Commit Graph

1430 Commits

Author SHA1 Message Date
martmull 65155fe50c feat(apps): add enqueueJob to run a logic function on the workers (#23527)
Closes twentyhq/core-team-issues#2742

A logic function run is capped by its own `timeoutSeconds` (900s max),
so anything that can't finish in one run — a full re-sync, a per-record
fan-out, a rate-limited third-party API — had no way to continue. This
adds a way to hand that work to the workers.

## What it looks like for an app author

```ts
import { enqueueJob } from 'twenty-sdk/logic-function';

await enqueueJob({
  logicFunctionUniversalIdentifier: '9f1c3d7e-51b8-4a29-8f0d-7c4e2a6b1d33',
  payload: { cursor: nextCursor },
  retryLimit: 3,
  priority: 2,
  delayMs: 60_000,
});
```

The target runs in its own process with its own timeout budget. The
classic shape is a function that enqueues *itself* with the next cursor
until there is nothing left.

## Changes

**twenty-shared** — `EnqueueJobInput` / `EnqueueJobOptions` /
`EnqueueJobResult` in `application`.

**twenty-server** — new `application-job` module under
`core-modules/application`, following the `application-key-value`
pattern:
- `enqueueJob` mutation on the metadata API, `@AuthApplication`-scoped
- the lookup is scoped to `applicationId` + `workspaceId` — that's the
authorization boundary, an app can only enqueue its own logic functions,
anything else is `LOGIC_FUNCTION_NOT_FOUND`
- pushes a `LogicFunctionTriggerJob` onto the existing
`logicFunctionQueue`, so the enqueued run goes through the same executor
(and the same execution throttling) as every other trigger
- the queued run inherits the caller's `userId`/`userWorkspaceId`, so
its app access token carries the same permissions as the function that
queued it

**Job options** are range-checked via `ResolverValidationPipe`, since
the values come from application code and an unbounded delay or retry
count would let an app pin work in the shared queue:

| Option | Default | Range |
|--------|---------|-------|
| `retryLimit` | `0` | `0`–`10` |
| `priority` | queue default | `1`–`10` (lower first) |
| `delayMs` | `0` | `0`–7 days |

`retryLimit` defaults to `0` rather than inheriting the server-route
path's `3`: retries re-run the whole handler, so opting in should be the
author's explicit choice.

**twenty-sdk** — `enqueueJob` in `twenty-sdk/logic-function`, same shape
as `runAgent`/`kv`.

**Docs** — new "Background Jobs" page under Extend → Apps → Logic, plus
nav and overview entries.

**Generated** — regenerated `twenty-front/src/generated-metadata` and
`twenty-client-sdk/src/metadata/generated` for the new mutation.

## Tests

- `application-job.service.spec.ts` — 5 unit tests: job options mapping,
defaults, acting-user propagation, application-scoped lookup, not-found
- `enqueue-job.integration-spec.ts` — 5 integration tests: rejects a
non-`APPLICATION_ACCESS` token, enqueues a function the app owns,
rejects a function owned by another application, rejects an unknown
identifier, rejects out-of-range options

All green locally, along with `typecheck` for
`twenty-server`/`twenty-sdk` and oxlint/oxfmt on the touched files.

## Notes for review

- The target is addressed by `universalIdentifier`, matching `runAgent({
agentUniversalIdentifier })` and
`ServerRouteDispatchResult.targetLogicFunctionUniversalIdentifier`.
Addressing by `name` would be friendlier, but logic function names
aren't validated for uniqueness within an app — happy to add it as a
convenience if you'd rather.
- `enqueueJob` returns as soon as the job is accepted; it can't return
the target's result, since the queue driver's `add` returns void.
Documented, with a pointer to the KV store for handing results back.

---
_Generated by [Claude
Code](https://claude.ai/code/session_01QrYvGonS3HMdeuMAVjs5hR)_

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---------

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2026-07-30 14:20:34 +00:00
Raphaël Bosi a3beea893d Revert the external link confirmation popup for front components (#23567)
Reverts #23270 and #23404.

Links in front components navigate natively again, with no confirmation
popup and no per-app trusted-origins state in localStorage.

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2026-07-30 12:55:55 +00:00
Paul Rastoin dbd2eac69c Let the instance upgrade version reach releases without instance commands (#23552)
Fixes the CI failure on #23520:

An upgrade version sequence has to at least contain one instance or one
workspace command
Workspaces commands do not run for the instance level and aren't
triggered automatically
Explaining this PR need

<img width="1396" height="954" alt="image"
src="https://github.com/user-attachments/assets/5455d05b-b286-482a-8914-808f55f3b0bf"
/>


```
Upload failed: App requires Twenty server >=2.26.0 but this server is 2.25.0.
```

The server really is 2.26 (`TWENTY_CURRENT_VERSION = '2.26.0'`), but
`validateServerCompatibility` resolves the instance version through
`UpgradeMigrationService.getInferredVersion()`, which reads the last row
in `core.upgradeMigration` with `workspaceId IS NULL AND isInitial =
false` and takes the version prefix off its name. Instance commands are
the only ones that write a `workspaceId`-null row, and `2-26/` ships
none (only three workspace commands), so the highest instance command in
the tree is still
`2-25-instance-command-fast-1785230296000-add-is-hidden-to-agent-message`.
A fully migrated 2.26 server infers 2.25.0, and any app declaring
`engines.twenty: ">=2.26.0"` is unpublishable.

Two defects, both of which `getWorkspaceCompletedVersion` already
avoids:

- **Not sequence-aware.** The workspace path walks the registered
sequence and only credits a version once the cursor sits on that
version's last step. The instance path just reads the cursor's prefix,
so a version contributing zero instance commands is unreachable.
- **Not status-aware.** `getLastAttemptedInstanceCommand` filters on
`attempt = MAX(attempt)` but not on status, so a *failed* 2.25 command
still made the server report 2.25.0.

## What changed

`UpgradeStatusService` gains `getInstanceCompletedVersion()`, the
instance-scope mirror of `getWorkspaceCompletedVersion`. It walks the
sequence filtered to instance steps, requires the cursor to sit on the
last instance step of its version *and* be `completed`, then advances
through any later supported version that declares no instance command at
all.

The version-skipping rule is the part that unblocks 2.26: a release with
no instance-level work has nothing for the cursor to land on, so it is
reached as soon as the last version that does have instance commands is
done. A version whose instance command exists but has not run still
holds the cursor back.

- `validateServerCompatibility` calls the new method;
`UpgradeMigrationService` is no longer a dependency of
`ApplicationVersionValidationService`.
- `getInstanceStatus` reports it as `inferredVersion`, so the upgrade
gauge metric and `upgrade:status` CLI stop showing 2.25.0 on a 2.26
server.
- `getInferredVersion` is deleted. Its one remaining caller passed a
command name, which is just `extractVersionFromCommandName`.
- Cursor resolution is extracted to
`resolve-completed-version-from-cursor.util`, now shared by both scopes;
the skip rule lives in
`advance-through-versions-without-instance-commands.util`.

The asymmetry between the two scopes is intentional and stays: instance
commands record a row per workspace as well, so workspace cursors land
on both command kinds and never had this gap.

## Testing

- `npx nx typecheck twenty-server` clean, `npx nx lint:diff-with-main
twenty-server` clean.
- 294 unit tests pass across the upgrade and application modules,
including 7 new ones for `getInstanceCompletedVersion`. Two pin the
boundary: a trailing workspace-only version is reached, a trailing
version whose instance command has not run is not.
- The fixture in `upgrade-status.service.spec.ts` used
`1.21.0`/`1.22.0`/`1.23.0`, which are real entries in
`TWENTY_PREVIOUS_VERSIONS`. With the skip rule in place that sequence
read as "every version from 2.0 onward has no instance commands" and
walked to the end, so the fixture is renumbered to `0.2x.0` to keep
those tests on cursor resolution alone.
- `failing-app-installation-workspace-version.integration-spec.ts`
already carried a comment describing this bug as a hazard it worked
around. The workaround still holds, but integration tests were not run
here (no DB in this session) — the stale comment is updated.

#23520 stays at `>=2.26.0` and unblocks once this lands.

---
_Generated by [Claude
Code](https://claude.ai/code/session_012SvBG1BB3jTaZs6LA2Wi9R)_

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2026-07-30 12:32:38 +00:00
Raphaël Bosi 38ad13655c Auto-start the workspace setup chat with a data model proposal (#23437)
https://github.com/user-attachments/assets/d447372b-c1b4-4c95-bac9-a8f8efa7d4a1



When the workspace creator lands on `/workspace-setup` after onboarding,
the AI chat now starts on its own: an invisible first message, built
server-side from the company enrichment collected in #23199, asks the
assistant to propose a data model tailored to the business. The proposal
streams in; the user never sees the prompt.

- New `startWorkspaceSetupChat` mutation: creator only, gated on
`IS_ONBOARDING_AI_CHAT_ENABLED`, available models and credits.
Idempotent per user and workspace via a `keyValuePair` pointing at the
thread, so a reload or a second tab joins the same conversation instead
of starting a new one.
- The thread holds exactly one hidden `USER` message combining the
company context and the setup instructions, which keeps the
one-hidden-message-per-thread index from #23199 satisfied. It goes
through a dedicated streaming path that never queues, so the prompt
cannot resurface as a visible message.
- The assistant only proposes. It creates nothing until the user
approves, then builds the model with the `metadata-building` skill.
Objects and fields get English names with labels in the user's language,
and the conversation continues in that language.
- With no enrichment (consumer email domain, or the integration
disabled) the kickoff still runs, and the assistant asks one short
question about the business before proposing.
- `findLatestSentUserMessage` no longer filters out hidden messages, so
a failed kickoff turn stays retryable, and the no-message chat error
surface now offers retry for stream errors.


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2026-07-30 12:06:13 +00:00
nitin 079e9b8e56 feat(dashboard): extend number format option to bar, line and pie charts (#23505)
https://discord.com/channels/1130383047699738754/1509604545381142649

Extends the Format option (Short/Full) added for the Number widget in
#21521 to bar, line and pie charts.

Format controls the numbers printed on the chart face: data labels and
the pie center metric. Axis ticks stay abbreviated and tooltips always
show the full value. Defaults to Short, so existing charts render
unchanged.

Server: nullable `numberFormat` on the bar/line/pie configuration DTOs,
exposed in the dashboard AI tool schema. No migration, configuration is
jsonb.

Deferred:
- The Format row has no visible effect while data labels are off, since
tooltips are always full.
- Number widget format defaults differ by field type (CURRENCY defaults
to Short, NUMBER to Full). Pre-existing, untouched here.


https://github.com/user-attachments/assets/0778f08a-6681-4e7a-8716-fb3026d1e01f



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2026-07-30 09:42:21 +00:00
Thomas Trompette 4ff9cba76d fix(server): stop the global catch-all filter from shadowing typed GraphQL exception filters (#23508)
## Context

Sentry
[TWENTY-SERVER-60Y](https://twenty-v7.sentry.io/issues/6633503406)
("Permission Denied: Entity performing the request does not have
permission") is still firing at full rate on `v2.25.0`: ~10.8k events in
the last 7 days, 24k total.

#23104 tried to fix it by registering
`PermissionsGraphqlApiExceptionFilter` globally via `APP_FILTER`. That
registration is correct but **inert in production**, and the integration
test added alongside it passes for a reason unrelated to prod behaviour.

## Root cause

`main.ts` registered a catch-all filter after bootstrap:

```ts
app.useGlobalFilters(new UnhandledExceptionFilter());
```

Nest builds each resolver's filter list as `[...global, ...class,
...method]`, reverses it, and selects **exactly one** matching filter —
there is no chaining. `APP_FILTER` providers are collected during module
scan; `useGlobalFilters` appends after that, so the catch-all ended up
at the head of the list:

```
1. UnhandledExceptionFilter   @Catch()     <- matches everything, wins
2. PermissionsGraphqlApiExceptionFilter    <- never reached
3. BillingGraphqlApiExceptionFilter        <- never reached
```

On a GraphQL host `UnhandledExceptionFilter` then no-ops:
`host.switchToHttp().getResponse()` returns the GraphQL args object,
`response.header` is undefined, so it hits `return;`. Nest treats a
falsy return as unhandled and rethrows the original
`PermissionsException`, which reaches the Yoga error hook as a
non-`BaseGraphQLError`, is serialized `INTERNAL_SERVER_ERROR`, and is
reported by `shouldCaptureException`.

The 28 resolvers carrying
`@UseFilters(PermissionsGraphqlApiExceptionFilter)` were unaffected —
method-level filters are evaluated before globals. Only the resolvers
relying on the global registration leaked, which is exactly the set
showing up in Sentry (`findOneApplication`,
`uploadFilesFieldFileByUniversalIdentifier`,
`UpdatePageLayoutWithTabsAndWidgets`, ...).

Two other global filters were shadowed the same way and have never run:
`BillingGraphqlApiExceptionFilter` and
`FlatEntityMapsGraphqlApiExceptionFilter`.

## Why the existing test did not catch it

`test/integration/utils/create-app.ts` builds the app from `AppModule`
directly and never executes `main.ts`, so `useGlobalFilters` does not
exist in the test process. It registered
`MockedUnhandledExceptionFilter` as an `APP_FILTER` on the root testing
module, which is collected *first* and therefore evaluated *last* — the
exact inverse of production precedence. The `findOneApplication` denial
test passed while the same query kept reporting to Sentry.

## Fix

Register `UnhandledExceptionFilter` through `APP_FILTER` on `AppModule`.
Root-module providers are scanned first, so it is collected first and
evaluated last. The filter stays global, stays catch-all, and keeps its
CORS-header role for HTTP; it simply no longer cuts in front of the
typed filters.

Un-shadowing the other two global filters means they now actually run,
so `FileStorageExceptionFilter` and
`FlatEntityMapsGraphqlApiExceptionFilter` get the `host.getType() !==
'graphql'` rethrow that `Billing` and `Permissions` already had. Without
it they would start throwing GraphQL error objects into the REST
pipeline.

`MockedUnhandledExceptionFilter` is removed: `AppModule` now supplies
the real filter in the same position, so the mock was dead weight.

## Test

Verified against a real server (not the integration harness), calling
the exact document from Sentry event `8d19eb7c` as a member with no
permission flags:

```
query ($v1:UUID){findOneApplication(id:$v1){applicationVariables{key,value}}}
```

| | response code | exceptions captured |
|---|---|---|
| before | `INTERNAL_SERVER_ERROR` | 1 |
| after | `FORBIDDEN` | 0 |

Capture count measured through the console exception-handler driver,
i.e. the same `captureExceptions` call site that is the Sentry driver in
production.

New unit spec `src/filters/__tests__/unhandled-exception.filter.spec.ts`
boots a Nest + Yoga app both ways: it asserts `FORBIDDEN` with the
`APP_FILTER` registration, and pins the shadowing behaviour of
`app.useGlobalFilters` so the pattern cannot come back unnoticed.

`granular-settings-permissions.integration-spec.ts` passes (10/10). Note
it also passes *without* this fix — the harness cannot observe
bootstrap-only configuration, which is the underlying reason #23104
shipped green. Closing that gap properly means sharing the post-`create`
bootstrap between `main.ts` and `create-app.ts`; left as a follow-up.

`file-storage-exception-filter.spec.ts` extended with a non-GraphQL host
case.

## CI follow-up

`failing-file-by-id-download.integration-spec.ts` snapshots were
updated. That REST endpoint's 403 body changed in tests from `{}` to
`{"statusCode":403,"error":"Forbidden","message":"Forbidden resource"}`.

The old `{}` was an artifact of the mock:
`MockedUnhandledExceptionFilter` rethrew, the exception escaped Nest's
handler into Express's default error handler, and supertest saw an empty
body. Production has always run the real `UnhandledExceptionFilter`,
which writes `response.status(status).json(exception.response)` — the
new snapshot. Production HTTP behaviour is unchanged by this PR: no
other global filter matches an `HttpException` (the typed ones rethrow
outside GraphQL), so the same filter handles it whether it is evaluated
first or last.
2026-07-30 07:13:00 +00:00
Etienne a276f3277f feat(workflow): pin concrete model on AI agent node creation and exclude interactive tools from workflow runs (#23447)
## Context

The AI Agent workflow node's model dropdown could show a model that was
not the one used at run time (e.g. the node displayed "Claude Haiku 4.5"
while the run log showed `openai/gpt-5.6-sol`).

Root cause: workflow agents were created with `modelId:
AUTO_SELECT_SMART_MODEL_ID`. The builder's model `Select` cannot
represent that value — auto-select ids are filtered out of the options
(`useWorkspaceAiModelAvailability`) and the pinned "default" option
remaps its value to the resolved concrete model id (`useAiModelOptions`)
— so `Select` silently fell back to `options[0]`, the alphabetically
first enabled model. Meanwhile the runtime correctly resolved
auto-select to the instance's default smart model.

## What this PR does

### 1. New workflow agents store a concrete model id

`WorkflowVersionStepOperationsWorkspaceService` now reads the
workspace's `fastModel` setting, expands it through
`AiModelRegistryService.getEffectiveModelConfig`, validates it with
`validateModelAvailability`, and stores the concrete model id — so the
dropdown displays the model that will actually run, and workflow agents
default to the cheaper fast tier instead of the smart one.

Falls back to `AUTO_SELECT_FAST_MODEL_ID` if the lookup or validation
fails (workspace missing, no AI provider configured, model disabled), so
node creation never breaks.

### 2. Exclude `search_help_center` and `navigate_app` from workflow
agent runs

`ActionToolProvider` adds both tools unconditionally, but they only make
sense in an interactive chat session (navigation targets the user's
browser; help-center search is a support tool). They are now excluded
via `WORKFLOW_AGENT_EXCLUDED_TOOL_NAMES` in `AgentAsyncExecutorService`,
alongside the existing output-navigation exclusions. Chat agents are
unaffected.

## Test coverage

- Existing specs for `WorkflowVersionStepOperationsWorkspaceService` and
`AgentAsyncExecutorService` updated/passing (new constructor deps
mocked).
- `nx typecheck twenty-server` and `lint:diff-with-main` pass.

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2026-07-29 16:48:24 +00:00
Paul Rastoin 4ec65ed08d System view tooling explicit params key naming (#23506)
# Introduction
View field system always result from a field existence, the application
universal identifier should be the related field one
Same but for views and object

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2026-07-29 14:33:40 +00:00
Paul Rastoin 0c545bcdeb [BREAKING-CHANGE] Centralize system View viewField side effect (#23081)
# Introduction

Closes https://github.com/twentyhq/core-team-issues/issues/2669

Part of the `isSystemSideEffect` engine-ownership effort. Until now, a
custom object's default **INDEX** table view (`All {objectLabelPlural}`)
and its view fields were built imperatively in `ObjectMetadataService`
with random `v4()` identifiers, while `twenty-standard` authored its own
copies with hardcoded literals. The two never converged, an object
rename could drift the view, and nothing marked these rows as
engine-owned.

This PR makes the metadata side-effect engine the **single owner** of
the INDEX view and its view fields, on name-free deterministic
identifiers, for custom and standard objects alike.

## Core design

- **Name-free deterministic identity.** The INDEX view identifier
derives from `object identifier + ViewKey.INDEX`
(`getSystemViewUniversalIdentifier`); each view-field identifier derives
from `view identifier + field identifier`
(`getViewFieldUniversalIdentifier`). An object rename (with a pinned
object identifier) keeps the same view, losslessly.
- **`isSystemSideEffect: true` is provenance.** Every INDEX view / view
field the engine emits is flagged system-owned, so manifest deletion
inference never drops it. The flag follows the view: a view field
inherits its parent view's flag.
- **The engine is the sole owner of the INDEX view.** It always emits
it; a caller providing one with the same derived identifier is a genuine
conflict surfaced by the engine's reserved-identifier collision, not
silently deferred.

## Changes

### Shared (`twenty-shared`)

- `getIndexViewUniversalIdentifier` →
`getSystemViewUniversalIdentifier`, now taking a `viewKey` (generalizes
to any singleton engine-owned view).
- Standard field identifiers extracted into a new
`STANDARD_OBJECT_FIELDS` constant, so both an object's `fields` and its
INDEX view read the same field identifiers.
- `buildStandardObjectIndexView` derives the standard INDEX view +
view-field identifiers from `STANDARD_OBJECT_FIELDS`, replacing the
hardcoded literals in `standard-object.constant.ts`.

### Metadata side-effect engine (custom objects)

- **`objectSystemFieldsAndIndexViewOnCreate`** (replaces
`objectSystemFieldsOnCreate`): on object creation, provisions the 7
reserved system fields **and** the INDEX view with one view field per
displayable system field, all `isSystemSideEffect: true`.
- **`fieldIndexViewFieldOnCreate`** (new): on field creation, provisions
the field's INDEX view field. Object created in the same batch →
visible, positioned before the system view fields; pre-existing object →
hidden, appended (preserving the historical `createOneField` behavior).
Both branches resolve the INDEX view by its derived identifier (single
map access, never a scan).
- **`fieldSystemViewFieldsOnDelete`** (new): on field deletion,
cascade-deletes every engine-owned view field displaying it.
- **`objectSystemSideEffectsOnDelete`** (extended): now also
cascade-deletes the object's engine-owned views and their view fields
(in addition to system fields, indexes, searchFieldMetadata). Every
lookup walks a foreign-key aggregator down from the deleted object, so
the work is proportional to what the object owns, never to workspace
size.
- Object-create and field-create positions are derived from the same
caller-input field list, so the INDEX view layout is contiguous with no
handler-ordering dependency.
- `view` / `viewField` added to the side-effect companion metadata names
for `fieldMetadata` and `objectMetadata`.

### Reserved-identifier invariant

A caller can never define an entity whose identifier collides with one a
system side effect produces: caller inputs are forced
`isSystemSideEffect: false` at every entry point (API and app-manifest
transpilers), and the engine raises
`RESERVED_SYSTEM_UNIVERSAL_IDENTIFIER`, aborting the operation, when a
system emission lands on a caller-claimed identifier. Covered by a new
engine-level test.

### Caller-side provisioning removed

The imperative INDEX view + view-field provisioning is removed from
`ObjectMetadataService.createOneObject`. The record-page `FIELDS_WIDGET`
view is intentionally left caller-side and deferred to the follow-up
(see below).

### `twenty-standard` convergence

Standard INDEX views and their view fields converge on the same
derived-identifier + `isSystemSideEffect: true` scheme as the engine.
`twenty-standard` syncs through the from/to migration path (which never
runs the side-effect engine), so it authors this INDEX surface itself,
matching what the engine produces for custom objects.

## Rollout

Two `2.26.0` workspace commands, running after the `2.25`
messageCampaign commands:

- `upgrade:2-26:reconcile-index-view-universal-identifier` re-owns the
INDEX views of the **twenty-standard and workspace-custom applications**
and all their view fields to the derived identifiers with
`isSystemSideEffect: true`, in a single per-workspace transaction. Each
view field identifier is keyed on the application of the **displayed
field** (an app or user column on a standard INDEX view converges too).
Soft-deleted views and view fields are skipped: one can coexist with an
active successor on the same derivation inputs and both would derive the
same identifier. Children reference the view by primary key, so the
re-own is lossless.
- `upgrade:2-26:demote-and-backfill-application-index-view` handles
**manifest-installed applications**, which never had their INDEX view
auto-provisioned: every caller-authored INDEX view of another
application is demoted to `key: null` (a plain additional view under its
manifest identifier), then every application object gets the
engine-owned INDEX view and its full view-field layout backfilled
through the migration pipeline's legacy path (no side-effect expansion),
views committed before view fields across applications since a view
field belongs to the application owning its field. Idempotent and
retry-safe: engine-owned INDEX views are neither demoted nor
re-backfilled, and view creation and view-field creation are gated
independently, so a retry after a partial failure still backfills the
missing view fields of an already-committed view.

Both support `--dry-run` and invalidate the full flat-maps closure
(parents aggregate the re-owned identifiers, children resolve them as
universal foreign keys, and page-layout widget universal configurations
resolve view PKs at cache-build time).

The `2.25` `upgrade:2-25:add-message-campaign-name-field` command is
adapted to resolve the campaign INDEX view by its INDEX key on the
object instead of by universal identifier: it now runs before the
reconcile, on workspaces still holding legacy identifiers.

## ⚠️ Breaking change

This PR **mutates 187 previously hardcoded universal identifiers** — the
standard objects' INDEX views and their view fields (the literals
removed from `standard-object.constant.ts`), now derived.

- **Handled by the `2.26` commands above** for all existing workspaces.
- **The INDEX key is now engine-reserved.** The flat view validator
rejects caller-created INDEX views (API and manifest inputs are forced
`isSystemSideEffect: false`) and enforces a single non-deleted INDEX
view per object; `view.key` is no longer a comparable/updatable
property, so no writer can promote or demote a view after creation.
`ViewManifest.key` is deprecated and ignored (manifest views are always
additional views, so old apps keep syncing and demoted views are not
promoted back); the REST/GraphQL create path now rejects `key: INDEX`.
In-repo example apps (`hello-world`, `document-generator`) no longer
declare it.
- **12 declared-but-never-seeded standard INDEX view field identifiers
deleted** (the former `preservedViewFields` on `timelineActivity`,
`workflowRun` and `workspaceMember`): after the reconcile, no workspace
row references them.
- **`computeFlatViewFieldsToCreate` now derives view field identifiers**
instead of drawing `v4()` ones, which also changes what the committed
`1-23` record-page backfill produces going forward (deliberate,
documented in-code).
- **Record-page views and view fields are not affected** (identifiers
unchanged).
- **In-repo apps: `twenty-last-contact` updated.** It was the only app
declaring explicit INDEX view fields (10 columns across `allPeople` /
`allCompanies` / `allOpportunities`) through manifest `viewFields`.
Those target identifiers are now engine-owned and derived, so the
manifest inputs no longer resolve and install failed with `View not
found`. The app now declares only its fields; the engine's
`fieldIndexViewFieldOnCreate` provisions the matching INDEX view field
automatically. No other app under `packages/twenty-apps` references any
of the 187 mutated identifiers, and apps that target standard views
point at record-page views (e.g. `real-estate` →
`opportunityRecordPageFields`) or their own objects (`twenty-partners`),
all unchanged.

### Loss of granularity for app maintainers

The engine now owns the INDEX view field of every field a caller adds to
an object, so app maintainers lose direct control over those columns.
Previously an app could target the engine-owned INDEX view with an
explicit manifest `viewField` and set its `position` and `isVisible`.
Now `fieldIndexViewFieldOnCreate` appends a **hidden** view field in
caller-input order on field creation, so:

- Columns an app previously showed at a **dedicated position** and
**visible** (e.g. `twenty-last-contact`'s last-contact columns) become
**hidden** and **appended in input order** after install.
- There is currently **no manifest way to override** the
engine-provisioned INDEX view field's position, visibility, or size.

This is a deliberate regression accepted for the sake of
single-ownership, and app maintainers should expect their INDEX columns
to move/hide after upgrading. A follow-up override API will let
maintainers reclaim per-field control over the engine-provisioned INDEX
view field.

## Testing

- Unit specs for each handler: object create (system fields + INDEX
view/view fields, override, position offset), field create (same-batch
vs existing-object, non-displayable noop, no-INDEX-view noop), field
delete, object delete (fields/indexes/searchFieldMetadata/views/view
fields cascade, reverse-relation view field on another object).
- Engine-level test for the reserved-identifier collision.
- `twenty-standard` guard test that its INDEX views/view fields stay on
the derived scheme and stay system-owned.
- Integration test: full engine provisioning of the INDEX view/view
fields on object creation, same view id preserved across an object
rename, and cascade delete on object deletion.

## Follow-up

The full record-page stack (record-page view, its view fields, view
field groups, page layout / tab / widget) is still built imperatively
and moves into the engine in
https://github.com/twentyhq/core-team-issues/issues/2721.
2026-07-29 13:32:21 +00:00
Abdul Rahman ea7863dc4e feat(ai-agent): lazy tool loading for the open-ended runAgent path (#23454)
## Context

`AgentAsyncExecutorService.executeAgent` is shared by workflow agent
nodes and the `runAgent` mutation (Slack assistant, apps). Workflow
nodes run a scoped task, so pre-loading the few explicitly-granted
object tools is fast and skips
the `learn_tools` round trip (the behavior settled in #23400 / #23358).
`runAgent` is open-ended: its role grants broad object access, so
pre-loading inlines every CRUD/action schema on every step. That is what
makes the Slack assistant take 3-4 minutes for a prompt Ask AI answers
in seconds. Confirmed still slow with #23400 merged, so this is the
payload, not object scoping.

## What

Add a `toolLoadingStrategy` to `executeAgent` (default `'preload'`, so
workflow nodes and evals are unchanged). `AgentRunService.run` opts into
`'lazy'`, which exposes a compact tool catalog in the system prompt plus
the `learn_tools` / `execute_tool` meta-tools, using composed role
permissions rather than explicit grants only, so the agent keeps broad
access without the full-payload latency.

## How

- Split tool provisioning into two focused methods on the executor; a
3-line dispatch chooses per strategy. The pre-load path is unchanged.
- `buildLazyRegistryToolset`: one reusable definition of lazy registry
provisioning (catalog + meta-tools), so the chat and agent executors can
share it.
- Extract `buildToolCatalogSection` out of `SystemPromptBuilderService`
into a `tool-provider` util so both paths format the catalog identically
(no dup).
- Replace the meta-tools' `excludeTools` denylist with a single
`isToolAllowed` predicate: the agent path passes an allowlist closed
over the shown catalog (enforced at call time), MCP passes its existing
deny predicate.

Workflow node and eval behavior is unchanged.


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2026-07-29 12:15:56 +00:00
Etienne 5ebcce0a51 feat(ai-tool): resolve and default icons in AI metadata tools (#23480)
## Context

Objects and fields created through the AI chat / MCP metadata tools
almost never get an icon, so they all render with the meaningless `123`
fallback icon. Two causes:

- The `icon` tool input was described only as `"Icon name"`, so the
model had no idea what the value space is and mostly skipped an optional
field it couldn't fill confidently.
- Any invalid name is silently swapped for `Icon123` by
`useIcons.getIcon` on the frontend, so near-misses were
indistinguishable from unset.

## What this PR does

**Guide the model** (icon names are Tabler names, which LLMs know well):
- `icon` / `targetFieldIcon` schema descriptions now state the
convention with examples (`IconBuildingSkyscraper`, `IconPaw`, …) and
ask for one to always be set
- The `metadata-building` skill gains an "Icons" section; the MCP server
instructions gain a one-line reminder

**Normalize server-side** (new `resolveIconName` util, used by all
create/update/batch metadata tool executes incl.
`relationCreationPayload.targetFieldIcon`):
- Fixes shape mistakes: raw tabler slugs (`"building-skyscraper"`),
separators, missing or lowercased `Icon` prefix
- Deliberately does NOT validate existence against the full ~4.2k icon
registry — an unknown name is harmless since the frontend falls back to
its default icon, exactly as for icons stored via the API today
- Unusable input (empty/garbage) resolves to nothing: creates fall back
to a default, updates keep the existing icon

**Fall back sensibly for fields**:
- New `FIELD_TYPE_DEFAULT_ICONS` in `twenty-shared/constants` maps every
`FieldMetadataType` to a sensible icon (mirroring the settings UI type
illustrations), applied when the model provides no usable icon — an
AI-created field always gets a meaningful icon
- Lives in twenty-shared so the frontend can reuse it later (e.g. as
`getIcon`'s custom default for fields)

The REST/GraphQL metadata APIs are untouched — this only affects the AI
tool layer.

## Test plan

- `resolve-icon-name.util.spec.ts` — canonical pass-through,
slug/prefix/separator fixes, unknown-name pass-through (FE fallback
contract), unusable inputs, icon-key dropping on updates
- `FieldTypeDefaultIcons.test.ts` — every field type mapped, all values
canonically shaped (values hand-checked against the twenty-ui
`ALL_ICONS` registry)
- `nx typecheck` twenty-server + twenty-shared, oxlint/oxfmt clean on
changed files

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2026-07-29 09:39:55 +00:00
Abdul Rahman 965e033f3f [breaking-change] fix(server): return runAgent execution failures as result errors (#23390)
## Summary

- When `executeAgent` throws, `runAgent` now returns `{ success: false,
error }` instead of a GraphQL exception
- Callers (workflows, Slack assistant, etc.) can surface the failure to
users instead of hanging or failing opaquely

Run agent exception response error format breaking-change, errors moved
from the GraphQL error channel into the response payload.

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2026-07-28 19:16:57 +00:00
Raphaël Bosi f15fabb5d9 Enrich workspace company via People Data Labs during onboarding (#23199)
https://github.com/user-attachments/assets/fb9001c4-195d-4735-898b-07ccbab01677


During onboarding, the workspace creator's work-email domain is enriched
through People Data Labs and stored client-side. The stacked
workspace-setup PR folds it into the invisible prompt that kicks off the
setup chat, so the assistant knows the company from its first reply.

- New `enrichWorkspaceCompany` mutation: throttled, creator-only, work
domains only. Off by default: requires the
`IS_WORKSPACE_COMPANY_ENRICHMENT_ENABLED` instance config variable
(default false), a `PEOPLE_DATA_LABS_API_KEY`, and the
`IS_ONBOARDING_AI_CHAT_ENABLED` workspace feature flag (the enrichment
only feeds the AI-chat workspace setup). Every attempt past the throttle
is recorded per workspace in a `keyValuePair`.
- The frontend fetches once during onboarding and stores a matched
result in localStorage. This PR does not deliver it to the model: the
hidden-message plumbing it adds (`isHidden` on `agentMessage`, excluded
from the chat UI, thread ranking and the admin transcript, included in
the model conversation) is what the stacked workspace-setup PR uses to
send the context and the setup prompt as one invisible first message.
- The PDL wire protocol (base URL, wire types, envelope parsing, error
extraction) is kept as a small self-contained copy inside the server
`company-enrichment` module. The standalone people-data-labs app keeps
its own copy; the two are intentionally not shared, since the app and
the core-engine usage are expected to evolve independently.
- `WorkspaceCompanyEnrichment` lives in `twenty-shared/workspace` so
server and front share one shape.

## Flow

```mermaid
flowchart LR
  effect[Onboarding effect] -- enrichWorkspaceCompany --> checks{creator + work domain?}
  checks -- no --> unavailable[unavailable]
  checks -- yes --> throttle{throttle 10/h/workspace}
  throttle -- limited --> transient[transientError]
  throttle -- ok --> pdl[PDL GET /company/enrich]
  pdl --> log[(keyValuePair attempt log)]
  pdl --> matched[matched]
  matched --> storage[(localStorage)]
  storage -- consumed by the stacked workspace-setup PR --> kickoff[hidden kickoff prompt]
```

1. **Onboarding effect** — mounted app-wide, fires once per session
while onboarding is in progress (before workspace activation), guarded
by a sessionStorage attempt flag and the cached value.
2. **enrichWorkspaceCompany** — metadata-schema mutation returning a
typed `WorkspaceCompanyEnrichmentResult` (`outcome` enum
`matched`/`unavailable`/`transientError` + `enrichment` JSON).
3. **Creator + work domain checks** — only the workspace's earliest
user, only non-consumer email domains, only when the config flag, API
key and `IS_ONBOARDING_AI_CHAT_ENABLED` workspace flag are all on;
anything else returns `unavailable` without consuming throttle quota.
4. **Throttle** — token bucket, 10 requests/hour per workspace, the sole
cost bound on PDL calls; when limited the mutation returns
`transientError` instead of surfacing an error.
5. **PDL call** — `GET /v5/company/enrich` with `website` +
`min_likelihood` per the PDL spec; body-level statuses win over HTTP
ones, 408/429/5xx map to `transientError`, other failures to
`unavailable`. Every attempt past the throttle is recorded (`domain`,
the pre-collapse PDL `outcome`, `httpStatus`/`message` when present,
`attemptedAt`) in a workspace-scoped `keyValuePair`.
6. **matched** — the PDL payload is mapped to
`WorkspaceCompanyEnrichment` through the same sanitizer as client input
(all fields length-capped and control-character-stripped; summary 600
chars, 8 tags max) and returned.
7. **localStorage** — the frontend stores only a matched enrichment and
never refetches it, making it the only cache; cleared on sign-out.
Non-matched outcomes are not persisted; a sessionStorage flag caps
retries at one attempt per browser session.
8. **Delivery** — out of scope here. The stacked workspace-setup PR
reads the stored enrichment and combines it with the data-model proposal
prompt into a single hidden `USER` message when the setup chat starts;
it is never injected into the system prompt.

Reviewer notes: sending the creator's email domain to a third party at
signup is not yet disclosed in onboarding copy.

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2026-07-28 13:29:43 +00:00
Etienne 902bc6db63 fix(ai-node) - scope AI agent node database tools to explicitly granted objects (#23400)
## Context

An AI agent node scoped to a single object was still loading CRUD tools
for the
whole workspace, inflating every run's prompt to ~200k tokens (~110k on
a
standard seed workspace: 146 tools across 19 objects, 18 of them system
objects). Two mechanisms caused this: the roles permissions cache
force-grants
every system object to every role (`isSystem ? true`), and blanket role
flags
(`canReadAllObjectRecords`, ...) grant all remaining objects. The
per-object
rows written by the agent Permissions tab were additive on top of that,
so
scoping an agent had almost no effect on its tool payload.

## What

**Backend: explicit grants only for the agent node**

- New opt-in flag `requireExplicitObjectGrants` on
`ToolProviderContext`, set
  only by the workflow agent executor.
- With the flag, `DatabaseToolProvider` generates CRUD tools exclusively
from
the role's explicit `objectPermission` rows: no row means no tools, and
each
verb gate reads the row directly (`canReadObjectRecords` for find tools,
`canUpdateObjectRecords` for create/update/upsert,
`canSoftDeleteObjectRecords`
for delete). A verb left null is not granted; composed defaults and the
system force-grant can no longer leak through. Composed permissions are
still
  used for `restrictedFields`.
- Explicit rows are read from the `flatObjectPermissionMaps` workspace
cache
key, fetched in the same `getOrRecompute` call as `rolesPermissions`: no
  extra query.
- Without the flag (chat, MCP, tool index, workspace stats), behavior is
unchanged: composed permissions, verified live (`getToolIndex` for an
Admin
  returns the same 245 CRUD tools as before).
- Removed the `CANNOT_ADD_OBJECT_PERMISSION_ON_SYSTEM_OBJECT` guard on
  `upsertObjectPermissions` so system objects can be granted explicitly.

**Frontend: grant system objects from the agent Permissions tab**

- The objects picker in the workflow agent side panel ends with a new
"System objects" submenu listing all active system objects; picking one
opens
  the same CRUD grant flow as regular objects.
- Permissions granted on system objects now resolve their labels in the
  existing permission list and can be deleted (both previously looked up
  non-system objects only, which would have hidden such grants).

Result: an agent granted one object ships ~10 tools instead of 146,
cutting the
prompt from ~110k tokens to a few thousand and the per-run cost
accordingly.

## Notes

- Removing the system-object guard affects the whole upsert path: user
roles
can also receive explicit system object rows via the API. A `canRead:
false`
row on a system object now takes effect at the query layer for that
role.
- The agent role is resolved as the first role of the permission config,
matching `getObjectsPermissionsFromRolePermissionConfig` (multi-role is
not
  supported yet).

## Tests

- `database-tool.provider.spec.ts`: three new cases for the flag (object
without a row emits nothing, partial row emits only granted verbs,
absent
flag keeps composed behavior even with zero rows, which guards the chat
  regression).
- `object-permission.service.spec.ts`: the system-object case now
asserts a
  successful upsert.
- Integration: dropped the failing "system object" upsert case and its
snapshot, added a successful system object upsert case. Both suites pass
  against a live server.

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2026-07-28 13:24:33 +00:00
Etienne dfea3af778 fix(ai-chat): enrich zero-output stream captures and keep client-error exceptions out of Sentry (#23426)
## What & why

Two related fixes that clean up Sentry reporting for the AI chat flow.

### 1. Enriched zero-output stream captures

The AI chat stream's rejection handler previously skipped only
`AbortError` and captured everything else to Sentry as-is. Two problems:

- The SDK's bare `NoOutputGeneratedError` carries no troubleshooting
context, so the Sentry issues were unactionable (no model, provider,
workspace, or conversation size).
- Expected interruptions (user abort, `STREAM_INTERRUPTED`) still
generated noise.

The rejection handler now handles three cases inline:

- `AbortError` and `STREAM_INTERRUPTED` are expected interruptions and
are not captured.
- `NoOutputGeneratedError` is replaced with a single error whose message
carries the full context as plain JSON: model, provider, workspace,
thread, stream, turn, message count, conversation size, elapsed time,
and the underlying stream error - recorded via a new `onError` handler,
which also keeps stream-level errors visible in the worker logs.
- Anything else is captured unchanged.

The stable message prefix and single capture site keep zero-output
events grouped separately from raw provider errors in Sentry.

### 2. Keep client-error domain exceptions out of Sentry

`BILLING_CREDITS_EXHAUSTED` (a 402, i.e. an expected "user out of
credits" condition) was landing in Sentry. Root cause: `CustomException`
carries no HTTP status, so the worker/BullMQ path hands the raw
exception to `shouldCaptureException`, which can't tell a 4xx client
error from a 5xx server error and captures everything. The GraphQL/REST
edges convert exceptions first, but background jobs bypass those
converters.

Fix, mirroring how `HttpException.getStatus()` already works:

- `CustomException` gains an intrinsic `statusCode`.
- `shouldCaptureException` skips a `CustomException` whose `statusCode <
500`, as a branch symmetric to the existing `HttpException` check. This
covers every path, including the worker.
- `BillingException` populates `statusCode` from the existing
`getBillingExceptionStatusCode` mapping, so credits-exhausted (402)
stays out of Sentry while the 500-mapped billing codes are still
captured.

Exceptions that don't set `statusCode` default to undefined and are
captured exactly as before, so other domains are unaffected until they
opt in.

## Tests

- ai-chat unit suite passes (13 suites, 76 tests).
- Existing billing exception handler tests pass.
- `typecheck` passes.

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2026-07-28 13:21:30 +00:00
Paul Rastoin ceb699c43f Message campaign backfill search field metadata (#23428)
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2026-07-28 15:07:00 +02:00
Abdul Rahman 6c66d4c862 fix(ai-agent): use a non-workflow base system prompt for programmatic agent runs (#23394)
`AgentAsyncExecutorService` hardcoded `WORKFLOW_SYSTEM_PROMPTS.BASE`, so
every caller was told "You are executing as part of a workflow
automation" and "your output may be used by downstream workflow nodes".
That is only true for the workflow AI-agent action. The `runAgent` API
(used by apps such as the call recorder) and agent evaluations got the
same framing, which does not describe how they run or where their output
goes.

The executor no longer asserts its own execution context: `executeAgent`
now takes a required `baseSystemPrompt` and each caller supplies its
own.

- Workflow AI-agent action passes `WORKFLOW_SYSTEM_PROMPTS.BASE`
(unchanged behavior)
- `runAgent` and evaluations pass the new `AGENT_RUN_BASE_SYSTEM_PROMPT`

The param is required rather than defaulted so every call site states
its context and no future caller silently inherits the wrong one.

Prompt constants are also split one export per file, with the shared
tool-usage guidance extracted into `TOOL_USAGE_STRATEGY` so both bases
compose it.

No GraphQL schema, SDK, or database changes.


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2026-07-28 11:53:31 +00:00
neo773 1e58c3073c Feat/email composer improvements (#23188)
- Move composer to dedicated page
- Add test email option
- Auto saved as draft can be revisited from `objects/messageCampaigns`
later
- Campaign stats component



https://github.com/user-attachments/assets/9e523116-e79b-496d-9c9d-3887e0c9213f



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---------

Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
2026-07-28 13:13:00 +02:00
Etienne 74260a161d fix(ai): stop double-counting cache-creation tokens in reported token totals (#23405)
## Context

Under AI SDK v6 usage normalization, `usage.inputTokens` is the **full
prompt**: fresh (noCache) + cache-read + cache-creation tokens. Our
`totalTokens` formulas still added `cacheCreationTokens` (extracted from
provider metadata) on top of `inputTokens` — a leftover from the pre-v6
SDK generation, where flat `inputTokens` excluded cache tokens. The v6
upgrade changed the semantics under the formula's feet, so every Claude
run using prompt caching reported a `totalTokens` inflated by exactly
`cacheCreationTokens`.

## Evidence, traced through AI SDK source

**1. The Anthropic provider folds cache tokens into `inputTokens`.** The
raw Anthropic API reports `input_tokens` *excluding* cache tokens; the
provider sums all three components — [`convertAnthropicMessagesUsage`,
`@ai-sdk/anthropic@3.0.84`](https://github.com/vercel/ai/blob/%40ai-sdk/anthropic%403.0.84/packages/anthropic/src/convert-anthropic-messages-usage.ts):

```ts
inputTokens: {
  total: inputTokens + cacheCreationTokens + cacheReadTokens,
  noCache: inputTokens,
  cacheRead: cacheReadTokens,
  cacheWrite: cacheCreationTokens,
}
```

**2. ai core surfaces that total as the app-visible
`usage.inputTokens`** — [`asLanguageModelUsage`,
`ai@6.0.97`](https://github.com/vercel/ai/blob/ai%406.0.97/packages/ai/src/types/usage.ts):

```ts
inputTokens: usage.inputTokens.total,
...
totalTokens: addTokenCounts(usage.inputTokens.total, usage.outputTokens.total),
```

So the SDK's own `totalTokens` is already "full prompt (incl. cache read
+ creation) + output".

**3. The value we were adding on top is the same one already inside
`inputTokens`.** The provider also exposes the raw API field in metadata
(`@ai-sdk/anthropic` dist):

```ts
const anthropicMetadata = {
  usage: response.usage,
  cacheCreationInputTokens: response.usage.cache_creation_input_tokens ?? null,
  ...
```

`extract-cache-creation-tokens.util.ts` reads exactly
`providerMetadata.anthropic.cacheCreationInputTokens` — the same
`cache_creation_input_tokens` that step 1 already folded into
`inputTokens.total`. Adding it again counts it twice.

**Worked example** (matches the new pinning test): API returns
`input_tokens: 400, cache_read_input_tokens: 600,
cache_creation_input_tokens: 200, output_tokens: 500` → app sees
`usage.inputTokens = 1200`,
`providerMetadata.anthropic.cacheCreationInputTokens = 200` → old
formula reported `1200 + 500 + 200 = 1900`; actual tokens processed:
`1700`.

All snippets are verbatim from the version tags in `vercel/ai` and match
the installed `node_modules` dists.

## Provider independence

`inputTokens + outputTokens` is correct for every provider Twenty routes
through, not just Anthropic:

- The v3 provider spec (`@ai-sdk/provider`) defines `inputTokens.total`
as "the total number of input (prompt) tokens used", with
`noCache`/`cacheRead`/`cacheWrite` as its components — and all 8
installed provider packages comply (verified in dists): `anthropic` and
`amazon-bedrock` sum the components explicitly ([`convertBedrockUsage`,
`@ai-sdk/amazon-bedrock@4.0.117`](https://github.com/vercel/ai/blob/%40ai-sdk/amazon-bedrock%404.0.117/packages/amazon-bedrock/src/convert-bedrock-usage.ts):
`total: inputTokens + cacheReadTokens + cacheWriteTokens`); `openai`,
`azure`, `google`, `mistral`, and `openai-compatible` pass through wire
values that already include cached tokens; `xai` even detects which wire
convention the API used and normalizes either way.
- The removed `cacheCreationTokens` term was already 0 for every
provider except Anthropic/Bedrock
(`extract-cache-creation-tokens.util.ts` only reads those two metadata
namespaces), so this PR is a strict no-op for OpenAI-style providers and
only removes the double-count where it existed.

Caveat: a custom `AI_PROVIDERS` entry pointing at a legacy V2-spec
provider package bypasses this normalization (ai core's shim passes flat
usage through verbatim); that path could misreport under any formula,
and none of the built-in providers use it.

## What changed

Four sites computed the inflated total:

- `ai-billing.service.ts` — `quantity` on the emitted AI token usage
event
- `chat-execution.service.ts` — chat-turn usage event
- `agent-async-executor.service.ts` — workflow-agent usage event
- `build-ai-agent-step-log.util.ts` — workflow step log (display)

The first three now compute `totalTokens = inputTokens + outputTokens`;
the step-log util uses the SDK's `usage.totalTokens` directly (it
receives the `generateText` usage object, where the field is
guaranteed). The explicit sum is used where usage objects are
hand-assembled or merged — e.g. the streaming path in
`stream-agent-chat.job.ts` builds usage literals with no `totalTokens`
field at all, so `usage.totalTokens ?? 0` would silently emit 0. Both
forms are definitionally identical where the SDK object exists, since ai
core computes `totalTokens` as `input + output` (see evidence above).

**Impact: reported/analytics quantities only.** Billed credits
(`creditsUsedMicro`) come from `computeCostBreakdown`, which already
handles the cache-inclusive convention correctly and is unchanged.

**Ops note:** `usageEvent.quantity` for cache-heavy workspaces steps
down on deploy — dashboards trending this metric may want an annotation.
Historical rows are not backfilled (per-row component fields aren't
stored, so mixed-era rows can't be reliably corrected).

## How tested

- Updated `build-ai-agent-step-log.util.spec.ts` expectation (155 → 150
with `cacheCreationTokens: 5` still present)
- New pinning test in `ai-billing.service.spec.ts`: emitted `quantity`
is 1700 (not 1900) for inclusive Anthropic usage with
`cacheCreationTokens: 200`
- New pinning test in `agent-async-executor.service.spec.ts`: emitted
total is 150 (not 180) when steps carry
`providerMetadata.anthropic.cacheCreationInputTokens`
- 3 suites / 20 tests pass; oxlint, oxfmt, and `nx typecheck
twenty-server` clean

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2026-07-28 09:59:57 +00:00
Weiko ae0ffb1373 perf: use cache for view entity lookups (#23384)
## Context

View child mutation guards resolve a parent view before checking access.
The lookup service queried PostgreSQL for a single `viewId`, even though
the same relationship already exists in the workspace flat-map cache.

With 15 guards using this service, each guarded mutation could add an
unnecessary database round trip.

## What changed

- Replace the five workspace-scoped repositories with
`WorkspaceManyOrAllFlatEntityMapsCacheService`
- Load only the flat map matching the requested child kind
- Resolve view fields, filters, filter groups, groups, and sorts by ID
- Preserve the existing `null` behavior for missing entities

Each lookup is keyed by entity ID, no workspace-wide filtering is
introduced.

## Expected impact

On a warm workspace cache, permission guards resolve the parent `viewId`
without querying PostgreSQL. Cold caches retain the normal workspace
cache recomputation behavior.

## Validation

- Typecheck reports no errors in the changed file
- Existing lookup semantics are preserved for all supported entity kinds
and missing IDs

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2026-07-28 07:54:24 +00:00
Weiko 19903f89e5 Add indexes for channel webhook subscription external IDs (#23386)
## Context

Incoming Microsoft messaging, Microsoft calendar, and Google calendar
webhook notifications resolve their channel through
`webhookSubscriptionExternalId`.

The column was added without an index, so PostgreSQL has to scan the
corresponding channel table for every notification. Under sustained
webhook traffic, these repeated scans add unnecessary database work and
keep core database connections occupied longer.

## What changed

- Add a partial B-tree index on
`messageChannel.webhookSubscriptionExternalId`
- Add the equivalent index on
`calendarChannel.webhookSubscriptionExternalId`
- Register both indexes in the TypeORM entity metadata
- Add an idempotent 2.25 fast instance upgrade command to create and
remove them

The webhook handlers and their queries remain unchanged.

## Why this design

- The indexes contain only non-null subscription IDs, channels without
an active subscription do not add index entries
- A single-column index supports both the equality lookup used by Google
and the `IN` lookup used by Microsoft
- The indexes are intentionally non-unique, this preserves existing
behavior and avoids making the upgrade fail if historical duplicate
values exist
- Subscription IDs are read much more often than they are updated, so
index maintenance overhead should be negligible

## Expected impact

Webhook channel resolution should require a targeted index lookup
instead of a table scan. This reduces database work, shortens connection
occupancy, and improves latency on webhook notification paths.

This is a targeted database optimization. It complements the database
pool changes, but is not expected to resolve every source of API tail
latency by itself.

## Validation

- Server typecheck passes
- Oxlint and formatting checks pass
- Upgrade command uses idempotent `CREATE INDEX IF NOT EXISTS` and `DROP
INDEX IF EXISTS` statements

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2026-07-28 07:54:15 +00:00
Weiko cc5ff4869d perf: use cache for role validation (#23383)
## Context

Role assignment validation queried PostgreSQL only to check whether a
role exists and whether `canBeAssignedToUsers` is enabled. Both values
already exist in `flatRoleMaps`.

This validation runs when inviting users and assigning a role to a user
workspace.

## What changed

- Replace the role repository lookup with `flatRoleMaps`
- Resolve the role through the existing keyed flat-map helper
- Preserve the existing role-not-found and role-not-assignable errors
- Replace unused TypeORM module wiring with the flat entity cache module

## Expected impact

On a warm workspace cache, role assignment validation uses an O(1) map
lookup and avoids a PostgreSQL round trip. Cold caches retain the normal
workspace cache recomputation behavior.

## Validation

- Typecheck reports no errors in the changed files
- Existing validation outcomes and exception codes are preserved

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2026-07-28 07:53:42 +00:00
Weiko 8481c76bfb perf: use cache for webhook reads (#23382)
## Context

Webhook reads queried both the webhook and application tables, then
rebuilt the same flat webhook representation already maintained by the
workspace cache.

This affected REST, GraphQL, and the webhook listing tool.

## What changed

- Read `findAll` and `findById` from `flatWebhookMaps`
- Keep `findById` as a keyed ID lookup
- Preserve `findAll` ordering by `createdAt`
- Remove unused webhook and application repository wiring

The flat webhook cache contains only active webhooks and already
includes the application universal identifier needed by the DTO
conversion.

## Expected impact

On a warm workspace cache, webhook reads avoid queries to both the
webhook and application tables. `findAll` still iterates over every
returned webhook, matching the original query's result cardinality,
while `findById` uses a keyed lookup.

## Validation

- Typecheck reports no errors in the changed files
- `findAll` ordering and `findById` missing-record behavior are
preserved

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2026-07-28 07:53:29 +00:00
Paul Rastoin 49e2272fb9 fix(workspace-migration): stop leaking workspace ids in delete action payloads (#23377)
Closes https://github.com/twentyhq/core-team-issues/issues/2732

## Problem

Workspace migration delete actions embedded the raw workspace-cache flat
entity as their `flatEntity` payload, leaking:

- `id`, `workspaceId`, `applicationId`
- raw many-to-one join columns (`objectMetadataId`,
`relationTargetFieldMetadataId`, ...)
- raw FK aggregators (`viewFieldIds`, ...)
- raw jsonb properties containing serialized relations (`settings`,
`overrides`, `configuration`)

Create actions already expose universal identifiers only. The asymmetry
made identical migrations non-portable across workspaces (payloads embed
random workspace primary keys) and caused snapshot flakiness in
integration suites.

## Fix

- Add `deleteFlatEntityForeignKeyAggregators` (raw-side counterpart of
`deleteUniversalFlatEntityForeignKeyAggregators`, following the
`flatEntityForeignKeyAggregator` /
`universalFlatEntityForeignKeyAggregator` naming of
`ALL_ONE_TO_MANY_METADATA_RELATIONS`). It strips base workspace-scoped
properties, every property registered with a `universalProperty`
counterpart in `ALL_ENTITY_PROPERTIES_CONFIGURATION_BY_METADATA_NAME`
(covers raw join columns and serialized jsonb, including cases not
modeled as many-to-one relations like `labelIdentifierFieldMetadataId`),
and raw one-to-many `...Ids` aggregators. Its scope is disjoint from the
universal-side util.
- Apply it in the delete branch of
`WorkspaceEntityMigrationBuilderService` — the single point where
delete-action `flatEntity` is attached — so the payload matches its
`MetadataUniversalFlatEntity<T>` type at runtime. Universal
`...UniversalIdentifiers` aggregators are kept (they are portable), so
`BaseUniversalDeleteWorkspaceMigrationAction` needs no type change.
- Regenerate the affected
`successful-sync-application-workspace-migration` snapshot: the delete
payload now only carries universal identifiers.

Safe downstream: the runner resolves delete targets via
`universalIdentifier` lookups in current maps and metadata events fetch
the deleted entity from maps by `entityId`; no consumer reads the
stripped properties (only create handlers consume `action.flatEntity`).

Note: the `normalizeIdCollections` mitigation flag mentioned in the
issue does not exist on `main`, so there was nothing to remove.

## Tests

- New snapshot-based unit spec for the strip util (objectMetadata and
fieldMetadata shapes, plus input immutability).
- Full twenty-server unit suite: 6922 passed.
- Integration with live DB: full `metadata/suites/application` (50
suites), object/field/index/agent metadata suites, all 26
`graphql/suites/view` suites, `failing-agent-deletion`,
`object-identifier-update-side-effect-on-view-field` — all green, no
other snapshot changes.
2026-07-27 17:30:29 +00:00
Weiko a66aacfb82 perf: deduplicate tool permission role loads (#23366)
## Context

Building the tool catalog asks every provider whether it is available
for the current role configuration. Several providers perform multiple
permission checks, so one catalog build can evaluate the same roles
repeatedly.

Previously, each `checkRolesPermissions` or `hasToolPermission` call
loaded the configured roles and their permission flags from PostgreSQL.
These queries returned data that already exists in the workspace cache:

- `flatRoleMaps` contains role settings and the IDs of assigned
permission flags
- `flatRolePermissionFlagMaps` links those assignments to permission
flag universal identifiers

This created redundant database round trips on the latency-sensitive
tool discovery path.

## What changed

Permission checks now evaluate roles from the existing workspace cache
instead of loading `RoleEntity` records and relations from PostgreSQL.

The new flow:

1. Load `flatRoleMaps` and `flatRolePermissionFlagMaps` through
`WorkspaceCacheService`
2. Resolve every role ID from `flatRoleMaps`
3. Check `canAccessAllTools` or `canUpdateAllSettings`
4. If needed, check explicit permission flags with
`flatRoleHasPermissionFlag`
5. Apply the existing union or intersection rule

This also benefits callers outside the tool registry, without adding
provider parameters or request-scoped context plumbing.

The direct agent-only role deletion path now invalidates and recomputes
the two consumed cache maps after deleting a role. This prevents that
path from leaving stale permission data behind.

## Why this is safe

The authorization behavior remains unchanged:

- `shouldBypassPermissionChecks` still grants access without loading
permission data
- A union grants access when at least one role grants it
- An intersection grants access only when every role grants it
- Base role permissions and explicitly assigned permission flags are
both supported
- Empty, duplicate, or missing role IDs fail closed
- Cache failures fail closed

This PR does not introduce a separate permission cache. It reuses the
existing workspace metadata cache and its invalidation model.

## Expected impact

On a warm workspace cache, these permission checks no longer query the
role tables. Repeated checks during catalog and schema construction
become in-memory cache lookups, reducing database pressure and avoiding
repeated network round trips.

A cold cache can still require its normal database recomputation.
Subsequent permission checks reuse the populated workspace cache.

## Test coverage

The permission service tests cover:

- Union and intersection behavior
- Base role grants
- Explicit permission flag grants
- Unrelated permission flags
- Permission bypass
- Empty, duplicate, and missing roles
- Cache failures
- No role repository query during cached evaluation

The agent-role tests also verify that deleting an unused agent-only role
refreshes the relevant cache maps, while a role that remains assigned
does not trigger deletion or invalidation.
2026-07-27 16:32:54 +00:00
Raphaël Bosi 2899058b5f Warn users before front components navigate to an external site (#23270)
https://github.com/user-attachments/assets/af3fb042-d066-4e0c-9348-f86ea92a6fcd



Front component anchors render a real host `<a>`, so clicking a link to
another domain performed an uncontrolled full-page navigation. This adds
a phishing-resistant "you're leaving Twenty" confirmation modal before
navigating to an external origin (Fixes
[#23260](https://github.com/twentyhq/twenty/issues/23260)).

The renderer intercepts external anchor clicks in
`createHtmlHostWrapper` and hands the destination to a host callback via
context; twenty-front owns the modal (reuses `ConfirmationModal`) and a
per-application list of trusted origins persisted in localStorage. A
"Don't ask again for this site" checkbox (checked by default) skips the
modal next time for that app.

Scope is external cross-origin http(s) links only; same-origin links
keep native behavior. External links always open in a new tab, so a
component can never navigate the Twenty tab away, even once its origin
is trusted. The modal is rendered by the trusted host, so components
cannot style or suppress it.

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2026-07-27 13:21:38 +00:00
neo773 3fb29db28a Feat/email settings v2 (#23180)
Settings pages changes

- Add `displayName`
- Unsubscribers Page

<img width="1496" height="844" alt="Screenshot 2026-07-22 at 8 52 15 PM"
src="https://github.com/user-attachments/assets/69bc1993-4547-4a64-83a6-b47fef1a4e40"
/>


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---------

Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
2026-07-26 22:48:30 +02:00
github-actions[bot] 763d31a859 chore: sync AI model catalog from models.dev (#23298)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

This PR updates pricing, context windows, and model availability based
on the latest data.
New models meeting inclusion criteria (tool calling, pricing data,
context limits) are added automatically.
Deprecated models are detected based on cost-efficiency within the same
model family.

**Please review before merging** — verify no critical models were
incorrectly deprecated.

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Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-07-25 08:43:55 +02:00
Etienne 4851489ebc fix(ai-chat) fix AI chat tool-output spill leaks: spill learn_tools, cap navigation tools, truncate on spill failure (#23286)
## Context

AI chat spills tool outputs larger than `MAX_INLINE_TOOL_OUTPUT_BYTES`
(16 kB) to a file and lets
the model page them back with `search_output` / `extract_json_paths`.
Three paths bypass this and
let unbounded payloads into conversation history:

1. **`learn_tools` is never spilled.** Tool schemas go inline whatever
their size.
2. **Navigation tools have no inline cap.** They are exempt from
spilling by design (they page
   spilled files), but nothing bounds their own output.
3. **Spill failure falls back to full inline.** On any spill error the
service returns the complete
   payload with only a warning appended.

## What changed

- **`learn_tools` now spills.** `createLearnToolsTool` takes `{
excludeTools?, spillLargeOutput? }`
(same shape as `createExecuteToolTool`); chat execution enables it. Only
the bulky `tools`
schemas are spilled; `message` / `notFound` / `suggestions` stay inline
and the response carries
a `spilledTools` envelope (fileId, preview, hint) pageable via
`extract_json_paths`. MCP is
  unchanged.
- **Navigation tools get a hard inline cap.** Still never spilled, but
output above 16 kB is
head+tail truncated with a marker telling the model to narrow the query
or page with `offset`.
- **Spill failure truncates instead of inlining.** The fallback returns
head+tail within the 16 kB
  budget with the original byte size in the marker, keeping the warning.
- New `truncateHeadTail` util: byte-budgeted, marker-aware, UTF-8
codepoint-safe.

## Test plan

- `tool-output-spill.service.spec.ts`: spill envelope unchanged,
under-budget passthrough,
navigation cap for both tools (budget respected, marker mentions
`offset`, no file written),
  truncated fallback on spill failure with warnings preserved.
- `learn-tools.tool.spec.ts`: no spill without the option, inline under
budget,
`message`/`notFound`/`suggestions` intact when spilled, spill-failure
warnings surfaced.
- `truncate-head-tail.util.spec.ts`: budget, head+tail+marker,
multibyte-safe cuts.
- 63 tests across 6 suites; `lint:diff-with-main` and `typecheck` green.

## Post-deploy

Watch the `AiChatToolOutputTokens` histogram (p95 should collapse to ~4k
tokens) and the
`AiChatInputTokens` / `AiChatCacheReadTokens` ratio on GPT-5-class
models.

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2026-07-24 16:57:35 +00:00
Etienne 3a1067ec6d fix(server): index page-layout FKs to fix workspace cleanup timeout (#23289)
The cleanSuspendedWorkspacesJob cron timed out every run (Sentry monitor
"a timeout check-in was detected"): hard-deleting soft-deleted
workspaces hung on `DELETE FROM core.pageLayout`, hit the 10s query
timeout, rolled back, so those workspaces were never destroyed and got
retried hourly.

Root cause: the FKs in the pageLayout -> pageLayoutTab ->
pageLayoutWidget tree had no usable index on the referencing column. The
existing indexes lead with workspaceId and are partial ("deletedAt" IS
NULL), so ON DELETE CASCADE / SET NULL fell back to full sequential
scans of the shared core tables per deleted row; on layout-heavy
workspaces this exceeded 10s.

- Add non-partial FK-column indexes on pageLayoutTab(pageLayoutId) and
pageLayoutWidget(pageLayoutTabId)

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2026-07-24 16:50:57 +00:00
Thomas Trompette d6c186a71e Fix system objects bypassing role object permission overrides (#23280)
## Bug

Fixes #23062 (security). A workspace member whose role denies all object
access could still read/mutate system-object records (messages, calendar
events, and related system objects). System objects bypassed explicit
role-level object permissions.

## Root cause

In `workspace-roles-permissions-cache.service.ts`, the per-object
permission helper resolved values as:

```ts
(isSystem ? true : (overrideValue ?? defaultValue))
```

For every non-workflow, non-workspace-member system object this forced
`read`/`update`/`softDelete`/`destroy` to `true`, so an explicit deny
override on the role was never consulted.

## Fix

Flip the precedence so an explicit role override wins, and the
`isSystem` default only applies when the role provides no override:

```ts
overrideValue ?? (isSystem ? true : defaultValue)
```

Because the override fields are `boolean | undefined`, `??` correctly
honors an explicit `false` while still falling back to the system
default (`true`) when the role has no override row for that object.

Workflow objects (settings-gated via the `WORKFLOWS` flag) and
workspace-member objects (settings-gated, always readable) are handled
in separate branches and are unchanged, so their intended defaults do
not regress.

## Testing

- `nx lint:diff-with-main twenty-server` passes.
- Typecheck: no new errors from this change (pre-existing unrelated
failures in `twenty-shared` date-filter utils only).
- Manually verified on a local instance that a deny-all role no longer
has read access to system objects.


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2026-07-24 15:49:52 +00:00
Abdul Rahman 7067f6ef88 fix: honor agent rolePermissionConfig in record CRUD (#23248)
## 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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2026-07-24 15:21:27 +00:00
Etienne 0bba75dd18 fix(ai-chat): stop duplicate tool_use ids from bricking threads (#23277)
## Issue

Some AI chat threads become permanently broken. Every turn fails with an
Anthropic 400:

messages.5.content.1: tool_use ids must be unique



The error is on the message *history*, so once a thread is in this state
every subsequent turn fails too, not just the one that triggered it. It
surfaces most visibly when aborting a thread and continuing it, but the
abort is incidental: it just replays the already-corrupted history.

## Root cause

A single tool call gets persisted as **two message parts sharing one
`toolCallId`**. Confirmed in the DB for the affected thread, one
assistant message held:

- `tool-extract_json_paths` and `dynamic-tool`, both
`toolu_01FXxxfBYP27NZEvA6AZ3AJc`
- `tool-search_output` and `dynamic-tool`, both
`toolu_01VqnFrYdGCERAc2dbG3zAyx`

On the next turn `convertToModelMessages` turns each pair into two
`tool_use` blocks with the same id, which Anthropic rejects.

## Why it happens

It is not two concurrent calls. It is one call the AI SDK classifies
inconsistently across its own stream chunks.

The chat only exposes a small set of directly-callable tools
(`execute_tool`, `learn_tools`, `load_skills`, `ask_questions`, plus
native/preloaded ones). Registry tools like `extract_json_paths` and
`search_output` are reachable only through `execute_tool`. When the
model shortcuts that and calls one directly, the name is not in the
active `ToolSet`, and the SDK does this:

1. On `tool-input-start`, `dynamic` is derived from the tool set:
`tools[name]?.type === "dynamic"`. The tool is absent, so `dynamic:
false`, and a **static** `tool-<name>` part is created.
2. On finalization the unknown tool throws `NoSuchToolError`.
`repairToolCall` intentionally skips name errors (`return null`), so the
SDK re-emits the call with a hardcoded `dynamic: true`. That error
routes to the **dynamic** path and creates a second `dynamic-tool` part
with the same id.

The UI-message builder keeps static and dynamic tool parts in separate
buckets, each searched by `toolCallId` independently, so the mid-call
static-to-dynamic flip produces two parts for one call. Both persist and
break the next turn.

## Fix

Two independent read/convert-path passes, both in
`sanitizeMessagePartsForModel` in `chat-execution.service.ts`, running
before `convertToModelMessages`:

1. **`finalizeDanglingToolParts`** now dedupes tool parts by
`toolCallId` (first-wins), keeping the `input-streaming` filter ahead of
the dedup so a leading streaming duplicate can't strand the call.
Because it runs before conversion and on the write paths too,
already-corrupted threads are un-bricked on their next turn with no
migration.
2. **`guideUncallableToolCallsToMetaTool`** addresses the behavior that
caused it: when the model calls a tool that is not directly callable, it
appends the `learn_tools` -> `execute_tool` flow to that failed tool
result, so the model reads how to reach the tool. Detection is
structural (a failed tool part whose name is not in the active tool
set), not string-matched against the SDK's error wording.

Unit tests added for both. Typecheck, lint, and the suite pass.

Note: the stale duplicate rows already in the DB are harmless (deduped
on every read); no migration is required.

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2026-07-24 14:54:13 +00:00
Félix Malfait 1fdb5605f1 feat: kanban, calendar and grouped-table layouts for relation field widgets (#23112)
## Context

A relation field widget on a record page can already embed a
record-scoped view rendered as a **table** (`FieldDisplayMode.TABLE`) —
e.g. a Company's Opportunities. This brings **kanban, calendar and
grouped-table** to that same embedded view, so the board/calendar stays
scoped to *this* record's related records (not a standalone all-records
widget — that was the earlier #23003 approach, closed).

Builds directly on the merged dashboard widget layouts (#22963), reusing
its renderer, draft/save pipeline, and settings dropdowns.

## Approach — extend the existing "Table" display mode

The relation field widget already stores a `viewId` and renders it
through the layout-agnostic `RecordTableWidgetRendererContent` (which
branches on the embedded view's `type`), scoped to the current record
via `RecordFilterValueDependenciesContext`. So rendering + persistence
already work for any widget view type — only the authoring UI and one
server gate were missing. **No new `FieldDisplayMode`, no data
migration.**

## Server

- `view-widget-upsert.service.ts`: a field widget in table display mode
(`isFieldTableWidget`) could already persist viewFields/filters/sorts
through this path, but was **blocked from updating view settings**
(`type` / group-by / calendar), pinning its embedded view to a table.
The widget-type guard earlier in the method already rejects every widget
kind other than record-table and field-table, so the now-redundant
record-table-only guard on the view-settings branch is dropped. The
allowed-widget-view-types check and the downstream group-by /
calendar-field validations still apply equally.

## Frontend

- **One merged Layout picker.** The field widget's Layout dropdown lists
**Field / Card / Table / Kanban / Calendar** in a single flat list — you
pick Kanban directly, instead of "Display as: Table" first and a
separate embedded-view layout second. Picking a view layout selects the
`TABLE` display mode under the hood, seeds the record-scoped embedded
view on first use (with a default group-by / date field), and applies
the layout in the same click. Kanban/Calendar are disabled with a hint
("Needs a Select field" / "Needs a Date field") when the relation target
can't support them — same gating as the dashboard picker. The row's icon
and description reflect the effective selection (e.g. Kanban), and the
dropdown mounts the draft-init effect so switching straight from
Field/Card to Kanban works before the table renderer has ever mounted.
- **Contextual rows** (Group by / Date field / Calendar view / Hide
empty groups) extracted from the dashboard panel into a reusable
`WidgetViewLayoutSettingsRows` (source object passed in — fixed to the
relation target; no Source / Limit rows) and surfaced under the picker
while a view layout is active. Its standalone layout row is hidden here
(`isLayoutRowHidden`) since layout lives in the merged picker.
- Reuses the dashboard draft snapshot + `upsertViewWidget` save pipeline
and the group-by/calendar dropdown components unchanged.

## Scope

- **One-to-many relations only** (matches the existing
`getFieldWidgetAvailableDisplayModes` gate; junction / many-to-many stay
table-only — a pre-existing inconsistency left untouched here).
- Field-widget **calendars inherit the dashboard's behavior** (month
read-only by default; day/week + drag-to-reschedule only behind
`IS_CALENDAR_WEEK_VIEW_ENABLED`), since it's literally the same
renderer.

## Tests

- Server integration
(`upsert-view-widget-view-settings.integration-spec.ts`): a FIELD +
TABLE widget can switch its embedded view to `KANBAN_WIDGET` (with
group-by) and `CALENDAR_WIDGET` (with date field), and the kanban
group-by validation still applies through the newly-opened path.
- Front unit: `getWidgetViewLayoutSettingsItemIds` (keyboard-nav row ids
per layout/flag/group state).

## Follow-ups (intentionally not in this PR)

- Migrate the dashboard settings panel onto the shared
`WidgetViewLayoutSettingsRows` (kept out to avoid churning the
just-merged #22963 file; behavior-preserving refactor).

https://claude.ai/code/session_01E5N87kwwZWhDtEQaP72cMf
2026-07-24 12:01:53 +02:00
github-actions[bot] 5bc97f8591 chore: sync AI model catalog from models.dev (#23242)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

This PR updates pricing, context windows, and model availability based
on the latest data.
New models meeting inclusion criteria (tool calling, pricing data,
context limits) are added automatically.
Deprecated models are detected based on cost-efficiency within the same
model family.

**Please review before merging** — verify no critical models were
incorrectly deprecated.

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Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-07-24 08:47:03 +02:00
Abdul Rahman 2c79093b74 feat: agent roleUniversalIdentifier for manifest-driven role assignment (#23206)
## Summary
- Adds optional `roleUniversalIdentifier` on `AgentManifest` /
`defineAgent` so apps can declaratively assign a role to an agent (same
config shape as `defaultRoleUniversalIdentifier`).
- Wires `agentUniversalIdentifier` as a sync many-to-one FK on
`roleTarget`, and emits a deterministic `roleTarget` from the agent
during app sync (create / update / delete).
- Enables app agents (e.g. Slack assistant) to get a role on install
without postInstall hooks or manual admin assignment.



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2026-07-24 05:57:40 +05:30
Weiko 66df0ac47c Switch application stop/start commands to Redis-backed global kill switch (#23202)
## Context

[#23183](https://github.com/twentyhq/twenty/pull/23183) introduced the
right enforcement point: every logic-function execution is rejected
centrally before consuming the shared workspace throttle when its
application is stopped.

However, its server-wide path reads PostgreSQL for every execution
attempt. A kill switch is most useful while an application is producing
abnormal load, potentially while PostgreSQL is already under pressure.
The enforcement mechanism should not add more database traffic in that
situation.

This state is also operational and temporary. It is used to troubleshoot
an application, not as durable application configuration.

## What this PR changes

- Uses one global Redis key per application universal identifier:

  ```text
  module:applications:kill-switch:{applicationUniversalIdentifier}
  ```

- Keeps the check in `LogicFunctionExecutorService`, before the
workspace execution throttle.
- Adds a 60-second process-local cache for both present and absent keys.
- Deduplicates concurrent cache refreshes, so an execution burst causes
at most one Redis read per application and process.
- Fails open when Redis cannot be read and caches that result for the
same minute, avoiding a Redis retry storm.
- Removes the database columns, upgrade command, workspace-cache
recomputation, registration lookup, and stop/start CLI commands
introduced by #23183.
- Keeps disabled queued executions non-retriable, without emitting one
warning for every skipped payload.

The switch is operated directly in Redis. For example:

```redis
SET module:applications:kill-switch:{applicationUniversalIdentifier} 1 EX 3600
DEL module:applications:kill-switch:{applicationUniversalIdentifier}
```

Any value means stopped; deleting or expiring the key means enabled.

## Why this is a better fit

| | #23183 | This PR |
|---|---|---|
| State | Durable PostgreSQL fields | Ephemeral Redis key |
| Server-wide hot path | PostgreSQL lookup per execution | At most one
Redis lookup per app/process/minute |
| Scope | Workspace and application registration | Application universal
identifier across all workspaces |
| Operational cleanup | Explicit start command | `DEL`, eviction,
restart, or operator-selected TTL |
| Database dependency during an incident | Required | None |

The trade-off is deliberate: a Redis change can take up to 60 seconds to
reach every process, and the switch is lost when the cache key
disappears. That is acceptable for a temporary troubleshooting control
and keeps the normal execution path inexpensive.

Existing in-flight functions are not interrupted. New direct or queued
executions are rejected when they reach the executor.
2026-07-23 12:29:22 +00:00
Etienne 5c825e8712 fix(ai-chat): write the stream heartbeat before the DB claim (#23198)
## Problem

Answering an `ask_questions` (select) prompt sometimes killed the turn
with
"Failed to get response. The response was interrupted before it could
finish."
The answer was swallowed and Retry rewound the whole turn. It was
intermittent,
worse on long threads and when coming back from another tab.

Reported in [discord quality
issue](https://discord.com/channels/1130383047699738754/1526875783170097172).
Confirmed in prod: ~28
`ai_chat_turn_failed_total{failure_phase="interrupted"}`
over the last 7 days (the only failure phase firing), plus matching
`the thread no longer holds this claim` worker logs around the report
time.

## Root cause

A stream is tracked by two records: the claim (`activeStreamId` in
Postgres) and
the heartbeat (a Redis key refreshed while the worker runs).
`reapDeadStream`
treats "claim set but no heartbeat" as a crashed worker and kills the
turn.

On the answer path the ordering left a window where that was falsely
true:

1. `resolvePendingQuestion` writes `activeStreamId` to Postgres (claim
set)
2. `enqueueResumeStream` reloads the thread and runs
`loadMessagesFromDB`
(reads every message and part, signs a URL per file, hundreds of ms on
long threads)
3. only then `markClaimed` writes the heartbeat

Between 1 and 3 the thread looks dead to the reaper. Worse,
`question-answered`
was published inside that window, so the client refetched, and the
refetch's
`chatStreamCatchupChunks` query runs the reaper, racing the server into
its own
setup window. The keepalive reap tick could land there too.

## Fix

Enforce one invariant everywhere: the heartbeat exists before any DB row
carries
the `activeStreamId`, so "claim without heartbeat" can only ever mean a
genuinely
dead worker.

- New `answerPendingQuestionAndResumeStream` owns the answer flow:
`markClaimed`
first, then the DB claim, then enqueue, then publish `question-answered`
(moved
after the enqueue so client refetches can't race the setup, and so we
don't tell
  the client "answered" when the enqueue failed and rolled back).
- Both failure paths clean up: clear the heartbeat if resolving fails;
restore the
  pending question and clear the heartbeat if enqueueing fails.
- `tryClaimStream` (send / retry / queue-flush) reordered the same way:
heartbeat
  before the claim, cleared if the claim is lost.
- `releaseStreamClaim` now also clears the heartbeat so failed claims
leave no orphan key.

No grace period or schema change needed: the ordering closes the race
structurally.
The Retry-rewinds-the-turn behavior is unrelated and left as a separate
follow-up.

## Testing

- New `agent-chat-streaming.service.answer.spec.ts`: heartbeat marked
before the
claim, publish only after enqueue, both failure paths restore state and
clear the key.
- Extended `agent-chat-streaming.service.claim.spec.ts`:
heartbeat-before-claim
  ordering and key cleanup on lost claim / failed enqueue.
- Full ai-chat suite green (74 tests), lint and typecheck clean.

After deploy,
`sum(increase(ai_chat_turn_failed_total{failure_phase="interrupted"}[1d]))`
trending to zero confirms the fix.

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2026-07-23 14:17:50 +02:00
Scarab Systems d1c70ab0bf Fix dashboard record table widget aggregate persistence (#23008)
## Summary

- Update dashboard record-table widget aggregate changes to write into
the widget draft while page layout edit mode is active.
- Include `aggregateOperation` when saving record-table widget view
fields through `upsertViewWidget`.
- Persist aggregate operations server-side for widget view-field create,
update, and clear flows.
- Add frontend utility tests and backend integration coverage for widget
aggregate create/update/clear behavior.

Fixes #22934.

## Why

Dashboard record-table widgets use their own draft view state while a
page layout is being edited. The aggregate footer path was resolving
fields through the normal current-view flow and then trying to persist
immediately, which can miss widget draft fields and fail before the save
flow runs.

This change keeps aggregate edits in the widget draft during page layout
editing, then saves the aggregate operation with the rest of the widget
view configuration.

## Validation

- `npx nx lint twenty-front`
- `npx nx typecheck twenty-front`
- `npx nx test twenty-front --configuration=ci`
- `npx nx build twenty-front`
- `npx nx build twenty-server`
- `npx nx lint twenty-server --configuration=ci`
- `npx nx typecheck twenty-server`
- `npx nx test twenty-server --configuration=ci`
- `npx nx jest --config ./jest-integration.config.ts --logHeapUsage
--runTestsByPath
test/integration/metadata/suites/view/upsert-view-widget.integration-spec.ts`
- `git diff --check`

Disclosure: I used AI-assisted coding tools while preparing this PR. I
reviewed the changes myself, tested them, and take responsibility for
the implementation and any follow-up revisions needed.


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2026-07-23 08:07:50 +02:00
martmull a3f4acadb1 Add workspace and server level stop commands for applications (#23183)
## Context

When an installed application misbehaves (e.g. a logic function loop
DDoSing the server or the database), we currently have no targeted way
to shut it down in production: the only kill switch is
`LOGIC_FUNCTION_TYPE=DISABLED`, which disables logic functions for the
whole instance. This PR adds an emergency stop mechanism at two levels:

- **Workspace level**: stop one installed application in its workspace.
- **Server level**: stop every application installed from an
`applicationRegistration`, across all workspaces.

## How it works

**New nullable `stoppedAt` columns** on `core.application` and
`core.applicationRegistration` (fast instance command `2.24.0`, with
`up`/`down` and `@WasIntroducedInUpgrade` decorators on the entities).

**Enforcement in a single choke point**:
`LogicFunctionExecutorService.execute()` is the funnel behind every
execution path (public route triggers, server route triggers, cron
triggers, database event triggers, workflow actions, agent tool calls,
manual GraphQL execution, install hooks). A new
`assertApplicationNotStopped` guard runs right after the flat entities
are resolved and throws `LOGIC_FUNCTION_DISABLED` (already mapped to a
403 on route triggers and handled by the GraphQL exception handler)
when:
- `flatApplication.stoppedAt` is set (workspace-level stop, read from
the cached flat application maps: zero extra runtime cost), or
- the linked registration is stopped (one indexed PK lookup, same
pattern as the existing per-execution server-variable query).

**Propagation**: the workspace-level stop invalidates and recomputes
`flatApplicationMaps` for the workspace, so all server instances pick
the flag up within the local cache TTL (100ms). The registration-level
flag is read live, so it is effective immediately.

## Ops commands

```bash
# Workspace level
yarn command:prod application:stop -a <application-id>
yarn command:prod application:start -a <application-id>

# Server level (all applications of the registration, all workspaces)
yarn command:prod application-registration:stop -r <application-registration-id>
yarn command:prod application-registration:start -r <application-registration-id>
```

Each command logs what was stopped/started and, for registrations, how
many installed applications are affected.

## Notes

- Stopped executions fail fast at the guard, so queued trigger jobs
(cron/db-event) burn a negligible amount of work while stopped.
- The two flags are independent: lifting a registration-level stop does
not clear workspace-level stops that were set individually, and vice
versa.
- Unit tests added for `ApplicationStopService`.


---
_Generated by [Claude
Code](https://claude.ai/code/session_01CjEnKUACn89aSgK1wEMH2d)_

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2026-07-22 18:30:56 +00:00
Weiko 0108a34765 Rekey metadata caches when flat map hashes change (#23164)
## Context

The `/metadata` GraphQL response cache (`ObjectMetadataItems`,
`FindAllViews`) and the workspace SDL cache were keyed on
`workspace.metadataVersion`, an integer bumped on every object/field
migration. That mechanism is legacy (the migration runner literally
calls it `getLegacyCacheInvalidationPromises`): the data plane already
moved to `WorkspaceCacheService`, which versions each flat entity map
with its own hash minted on invalidation.

Version keying had two concrete costs: the version bump was the only
proactive invalidation for `ObjectMetadataItems`, and keeping
`FindAllViews` fresh required `flushGraphQLOperation`, a full Redis
keyspace SCAN on every relevant migration. It is also the main blocker
for deprecating `metadataVersion` entirely.

This PR re-keys both caches on the flat-map hashes instead.

## What changed

**Response cache** (`use-cached-metadata.ts`): the key is now
`{operation}:{workspaceId}:{combinedDependencyHash}[:{userWorkspaceId}]:{locale}:{queryHash}`.
Each cached operation declares which flat maps its resolvers read
(`metadata-graphql-operations-to-cache.constant.ts`) plus a scope:
`ObjectMetadataItems` stays workspace-shared, `FindAllViews` is per-user
because unlisted-view visibility depends on the caller. When any
declared map changes, its hash rotates and the key rotates with it; no
flush needed. The key is resolved once per request and reused in
`onResponse`, so a rotation mid-request can never cache a response under
a fresher key than the data it was built from. If hash resolution fails,
the request is served uncached (Sentry-captured).

This also fixes three pre-existing key soundness gaps: `FindAllViews`
ignored locale although view names are translated server-side, the query
hash ignored GraphQL variables (`$viewTypes`), and mid-request version
rotation could re-key between request and response.

**SDL cache** (`workspace-graphql-schema-sdl.service.ts`): keyed on the
combined hash of the four maps the schema is generated from, taken from
the same `getOrRecomputeWithHashes` call that returns the data, so key
and content cannot skew. The `metadataVersion` read/seed block there is
gone; the Redis seed moved to `middleware.service.ts` so the
`X-Schema-Version` "refresh the page" check keeps working after the
Redis key's TTL expires.

**`WorkspaceCacheService`**: the internal pipeline now threads `{data,
hashes}` through every stage (local hit, hash validation, Redis fetch,
recompute) and the memoizer stores the pair, so returned hashes are
always consistent with returned data. New public
`getOrRecomputeWithHashes` and `getOrRecomputeCombinedHash`
(hashes-first: one MGET of the small `:hash` keys, full pipeline only
for missing ones, so cold pods never pull map payloads just to build a
key).

**Atomic pair writes** (`cache-storage.service.ts`): `mset` on the Redis
driver now delegates to the store's own `mset` (a MULTI of `SET ... PX`,
or native `MSET`), grouped by TTL. Previously it was a `Promise.all` of
independent SETs, so two concurrent recomputes could interleave and
leave one recompute's `:data` next to the other's `:hash`; with
hash-keyed caches that torn pair could persist a stale response under a
live key. `CoreEntityCacheService` writes through the same method and is
fixed for free.

**Cleanup**: `flush()` lost its `metadataVersion` parameter (always
pattern-flush per key on workspace deletion),
`METADATA_VERSIONED_WORKSPACE_CACHE_KEY` became
`HASH_KEYED_WORKSPACE_CACHE_KEYS` with the `MetadataVersion` key
relocated to `WORKSPACE_CACHE_KEYS` and the dead `ORMEntitySchemas`
entry removed.

## Deliberately unchanged

- `incrementMetadataVersion` and all its callers stay: the version still
feeds the `X-Schema-Version` check and the pinned upgrade commands.
Deprecating the column is a later stage.
- The runner's `FindAllViews` pattern-flush is kept for exactly one
release: view-only migrations never bump `metadataVersion`, so old pods
in a rolling deploy have no other invalidation signal for their
version-keyed entries. It gets deleted next release, which removes the
SCAN entirely.
- Old-shape cache entries are not migrated; they expire via the 7-day
TTL.

## Known limitations (follow-ups, not regressions)

- The plugin reads dependency hashes Redis-fresh while resolvers can
serve up to 10s-old memoized data, so a request landing right after a
migration can cache a pre-rotation response under the new key. Same
shape existed under `metadataVersion`; closing it needs request-scoped
snapshot plumbing.
- Concurrent recomputes are last-writer-wins (lost update). Fencing with
a conditional write is a follow-up.

## Validation

- Unit: response-cache plugin behavior (scope, key stash, serve-uncached
on failure, prototype-name guard), atomic `mset` batching, existing
`WorkspaceCacheService` spec passing unchanged.
- Integration: a new drift-guard spec runs the real
`ObjectMetadataItems`/`FindAllViews` operations with full frontend
selection sets against the in-process app, spies on
`WorkspaceCacheService`, and fails if resolvers read a flat map missing
from the declared dependency lists, so the constant cannot silently
drift.
- Manual against a live server: creating a field rotates the field-map
hash and the very next `ObjectMetadataItems` response contains it (hash
rotation is now its only invalidation path); warm hits are ~5ms; SDL
entries appear under hash-shaped keys via introspection.

## Suggested reading order

1. `workspace-cache.service.ts`, `workspace-cache-key.type.ts`,
`combine-cache-hashes.util.ts` (the `{data, hashes}` pipeline)
2. `use-cached-metadata.ts`,
`metadata-graphql-operations-to-cache.constant.ts`,
`metadata.module-factory.ts` (response cache)
3. `workspace-graphql-schema-sdl.service.ts`,
`workspace-cache-storage.service.ts` (SDL cache and renames)
4. `middleware.service.ts` (metadata version seed relocation)
5. `cache-storage.service.ts` (atomic writes)
6. Tests
2026-07-22 16:50:09 +00:00
Etienne f67e9c6b05 fix(ai-chat): disable Responses API storage for Azure models to stop "Item with id ... not found" stream failures (#23182)
## Problem

AI chat and workflow-agent turns on Azure-routed reasoning models (e.g.
`azure-foundry-us/gpt-5.5`) intermittently die mid-answer with:

> Failed to get response — `400 Item with id 'rs_...' not found`

## Root cause

The OpenAI Responses API is stateful: each output item gets a
server-side id (`rs_...` reasoning, `fc_...` function call). With
`store: true` (the API default), the Vercel AI SDK replays prior
assistant reasoning as `item_reference` entries that the provider must
resolve from its own storage. For reasoning models the chain-of-thought
is never returned in plaintext — it lives only as a stored referenced
item, or as `encrypted_content` requested via `include:
['reasoning.encrypted_content']` (which the SDK only auto-adds when
`store: false`).

PR #20888 (June 22) switched to the safe `store: false` mode, but only
for `AI_SDK_OPENAI`. `AI_SDK_AZURE` fell through to `default` and got no
options, so every Azure request ran in stored-reference mode. Azure's
item storage resolves those references unreliably (a server-side race —
the July 21 failure could not find the exact `rs_...` id Azure itself
had streamed seconds earlier in the same turn), and the failure is fatal
to the stream. Retries replay the same persisted references, so they can
fail again.

## Fix

Add an `AI_SDK_AZURE` case in `getCallLevelProviderOptions` that passes
`azure: { store: false }`. Both AI chat and workflow agents go through
this helper, so both paths are covered. The provider-options key for
`@ai-sdk/azure` is `azure` (its responses model is registered as
`azure.responses`); I verified the `@ai-sdk/openai@3.0.54` copy nested
inside `@ai-sdk/azure` has the same guards as the root `3.0.71`. With
`store: false` the SDK:

- auto-requests `include: ['reasoning.encrypted_content']` for reasoning
models (the `gpt-5.5` deployment name passes reasoning detection),
- replays reasoning as self-contained encrypted items instead of
server-side references,
- drops any stale unencrypted reasoning parts instead of referencing
them.

### Transition safety

Existing threads whose persisted reasoning has
`reasoningEncryptedContent: null` simply have those parts skipped on
replay. I checked prod logs for the related pairing-validation error
("was provided without its required...") and found zero occurrences
since OpenAI-direct made this same switch a month ago, so the transition
is safe.

## Testing

- Added two Azure cases to `provider-options.util.spec.ts` — all 9 pass.
- oxlint (type-aware) and oxfmt clean on the changed files.

## Post-deploy validation

Inverse of the evidence: new Azure reasoning parts should persist with
non-null `reasoningEncryptedContent`, and the Loki query below should go
quiet.


fixes :
https://discord.com/channels/1130383047699738754/1526873169124659230
2026-07-22 18:31:22 +02:00
Etienne c54ad3c0b9 feat(ai-instrumentation): fix AI histogram buckets & add tool-call duration instrumentation (#23173)
## What & why

Two related observability fixes for AI chat / agent / MCP metrics.

### 1. Widen histogram buckets (`widden-ai-histo`)

Latency percentiles for AI chat pinned at exactly **10s** on the
dashboard — not because anything times out, but because the histogram
buckets top out at 10,000.

`recordHistogram` created histograms without explicit bucket boundaries,
so the OTel SDK applied its defaults: `[0, 5, 10, 25, 50, 75, 100, 250,
500, 750, 1000, 2500, 5000, 7500, 10000]`. These were designed for small
generic values; interpreted as **ms**, the last finite bucket is exactly
10s. Every observation above 10s falls into the `+Inf` overflow bucket,
and quantile estimation clamps to the highest finite bound — so any
percentile that lands in the overflow draws a flat line at 10s.

Reality (gpt-5.5, last 30 days): 64% of turns exceed 10s (so even p50
pins at 10s), mean turn latency ~38s, max ~29min. The same 10k cap
affects the token-unit `tool-output-tokens` histograms.

**Changes:**
- `recordHistogram` now accepts an optional `bucketBoundaries`, applied
per-instrument via `advice.explicitBucketBoundaries` (supported in
`@opentelemetry/api@1.9.1`). Colocated with the metric, no
instrument-setup changes.
- Added bucket-boundary constants:
- `AI_LATENCY_MS_BUCKET_BOUNDARIES` — `[250, 500, 1000, 2500, 5000,
10000, 20000, 30000, 60000, 120000, 300000, 600000]` (250ms → 10min)
- `TOOL_OUTPUT_TOKENS_BUCKET_BOUNDARIES` — `[100, 250, 500, 1000, 2500,
5000, 10000, 25000, 50000, 100000, 250000, 500000]` (100 → 500k tokens)
- Wired boundaries into `ai-chat/turn-latency-ms`,
`ai-chat/step-latency-ms`, `ai-chat/ttft-ms` (latency) and
`ai-chat/tool-output-tokens`, `workflow-agent/tool-output-tokens`,
`mcp/tool-output-tokens` (tokens).

### 2. Instrument tool-call duration (`add-tool-duration-monitoring`)

Previously we tracked tool success/failure counts and output tokens, but
not how long each tool call took. Added a `*/tool-execution-duration-ms`
histogram for each execution path.

**Changes:**
- New metric keys: `ai-chat/tool-execution-duration-ms`,
`workflow-agent/tool-execution-duration-ms`,
`mcp/tool-execution-duration-ms`.
- New constant `TOOL_EXECUTION_DURATION_MS_BUCKET_BOUNDARIES` — `[25,
50, 100, 250, 500, 1000, 2500, 5000, 10000, 30000, 60000, 120000]` (25ms
→ 2min).
- **AI chat / agent node**: use the AI SDK's
`experimental_onToolCallFinish` callback (`ai@6.0.97`), which reports an
exact `durationMs` measured around the tool's `execute()`, plus
`toolCall.toolName` and `success`. Attributes `{ model, tool }`.
- **MCP**: measured directly around `tool.execute` with
`performance.now()`, recorded on both success and failure paths.
Attributes `{ tool }`.

## Notes

- Backward-compatible: metrics without `bucketBoundaries` (e.g.
`job/latency-ms`, `sdk-client-generation/duration-ms`) keep OTel
defaults.
- **Historical data stays clamped** — only writes after deploy use the
new buckets, so percentile panels will show a step change at deploy
time. For truth on existing data, use a mean panel (Sum/Count is exact)
or Sentry trace span durations.
- Provider-executed tools (e.g. native web search) run inside the
provider, so they don't emit a local duration — same limitation as the
existing tool counters.

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2026-07-22 17:51:06 +02:00
Abdul Rahman 04d1c2035c feat(connections): run a logic function on connection provider connect (#23167)
## What

Adds an optional `onConnectLogicFunctionUniversalIdentifier` field to
the connection provider manifest. When set, the referenced logic
function is dispatched right after an OAuth connection is successfully
established for that provider.

This gives apps a first-class "on connect" hook — e.g. the Slack app can
resolve the workspace's `team_id` via `auth.test` and claim the `team_id
-> workspaceId` mapping in the SERVER key-value store immediately on
connect, instead of racing against later events.

Follow-up to the app key-value store PR (#23089).

## How

- **twenty-shared**: add `onConnectLogicFunctionUniversalIdentifier` to
`ConnectionProviderManifest`.
- **twenty-sdk**: expose the field in `defineConnectionProvider` and
validate it is a UUID `universalIdentifier`.
- **twenty-server**:
- add a nullable `onConnectLogicFunctionUniversalIdentifier` column to
`ConnectionProviderEntity` (+ fast instance command / migration).
  - map the field through the

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2026-07-22 17:38:01 +02:00
Thomas Trompette 25f28ee299 Fix TWENTY-SERVER-60Y: register permissions exception filter globally (#23104)
## Context

Sentry
[TWENTY-SERVER-60Y](https://twenty-v7.sentry.io/issues/6633503406)
("Permission Denied: Entity performing the request does not have
permission") has ~12.9k occurrences / 151 users. It groups by the shared
throw site `settings-permission.guard.ts:57`, so it's a **catch-all
bucket** for settings-permission denials across many resolvers, not a
single operation. Sampled events include `findOneApplication` (app
runtimes reading their own `applicationVariables`),
`uploadFilesFieldFileByUniversalIdentifier`,
`UpdatePageLayoutWithTabsAndWidgets`, `CreateFileUpload`, etc.

## Root cause

Settings-permission denials are only converted to a client-appropriate
`FORBIDDEN` when a resolver manually attaches
`PermissionsGraphqlApiExceptionFilter`. **28** GraphQL resolvers do;
**~35** guarded resolvers do not. On those, the guard-thrown
`PermissionsException` (a `CustomException`, not a `BaseGraphQLError`)
falls through to the Yoga error hook, is serialized as
`INTERNAL_SERVER_ERROR`, and `shouldCaptureException` reports it to
Sentry as a 500-class error.

REST is not affected: every `SettingsPermissionGuard` controller already
carries `PermissionsRestApiExceptionFilter` (15/15).

## Fix

Register `PermissionsGraphqlApiExceptionFilter` globally via
`APP_FILTER` in the core and metadata engine modules, mirroring the
existing global GraphQL filters `BillingGraphqlApiExceptionFilter` and
`FlatEntityMapsGraphqlApiExceptionFilter`. The filter is guarded on the
GraphQL context (`host.getType()`), so REST keeps its existing
per-controller filter untouched and no request-scoped dependency is
pulled into a global provider.

Every settings-guarded resolver now returns `FORBIDDEN` for denials,
which is both the correct client error code and excluded from Sentry.
Existing per-resolver
`@UseFilters(PermissionsGraphqlApiExceptionFilter)` entries remain valid
(handler-scoped takes precedence, identical result); collapsing them
into the global registration is a possible follow-up.

## Test

Added a case to `granular-settings-permissions.integration-spec.ts`: a
member without the `APPLICATIONS` flag calling
`findOneApplication{applicationVariables{key value}}` (the exact Sentry
query, and a resolver with **no** resolver-scoped filter) must receive
`FORBIDDEN`, exercising the global filter.

Verified against the local test DB:
- With the global filter: passes (`FORBIDDEN`).
- Without it: fails with `INTERNAL_SERVER_ERROR`, reproducing the leak.
- The existing roles / workspace-members / api-keys denial tests
(per-resolver filters) still pass, confirming no precedence conflict and
no boot issue from dual `APP_FILTER` registration.

Fixes TWENTY-SERVER-60Y
2026-07-22 12:10:49 +02:00
Abdul Rahman 4c4a154d31 key-value storage for applications (#23089)
## What

Key-value storage for applications, as proposed in
twentyhq/core-team-issues#2391 — built on the existing `keyValuePair`
entity:

- Nullable `applicationId` relation on `keyValuePair` + a new
`APPLICATION_VARIABLE` type (fast instance command included)
- GraphQL CRUD on the metadata schema (`appKeyValue`, `setAppKeyValue`,
`deleteAppKeyValue`), requiring an `APPLICATION_ACCESS` token —
`applicationId` always comes from the token, never from arguments, so
apps can't touch each other's entries
- `kv.get` / `kv.set` / `kv.delete` helpers in
`twenty-sdk/logic-function`

## Scopes

- **`INSTALL`** (default): entries are private to one workspace install;
arbitrary JSON values
- **`GLOBAL`**: entries are shared across every install of the app, with
claim semantics — the value is always the claiming `workspaceId` and
only that workspace can overwrite or delete the key (guarded writes,
race-safe via insert-if-absent)

Since `applicationId` identifies an install (one row per workspace),
GLOBAL entries are stored under the registration owner workspace's
install so all installs of the same app share one namespace.

The GLOBAL scope is what enables cross-workspace webhook routing: e.g.
the Slack app's `serverRoute` resolver (running in the owner workspace)
can resolve `kv.get('slack:team:' + team_id, { scope: 'GLOBAL' })` to
find the workspace that connected that Slack team — without a workspace
being able to hijack another's mapping.

## Follow-ups

- Wire the Slack assistant PR (#22984) to write the claim at connect
time and read it in the events resolver
- `kv.*` access from front components

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2026-07-22 11:19:44 +02:00
github-actions[bot] 7fa3c5c77b chore: sync AI model catalog from models.dev (#23143)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

This PR updates pricing, context windows, and model availability based
on the latest data.
New models meeting inclusion criteria (tool calling, pricing data,
context limits) are added automatically.
Deprecated models are detected based on cost-efficiency within the same
model family.

**Please review before merging** — verify no critical models were
incorrectly deprecated.

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-07-22 08:48:42 +02:00
Weiko 28adcbffb9 Remove dead code from legacy metadataVersion cache mechanism (#23122)
- Drop unused setORMEntitySchema/getORMEntitySchema from
WorkspaceCacheStorageService
- Drop MetadataObjectMetadataMaps cache key, only referenced by the
flush loop
- Drop never-populated workspaceMetadataVersion field from workspace
auth context type and builders
- Drop unthrown TwentyORMExceptionCode.METADATA_VERSION_MISMATCH
- Drop unused WorkspaceMetadataVersionModule imports in field-metadata
and object-metadata modules

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2026-07-21 18:52:51 +02:00
Paul Rastoin 71a1ff7ac8 Cache twenty-client-sdk modules host-side via content-addressed URLs (#22981)
## Context

Front component sources are fetched host-side and integrity-verified by
the SHA-256 checksum embedded in their URL, cached in Cache Storage — a
layer that exists specifically because their download URLs are presigned
and rotate. The `twenty-client-sdk` modules (`core` and `metadata`) were
re-fetched on every render and could not be cached safely: their URLs
carried no checksum and the server exposed no freshness signal.

This PR makes the SDK module URLs **content-addressed** and relies on
the **browser HTTP cache** for immutability, and it keys the checksums
on their real owners: the **application** for `core`, the **instance**
for `metadata`. The checksum does double duty: cache invalidation
(regeneration changes the checksum → the URL changes → guaranteed cache
miss) and a server-side cacheability guard (the server only grants
`immutable` when the checksum in the URL matches the authoritative
checksum it knows for that module — persisted at generation time for
`core`, hashed once at bootstrap for `metadata` — so no per-request
hashing of the served bytes). Note this is **not** an end-to-end
integrity guarantee: there is no client-side hash verification, and on a
fingerprint mismatch the server still serves the current bytes with
`no-store` (self-healing for stale URLs) rather than failing.

<img width="2412" height="926" alt="image"
src="https://github.com/user-attachments/assets/d97935d2-0fdb-4c44-89ac-596b7ca8ca64"
/>

Closes twentyhq/core-team-issues#2688.

## Routes

| Module | URL | Scope |
| --- | --- | --- |
| `core` | `/rest/sdk-client/{applicationId}/core[/{checksum}]` | Per
application (generated bundle) |
| `metadata` | `/rest/sdk-client/metadata[/{checksum}]` |
**Instance-wide**: no application segment, so every application
converges on one URL and the browser downloads the module once per
release instead of once per application |

The previous application-scoped metadata path
(`/rest/sdk-client/{applicationId}/metadata[/{checksum}]`) is **kept for
backward compatibility**, new clients just stop generating those URLs.
The instance-wide route is declared before the parameterized route so
`metadata/{checksum}` is not swallowed as `:applicationId/:moduleName`.

## Caching model

| Request | `Cache-Control` | Effect |
| --- | --- | --- |
| Fingerprinted URL, checksum matches the known module checksum |
`immutable` | Cached indefinitely by the browser HTTP cache; a new
checksum is a new URL |
| Fingerprinted URL, checksum does not match | `no-store` | Current
bytes served uncached (self-healing for stale URLs) |
| Bare URL (pre-generation fallback, `core` only in practice) |
`no-store` | Never cached |

- Both responses also set `X-Content-Type-Options: nosniff` and
`Content-Type: application/javascript`.
- SDK modules are intentionally **not** placed in Cache Storage. That
layer stays reserved for the presigned/rotating component-source URLs;
SDK modules are served directly and authenticated, so the browser HTTP
cache (keyed by the content-addressed URL) is their single cache layer.

## Checksum provenance

- **core** — per **application**, persisted on
`application.sdkClientCoreChecksum` at generation time and read back
from `flatApplicationMaps` (never re-hashed per request).
- **metadata** — **instance-wide**, hashed once from the installed
`twenty-client-sdk/dist/metadata.mjs` package (warmed at bootstrap,
memoized per process) and served straight from that package, so it is
fresh from the first request after a release with no archive dependency.

## Server (twenty-server)

- Hash `dist/core.mjs` at SDK generation and persist
`sdkClientCoreChecksum` via `applicationRepository.update`. Adds the
nullable text column to `application.entity.ts` (mirroring
`packageJsonChecksum`) plus a fast instance command with up/down;
`FlatApplication` picks it up automatically.
- New **application-scoped** query
`applicationSdkClientChecksums(applicationId: UUID!):
SdkClientChecksums` on `ApplicationResolver` (metadata schema,
`WorkspaceAuthGuard` + `NoPermissionGuard`). `SdkClientChecksums.core`
is **nullable** and stays `null` until the SDK has been generated at
least once; `metadata` is **always present** (bootstrap-warmed), so the
metadata module is cacheable from the very first render of any app. The
query itself returns `null` only for unknown applications.
- `SdkClientChecksumsDTO` now lives in the shared
`core-modules/sdk-client/dtos/`. `FrontComponentDTO` and the
`frontComponent` resolver no longer carry checksums (decoupled from the
front-component row).
- `sdk-client` controller: instance-wide `metadata[/:checksum]` route
(no workspace-cache or application lookup, serves the memoized installed
module) + application-scoped `:applicationId/:moduleName[/:checksum]`
route (serves `core` from the per-application archive, `metadata` kept
for back-compat). Cacheability compares the URL checksum against the
**known** checksum — persisted `sdkClientCoreChecksum` for `core`,
memoized package hash for `metadata` — instead of hashing the served
bytes on every request: `immutable` on match, `no-store` otherwise (bare
URL or stale fingerprint), plus `nosniff`. A persisted checksum out of
sync with the archive only downgrades to `no-store` until the next
regeneration.

## Front (twenty-front)

- New metadata query `GetApplicationSdkClientChecksums`, keyed by
`applicationId`; removed the `sdkClientChecksums` selection from
`FindOneFrontComponent`.
- `getSdkClientUrls` builds the two module URLs independently:
`/sdk-client/{applicationId}/core/{checksum}` and the **instance-wide**
`/sdk-client/metadata/{checksum}` (no application segment → one shared
browser cache entry per release across all applications). Each falls
back to its bare URL when its checksum is absent — since `core` is
nullable, a never-generated app still gets a content-addressed metadata
URL and only `core` falls back. The checksum type is sourced from the
codegen `SdkClientChecksums` type rather than a hand-maintained
duplicate.
- `FrontComponentRenderer` is split into a gating outer component (runs
`FindOneFrontComponent`, renders nothing while loading) and a content
component that receives a guaranteed-non-null `frontComponent`.
Following project conventions, the side effects live in dedicated effect
components: `FrontComponentLoadErrorSnackBarEffect` (query error →
snackbar) and `FrontComponentApplicationTokenPairEffect` (mirrors the
query-derived token pair into component state unconditionally, `null`
included, so revoked credentials can never be retained or refreshed).
The content component fetches checksums via the application-keyed query
and **gates the mount of SDK-using components on that query**, so the
very first module fetch is always the content-addressed (`immutable`)
URL instead of the bare `no-store` one. Non-SDK components skip the
query and are never blocked.
- **Live invalidation without reload:** SDK regeneration updates the
application row, and the server broadcasts an `application` metadata
event carrying the new core checksum.
`useOnApplicationSdkClientChecksumsUpdated` /
`useUpdateSdkClientChecksumsApolloCache` patch the application-keyed
checksum query cache (core only; the instance-wide metadata is
preserved), so every mounted component of that application picks up the
new URL at once. This replaces the previous frontComponent-derived field
and closes the earlier "known gap" (a mounted component staying on a
session-old checksum until a full reload). The cache-patching callback
is memoized (`useCallback`) so the window listener is registered once
per application, and the listener is **skipped entirely** for non-SDK
components (`useListenToMetadataOperationBrowserEvent` gained a `skip`
option) — they register no listener and never refetch a query they don't
consume.

## Renderer (twenty-front-component-renderer)

- SDK sources are fetched through a dedicated plain authenticated fetch,
`fetchJavaScriptModuleSourceText` (Bearer header, `credentials:
'omit'`), instead of the Cache Storage `fetchComponentSource` path;
`fetchSdkClientSources` uses it. Execution stays exclusively in the
opaque-origin worker via blob URLs; the host only fetches and forwards
source strings (no hashing host-side). Staleness self-resolves through
the checksum: new checksum → new URL → cache miss.

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2026-07-21 15:05:00 +00:00
Etienne 8f704e87e3 fix(ai-chat) - fix AI record references when display names contain markdown characters (#23113)
<img width="516" height="86" alt="Screenshot 2026-07-21 at 16 41 16"
src="https://github.com/user-attachments/assets/6e14b933-b48e-49ab-856b-400efdeba53a"
/>




## Summary
- Switch record references from `[[record:object:id:label]]` to
`[[record:object:id:label[[/record]]` so labels can include `]`,
backticks, brackets, and other markdown-significant characters
- Parse references with an explicit close tag (still accepting legacy
`]]`), escape labels before markdown lexing, and serialize mentions
through a shared formatter
- Update the AI chat system prompt so the model emits the new format

## Test plan
- [ ] Ask AI about a record whose name contains `` ` ``, `[`, `]`, or
`]]` and confirm it renders as a chip, not broken markdown
- [ ] Confirm legacy `[[record:...]]` references still chip correctly
- [ ] Mention a record in the chat editor and verify serialized text
uses `[[/record]]`
- [ ] Run:
- `npx jest src/modules/ai/utils/__tests__/findRecordReferences.test.ts
src/modules/ai/utils/__tests__/formatRecordReference.test.ts
src/modules/ai/utils/__tests__/protectRecordReferencesForMarkdown.test.ts
src/modules/ai/components/__tests__/TextWithRecordLinks.test.tsx
--config=packages/twenty-front/jest.config.mjs`
  - mention extension tests for `MentionTag` / `MentionSuggestion`

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2026-07-21 17:00:29 +02:00