now we always consider that the last user to save has the truth. So we
restore the tab/widget and update it.
As title
- adds decorators in twenty-sdk
- update twenty-cli load-manifest to it gets @FieldMetadata infos +
testing
- update twenty-server so it CRUD fields properly, using
universalIdentifier
- Fix UI so we can update managed objects records
- move FieldMetadata items from twenty-server to twenty-shared
- Allow users to choose the date granularity of the x axis and the group
by of the y axis on a bar chart
- Display those options conditionally
- Store timezones in graphs: each graph has its own timezone, defaults
to the user timezone. There will be a picker in the v2 to choose the
timezone. For now the timezone is not used by the backend, but it will
be used in filters and in group by queries.
- Store first day of the week
https://github.com/user-attachments/assets/66a5d156-dd93-4ebe-8c8f-d172f93e25be
This PR implements the necessary tools to have `react-datepicker`
calendar and our date picker components work reliably no matter the
timezone difference between the user execution environment and the user
application timezone.
Fixes https://github.com/twentyhq/core-team-issues/issues/1781
This PR won't cover everything needed to have Twenty handle timezone
properly, here is the follow-up issue :
https://github.com/twentyhq/core-team-issues/issues/1807
# Features in this PR
This PR brings a lot of features that have to be merged together.
- DATE field type is now handled as string only, because it shouldn't
involve timezone nor the JS Date object at all, since it is a day like a
birthday date, and not an absolute point in time.
- DATE_TIME field wasn't properly handled when the user settings
timezone was different from the system one
- A timezone abbreviation suffix has been added to most DATE_TIME
display component, only when the timezone is different from the system
one in the settings.
- A lot of bugs, small features and improvements have been made here :
https://github.com/twentyhq/core-team-issues/issues/1781
# Handling of timezones
## Essential concepts
This topic is so complex and easy to misunderstand that it is necessary
to define the precise terms and concepts first. It resembles character
encoding and should be treated with the same care.
- Wall-clock time : the time expressed in the timezone of a user, it is
distinct from the absolute point in time it points to, much like a
pointer being a different value than the value that it points to.
- Absolute time : a point in time, regardless of the timezone, it is an
objective point in time, of course it has to be expressed in a given
timezone, because we have to talk about when it is located in time
between humans, but it is in fact distinct from any wall clock time, it
exists in itself without any clock running on earth. However, by
convention the low-level way to store an absolute point in time is in
UTC, which is a timezone, because there is no way to store an absolute
point in time without a referential, much like a point in space cannot
be stored without a referential.
- DST : Daylight Save Time, makes the timezone shift in a specific
period every year in a given timezone, to make better use of longer days
for various reasons, not all timezones have DST. DST can be 1 hour or 30
min, 45 min, which makes computation difficult.
- UTC : It is NOT an “absolute timezone”, it is the wall-clock time at
0° longitude without DST, which is an arbitrary and shared human
convention. UTC is often used as the standard reference wall-clock time
for talking about absolute point in time without having to do timezone
and DST arithmetic. PostgreSQL stores everything in UTC by convention,
but outputs everything in the server’s SESSION TIMEZONE.
## How should an absolute point in time be stored ?
Since an absolute point in time is essentially distinct from its
timezone it could be stored in an absolute way, but in practice it is
impossible to store an absolute point in time without a referential. We
have to say that a rocket launched at X given time, in UTC, EST, CET,
etc. And of course, someone in China will say that it launched at 10:30,
while in San Francisco it will have launched at 19:30, but it is THE
SAME absolute point in time.
Let’s take a related example in computer science with character
encoding. If a text is stored without the associated encoding table, the
correct meaning associated to the bits stored in memory can be lost
forever. It can become impossible for a program to guess what encoding
table should be used for a given text stored as bits, thus the glitches
that appeared a lot back in the early days of internet and document
processing.
The same can happen with date time storing, if we don’t have the
timezone associated with the absolute point in time, the information of
when it absolutely happened is lost.
It is NOT necessary to store an absolute point in time in UTC, it is
more of a standard and practical wall-clock time to be associated with
an absolute point in time. But an absolute point in time MUST be store
with a timezone, with its time referential, otherwise the information of
when it absolutely happened is lost.
For example, it is easier to pass around a date as a string in UTC, like
`2024-01-02T00:00:00Z` because it allows front-end and back-end code to
“talk” in the same standard and DST-free wall-clock time, BUT it is not
necessary. Because we have date libraries that operate on the standard
ISO timezone tables, we can talk in different timezone and let the
libraries handle the conversion internally.
It is false to say that UTC is an absolute timezone or an absolute point
in time, it is just the standard, conventional time referential, because
one can perfectly store every absolute points in time in UTC+10 with a
complex DST table and have the exactly correct absolute points in time,
without any loss of information, without having any UTC+0 dates
involved.
Thus storing an absolute point in time without a timezone associated,
for example with `timestamp` PostgreSQL data type, is equivalent to
storing a wall-clock time and then throwing away voluntarily the
information that allows to know when it absolutely happened, which is a
voluntary data-loss if the code that stores and retrieves those
wall-clock points in time don’t store the associated timezone somewhere.
This is why we use `timestamptz` type in PostgreSQL, so that we make
sure that the correct absolute point in time is stored at the exact time
we send it to PostgreSQL server, no matter the front-end, back-end and
SQL server's timezone differences.
## The JavaScript Date object
The native JavaScript Date object is now officially considered legacy
([source](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Date)),
the Date object stores an absolute point in time BUT it forces the
storage to use its execution environment timezone, and one CANNOT modify
this timezone, this is a legacy behavior.
To obtain the desired result and store an absolute point in time with an
arbitrary timezone there are several options :
- The new Temporal API that is the successor of the legacy Date object.
- Moment / Luxon / @date-fns/tz that expose objects that allow to use
any timezone to store an absolute point in time.
## How PostgreSQL stores absolute point in times
PostgreSQL stores absolute points in time internally in UTC
([source](https://www.postgresql.org/docs/current/datatype-datetime.html#DATATYPE-DATETIME-INPUT-TIME-STAMPS)),
but the output date is expressed in the server’s session timezone
([source](https://www.postgresql.org/docs/current/sql-set.html)) which
can be different from UTC.
Example with the object companies in Twenty seed database, on a local
instance, with a new “datetime” custom column :
<img width="374" height="554" alt="image"
src="https://github.com/user-attachments/assets/4394cb43-d97e-4479-801d-ca068f800e39"
/>
<img width="516" height="524" alt="image"
src="https://github.com/user-attachments/assets/b652f36a-d2e2-47a4-8950-647ca688cbbd"
/>
## Why can’t I just use the JavaScript native Date object with some
manual logic ?
Because the JavaScript Date object does not allow to change its internal
timezone, the libraries that are based on it will behave on the
execution environment timezone, thus leading to bugs that appear only on
the computers of users in a timezone but not for other in another
timezone.
In our case the `react-datepicker` library forces to use the `Date`
object, thus forcing the calendar to behave in the execution environment
system timezone, which causes a lot of problems when we decide to
display the Twenty application DATE_TIME values in another timezone than
the user system one, the bugs that appear will be of the off-by-one date
class, for example clicking on 23 will select 24, thus creating an
unreliable feature for some system / application timezone combinations.
A solution could be to manually compute the difference of minutes
between the application user and the system timezones, but that’s not
reliable because of DST which makes this computation unreliable when DST
are applied at different period of the year for the two timezones.
## Why can’t I compute the timezone difference manually ?
Because of DST, the work to compute the timezone difference reliably,
not just for the usual happy path, is equivalent to developing the
internal mechanism of a date timezone library, which is equivalent to
use a library that handles timezones.
## Using `@date-fns/tz` to solve this problem
We could have used `luxon` but it has a heavy bundle size, so instead we
rely here on `@date-fns/tz` (~1kB) which gives us a `TZDate` object that
allows to use any given timezone to store an absolute point-in-time.
The solution here is to trick `react-datepicker` by shifting a Date
object by the difference of timezone between the user application
timezone and the system timezone.
Let’s take a concerte example.
System timezone : Midway, ⇒ UTC-11:00, has no DST.
User application timezone : Auckland, NZ ⇒ UTC+13:00, has a DST.
We’ll take the NZ daylight time, so that will make a timezone difference
of 24 hours !
Let’s take an error-prone date : `2025-01-01T00:00:00` . This date is
usually a good test-case because it can generate three classes of bugs :
off-by-one day bugs, off-by-one month bugs and off-by-one year bugs, at
the same time.
Here is the absolute point in time we take expressed in the different
wall-clock time points we manipulate
Case | In system timezone ⇒ UTC-11 | In UTC | In user application
timezone ⇒ UTC+13
-- | -- | -- | --
Original date | `2024-12-31T00:00:00-11:00` | `2024-12-31T11:00:00Z` |
`2025-01-01T00:00:00+13:00`
Date shifted for react-datepicker | `2025-01-01T00:00:00-11:00` |
`2025-01-01T11:00:00Z` | `2025-01-02T00:00:00+13:00`
We can see with this table that we have the number part of the date that
is the same (`2025-01-01T00:00:00`) but with a different timezone to
“trick” `react-datepicker` and have it display the correct day in its
calendar.
You can find the code in the hooks
`useTurnPointInTimeIntoReactDatePickerShiftedDate` and
`useTurnReactDatePickerShiftedDateBackIntoPointInTime` that contain the
logic that produces the above table internally.
## Miscellaneous
Removed FormDateFieldInput and FormDateTimeFieldInput stories as they do
not behave the same depending of the execution environment and it would
be easier to put them back after having refactored FormDateFieldInput
and FormDateTimeFieldInput
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
We do not want the fields to update multiselect for upsert record
action. We want all available fields displayed by default.
This makes upsert record action closer to create record than update
record.
This PR:
- deletes WorkflowUpdateRecordBody that was common between update and
upsert and put back content into update
- creates WorkflowCreateRecordBody that is now common between create and
upsert
- simplifies shouldDisplayFormField
Before - using fields to update as update record action
<img width="546" height="823" alt="Capture d’écran 2025-10-30 à 10 00
24"
src="https://github.com/user-attachments/assets/9206bc8b-75c2-40fa-a8de-e708b6b2cd05"
/>
After - displaying all fields as create record action
<img width="546" height="823" alt="Capture d’écran 2025-10-30 à 10 00
04"
src="https://github.com/user-attachments/assets/87141a47-946f-4604-be55-f4c21ff4a3d8"
/>
## Description
- This PR address issue -
https://github.com/twentyhq/core-team-issues/issues/1768
- Added listkit bundle from tiptap which includes BulletList,
orderedList, ListItem and ListKeymap in one single import
- This bundle also includes keyboards shortcuts - `Cmd + Shift + 7` and
`Cmd + Shift + 8` for ordered and bullet list
## Visual Appearance
https://github.com/user-attachments/assets/7eff1233-8503-4854-bad2-2521898bc568
## Why this Approach
- our current version of tiptap is 3.4.2 while the latest is 3.8.0 hence
installing these versions manually would install the latest version of
3.8.0. The issue when downgrading to 3.4.2 was that Version 3.8.0 of
`@tiptap/extension-list` requires `renderNestedMarkdownContent` from
@tiptap/core
but our `@tiptap/core` version 3.4.2 doesn't export this function.
When using primitive types such as array, number and boolean, we display
a text field in filters because fieldmetadataId is empty. We should
instead support these as we would do for our own fields.
Adding also a fix for https://github.com/twentyhq/twenty/issues/15282
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Fixes - https://github.com/twentyhq/twenty/issues/15263
- Replaced `useLoadSelectedRecordsInContextStore` with
`useLoadMergeRecords` in `useOpenMergeRecordsPageInCommandMenu` for
improved functionality.
- Updated `useMergePreview`, `useMergeRecordsActions`, and
`useMergeRecordsSettings` to utilize `mergeRecordsState` instead of the
deprecated context store hook.
- Cleaned up imports and ensured consistency across merge-related hooks.
https://github.com/user-attachments/assets/453539c9-7f2b-4e8c-bfa1-3ceebca07081
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
Adds intelligent routing system that automatically selects the best
agent for user queries based on conversation context.
### Changes:
- Added `routerModel` column to workspace table for configurable router
LLM selection
- Implemented `RouterService` with conversation history analysis and
agent matching logic
- Created router settings UI in AI Settings page with model dropdown
- Removed agent-specific thread associations - threads are now
agent-agnostic
- Added real-time routing status notification in chat UI with shimmer
effect
- Removed automatic default assistant agent creation
- Renamed GraphQL operations from agent-specific to generic (e.g.,
`agentChatThreads` → `chatThreads`)
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Co-authored-by: Félix Malfait <felix@twenty.com>
# Introduction
Handling both:
- field deactivation side effect on view fields, view filters and views
- field deactivation side effect on view that targets it as
`kanbanAggregateFieldMetadataId`
- field deactivation side effect on view that targets it as
`calendarFieldMetadataId`
## Coverage
added coverage
```ts
PASS test/integration/metadata/suites/field-metadata/kanban-aggregate-field-deactivation-deletes-views.integration-spec.ts (13.132 s)
kanban-aggregate-field-deactivation-nullifies-kanban-properties
✓ should nullify kanban properties when field used as kanbanAggregateOperationFieldMetadataId is deactivated (3923 ms)
✓ should not modify views when field not used as kanbanAggregateOperationFieldMetadataId is deactivated (2958 ms)
✓ should nullify kanban properties on multiple views when they all use the same field as kanbanAggregateOperationFieldMetadataId (2542 ms)
✓ should nullify kanban properties when views have different aggregate operations on same field (3380 ms)
Test Suites: 1 passed, 1 total
Tests: 4 passed, 4 total
Snapshots: 0 total
Time: 13.154 s
```
```ts
PASS test/integration/metadata/suites/field-metadata/view-group-field-deactivation-deletes-views.integration-spec.ts (12.639 s)
view-group-field-deactivation-deletes-views
✓ should delete view when field used in view group is deactivated (3469 ms)
✓ should not delete view when field not used in view group is deactivated (3109 ms)
✓ should delete multiple views when they all use the same field in view groups (2741 ms)
✓ should handle deactivation when view has multiple view groups with different fields (3008 ms)
Test Suites: 1 passed, 1 total
Tests: 4 passed, 4 total
Snapshots: 0 total
Time: 12.664 s
```
```ts
PASS test/integration/metadata/suites/field-metadata/calendar-field-deactivation-deletes-views.integration-spec.ts (14.579 s)
calendar-field-deactivation-deletes-views
✓ should delete view when field used as calendarFieldMetadataId is deactivated (3388 ms)
✓ should not delete view when field not used as calendarFieldMetadataId is deactivated (2438 ms)
✓ should delete multiple views when they all use the same field as calendarFieldMetadataId (2635 ms)
✓ should handle deactivation when views have different calendar layouts on same field (3195 ms)
✓ should delete calendar view but not other view types when calendar field is deactivated (2682 ms)
Test Suites: 1 passed, 1 total
Tests: 5 passed, 5 total
Snapshots: 0 total
Time: 14.601 s, estimated 15 s
```
## View soft deletion
We decided to remove the soft deletion grain on all the views, in this
PR context we've only removed soft deleted validation requirement on any
view entities
## Conclusion
close https://github.com/twentyhq/core-team-issues/issues/1754
Implements permission intersection (AND logic) to prevent permission
escalation when agents act on behalf of users.
### Changes:
- **Permission Intersection**: Operations requiring both user AND agent
permissions
- **RoleContext Type**: Unified type supporting single `roleId` or
multiple `roleIds` for intersection
- **CRUD Services**: Updated to accept `roleContext` for granular
permission control
- **Agent Integration**: Chat agents now use user + agent role
intersection for all operations
- **ORM Layer**: Enhanced `getRepository` to support multi-role
permission checks
### Related:
- Part 2 of ["Acting on behalf of user" concept
PR](https://github.com/twentyhq/twenty/pull/15103)
[Closes#1661](https://github.com/twentyhq/core-team-issues/issues/1661)
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
This PR connects the chart filters settings page to the backend.
Both for persisting the filters in the chart's configuration and also
for querying with those filters.
I made sure that the filters configuration is reset in the draft if we
change the data source object.
# Introduction
This PR introduces a huge type refactor that will leverage dynamic intra
entity optimistic flat maps update in the future and also a more
granular cache invalidation enhancing performances
close https://github.com/twentyhq/core-team-issues/issues/1717
close https://github.com/twentyhq/core-team-issues/issues/1716
close https://github.com/twentyhq/core-team-issues/issues/1643
## What's done
### Comparators centralization
Comparator is now done through global configuration as const for each
metadata names
Thanks to
Note:
Definition of standard is evolving, standard is now scoped to an app.
Meaning that a manifest should be able to update its own standards
objects but on other app standards ones ? Each synchronizable entities
will have a standardOverrides ?
## Typing refactor
### `AllFlatEntityTypesByMetadataName`
**Single source of truth for the complete type ecosystem**, mapping each
metadata name to its entity types, flat entities, and migration actions:
```typescript
export type AllFlatEntityTypesByMetadataName = {
fieldMetadata: {
actions: { created: CreateFieldAction; updated: UpdateFieldAction; deleted: DeleteFieldAction; };
flatEntity: FlatFieldMetadata;
entity: FieldMetadataEntity;
};
objectMetadata: { /* ... */ };
// ... all 10 metadata types
};
```
### `ALL_METADATA_NAME_MANY_TO_ONE_RELATIONS`
**Explicitly declares database relationships** between entities with
compile-time validation:
```typescript
export const ALL_METADATA_NAME_MANY_TO_ONE_RELATIONS = {
viewField: {
view: 'viewId',
fieldMetadata: 'fieldMetadataId',
},
cronTrigger: {
serverlessFunction: 'serverlessFunctionId',
},
// ... all relations
} as const satisfies MetadataNameAndRelations;
```
### `ALL_FLAT_ENTITY_CONFIGURATION`
**Centralizes comparison and serialization logic** for each metadata
type:
```typescript
export const ALL_FLAT_ENTITY_CONFIGURATION = {
fieldMetadata: {
propertiesToCompare: ['name', 'type', 'label', 'defaultValue', /* ... */],
propertiesToStringify: ['options', 'settings', 'defaultValue'],
},
objectMetadata: {
propertiesToCompare: ['nameSingular', 'namePlural', 'isActive', /* ... */],
propertiesToStringify: [],
},
// ... all metadata types
} as const satisfies AllFlatEntityConfiguration;
```
## Combined Impact
These three configurations work together to create a **strongly-typed,
centrally-managed metadata system**:
1. **`AllFlatEntityTypesByMetadataName`** defines *what exists*
2. **`ALL_METADATA_NAME_MANY_TO_ONE_RELATIONS`** defines *how they
relate*
3. **`ALL_FLAT_ENTITY_CONFIGURATION`** defines *how to compare and
serialize them*
**Result:** Builders and validators become thin wrappers around
type-safe, configuration-driven logic instead of containing scattered,
error-prone manual implementations.
## What's next
### StandardOverrides standardization
Every metadata entity can be a standard one for a workspace if it's an
installed app, which means it might not expose the whole entity api to
be editable through an import dynamically
The standard overrides logic should not be applied to Fields and Objects
but to every entities
At the moment we have a logic of `EDITABLE_PROPERTIES` through the api,
and also `STANDARD_OVERRIDEDABLE_PROPERTIES`
This should be configuration centered like `propertiesToCompare` and
`propertiesToStringify`.
Scoping this PR to two last for the moment. As update dispatch to
standardOverrides could be considered as a side effect prefer waiting to
start the side effect refactor
### Granular Optimistic deprecation
With this new grain at runtime we will be able to add a flat entity and
dispatch its addition to related flat maps, so we don't have to describe
an optimistic method for each flat entity operations
See `addFlatEntityToFlatEntityAndRelatedEntityMapsOrThrow`
Note: Still in wip and included in this PR but about to create a new one
to integrate these utils and remove existing methods
### ValidateBuildAndRun dynamic args typed defintion
We should restrain the devxp to send expected flat maps entity as at
least from to or dependency as we now have the grain both a type lvl and
runtime to do so
It should not be possible in the devxp to forgot adding the views to the
v2 builder when passing the view field anymore ( that would lead to
permanent validation error in view field integrity checks )
## Conclusion
Thanks for reading and reviewing !
Any suggestions are more than welcomed ! ( same as for questions too ! )
This big PR implements table virtualization with an offset paging,
allowing a way more fluid UX.
It is a v1 that should be improved in the future with partial data
loading and optimization of the browser display performance of a row.
But with this PR we have the solid enough technical foundation, both
frontend and backend, to get to a smooth table UX.
Fixes and improvements after first successful round of development
(needed to have main clean) :
- [x] Delete should refresh virtualized portion only and reset all table
- [x] Fix add new : top and bottom
- [x] Table empty shouldn’t show when first loading
- [x] Fix d&d
- [x] Fix sorts
- [x] Fix drag when scrolling after a full virtual page (it throws an
error)
- [x] Si update mais qu’on a un sort ou filter, alors il faut trigger le
refresh
- [x] Reset scroll position between tables
- [x] Reset scroll shadows between tables
- [x] Setup d&n for virtual list :
https://github.com/hello-pangea/dnd/blob/main/docs/patterns/virtual-lists.md
- [x] Full table re-render when entering edit mode
- [x] Clean code and prepare for merge
Fixes https://github.com/twentyhq/core-team-issues/issues/1613 that
contains other bugs to be fixed before merge
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
# Introduction
Migrating `viewFilter` to v2 in order to migrate later the field update
side effect on view to v2 too
## What's done
- Created flat-view-filter
- flat view filter runner
- flat view filter builder
- create view filter service v2 and input transpilers
- refactor the existing view filter resolver to fix standard (
BREAKING_CHANGE on graphql api update especially ) REST stays the same
- refactored the front to consume the mutations autogenerated
## New generic tools
### Compare two flat entity
Introducing a new util to compare two flat entity, it's strictly typed
and will be added to the generic builder in a following PR
This will ease flat entity addition as won't required to create a
specific abstraction for comparison
Generic builder will expect specific constant: properties to compare and
properties to stringify
### Transform flat entity for comparison
Forked and refactor the initial existing method for flat entity business
scope and type safety
## Coverage
Migrated existing integration tests to fit new contract API
This PR does not add strong coverage on validation exceptions
Deadlines are too short
close https://github.com/twentyhq/core-team-issues/issues/1666
Filters should not cut the whole workflow. These should only stop the
branch. This PR:
- adds a new skipped status
- when a filter stops, it still goes to the next step
- the next step will execute if there is at least a successful step
- if only skipped step, it will be skipped as well
It allows to use filters in iterators.
https://github.com/user-attachments/assets/1cfca052-55c0-4ce5-9eb8-63736618d082
In [this PR](https://github.com/twentyhq/twenty/pull/14785) we got rid
of what we now call ViewFilterOperandDeprecated, a camelCase version of
ViewFilterOperand, which we thought we only used in the FE. We did not
notice that this enum was used to persist filters used in workflows,
reflected in workflowVersion and workflowRun.
As a result workflow runs were broken. [In this mitigation
PR](https://github.com/twentyhq/twenty/pull/14837) (and [this
one](https://github.com/twentyhq/twenty/pull/14841)) we updated the code
handle both enum values from ViewFilterOperandDeprecated and
ViewFilterOperand, but we still want to get rid of
ViewFilterOperandDeprecated.
the command in this PR replaces the occurences of enum values of
ViewFilterOperandDeprecated.
When this has been merged, deployed and run on the workspaces, we will
be able to remove ViewFilterOperandDeprecated altogether; that will have
to be done in 1.10 though not before.
## Summary
1. This change introduces the ability to limit how many values a
multi-value field can contain (for example: maximum number of emails,
phone numbers, links, or array items).
2. It centralizes the limit as a shared constant and type, validates
settings on the server, updates front-end types and components to
consume the setting, and adds a small settings UI so workspace admins
can change the limit per field.
3. Default behavior is preserved: if no max is configured, the existing
default (10) is used.
## **Fixes Issue:** [#14740
](https://github.com/twentyhq/twenty/issues/14740)
## Manual Test Screenshot
<img width="383" height="451" alt="Screenshot 2025-10-08 002413"
src="https://github.com/user-attachments/assets/a7704af6-10ef-4d10-b8c9-a9eeca03bfd9"
/>
### Values in fields
https://github.com/user-attachments/assets/7f59c4f7-3aca-4f83-8c04-3d44988316e3
Let me know if any changes are needed
---------
Co-authored-by: Félix Malfait <felix@twenty.com>
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Fixing
<img width="708" height="271" alt="Capture d’écran 2025-10-08 à 12 27
12"
src="https://github.com/user-attachments/assets/2f459e2f-146b-4452-8517-59f58b8a33a4"
/>
The circular-chunk warning came from computeRecordGqlOperationFilter.ts
importing from the barrel @/utils, which reexports
turnRecordFilterIntoRecordGqlOperationFilter and friends, creating a
re-export cycle across chunks.
Félix Malfait