## Summary
- Agent tools were built with the agent’s `rolePermissionConfig`, but
record CRUD ignored it and re-resolved permissions from `authContext`
(app `defaultRoleId`)
- CRUD services now pass `rolePermissionConfig` through
`CommonApiContextBuilder` and the common query runner, so repository
access matches the agent role
- Workflow/chat paths already use the same role for auth and
`rolePermissionConfig`, so their behavior should be unchanged
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## Context
Application-token API requests are not rate limited today:
`throttleQueryExecution` in the common query runner only throttles
API-key requests, per workspace. An application installed on hundreds of
workspaces (Call Recorder is on 700+) can therefore hit the API with
large synchronized bursts, as seen with the recovery crons impacting
production.
## What changed
- New rate limiter in `CommonBaseQueryRunnerService`, applied when the
auth context is an application context, using the existing
`ThrottlerService.tokenBucketThrottleOrThrow` like the per-workspace
API-key throttle. Both REST and GraphQL record operations go through
this path.
- The limiter key is `api:throttler:application:{universalIdentifier}`
with no workspace component: the budget is shared by every installation
of the application on the instance, which is what protects production
from install-count-proportional load. `universalIdentifier` was chosen
over `applicationRegistrationId` because the latter is null for
unpublished/local applications.
- Two new config variables in the `RATE_LIMITING` group:
`APPLICATION_API_RATE_LIMITING_LIMIT` (default 500) and
`APPLICATION_API_RATE_LIMITING_TTL_IN_MS` (default 60000), i.e. 500
requests/min per application across all workspaces.
- Rejections raise the existing `ThrottlerException`, already mapped by
both the REST and GraphQL exception handlers, and increment a new
`common-api-query/application-rate-limited` metric (only for throttler
rejections, so cache infrastructure failures are not reported as rate
limiting).
- Cron trigger dispatch `retryLimit` raised from 3 to 10 so throttled
logic function executions eventually run once the budget refills.
The existing per-workspace API-key throttle is unchanged (extracted to
its own method).
## Notes
- The limit is tunable per environment without a deploy pipeline change.
## Test
- `npx nx lint:diff-with-main twenty-server` clean.
- `npx nx typecheck twenty-server` clean.
- Throttler spec passes (5 tests).
---------
Co-authored-by: martmull <martin@twenty.com>
**AI Chat - Tool Executions (counters, tagged with model)**
ai-chat/tool-execution-succeeded: number of tool calls invoked by the AI
that completed without error
ai-chat/tool-execution-failed: number of tool calls invoked by the AI
that threw an error
**AI Chat - Token Usage (counters, tagged with model)**
ai-chat/input-tokens: total input tokens sent to the model across all
turns
ai-chat/output-tokens: total output tokens generated by the model
ai-chat/cache-read-tokens: input tokens served from the model's prompt
cache (cheaper)
ai-chat/cache-write-tokens: input tokens written into the prompt cache
for future reuse
**AI Chat - Latency (histograms in ms, tagged with model)**
ai-chat/turn-latency-ms: total duration of a full chat turn (from stream
start to stream end)
ai-chat/step-latency-ms: duration of a single reasoning/tool-call step
within a turn
ai-chat/ttft-ms: time-to-first-token, i.e. how long until the model
starts streaming output
**MCP - Tool Executions (counters)**
mcp/tool-execution-succeeded: number of MCP tool calls that completed
successfully
mcp/tool-execution-failed: number of MCP tool calls that threw an error
Bug fixes exposed by always-on direct execution
1. GraphQL spec compliance — data[field] = null on resolver error
direct-execution.service.ts — Changed from Promise.allSettled (which
lost the responseKey on rejection) to Promise.all with per-field
try/catch; errors now set data[responseKey] = null per spec
2. Empty object arguments skipped (extractArgumentsFromAst)
extract-arguments-from-ast.util.ts — Removed isEmptyObject check;
filter: {}, data: {} now correctly passed to resolvers instead of
silently dropped (which caused permissions to never be checked)
3. orderBy: {} factory default treated as "no ordering"
direct-execution.service.ts — Before calling the resolver, strips
orderBy: {} and orderByForRecords: {} (empty-object factory defaults
that mean "no ordering")
assert-find-many-args.util.ts / assert-group-by-args.util.ts — Accept {}
for orderBy without throwing
4. orderBy: { field: '...' } object auto-coerced to [{ field: '...' }]
array
direct-execution.service.ts — Applies GraphQL list coercion: a
non-array, non-empty orderBy object is wrapped in an array before
assertion and resolver call
5. totalCount and aggregate fields returned as strings from PostgreSQL
graphql-format-result-from-selected-fields.util.ts — Added
coerceAggregateValue that parses numeric strings to numbers for
totalCount, sum*, avg*, min*, max*, count*, percentageOf* fields
Test updates
nested-relation-queries.integration-spec.ts — Updated expected error
message from Yoga schema-validation message to direct execution resolver
message
~30 snapshot files — Updated to reflect direct execution's error
messages (different from Yoga schema-validation messages for input type
errors)
#### Direct Execution __typename & null backfill
##### __typename filling
The direct execution path now correctly derives __typename at every
level of the GraphQL response:
Connection types — CompanyConnection, CompanyEdge, Company, PageInfo
GroupBy types — TaskGroupByConnection (was incorrectly producing
TaskConnection)
Composite fields — Links, FullName, Currency, etc. handled by a
dedicated formatter (was inheriting the parent object's typename)
Previously, __typename was derived from the object's universal
identifier (a UUID), producing broken values like
20202020B3744779A56180086Cb2E17FConnection.
##### Null backfill
Selected fields missing from the resolver result are backfilled with
null, matching the standard Yoga schema behavior.
##### Integration test
A new test runs the same findMany query (with __typename at all
structural levels) through both paths — standard Yoga schema and direct
execution — and asserts identical output via toStrictEqual.
## Summary
- Consolidates duplicated auth-context-to-role-ID resolution logic
(previously in
`PermissionsService.resolveRolePermissionConfigFromAuthContext` and
`CommonBaseQueryRunnerService.getRoleIdOrThrow`) into a single pure
utility function `resolveRolePermissionConfig` in the ORM layer
- The utility is synchronous and operates on cached data
(`userWorkspaceRoleMap`, `apiKeyRoleMap`) already loaded into the
workspace context — no async calls, no service dependencies
- Adds `apiKeyRoleMap` to `ORMWorkspaceContext` (it was already in the
workspace cache, just not loaded into the ORM context)
- Removes `PermissionsService` dependency from
`NavigationMenuItemRecordIdentifierService`
- Removes `UserRoleService` and `ApiKeyRoleService` injections from
`CommonBaseQueryRunnerService`
## Test plan
- [ ] Existing typecheck passes (`npx nx typecheck twenty-server`)
- [ ] Verify record identifier resolution still works for navigation
menu items (user, system, API key, and application auth contexts)
- [ ] Verify GraphQL CRUD queries still enforce correct role-based
permissions
- [ ] Verify API key authenticated requests resolve permissions
correctly
Made with [Cursor](https://cursor.com)
Closes https://github.com/twentyhq/core-team-issues/issues/1627
**FilterArgProcessor consolidation:**
Refactored to both validate AND transform filter values in a single pass
Coerced string inputs to native types (e.g., "1" → 1, "true" → true -
useful for Rest input)
Returns transformed filter instead of just validating
Removed overrideFilterByFieldMetadata calls from all computeArgs methods
**QueryRunnerArgsFactory cleanup**
**Testing:**
Add unit testing
uncomment integration tests
Fixes https://github.com/twentyhq/core-team-issues/issues/2192
This PR implements what is necessary to re-create the query that we
build on the frontend to obtain the returned object record from a
mutation, but on the backend, which was only partially implemented for
REST API.
Usually we want to have relations with only their id and label
identifier field to have lighter payloads.
In the event we only had depth 0 fields, with this PR we have all events
with depth 1 relations.
We have depth 2 for many-to-many cases, like updateOne or updateMany
result :
- Junction tables
- Activity target tables
## Context
The previous WorkspaceAuthContext was a single interface with many
optional fields, making it unclear which fields are available in
different authentication scenarios. This made the code harder to reason
about and required runtime checks scattered throughout the codebase.
## Changes
- Introduced a discriminated union type for WorkspaceAuthContext with
four specific variants:
-> UserWorkspaceAuthContext - for authenticated users
-> ApiKeyWorkspaceAuthContext - for API key authentication
-> ApplicationWorkspaceAuthContext - for application-based auth
-> SystemWorkspaceAuthContext - for system/internal operations
- Added type guard functions (isUserAuthContext, isApiKeyAuthContext,
etc.) for safe type narrowing
- Added builder utilities (buildUserAuthContext, buildApiKeyAuthContext,
etc.) to construct each context variant with proper type safety
- Refactored WorkspaceAuthContextMiddleware to use the new builders
instead of constructing a loosely-typed object
- Moved the type definition from twenty-orm/interfaces/ to
core-modules/auth/types/ for better organization
- Updated all consumers across query runners, tool providers, and
modules to use the new type location
## Notes
- I had to query User and WorkspaceMember in some parts of tool module
that were expecting userWorkspaceId but not the rest of
UserWorkspaceAuthContext (that should be required with the new proper
type otherwise it would break a lot of logic and mostly permissions with
the newly added RLS -> This is what we expect from
UserWorkspaceAuthContext and how it's done in the "normal" path in HTTP
middleware)
- WorkspaceMember is in the cache already but ideally we should move
User (And Workspace?) in the cache as well to avoid querying the DB
after each request (this is also valid for HTTP middleware when we
hydrate the Request object btw)
## 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.
## Summary
This PR enables sorting records by fields of related objects. For
example, sorting **People by their Company's name**.
### Before
Only scalar and composite fields could be sorted. Relation fields showed
in the sort dropdown but produced errors.
### After
Many-to-One relation fields can now be sorted using the related object's
**label identifier field** (e.g., Company's `name`).
---
## Changes
### Frontend
- Added `RELATION` to sortable field types (restricted to `MANY_TO_ONE`
relations)
- New `getOrderByForRelationField()` generates nested orderBy structures
using the related object's label identifier
- Updated `turnSortsIntoOrderBy()` to handle relation fields by looking
up related object metadata
### Backend
- Extended `GraphqlQueryOrderFieldParser.parse()` to detect nested
relation ordering like `{ company: { name: 'AscNullsLast' } }`
- Returns `ParseOrderByResult` containing both `orderBy` conditions and
`relationJoins` info
- Added LEFT JOINs for relation ordering in `applyOrderToBuilder()`
- Added `addRelationOrderColumnsToBuilder()` for TypeORM DISTINCT
compatibility
### Tests
- Added unit tests for `filterSortableFieldMetadataItems`,
`getOrderByForRelationField`, and `turnSortsIntoOrderBy`
- Added integration tests covering ascending/descending order and
composite label identifiers
---
## TypeORM Bug Workaround
We encountered a significant TypeORM limitation when implementing this
feature. When using `getMany()` with `ORDER BY` on joined relation
columns, TypeORM generates a DISTINCT subquery that has specific
requirements:
### Issue 1: Alias Parsing
TypeORM's `orderBy()` method fails with **"alias not found"** when using
quoted SQL identifiers like `"company"."name"`. TypeORM internally
expects unquoted property paths (e.g., `company.name`) for its alias
resolution mechanism.
### Issue 2: setFindOptions Clears addSelect
`setFindOptions({ select })` **clears any previously added `addSelect()`
columns**. This caused `"column distinctAlias.company_name does not
exist"` errors because the relation columns needed for ORDER BY were
being removed.
### Solution
We split the logic into two methods:
1. `applyOrderToBuilder()` - adds JOINs and ORDER BY (before
`setFindOptions`)
2. `addRelationOrderColumnsToBuilder()` - adds relation columns for
SELECT (AFTER `setFindOptions`)
This ensures the relation columns are present in the final SQL query's
SELECT clause with the proper underscore aliases (`company_name`) that
TypeORM's DISTINCT subquery expects.
**Related TypeORM issue**:
https://github.com/typeorm/typeorm/issues/9921
---
## Screenshots/Demo
_Add screenshots if applicable_
Two challenges with error messages
- always provide a useful/meaningful error message for the end user
instead of the generic one. eg: show "Wrong password" and not "An error
occured"
- avoid technical details unless error regards a technical feature. eg:
show "An error occured" and not "Invalid post-hook payload."; but do
show "Invalid issuer URL." as it occurs while configuring SSO
What this PR does
- Make userFriendlyMessage mandatory for widely used
GraphqlQueryRunnerException and CommonQueryRunnerException, so that
developers are forced to ask themselves what the error message should
be, and as it contains very wide error codes (eg: "Bad request") which
should not be mapped to just one default message
- Keep userFriendlyMessage optional for service-specific exceptions (eg:
workflowStepExecutorException), but convert the error code to
userFriendlyMessage mapper to a switch case function with a typecheck
ensuring that all codes are mapped to a message. These default messages
are still overridable where they are thrown.
Removing the feature flag to enable read on replica for all workspaces.
It will still be possible to toggle off the feature by removing the env
variable `PG_DATABASE_REPLICA_URL`.
- moves applicationRoleId to application entity
- add new `APPLICATION` FieldActorSource and `APPLICATION`
JwtTokenTypeEnum value
- create a new token with applicationId when executing a function
- when applicationId is in token, check for application.defaultRole
permissions
-use twenty-shared types in `twenty-sdk/application`
- create a new import from generate called "Twenty" that you can use
directly without having to set TWENTY_API_KEY AND TWENTY_API_URL (keep
metadata or core parameter only)
- provide to serverless unique one time BEARER TOKEN to run it
Result
<img width="977" height="566" alt="image"
src="https://github.com/user-attachments/assets/e78428a0-5b13-4975-aa13-58ee3b32450c"
/>
<img width="910" height="596" alt="image"
src="https://github.com/user-attachments/assets/6ec72bf5-7655-4093-a45e-ad269595a324"
/>
<img width="741" height="568" alt="image"
src="https://github.com/user-attachments/assets/7683944c-fd79-4417-8fb2-8e4815cc112f"
/>
## 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.
First PR to implement application tokens
- add new application role in twenty-server
- move duplicated constants and types to twenty-shared
- will add role configuration utils into twenty-sdk in another PR
Validations :
- relations count (in common api)
- oneToMany relation nested count (in common)
- requested fields count (in gql)
- root resolver count (in gql)
- root resolver duplicates (in gql)
- specific complexity for metadata / nesting count (in gql)
## Problem
buildEntityMetadatas in GlobalWorkspaceOrmManager is computationally
expensive and was running on every executeInWorkspaceContext call. This
method uses
TypeORM's EntitySchemaTransformer and EntityMetadataBuilder to build
metadata for all workspace entities (30-50+ objects with many fields
each).
The resulting EntityMetadata[] is not serialisable which means it cannot
be cached in Redis because they contain:
- Circular references
- Functions/methods
- References to the DataSource instance
## Solution
Extended the workspace cache system to support local-only caching, then
created a cache provider for entityMetadatas.
## Implementation details
Updated @WorkspaceCache decorator (workspace-cache.decorator.ts)
- Added localOnly?: boolean option to skip Redis storage for
non-serializable data
Created WorkspaceEntityMetadatasCacheService
- Computes entity metadatas from DB to avoid race condition, this is
acceptable
Simplified GlobalWorkspaceOrmManager
- Now fetches entityMetadatas from cache instead of rebuilding on every
call
Updated Workspace migration runner - the only entry point where metadata
can change
- Now invalidate the new 'entityMetadata' local cache when
shouldIncrementMetadataGraphqlSchemaVersion is true (== field/object
mutations)
## Context
We've recently introduced a new workspace cache service which now acts
as a cache access and local storage for all workspace related data,
deprecating the individual specific services.
- Better performance through multiple caching/fetching strategies
- Consistent data access patterns across the codebase
- Reduced redis queries through MGET/MSET/PIPELINE with multiple cache
keys
## 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
Fixes https://github.com/twentyhq/twenty/issues/15809
## Context
We recently introduced a global datasource now consuming workspace
context from ALS store however the authContext was missing (only the
workspaceId was there) which "broke" event emission, now missing the
workspaceMemberId
This PR adds the missing authContext so we can access from anywhere in
the datasource. We are still passing it as a parameters on repository
level for legacy but in theory we should be able to remove it from
everywhere and consume the context
<img width="929" height="253" alt="Screenshot 2025-11-13 at 18 58 16"
src="https://github.com/user-attachments/assets/3e04f264-95e6-4831-94f3-fc01603f19bd"
/>
## Context
This PR introduces a Global Workspace DataSource that consolidates
workspace-specific database access through a single TypeORM DataSource
instance with AsyncLocalStorage-based context management instead of N
workspace datasources.
- Created GlobalWorkspaceDataSource extending TypeORM's DataSource to
manage multiple workspaces with entity metadata caching (1-hour TTL)
- Implemented AsyncLocalStorage for workspace context propagation
(WorkspaceContextForStorage) containing workspace ID, metadata,
permissions, and feature flags
- Modified query execution flow to wrap operations in workspace context
via GlobalWorkspaceOrmManager.executeInWorkspaceContext()
- Added schema name to entity schemas for proper multi-tenant database
separation
Next:
- use the new global workspace datasource everywhere and deprecate
workspace datasource factory
- improve metadata caching using a short TTL to avoid multiple calls to
redis
- Leverage the new WorkspaceContextALS and put it higher in the request
hierarchy to have access to permission, metadata and featureflag
everywhere --- build it manually for commands --- find a way to
propagate it in jobs?
- Remove PG_POOL patch once we have a unique datasource and increase
global datasource pool size
## Implementation
Why ALS:
1. Automatic Per-Request Isolation
With schema-based multi-tenancy, each workspace has its own PostgreSQL
schema
(e.g. workspace_20202020-1c25-4d02-bf25-6aeccf7ea419).
The critical challenge is ensuring that concurrent requests from
different tenants don't interfere with each other.
```typescript
// Request A (Workspace 1) and Request B (Workspace 2) executing concurrently
// Without ALS: Race condition — they'd share the same global state!
// With ALS: Each request has isolated context ✓
```
ALS automatically isolates context per async execution chain, so:
- Request from Tenant A → ALS stores workspaceId: "tenant-a" → Queries
hit workspace_tenant_a schema
- Request from Tenant B → ALS stores workspaceId: "tenant-b" → Queries
hit workspace_tenant_b schema
✅ No interference, even when executing simultaneously on the same
Node.js event loop.
2. No Manual Context Passing
Before ALS, you'd need to pass workspaceId through every function call:
```typescript
// ❌ Without ALS - Context threading nightmare
getRepository(workspaceId, entity)
→ createEntityManager(workspaceId)
→ getMetadata(workspaceId, target)
→ findInCache(workspaceId, cacheKey)
```
With ALS:
```typescript
// ✅ With ALS - Clean, implicit context
getRepository(entity) // Reads workspaceId from ALS
→ createEntityManager() // Reads workspaceId from ALS
→ getMetadata(target) // Reads workspaceId from ALS
→ findInCache(cacheKey) // Reads workspaceId from ALS
```
example
```typescript
override findMetadata(target: EntityTarget<ObjectLiteral>): EntityMetadata | undefined {
const context = getWorkspaceContext(); // 👈 Automatically gets the right workspace!
const { workspaceId, metadataVersion } = context;
const cacheKey = `${workspaceId}-${metadataVersion}`;
// ... returns metadata for THIS workspace's schema
}
```
3. Async Chain Propagation
Node.js operations are heavily async. ALS automatically propagates
context through:
- async/await chains
- Promise chains
- Callbacks
```typescript
executeInWorkspaceContext(workspaceId, async () => {
await prepareContext(); // Has context ✓
const results = await run(); // Has context ✓
await enrichResults(); // Has context ✓
// Even nested async operations maintain context!
await Promise.all([
saveToCache(), // Has context ✓
emitEvent(), // Has context ✓
logMetrics(), // Has context ✓
]);
});
```
5. Schema-Specific Metadata Caching
The implementation caches entity metadata per workspace + version:
```typescript
// Cache key format: "workspaceId-metadataVersion"
const cacheKey = `${workspaceId}-${metadataVersion}`;
```
Why this matters with schemas:
- Each workspace has different table structures (custom fields, objects)
- EntitySchema includes schema: "workspace_xxx" property
- Each cached metadata points to the correct schema
ALS ensures getWorkspaceContext() returns the right workspaceId,
so you always get the correct schema's metadata from cache.
6. Single DataSource for All Tenants
The key change here:
```typescript
// ❌ Old approach: One DataSource per tenant
const dataSourceTenantA = new DataSource({ schema: 'workspace_a' });
const dataSourceTenantB = new DataSource({ schema: 'workspace_b' });
// Problem: Hundreds of DB connection pools!
```
```typescript
// ✅ New approach: One shared DataSource + ALS context
const globalDataSource = new GlobalWorkspaceDataSource();
// ALS determines which schema to use at runtime
```
When you call:
```typescript
globalDataSource.getRepository('person');
```
It internally does:
```typescript
const context = getWorkspaceContext(); // Gets current tenant from ALS
const metadata = this.findMetadata('person'); // Finds metadata for THIS tenant's schema
// EntityMetadata includes: schema: "workspace_20202020-1c25..."
// TypeORM automatically queries: SELECT * FROM "workspace_20202020-1c25...".person
```
7. Request Lifecycle Example
```typescript
// 1. GraphQL request arrives: "query people { ... }"
// 2. Middleware extracts authContext.workspace.id = "tenant-a"
// 3. Query runner wraps execution in ALS:
executeInWorkspaceContext("tenant-a", async () => {
// 4. Everything inside has access to workspace context:
const repo = getRepository('person'); // ALS → tenant-a
const metadata = getMetadata('person'); // ALS → tenant-a → cache["tenant-a-v5"]
// 5. TypeORM builds query with correct schema:
// SELECT * FROM "workspace_tenant_a"."person" WHERE ...
// 6. Even nested calls work:
await saveAuditLog(); // ALS → tenant-a → correct audit schema
await emitWebhook(); // ALS → tenant-a → correct tenant webhook
});
// 7. Request completes, ALS context automatically cleaned up
```
8. Safety & Error Prevention
```typescript
// If you forget to set context:
const context = getWorkspaceContext();
// ❌ Throws: "Workspace context not set..."
// Fails fast rather than querying wrong schema!
// Can't accidentally query wrong tenant:
// Context is immutable within execution scope
```
Done ⬇️
Gql : move delete and destroy logic to common
Rest :
- rename 'delete' handler to 'destroy'
- create soft delete handlers (named 'delete') : one and many
- create destroy many handler
- update doc
--> Rest api gains NEW soft delete one/many + destroy many capabilities
closes : https://github.com/twentyhq/core-team-issues/issues/1579
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>
closes https://github.com/twentyhq/core-team-issues/issues/1418
Tested :
- findOne on Rest and Gql
### Vision
#### Common
- Common is kind of renamed Gql base resolver
- Common handles args (filter, values, ...) validation
- Common accepts depth or raw gql selected fields to compute
selectedFields
- Common is directly called by each CommonQueries (findOne, ...)
service, which extend CommonBaseQuery service
- Common sequence :
| - Parse & Validate args (args-handlers, to create)
| - Build query (query-parsers : currently in gql-query-parsers, to
move)
| - Execute query
| - Fetch relation + format
#### Rest
- Simple parsing (without metadata validation)
- Calling Common API
- Simple rest response formatting
#### Gql
- Calling Common API
Abdul Rahman
