Commit Graph

1335 Commits

Author SHA1 Message Date
Félix Malfait 027a098099 fix(ai): fully roll back a question answer when the resume enqueue fails (#22492)
## Rationale

`answerAgentChatQuestion` is a three-step transaction without the
transaction: resolve the question (flip tool part to `answered`, clear
`pendingQuestionMessageId`, claim the stream), then enqueue the resume
job. If the **enqueue fails**, the catch restores only `activeStreamId`.
What's left behind: tool part says `answered`,
`pendingQuestionMessageId` is `null`, no job will ever run. The client's
own error handler rolls its card back to *pending* — so the user sees an
answerable question whose re-submission deterministically throws
`QUESTION_NOT_PENDING`. The turn is stuck and state is divergent on
three surfaces (DB part, DB thread, client).

## Why this is the root cause, not a symptom patch

The failure path was rolling back one of three writes. This makes the
rollback total and **exact**: `resolvePendingQuestion` now returns the
part's precise previous `toolOutput` (no reconstruction guesswork —
question tools can carry arbitrary output fields), and the failure path
restores the part verbatim plus the thread's pending-question state,
guarded on the observed streamId so a competing claim is never
clobbered. After rollback, server and client agree again: the question
is pending, answering retries cleanly.

The audit's alternative — forward recovery (keep the answers, mark the
turn interrupted, resume via Retry) — has nicer UX in isolation but
contradicts the client's existing rollback-to-pending behavior; matching
the established contract wins until the client changes.

## User impact

A transient Redis/queue hiccup at answer time currently bricks the
question turn permanently. With this, the user sees the question again
and can just re-answer.

## Test plan

- [ ] CI green
- [ ] Manual: fail the enqueue (kill Redis briefly) at answer time →
question card returns to pending, re-answer succeeds

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:33:20 +02:00
Félix Malfait 087bee0036 fix(ai): notify all tabs when a pending question is answered (#22491)
## Rationale

`resolvePendingQuestion` updates the question tool-part to `answered`
and re-claims the thread — but publishes **nothing**. The answering tab
converges via a local browser event; every other tab keeps rendering the
question card as interactive until the resumed stream's first chunk
happens to arrive. A second tab (or teammate view on shared context) can
attempt to answer an already-answered question and hit a confusing
`QUESTION_NOT_PENDING` error.

## Why this is the root cause, not a symptom patch

Answering a question is a state transition every subscriber cares about
— exactly like queue promotion, message persistence, and stream errors,
all of which publish. This transition just never did. The fix publishes
the existing refetch-trigger event (`queue-updated`, which every tab
already handles by refetching messages + thread state) right after
resolution — no new event type, no new client code path, consistent by
construction with how every other transition converges tabs. A dedicated
`question-answered` event carrying the answers would save one refetch
round-trip; the audit's verdict was that's over-engineering for a rare
interaction.

Publishing *before* the resume-enqueue is deliberate: even if the
enqueue fails, the question **is** answered server-side, and tabs should
reflect server truth.

## User impact

Second tabs stop offering an interactive question that will error when
submitted; everyone sees the answered state within a refetch instead of
whenever the stream resumes.

## Test plan

- [ ] CI green
- [ ] Manual: two tabs on one thread, answer the question in tab A → tab
B's card flips to answered without interaction

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:30:34 +02:00
Félix Malfait d1a4e250cf fix(ai): converge every tab's transcript when a stream fails with partial output (#22494)
## Rationale

When a turn fails after emitting output, the partial assistant message
**is persisted** — but only the success path publishes the event
(`message-persisted`) that makes other tabs refetch. On failure, tabs
that weren't watching the live stream keep a stale transcript until
manual reload. (Error *visibility* itself already works — `stream-error`
reaches every subscribed tab — the gap is purely the
persisted-transcript sync. The original gap-analysis framing of this as
an error-visibility problem was wrong; this is the corrected scope.)

## Why this is the root cause, not a symptom patch

Turn settlement should converge subscribers regardless of *how* the turn
settled — success and failure both persist state that tabs need. The
failure path now publishes the same refetch-trigger event the rest of
the lifecycle uses, right after the terminal `stream-error`. No new
event type, no client changes: the existing guarded replay
(`firstLiveSeq === null`) already ensures tabs with a live view keep
their in-place error rendering while background tabs pick up the
persisted partial message and error state.

## User impact

Open the same thread in two tabs, have the turn die mid-answer in one:
the other tab currently shows the conversation frozen pre-turn until
reload. Now both converge to the persisted partial output plus the
failed-turn state within one refetch.

## Test plan

- [ ] CI green
- [ ] Manual: two tabs, kill the provider mid-stream in tab A → tab B
shows the partial message + error without reload

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:29:56 +02:00
Félix Malfait a505ed3245 feat(ai): typed CONTEXT_WINDOW_EXCEEDED error that hides the pointless Retry (#22488)
## Rationale

When message pruning can't fit the conversation into the model's context
window, `chat-execution.service.ts` throws a **raw `Error`**.
`mapErrorToStreamError` classifies it as generic
`STREAM_EXECUTION_FAILED`, so the client renders a standard failure with
a **Retry button that deterministically fails again** — the conversation
doesn't get shorter by retrying. Users loop on Retry against a
permanently-failing thread.

## Why this is the root cause, not a symptom patch

The failure is *terminal for the thread by construction*, and the error
channel already distinguishes terminal-vs-retryable via typed
`AiExceptionCode`s — this failure just never got one. Adding
`CONTEXT_WINDOW_EXCEEDED` (typed exception → `UserInputError` mapping
instead of a 500 → both error surfaces render the start-a-new-thread
message without `onRetry`) puts it on the same rails as
`API_KEY_NOT_CONFIGURED` and the other special-cased codes. Both
frontend error surfaces route through `AiChatErrorRenderer`, so one case
covers the in-message and under-list renderings.

The deeper endgame (auto-summarize/compact older turns so threads never
brick) is a multi-week feature — and this typed error remains necessary
even then, as its terminal fallback.

## User impact

Instead of an opaque error and a Retry that never works, users hitting
the context limit get told exactly what happened and what to do (start a
new thread), and monitoring stops counting a user-condition as a server
error.

## Test plan

- [ ] CI green
- [ ] Manual: fill a thread past the model limit → typed message, no
Retry on either error surface

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:26:41 +02:00
Félix Malfait 56a6f9419b chore(server): fix stream-agent-chat job spec formatting breaking main's lint (#22493)
The stacked merges of #22479 and #22480 left
`stream-agent-chat.job.spec.ts` on main failing the `oxfmt --check` gate
(2 stray blank lines), which currently fails `server-lint-typecheck` on
**every** open PR's merge ref. Two-line whitespace fix, no behavior
change. Merging this first unblocks the rest of the queue.

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:25:37 +02:00
Félix Malfait 3b76ec528f fix(ai): route missing-workspace stream failures through the standard error path (#22480)
## Rationale

When `StreamAgentChatJob` can't find the workspace, it publishes a
transient `stream-error` event and **returns before the try/finally
exists** (`stream-agent-chat.job.ts`). Consequences on main:

- `activeStreamId` is never cleared → every subsequent send in that
thread queues behind a dead claim, forever;
- no `lastStreamError` is persisted → nothing renders after a reload,
and Retry has nothing to retry;
- nothing throws → **zero telemetry**. Sentry confirms: the "Workspace
not found" issues that exist are all auth/Stripe paths — this path fails
in complete silence.

## Why this is the root cause, not a symptom patch

The job's catch/finally already implement the correct failure contract
for *every other* error: persist a typed `lastStreamError`, publish the
typed event, release the claim guarded on the observed streamId. The bug
is that one code path bypasses that contract via an early return. The
fix removes the bypass — the lookup moves inside the `try` and throws a
typed `AiException(WORKSPACE_NOT_FOUND)` — rather than duplicating
cleanup in the early-return branch (which would be the symptom patch,
and would drift the next time the contract changes).

The alternative "prevent the job from existing when the workspace is
gone" isn't achievable: workspace deletion between enqueue and pickup is
an inherent race, so the job must handle it regardless.

## User impact

A workspace deleted/deactivated mid-flight currently bricks the thread
silently (the user just sees sends vanish into a queue). With this, the
failure is visible (typed error message), recoverable (standard
failed-turn state), and observable (real exception in monitoring).

## Stack

Based on #22479 (spec harness) — it extends the same spec file with the
regression test. `WORKSPACE_NOT_FOUND` is a TypeScript enum member, not
a GraphQL schema change: no client-sdk regeneration needed.

## Test plan

- [x] Regression test: missing workspace → typed rejection,
`lastStreamError` persisted, terminal event published, claim released
- [ ] CI green

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:11:02 +02:00
Félix Malfait ca8ab32253 fix(ai): delete the Redis chunk list on credits-exhausted terminal events (#22477)
## Rationale

The AI chat stream keeps every published chunk in a Redis list
(`agent-chat-stream-chunks:<threadId>`, 1h TTL) so late subscribers can
catch up. On `message-persisted` the list is deleted. On
`credits-exhausted` — the *other* successful terminal event — it wasn't.
Any reload/refetch within the TTL replayed the orphaned chunks, flipping
the thread into a "streaming" state that no terminal event ever closes:
an endless spinner until the user sends another message.

**Production evidence (Sentry):** `Billing Credits Exhausted` fired for
**290 users / 937 events in 90 days**, ongoing
([TWENTY-SERVER-G42](https://twenty-v7.sentry.io/issues/TWENTY-SERVER-G42))
— every one of those users who reloads the chat within an hour hits
this.

## Why this is the root cause, not a symptom patch

The chunk list's lifecycle contract is "cleared when the turn settles".
`credits-exhausted` resolves the job successfully **without** persisting
a `lastStreamError`, so unlike `stream-error` there is no persisted
terminator for catchup to replay after the chunks — the replay is
unconditionally un-closeable. Deleting on both settle events restores
the contract exactly where it's already enforced for
`message-persisted`. `stream-error` deliberately keeps the list: the
persisted error acts as the replay terminator, letting a reloading
client still see the failed turn's partial output.

## User impact

Users who hit their billing cap mid-answer (~100/month) no longer come
back to a permanently spinning thread after a reload — they see the
settled conversation and the billing state.

## Test plan

- [x] Unit spec: chunk accumulation with 1-based seq, deletion on both
terminal events (`it.each`), retention on `stream-error`
- [ ] CI green

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:05:19 +02:00
Félix Malfait 6ac8ebcd18 test(ai): pin StreamAgentChatJob stream lifecycle with a reusable spec harness (#22479)
## Rationale

`StreamAgentChatJob` is the most failure-sensitive path in the AI chat
stack — it coordinates the model stream, Redis event publishing, message
persistence, the thread's stream claim, and the queued-message flush —
and it had **zero unit coverage**. Both historical hangs lived here:

- a throw before the model stream merges bypassed `onFinish` entirely
and hung the job until the **10-minute BullMQ lock** expired (thread
stuck the whole time);
- a throw inside `onFinish` (persistence failure) left trailing chunks
published with **no terminal event** — the client spinner ran forever.

Production still shows this class is live: `Query read timeout` thrown
from inside `handleStreamFinish`
([TWENTY-SERVER-GV7](https://twenty-v7.sentry.io/issues/TWENTY-SERVER-GV7)).

## Why this shape, not something else

Tests-only PR, zero production risk. The fake chat stream mirrors the
one AI SDK contract the job's coordination depends on — verified against
the installed `ai@6.0.97` dist: `toUIMessageStream` converts mid-stream
errors into error parts and **always** fires `onFinish` when the stream
ends (`handleUIMessageStreamFinish` invokes it from both `flush()` and
`cancel()`). Pinning that contract in the fake means a future SDK
upgrade that breaks it fails these tests instead of production. Six
tests pin current behavior: chunk ordering with `message-persisted`
last, opaque error-chunk suppression, mid-stream failure persisting
`lastStreamError` + releasing the claim, the two hang regressions above,
and cancel skipping the queued flush.

Three sibling PRs extend this exact spec file (missing-workspace
routing, halted queue, and — later — auto-retry), which is why the
harness lands first.

## User impact

None directly; it makes the two worst historical user-facing hangs
(10-minute dead thread, infinite spinner) regression-proof before the
stuck-state fix series touches this code.

## Test plan

- [x] 6 unit tests, no production code changed
- [ ] CI green

https://claude.ai/code/session_01Lyi6zTema2FMVVh8MD6c38

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2026-07-02 21:01:32 +02:00
Félix Malfait 4aaf171d63 feat(ai): add ask_questions interactive clarifying-question tool (#22346)
## What & why

Adds an `ask_questions` tool that lets the in-app **Ask AI** assistant
**pause a turn to ask the user one or more multiple-choice questions**
(per the [Figma
design](https://www.figma.com/design/xt8O9mFeLl46C5InWwoMrN/Twenty?node-id=105959-117153))
and resume once answered — instead of guessing on
ambiguous/consequential decisions.

The tool is **harness-only**: an interactive question UI is meaningless
without a user to answer it, so it must be absent from MCP and from
head-less workflow agents.

## Design — true tool-result resume (not a synthetic user message)

The user's answer is a **structured tool result bound to the
`toolCallId`**, and the **same agent turn resumes** — exactly how
Anthropic (`tool_result` by `tool_use_id`) and OpenAI
(`function_call_output`) model human-in-the-loop.

The naive form of this (leave the tool call in `input-available` to mean
"pending") is **impossible** here: `finalizeDanglingToolParts` rewrites
`input-available` → `output-error` ("Tool execution was interrupted") on
both the persist path (`addMessage`) and the model-reload path
(`chat-execution.service.ts`). That util is a load-bearing safety net,
so weakening it is the wrong move.

Instead:

- `ask_questions` is an **inline, chat-only tool with an `execute` that
returns a `status: 'pending'` result immediately**, so the tool part is
always `output-available` and **immune to `finalizeDanglingToolParts`**.
`stopWhen(hasToolCall('ask_questions'))` halts the turn right after the
call (the model never sees the placeholder).
- A nullable **`thread.pendingQuestionMessageId`** marker records that a
turn is awaiting an answer.
- The new **`answerAgentChatQuestion`** mutation atomically *claims* the
question (clears the marker, marks the thread streaming), **writes the
answer onto the same tool part** (`status: 'answered'`), and
**re-enqueues the turn via the existing `existingTurnId` plumbing**
(`isResume` bypasses the per-turn dedup guard). On resume
`finalizeDanglingToolParts` leaves the `output-available` part untouched
and `convertToModelMessages` emits `assistant(tool_use)` +
`tool_result(answers)`, so the model continues.

This achieves the platform-aligned semantics **without** weakening the
finalize safety net or inventing a fragile new part state.

### Meets the two requirements

- **Survives refresh, scoped per-thread** — the pending state is a
normal persisted `output-available` part + the thread marker; the
frontend card is derived per-thread from the loaded messages, so it
re-appears on reload and only on its own thread.
- **Takes priority over the queue** — a unified `isBlocked =
activeStreamId || pendingQuestionMessageId` gate is applied in both
`sendChatMessage` (new messages queue) and `flushNextQueuedMessage` (the
drain). The queue cannot unpile until the question is answered and the
resumed turn completes.

### Harness-only by construction

`ask_questions` is added **only** to the chat's inline `activeTools`
(like `learn_tools`/`execute_tool`/`load_skills`). It never enters the
tool registry/catalog, so it is invisible to MCP and to workflow agents
— no `MCP_EXCLUDED_TOOL_NAMES` entry needed.

## UX

While a question is pending, the **composer is replaced by the question
card** (matching the Figma): question title + pager (`1/2`), numbered
option rows (`IconSquareNumber*`) with per-option info-icon descriptions
and a "Recommended" badge, and the normal composer as the free-text
fallback ("Type anything to do differently."). The transcript shows a
compact "Asking questions…" status line that becomes an answered
summary.

## Changes

**twenty-shared**
- `ai/types/AskQuestionsToolTypes.ts` —
`AskQuestionItem/Option/Answer/Result`, `ASK_QUESTIONS_TOOL_NAME`.

**twenty-server**
- `ai-chat/tools/ask-questions.tool.ts` — inline tool factory
(pending-result `execute`, zod schema, 1–4 questions × 2–4 options).
- `chat-execution.service.ts` — add to `activeTools` +
`preloadedToolNames`; `hasToolCall` in `stopWhen`.
- `chat-system-prompts.const.ts` — when-to-use guidance.
- `entities/agent-chat-thread.entity.ts` — `pendingQuestionMessageId`
column.
- `stream-agent-chat.job.ts` — set the marker on a question pause;
bypass the dedup guard on resume; suppress the no-text warning for
question pauses.
- `agent-chat-streaming.service.ts` — gate `flushNextQueuedMessage`;
`enqueueResumeStream`.
- `agent-chat.resolver.ts` — gate `sendChatMessage`;
`answerAgentChatQuestion` mutation.
- `agent-chat.service.ts` — `resolvePendingQuestion` (atomic claim +
write answer).
- `dtos/agent-chat-question-answer.input.ts`, `ai.exception.ts`
(`QUESTION_NOT_PENDING`), `utils/find-pending-question-part.util.ts`.

**twenty-front**
- `components/AiChatQuestionCard.tsx` — the interactive card (matches
Figma tokens) + `__stories__/AiChatQuestionCard.stories.tsx`.
- `components/AiChatEditorSection.tsx` — swap the composer for the card
while pending.
- `components/AiChatQuestionStatusRenderer.tsx` + branch in
`AiChatAssistantMessageRenderer.tsx`.
- `states/selectors/agentChatPendingQuestionComponentSelector.ts`,
`types/AgentChatPendingQuestion.ts`.
- `hooks/useSubmitQuestionAnswer.ts` + `utils/markQuestionAnswered.ts`
(optimistic) + `graphql/mutations/answerAgentChatQuestion.ts`.

A design doc lives at
`packages/twenty-server/docs/ASK_USER_QUESTION_TOOL_PLAN.md`.

## Migration

Adds a nullable `pendingQuestionMessageId` (uuid) column to
`core.agentChatThread`. Needs a generated **fast instance command**
(`database:migrate:generate --name addThreadPendingQuestion --type
fast`) — see "Verification status".

## Tests

- Server: `ask-questions.tool.spec.ts` (pending echo + schema bounds),
`find-pending-question-part.util.spec.ts`.
- Front: `markQuestionAnswered.test.ts`, plus the Storybook story.

## Verification status (please read)

This branch was authored in an environment where the monorepo `yarn
install` repeatedly failed on transient TLS resets from the package
registry, so I could **not** locally run the mechanical gates. The logic
was reviewed by hand and the `ai@6.0.97` exports used (`hasToolCall`,
`stepCountIs`, `generateId`) were confirmed against the package's type
defs. Still **TODO** (will rely on CI / a follow-up once deps install):

- [ ] `nx run twenty-shared:generateBarrels` (the `ai/index.ts` export
was added by hand; regen to reconcile)
- [ ] `nx run twenty-front:graphql:generate` (new mutation + input type)
- [ ] generate the fast instance command (migration) for the new column
- [ ] `typecheck` + `lint:diff-with-main` (front + server) — expect
minor import-ordering autofixes
- [ ] run the unit tests

**Screenshots:** reproducing the live flow needs an AI provider API key
(to get the model to actually call `ask_questions`), which isn't
available here. The card can be screenshotted from its **Storybook
story** (`AiChatQuestionCard.stories.tsx`) with no API key — I'll add
that image once deps install, or a reviewer can run `nx storybook
twenty-front`.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

https://claude.ai/code/session_01AArS8H3y3Z1Qwm763xhPLB

---
_Generated by [Claude
Code](https://claude.ai/code/session_01AArS8H3y3Z1Qwm763xhPLB)_

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2026-07-02 15:32:18 +02:00
Félix Malfait d709467902 feat(ai): surface AI chat stream failures through one typed error channel (#22434)
## Context

Investigating a report where the AI chat showed only a `...` spinner
while the network response clearly contained `No AI models are
available`. Root cause: terminal stream failures reach the client on
**two mismatched channels**.

| Representation | Persisted (survives reload) | Rendered by client |
|---|---|---|
| AI-SDK `error` chunk (inside `stream-chunk`) |  RPUSH'd to Redis | 
dropped by `readUIMessageStream` (no message part, no error state) |
| typed `stream-error` event |  never persisted |  sets the error atom
|

Live, the `stream-error` event renders. But on reload,
`chatStreamCatchupChunks` replays only the persisted **error chunk** —
which the reducer discards — and the streaming indicator never clears.

## Change

Collapse to a single typed error contract:

- **Suppress the opaque `error` chunk** in the stream job; every failure
is surfaced through the typed `stream-error` event. Errors are mapped
via `mapErrorToStreamError` so an `AiException` keeps its
`AiExceptionCode` (e.g. `API_KEY_NOT_CONFIGURED` → the existing "AI not
configured" banner) instead of leaking a raw string.
- **Persist the terminal error** next to the accumulated chunks and
expose it as an explicit `error { code message }` field on
`ChatStreamCatchupChunks`, so a client catching up after a reload
recovers it — no dependency on the AI SDK's internal chunk shape.
- **Reset per-thread stream state at job start**, so a failed turn's
leftover chunks/error never replay on the next stream.
- **Client replays the catchup error** as a terminal `stream-error`
event, which clears the streaming indicator and renders the error (fixes
the infinite spinner on a stream that ended in error).

## Notes

- `ChatStreamError` is a new metadata GraphQL type; generated types
(twenty-front metadata + client-sdk) were hand-updated to keep the tree
consistent and will be reconciled by CI's `graphql:generate` check if
anything differs.
- Server unit test added for the error mapping. No schema/DB migration.

## Test plan

- [ ] With no AI provider configured, send a chat message → error
renders immediately (not a spinner).
- [ ] Reload the thread → the error still renders (recovered from
catchup), indicator not spinning.
- [ ] Configure a provider and send again → normal streaming; no stale
error from the previous failed turn.


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2026-07-02 14:50:57 +02:00
Paul Rastoin 47689e676b feat(server): improve traceability of flat-entity map mutation errors (#22396)
## Context

cc @rashad 

Twenty applies metadata changes optimistically to in-memory *flat entity
maps* before persisting them. The utils that mutate these maps throw
`FlatEntityMapsException` on invariant violations, which surface in
Sentry (e.g. during `InstallApplication`) as a **hardcoded, generic
message with no identifying data**:

```
GraphQLError: addUniversalFlatEntityToUniversalFlatEntityMapsThroughMutationOrThrow: flat entity to add already exists
```

There was no way to know *which* entity collided — making triage
impossible.

## What this does (two layers)

**Layer 1 — leaf utils emit identifiers**
- `FlatEntityMapsException` gains an optional structured `context`
(`universalIdentifier` / `id` / `applicationId` / `metadataName` /
`relatedMetadataName` / `operation`), read by the Sentry driver's
existing `'context' in exception` → `setExtra` channel.
- All **9 leaf throw sites** append their in-scope identifiers to the
message **and** populate `context`.

**Propagation — context survives the re-wraps**
- On the install path the collision throws in the (unwrapped)
`compute()` step, so the raw exception + context reaches app-sync
intact.
- For the run/build-phase paths, the migration runner and
build-orchestrator re-wraps copy only `.message`; they now also
**forward `context`** so structured data survives there too.

**Layer 2 — human installation error**
- `synchronizeFromManifest` catches flat-entity failures, resolves the
offending `universalIdentifier` to a manifest **object/field label**,
and rethrows `ApplicationException(APPLICATION_INSTALLATION_FAILED)`
with a safe, human `userFriendlyMessage`.
- The leaf `userFriendlyMessage` stays `STANDARD_ERROR_MESSAGE` — the
detailed message never leaks to end users.
- `APPLICATION_INSTALLATION_FAILED` surfaces with the dedicated
`ErrorCode.APPLICATION_INSTALLATION_FAILED` GraphQL code (mirroring the
workspace-migration runner formatter), not `INTERNAL_SERVER_ERROR`.

### Result — client-facing GraphQL error envelope
```json
{
  "extensions": {
    "code": "APPLICATION_INSTALLATION_FAILED",
    "subCode": "APPLICATION_INSTALLATION_FAILED",
    "userFriendlyMessage": "We couldn't install \"Test Application\". Its Invoice could not be applied to your workspace."
  },
  "message": "Installing application 'Test Application' failed [object: Invoice]: addUniversalFlatEntityToUniversalFlatEntityMapsThroughMutationOrThrow: flat entity to add already exists (universalIdentifier: ...)",
  "name": "GraphQLError"
}
```

## Where the identifier shows up (not just Sentry)

The offending `universalIdentifier` reaches every consumer, not only
Sentry:
- **Sentry (server):** structured `context` extras + the enriched
message (fingerprinted by `code`, so no issue fragmentation).
- **GraphQL response `message`:** un-masked (no `useMaskedErrors`; the
error-handler hook passes `BaseGraphQLError` through as-is), so it
travels over the wire.
- **App-author SDK/CLI terminal:** `twenty-sdk` captures
`errors[0].message`; for this error `formatManifestValidationErrors`
returns `null` (no `extensions.errors`/`summary`), so the orchestrator
falls back to printing the full message, e.g.:
  ```
✗ Sync failed with error: Installing application 'X' failed [object:
Invoice]: … already exists (universalIdentifier: b1b2c3d4-…)
ℹ Hint: a metadata conflict was detected. Preview the plan with `yarn
twenty dev --once --dry-run`; …
  ```
The `already exists` / `universalidentifier` substrings also trigger
`getSyncErrorRecoveryHint`, so the author gets an actionable next step.
- **End-user (CRM UI):** only the safe rendered `userFriendlyMessage`
(no UUIDs).

## Design note
`userFriendlyMessage` behaviour of the leaf exceptions is intentionally
unchanged (guardrail). Layer 2 resolves labels for **objects and
fields** (the bulk of metadata); other manifest entity kinds fall back
to an app-name-only human message to avoid brittle manifest-walking —
easy to extend. A future first-class option would be structured
`extensions` (like `METADATA_VALIDATION_FAILED`) + a dedicated SDK
formatter; deferred since the message path already surfaces the detail
in the terminal.

## Tests
- **Unit:** existing through-mutation + runner-exception specs still
pass (they assert on exception **code**, not message). Added a spec for
the enrichment util.
- **Response-format snapshot (verified, green):**
`application-exception-filter.spec.ts` runs the exception filter and
snapshots the exact client-facing GraphQL error envelope shown above.
- **Integration:**
`failing-sync-application-flat-entity-map-conflict.integration-spec.ts`
syncs a manifest whose two objects share a `universalIdentifier`
(collision during manifest map build, before validation) and snapshots
the GraphQL error response via
`expectOneNotInternalServerErrorSnapshot`.
- ⚠️ The integration `.snap` was authored from the identical
deterministic path (verified by the filter unit snapshot) because the
integration suite couldn't be executed in the authoring sandbox. Please
regenerate/confirm with `nx test:integration:with-db-reset` (or `-u`) in
a seeded env.

## Status
Draft — opening for review.
2026-07-02 12:39:48 +00:00
Félix Malfait 38fbff465f chore(server): ship the 2.20 standardOverrides drop as a dormant command (#22448)
Follow-up to #22417, per [this
thread](https://github.com/twentyhq/twenty/pull/22417#discussion_r3512187719):
migrate the `2-20/README.md` placeholder into a real command using the
`TWENTY_NEXT_VERSIONS` mechanism.

### What

- Add `DropMetadataStandardOverridesColumnFastInstanceCommand`,
registered against `2.20.0`. It boots (`2.20.0` is in
`TWENTY_ALL_VERSIONS`) but stays **dormant** — the upgrade sequence only
runs `TWENTY_CROSS_UPGRADE_SUPPORTED_VERSIONS` (previous + current), so
it never executes during the 2.19 deploy and activates automatically
when `nx version:bump` promotes 2.20 to current.
- Name constant + unit test (SQL parity, registration against `2.20.0`,
name-constant parity).
- Register it in `instance-commands.constant.ts`.
- Update the `standardOverrides` `@deprecated` comments on object/field
metadata to point at the shipped command.
- Delete `2-20/README.md`.
- Document the "ship a command for a future version" flow in
`docs/UPGRADE_COMMANDS.md` and `.cursor/rules/server-migrations.mdc`
(the mechanism was previously undocumented).

### Note / correction to the README's plan

The old README implied both the command **and** `@WasRemovedInUpgrade`
could be added at 2.20 time. Only the command can ship now: the
decorator's validator runs against the active sequence, so referencing a
still-dormant 2.20 step fails boot with `unknown-step-name`. So the
entity keeps its `WasRemovedInUpgrade<T>` type wrapper for now; the
decorator gets wired (one line, via the name constant) once 2.20 is
current — same deferred-drop shape as `isUIReadOnly`.

### Verification

Could not run `jest`/`typecheck`/`lint` in this environment: `yarn
install` is blocked by egress policy on a git-based transitive dep
(`github.com/electron/node-gyp.git`). Verified by review against the
sibling 2-19 add-column and 2-12 drop commands. **Please let CI run
before merge.**

https://claude.ai/code/session_01KMArJvdEmsX3eAmJLbS1b6

---
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2026-07-02 13:18:20 +02:00
Félix Malfait 5a4ebca226 refactor(server): unify the two metadata override mechanisms into one (#22417)
## Unify the two metadata override mechanisms into one

Twenty had **two** override mechanisms:

- **`standardOverrides`** — a bespoke JSONB column on
`objectMetadata`/`fieldMetadata` with typed DTOs and a per-locale
`translations` map, resolved by two i18n-aware resolvers.
- **`OverridableEntity.overrides`** — a flat, registry-driven JSONB blob
on view / view-field / view-field-group / command-menu-item /
page-layout-tab / page-layout-widget, resolved by a plain spread.

This PR collapses them into **one** concept: a single `overrides` blob,
one registry-driven overridable set, one i18n-aware read path, and one
write path (`computeMetadataOverridesBlob`, extracted in #22404).

Object/field **stay on `SyncableEntity`** (not reparented to
`OverridableEntity`) so their `isActive` default stays **FALSE** — this
sidesteps the `isActive` default conflict entirely.

### GraphQL breaking change (accepted)

The `standardOverrides` field is **removed** with no deprecation alias —
`overrides` (a `JSON` scalar) is exposed instead on `Object` and
`Field`. Product confirmed negligible external usage; the front-end has
no hand-written consumer (only generated types), which are regenerated
here.

### Commit structure (reviewable commit-by-commit)

1. **Unified resolver + parity harness** —
`resolveEffectiveEntityProperty` is a strict superset of the three
legacy resolvers; a corpus parity spec compares it against a *frozen
reference* of the old logic across every locale, `isStandardApp` branch
and override shape.
2. **Registry-driven** — object/field presentation props tagged
`isOverridable` + `translatable`; the overridable/translatable sets are
derived from the registry (a test asserts they equal the legacy
hardcoded lists).
3. **Rename + swap + delete** — `standardOverrides` → `overrides` across
entities, DTOs, flat/universal types, producers, the ~12
resolve/write/create/sync call sites, mocks and specs; the reconciler's
two compare entries collapse to one; the three legacy resolvers, both
DTOs and the hardcoded constants/types are deleted.
4. **Migration (zero-downtime, two-phase)** — split across two releases
so a rolling deploy never drops a column a previous-release pod still
`SELECT`s:
   - **2.19 fast** — add the `overrides` column (schema only).
- **2.19 slow** — backfill `overrides` from `standardOverrides` in
`runDataMigration` (kept out of the schema transaction so the bulk write
doesn't hold the ACCESS EXCLUSIVE lock; skipped on fresh installs, which
have no data to copy).
- **2.20 fast** — drop the legacy `standardOverrides` column (gated by
`TWENTY_NEXT_VERSIONS`, so it stays dormant until the instance reaches
2.20).
5. **Front/client-SDK regen** — regenerated metadata GraphQL types.
6. **Integration specs + i18n** — updated the standard object/field
update integration specs + snapshots, and the reworded validator message
catalog entry.

### Rolling-deploy safety

`standardOverrides` is retained through 2.19 and only dropped in 2.20,
mirroring the codebase's deferred-drop convention
(`isUIReadOnly`/`isCustom`). During the 2.19 rollout both columns exist,
so old and new pods coexist without "column does not exist" errors. The
backfill lives in a slow `runDataMigration` (per the
`no-data-mutation-in-fast-instance-command` rule) so it doesn't stall
reads.

### `isActive` guard

The migration never reads or writes `isActive`; the backfill asserts the
active-row count is unchanged and aborts otherwise. Verified on a real
DB: apply + revert preserves the blob **and** the nested `translations`
map, with `isActive` counts identical before/after.

### Verification (local)

- `nx typecheck twenty-server` + `nx typecheck twenty-front` — green
- `nx lint:diff-with-main twenty-server` (oxlint `--type-aware` + oxfmt)
— green
- `nx test twenty-server` — green (unit + parity + registry + migration
tests)
- `nx run twenty-server:test:integration:with-db-reset` — green
- `database:reset` applies the 2.19 phases and leaves **both** columns
present (2.20 drop stays dormant); backfill + revert round-trip verified
on a real DB
- Metadata integration suites (standard object/field update, application
sync) pass end-to-end against the two-column schema
- Metadata GraphQL types regenerated against a booted server; zero
`standardOverrides` references remain in application code (only the
migration commands + the legacy schema baseline)

---------

Co-authored-by: prastoin <paul@twenty.com>
2026-07-02 12:01:15 +02:00
Abdul Rahman 3bbc08d41f refactor(schema): reorganize IndexField and related types (#22439)
## Summary

Querying `indexMetadatas { indexFieldMetadatas { ... } }` on the
`/metadata` GraphQL endpoint fails with a 500:

> Nest could not find IndexFieldMetadataDTOAuthorizer element (this
provider does not
> exist in the current context)

The `@CursorConnection('indexFieldMetadatas', ...)` decorator on
`IndexMetadataDTO` makes nestjs-query auto-generate a relation resolver
that injects an authorizer for `IndexFieldMetadataDTO`. That authorizer
is never provided, because the DTO was never registered as a resolver in
`IndexMetadataModule` — so the field has been broken since it was
introduced in #7162.

Since the working, DataLoader-backed `indexFieldMetadataList` field
already exposes the same data (and is what the frontend uses), this PR
removes the dead connection instead of wiring up the authorizer.

## Changes

- Remove `@CursorConnection('indexFieldMetadatas', ...)` from
`IndexMetadataDTO`
- Regenerate frontend metadata GraphQL types
(`twenty-front/src/generated-metadata`)
- Regenerate client SDK metadata schema/types
(`twenty-client-sdk/src/metadata/generated`)

## Notes

- Not a breaking change in practice: the removed field always threw, so
no consumer can have been relying on it. Callers now get a standard
GraphQL validation error suggesting `indexFieldMetadataList` instead of
an internal server error.
- Verified locally: the failing query now returns `Cannot query field
"indexFieldMetadatas" on type "Index". Did you mean
"indexFieldMetadataList"?` and `indexFieldMetadataList` continues to
work.

Fixes [sonarly issue #54098](https://sonarly.com/issue/54098?type=bug)

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2026-07-02 11:32:39 +02:00
Félix Malfait 2e7441380f refactor(server): unify metadata override-blob computation (step 1 of override unification) (#22404)
## Context

Twenty currently has **two override mechanisms** for metadata:

- `standardOverrides` (a bespoke JSONB column on `objectMetadata` /
`fieldMetadata`) — i18n-aware, typed DTO with a per-locale
`translations` map, resolved via
`resolve-object/field-metadata-standard-override.util.ts`.
- `OverridableEntity.overrides` (base class: `view`, `view-field`,
`view-field-group`, `command-menu-item`, `page-layout-tab`,
`page-layout-widget`) — a flat, i18n-free `{...entity, ...overrides}`
spread, registry-driven via `isOverridable`.

"One concept, two code paths → drift & confusion; reconciliation has to
special-case." This PR is **step 1** of collapsing them.

## What this PR does (small, behavior-preserving)

The add / remove / null-collapse **override-blob write logic was
triplicated** across:
- `sanitizeOverridableEntityInput` (`overrides`)
- `sanitizeRawUpdateObjectInput` (object `standardOverrides`)
- `sanitizeRawUpdateFieldInput` (field `standardOverrides`)

This extracts it into a single `computeMetadataOverridesBlob` helper
that all three now call. This is genuine **cross-mechanism convergence
of the write path** — the first concrete reduction of the "two code
paths".

- Behavior-preserving: same diff semantics. The object/field paths used
strict `===` on their string standard-override props; `isEqual` subsumes
that for strings, and the overridable path already used `isEqual`.
- Type-casts are contained **inside** the one helper; the three call
sites stay clean and type-preserving.
- 4 files: 1 new util + 3 refactors.

## ⚠️ Draft — verification status

I could **not** run `typecheck` / `lint` / tests locally: the sandbox
this was authored in cannot complete `yarn install` (network aborts
mid-install, no `node_modules`). The change is small and reasoned, but
**please let CI validate it** — that's why this is a draft. If CI flags
a type/lint nit in the contained casts, it's isolated to
`compute-metadata-overrides-blob.util.ts`.

Per request: no code comments were added; the design/tradeoff discussion
lives here.

## The full unification plan (this PR is step 1)

The remaining steps are deliberately **not** in this PR because they
need a live DB (migration) and the front-end codegen pipeline to verify
— neither is available in the authoring sandbox. Documented here for
review before we proceed:

| Step | Change | Why staged |
|------|--------|-----------|
| **(this PR)** | Unify the write-path blob logic | Safe,
behavior-preserving, no DB/FE |
| Read path | One i18n-aware `resolveEffectiveEntity` (superset of the
flat spread + the two i18n resolvers) | The i18n resolvers are entangled
with typed translation-key narrowing; merging cleanly needs the
storage/i18n generalization below |
| Registry | Make object/field presentation props registry-driven
(`facet` + `translatable`), like the overridable set already is |
Depends on the facet annotation |
| Storage | Object/field extend `OverridableEntity`; `standardOverrides`
→ `overrides` (translations preserved); **one data migration** | Needs
DB verification; changes schema |
| GraphQL + FE | Remove the `standardOverrides` field, expose
`overrides`; regen `twenty-front` / client-SDK types; update the
Settings → Data-Model rename UI | Needs codegen; see tradeoff below |

## Key tradeoffs / decisions to confirm

1. **GraphQL break on `standardOverrides` — accepted.** Per product
call, external usage is negligible, so the later step will **remove**
the field outright (no deprecated alias). The one real consumer is the
Settings → Data-Model rename-label UI, updated in the same step. This
drops the most complex part of the original plan (a virtual-alias
resolver + deprecation window).
2. **`isActive` default.** `OverridableEntity` defaults `isActive` to
`true`; object/field default it to `false`. The storage step must
**explicitly override the default** and assert in the migration that no
existing row's `isActive` changes.
3. **Overrides stay anonymous single-slot blobs** (no per-app
attribution / multi-contributor 3-way merge). That limitation is
unchanged here and is only worth revisiting if a concrete use case needs
owner-tagged layering (real schema work, sized separately).
4. **Parity harness is the safety net for the storage step.** Because
the read-path/storage merge touches the hot object/field resolve path
and i18n precedence, that PR should land a golden-corpus parity gate
(all locales, `isStandardApp`, empty/partial/full overrides) proving the
unified resolver reproduces today's output byte-for-byte, before any
switch.

## Not included (per request)
- No service tests added.
- No code comments added (rationale/tradeoffs are here, in the PR).

## Test plan
- CI: `typecheck` + `lint` + the existing
`sanitize-overridable-entity-input.util.spec.ts` (which exercises the
shared logic through `sanitizeOverridableEntityInput`).
- The object/field write paths have no dedicated unit spec; they're
covered by the metadata integration suites
(`successful-update-one-standard-object/field-metadata`).

https://claude.ai/code/session_01E1pGBDLC3gEBs1w45G2W5Z

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2026-07-01 16:58:38 +02:00
Paul Rastoin 2b1417770e SearchVector derivation via migration-scoped index (alt to #2622 __warmedUpCache) (#22389)
## What this is

close https://github.com/twentyhq/core-team-issues/issues/2622

A **POC / discussion branch** implementing the runner-scoped alternative
to the `__warmedUpCache` design in
[core-team-issues#2622](https://github.com/twentyhq/core-team-issues/issues/2622).
Not for merge as-is — meant to diff against that plan.

## Problem

`deriveSearchVectorAsExpressionForTsVectorField` scans the entire
`flatSearchFieldMetadataMaps` (`Object.values(...).filter(...)`) once
per object created in a migration. On install that's `O(objectsCreated ×
totalSearchFields)` — the quadratic #2622 targets.

Only **one** of the three call sites is actually hot:
- `create-object` (runner) — global maps, called per created object →
the quadratic
- export DDL — maps already built **per object** (O(k))
- `update-field` rebuild — one field, gated on `rebuildSearchVector`

## Approach

Instead of a private `__warmedUpCache` side-channel on
`FlatEntityMaps<T>` + drain-on-hydration, this keeps the index in the
**consumer**:

1. `derive` now takes `targetSearchFieldMetadatas` (already scoped to
the tsVector field) instead of scanning the map itself.
2. The runner builds a `Map<tsVectorFieldMetadataId, searchFields[]>`
**once per migration**, lazily, and threads it through the action
context. Safe because `searchFieldMetadata` creates are ordered before
`objectMetadata` creates (`computeOrderedMigrationActions`), so the map
is complete on first use. → `O(totalSearchFields)`.
3. `getTargetSearchFieldMetadatasForTsVectorField` (O(total) filter)
stays as the fallback for the one-off callers (export, field-update) and
when the accessor isn't provided.

## Why this over `__warmedUpCache`

- **No `FlatEntityMaps<T>` type widening**, no convention-only privacy,
no id/universalIdentifier drain to keep in sync.
- **No referential-integrity obligation.** The index only ever contains
entities present in the map, so the "search field created-then-deleted
before its object hydrates" case (deferred as an edge in #2622) can't
put a stale id into an aggregator and crash `derive` via the `-orThrow`
lookup.
- **One `derive` path**, not "aggregator + direct-filter fallback for
export".
- Blast radius: ~220 lines, mostly a new util + test.

## Benchmark (micro, isolated function)

Median of 7 trials, 10 search fields per object, running the real
shipped utils — old = `getTargetSearchFieldMetadatasForTsVectorField`
once per object (identical to the old inline scan), new =
`buildSearchFieldMetadatasByTsVectorFieldId` once + N lookups (both
assert they resolve the same fields):

| objects | total search fields | old (scan/obj) | new (index once) |
speedup |

|--------:|--------------------:|---------------:|-----------------:|--------:|
| 50 | 500 | 2.08 ms | 0.06 ms | 33× |
| 100 | 1,000 | 9.26 ms | 0.12 ms | 77× |
| 200 | 2,000 | 36.2 ms | 0.23 ms | 160× |
| 400 | 4,000 | 151 ms | 0.40 ms | 379× |
| 800 | 8,000 | 701 ms | 0.92 ms | 766× |

Confirms the old path is quadratic (~4× per doubling of object count)
and the new path is linear (sub-ms throughout).

**Caveats — read these before trusting the speedup:**
- This is the **isolated derivation function**, no DB / DDL / inserts.
In a real `create-object` action the derive is a small fraction of
per-action cost, so the end-to-end win is far smaller than the ratios
above.
- A default workspace has ~20–30 objects, where the **old** code already
costs only ~1–2 ms total across the whole install. The quadratic only
becomes material (>50 ms, the runner's slow-action threshold) around
**200–400 objects**.
- The measurement that should actually gate this — `[install-perf]
create:objectMetadata` on a real install against a real DB with a few
hundred objects — has **not** been run yet. The micro-benchmark bounds
the upside and locates the knee of the curve; it does not prove
end-to-end payoff.

## Not done on purpose

- **No end-to-end benchmark yet** — step 0 should still be measuring
`[install-perf] create:objectMetadata` on a real large install to
confirm the quadratic is worth removing at all.
- Relies on the ordering invariant (commented at the build site). The
fully self-contained variant is to put the object's search fields on
`FlatCreateObjectAction` (builder change) — deliberately left out to
keep this runner-scoped.

## Checks

`nx typecheck twenty-server`, `nx lint:diff-with-main twenty-server`,
new util spec + existing `generate-workspace-schema-ddl` spec all green.
2026-07-01 14:29:19 +02:00
Weiko fab0358df5 Handle field isNullable update (#22362)
## Context

Setting isNullable on a field via the app SDK manifest was silently
ignored when re-syncing an existing field. The first sync that creates a
field honored isNullable correctly, but any later manifest change to
isNullable had no effect, neither on the field metadata nor on the
underlying Postgres column.

Two compounding gaps caused this:

The diff never detected the change. isNullable was configured with
toCompare: false, so compareTwoFlatEntity excluded it from the diff and
no update action was ever generated.
There was no DDL to apply it. Even if detected, the update field action
handler only altered name, options, defaultValue, and settings. The
column manager had no way to alter a column's NOT NULL constraint.

## Fix

- Set isNullable.toCompare: true so manifest changes are detected and
persisted to the field metadata (via the existing executeForMetadata
path).
- Add WorkspaceSchemaColumnManagerService.alterColumnNullable(): emits
SET NOT NULL / DROP NOT NULL, with an optional pre-serialized backfill
(UPDATE … WHERE col IS NULL) applied only on the nullable → non-nullable
transition.
- Add handleFieldNullableUpdate() to the update field action handler,
dispatched after the defaultValue block so the default is in place
before NOT NULL is enforced.
It is composite-aware (mirrors the per-sub-column parentIsNullable ||
!property.isRequired rule used at column creation) and skips
relation/morph join columns and TS_VECTOR, which are always nullable by
design.

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2026-07-01 13:31:22 +02:00
github-actions[bot] 18c0d117a3 chore: sync AI model catalog from models.dev (#22387)
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>
2026-07-01 09:23:37 +02:00
Etienne c4a6446757 fix(navigation-menu-item): reject PAGE_LAYOUT items that don't reference a STANDALONE_PAGE layout (#22343)
## Issue

A `PAGE_LAYOUT` navigation menu item can be created pointing at a page
layout whose type is **not** `STANDALONE_PAGE` (e.g. a `DASHBOARD`). The
sidebar always links such an item to `/page/<pageLayoutId>`, but that
route only renders `STANDALONE_PAGE` layouts, anything else is
redirected to 404.
Result: a silently broken sidebar link (cc:
https://discord.com/channels/1130383047699738754/1519045990047285288).

## Root cause

- `/page/:pageLayoutId` is standalone-only by design (route guard in
`usePageChangeEffectNavigateLocation`, and `StandalonePageLayoutPage`
hardcodes `layoutType: STANDALONE_PAGE`). Dashboards/record pages are
reached elsewhere (record show page).
- A `PAGE_LAYOUT` nav item unconditionally computes
`/page/<pageLayoutId>`.
- No validation ensured the referenced layout is `STANDALONE_PAGE`: the
migration/manifest validator only checked that `pageLayoutId` was
present, the DB constraint only checked `NOT NULL`, and the runtime tool
description even suggested pinning dashboards this way. So an app
manifest pairing a `DASHBOARD` layout with a `PAGE_LAYOUT` nav item
installed cleanly and produced a dead link.

## Fix (treat as invalid config — fail fast)

- Cross-entity validation in `FlatNavigationMenuItemValidatorService`
(both create and update): when `type === PAGE_LAYOUT`, resolve the
referenced page layout from the optimistic page-layout maps and raise
`INVALID_NAVIGATION_MENU_ITEM_INPUT` if its `type !== STANDALONE_PAGE`.
Existence keeps being enforced by foreign-key resolution, so the type
check only fires when the layout resolves.
- Corrected the misleading `create_navigation_menu_item` tool
description (no longer says "e.g. a dashboard"; states the target must
be a `STANDALONE_PAGE`).
- Added unit tests covering: `STANDALONE_PAGE` accepted; `DASHBOARD`
rejected; `RECORD_PAGE` rejected; unresolved reference not flagged as a
type error.

## Files changed

- `flat-navigation-menu-item-validator.service.ts` — new
`validatePageLayoutReference` + wired into create/update.
- `create-navigation-menu-item.tool.ts` — tool description fix.
- `__tests__/flat-navigation-menu-item-validator.service.spec.ts` — new
tests (4 passing).

## Out of scope / follow-up

- To open discussion, check
https://github.com/twentyhq/twenty/pull/22255


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2026-06-30 11:41:26 +02:00
Paul Rastoin b0d7516951 Deprecate asExpression from field metadata search_vector (#22287)
## Summary

Fully deprecates the cached `asExpression` / `generatedType` settings on
`TS_VECTOR` (searchVector) fields. Previously the generated-column
expression was stored in `FieldMetadataSettings` and kept in sync via
imperative recompute side-effects. It is now **derived at DDL time**
from the `searchFieldMetadata` rows that describe which fields feed the
search vector, making `searchFieldMetadata` the single source of truth
and removing a whole class of cache-drift bugs.

This is delivered across the milestones tracked in #2587 and coordinates
with the frontend migration (#1428).

## Why

- The searchVector expression lived in two places (stored
`settings.asExpression` + the actual generated column), kept consistent
by bespoke side-effects (`recompute-search-vector-on-field-rename`,
label-identifier recompute, etc.).
- The frontend reconstructed the searchable-fields list by
**regex-parsing** the stored `asExpression`.
- Both are brittle. Deriving the expression from `searchFieldMetadata`
rows at build/run time removes the cache and the parsing.

## What changed

### Server - data model & derivation
- Introduce the `tsVectorFieldMetadata` relation on
`searchFieldMetadata` (`tsVectorFieldMetadataId` / universal identifier)
linking each searchable-field row to its target `TS_VECTOR` field.
- New runtime derivation
`deriveSearchVectorAsExpressionForTsVectorField`
(`flat-search-field-metadata/utils/...`) used by the create-object and
update-field handlers to generate the column expression from
`searchFieldMetadata` rows.
- Remove `asExpression` / `generatedType` from stored settings:
`FieldMetadataSettings.TS_VECTOR` is now `null`; the column builder
(`generate-column-definitions.util.ts`) hardcodes `generatedType:
'STORED'` and requires the derived expression.
- Delete the imperative recompute side-effects and the
`compute-search-vector-universal-settings-from-object-manifest` path;
drop the `settings` block from all 28 standard
`compute-*-standard-flat-field-metadata` utils.

### Server - migration runner
- New `rebuildSearchVector` marker on `update-field` actions: the
orchestrator synthesizes targeted column rebuilds
(`compute-search-vector-rebuild-target-universal-identifiers.util.ts` +
the deprioritize aggregator) only when a searchFieldMetadata change or
indexed-field rename actually requires it - instead of rebuilding on
every settings touch.
- Deferrable FKs + in-flight ID resolution so a `searchFieldMetadata`
row and its `TS_VECTOR` field can be created in the same transaction
(deterministic UUIDs).

### Frontend (contract change, #1428)
- New `SearchFieldMetadataDTO` + dataloader exposing
`searchFieldMetadataList` on object metadata.
- `SettingsObjectSearchSection` now reads
`objectMetadataItem.searchFieldMetadatas` instead of parsing
`asExpression`; new `SearchFieldMetadataItem` type, fragment, and
mapping updates.

### Upgrade commands (2.18)
-
`2-18-instance-command-fast-...-add-ts-vector-field-metadata-id-to-search-field-metadata`
-
`2-18-instance-command-fast-...-make-search-field-metadata-fks-deferrable`
-
`2-18-instance-command-slow-...-backfill-ts-vector-field-metadata-id-on-search-field-metadata`

(These were relocated from 2.16 to 2.18 and re-timestamped into an
ordered block - add column -> make FK deferrable -> backfill data -
since 2.16/2.17 are released.)

### Tests
- Updated search-vector side-effect integration specs to assert behavior
(search works) rather than the now-removed `asExpression`; removed the
obsolete expression-validation specs; refreshed the application-sync
snapshot (`universalSettings: null`).

## Upgrade / compatibility notes
- Existing workspaces keep their stored `settings` until a later
cleanup; nothing reads it anymore. The new derivation drives all DDL
going forward.
- Schema changes are gated behind the 2.18 instance commands above.

## Known follow-up (separate PR)
https://github.com/twentyhq/core-team-issues/issues/2620
- The column rebuild (`DROP`/`ADD` of the `searchVector` STORED column)
cascade-drops its GIN index and does not recreate it - a pre-existing
regression on `main` inherited here. A follow-up PR will fix the rebuild
handler to recreate the GIN index and add a 2.18 workspace command to
recompute every search vector + strip the deprecated settings.
(Planned.)

## Test plan
- [ ] `npx nx typecheck twenty-server` / `twenty-front`
- [ ] `npx nx lint:diff-with-main twenty-server` / `twenty-front`
- [ ] Server integration: create/update/delete field, rename indexed
field, update object - search returns expected records
- [ ] Run the 2.18 instance commands on a seeded DB; verify
`tsVectorFieldMetadataId` backfilled and FKs deferrable
- [ ] Frontend: object Search settings tab lists the correct searchable
fields (no `asExpression` parsing)

close https://github.com/twentyhq/core-team-issues/issues/2587

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2026-06-30 09:16:01 +00:00
Félix Malfait b1a781fbd9 feat(server): resolve app translations across remaining metadata resolvers (#22237)
## Summary

**PR 3/4** of the app-metadata-translations stack. Extends runtime
translation resolution to the remaining Twenty-rendered metadata types
so coverage is complete.

- New shared `MetadataTranslationResolverService.getApplicationCatalog({
applicationId, workspaceId, locale })` — the single seam for fetching an
app's per-locale catalog.
- Wired into the **page-layout tab**, **page-layout widget**,
**view-field-group**, **command-menu navigation item**, and **view
name** resolvers, each extended with an optional `applicationCatalog`
param (backward-compatible).

Together with PR 1/4 (object + field), this covers all seven
translatable metadata surfaces.

## Stack
Stacks on #22236 (PR 2/4). Base branch:
`claude/app-translation-2-sdk-manifest`.

## Verification note
`yarn install` could not complete in the remote dev environment, so
typecheck/lint/tests were not run locally — **CI is the source of
truth**.

https://claude.ai/code/session_01NiE7o3cd3zCLZarVkJa6UA

---
_Generated by [Claude
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2026-06-29 22:49:36 +02:00
Etienne 56deba351b feat(ai): reliable bulk data import via code-interpreter (#22209)
## Summary

Makes AI-assisted bulk data import (CSV/Excel/spreadsheets) reliable and
token-efficient by letting an entire import run inside a single
code-interpreter call, with a persistent sandbox session and server-side
bulk helpers. Also includes supporting improvements to attachment
handling, upsert reporting, and field-permission error messages.

## Changes

### Code interpreter
- **Persistent per-session kernel** in `LocalDriver`: a long-lived
Python process per `sessionId` keeps variables, imports, and files alive
across calls (matching E2B behavior). Falls back to the existing
ephemeral per-call path when no session is provided. CAN BE REMOVED,
INTERESTING FOR DEV X
- Idle watchdog that self-terminates the kernel, configurable via the
new `CODE_INTERPRETER_IDLE_TIMEOUT_MS` config variable; the process also
exits on parent shutdown (EOF on control fd). CAN BE REMOVED,
INTERESTING FOR DEV X
- New `bulk_upsert` and `lookup_by` helpers on the sandbox `twenty`
object for idempotent batched writes (≤200/batch) and bounded
relation-ID resolution.

### Records
- `upsert_many_*` now reports a `created` / `updated` / `total` split in
its result and log line (new `isFreshlyCreatedRecord` util).

### AI chat
- `replaceUnsupportedFileParts`: user-attached files whose MIME type the
model can't handle natively (and that aren't code-interpreter-supported)
are downgraded to a descriptive text note instead of being sent as
unsupported file parts. Modality→MIME mapping drives native support
detection.
- Finalize dangling tool parts before `convertToModelMessages` to avoid
malformed model messages.
- Extracted shared types/constants for code-interpreter file extraction.

### Permissions
- Field permission-denied exceptions now include the field name and
entity name for easier debugging.


### Skill docs
- Added the bulk-import recipe 

## To do in following PR
- [ ] Skill command migration

## Test plan
- [x] Unit tests for `getNativeMimeTypesForModalities` and
`replaceUnsupportedFileParts` pass
- [x] Run a bulk import (>50 rows) end-to-end through the code
interpreter and verify a single sandbox call handles read → resolve
relations → upsert → summary
- [x] Verify session persistence: define a variable in one call, use it
in the next within the same session
- [x] Verify the kernel self-terminates after
`CODE_INTERPRETER_IDLE_TIMEOUT_MS`
- [x] Verify unsupported attachments are replaced with a text note for
models lacking the modality
- [x] Verify `upsert_many_*` returns correct created/updated counts
- [x] Verify field-restricted role triggers a permission error naming
the field and entity
- [ ] Test with
[hotel_business.xlsx](https://github.com/user-attachments/files/29376307/hotel_business.xlsx)
and simple "import record" prompt

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2026-06-29 09:54:27 +00:00
Félix Malfait 41c10b9ee7 feat(server): resolve app-owned metadata translations at runtime (#22235)
## Summary

First of a **4-PR stack** that lets apps built with `twenty-sdk`
translate their metadata, resolved at runtime. The standard Twenty app
is modelled as "an app like any other" — `NULL
applicationRegistrationId` ⟺ the standard app, no special-casing.

This PR adds the server foundation and wires runtime resolution for
**object** and **field** metadata:

- New `applicationTranslation` core table + entity (nullable
`applicationRegistrationId`, `locale`, `messages` jsonb), one row per
(app, locale) to avoid multi-MB rows.
- `ApplicationTranslationCacheService` (process-local, 30s TTL) +
`ApplicationTranslationSyncService` (upsert + soft-delete from a
manifest).
- Shared `translateStandardLabel` util: application catalog → i18n
bundle → source value.
- Object/field resolvers + dataloaders prefetch and apply the per-app
catalog. The new `applicationCatalog` param is **optional**, so standard
behaviour is byte-unchanged.
- Fast instance command to create the table.

## Stack
**PR 1/4**, targets `main`. Followed by: (2) twenty-sdk extract/compile
→ `manifest.translations`, (3) resolution across the remaining metadata
resolvers, (4) the per-locale standard-override editor.

## Tests
Unit: `translateStandardLabel`, `resolveObjectMetadataStandardOverride`
(including the application-catalog path).

## Verification note
The remote dev environment for this branch could not complete `yarn
install` (no package-registry egress), so typecheck/lint/tests were not
run locally — **CI is the source of truth** for this stack. Changes
follow existing patterns.

https://claude.ai/code/session_01NiE7o3cd3zCLZarVkJa6UA

---
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2026-06-28 07:36:21 +02:00
Félix Malfait 0e22ae0521 feat: create calendar events on Google and Microsoft accounts (#22231)
## Context

Twenty can import calendar events and send emails, but cannot create
calendar events. This adds calendar event creation on connected
**Google** and **Microsoft** accounts, mirroring the existing email-send
architecture (`message-outbound-manager`).

## What it adds

The capability is exposed three ways, all backed by the same composer →
driver → persist pipeline:

- **GraphQL mutation** `createCalendarEvent` (metadata API)
- **AI agent tool** `create_calendar_event` (flows to MCP
automatically), gated by a new `CREATE_CALENDAR_EVENT_TOOL` permission
flag
- **Workflow builder node** "Create Calendar Event" in the **Core**
section, with a full settings form (variable interpolation supported)

CalDAV/IMAP is intentionally out of scope for now (different long pole).

## Design notes

- **Reuse over reinvention** — the created event is run through the
existing inbound formatters (`formatGoogleCalendarEvents` /
`formatMicrosoftCalendarEvents`) and persisted immediately via the
existing `CalendarSaveEventsService`, so it appears in Twenty right away
and is reconciled by the next provider sync (dedup on external id).
Persistence is best-effort.
- **OAuth scopes** — Google already requests `calendar.events`
(read+write), so no change there. Microsoft moves `Calendars.Read` →
`Calendars.ReadWrite`; existing Microsoft accounts must re-consent
(surfaced as a clear "reconnect" error via a missing-scope check).
- **Deliberate invitation semantics** — `sendInvitations` is off by
default. When off, the event is created with **no attendees** on either
provider, so creating an event never silently emails external people.
When on, attendees are attached and notified (Google `sendUpdates: all`,
Microsoft's default). This sidesteps Microsoft Graph having no
per-request suppression.
- **Timezone correctness** — Microsoft Graph interprets `dateTime` as
wall-clock in the supplied `timeZone` and ignores the offset, so the
absolute instant is converted to its wall-clock form before sending
(Google honors the offset directly). Both providers end up scheduling
the same instant.
- **Conferencing** — optional Google Meet
(`conferenceData.createRequest`, with a follow-up `events.get` to
resolve the async link) / Microsoft Teams (`isOnlineMeeting`).
- Attendees are a comma-separated string everywhere (tool input, GraphQL
DTO, workflow input), consistent with `send_email` recipients; the
composer parses to its internal list.

## Test plan

- **Unit**: 45 tests covering the composer (validation, all-day
boundaries, offset enforcement, timezone, scope checks, default-account
resolution), both provider drivers, the dispatcher, and the workflow
step-log builder.
- **Integration**: `createCalendarEvent` on the `/metadata` API fails
closed with a structured error for a non-existent account (the
auth/ownership/validation path that doesn't require provider mocking).
- **Manual**: verified the workflow node appears in the Core section,
the settings form renders and round-trips (edit → autosave → reload),
and the live mutation returns a structured failure for a bogus account.

## Open question for reviewers

The metadata mutation `createCalendarEvent` shares a name with the core
schema's auto-generated `createCalendarEvent(data:)` CRUD mutation for
the CalendarEvent object — they live on different endpoints (`/metadata`
vs `/graphql`) so there's no runtime conflict, but it's a potential
point of confusion for API consumers. Happy to rename (e.g.
`createCalendarEventOnConnectedAccount`) if preferred.

## Out of scope / follow-ups

- CalDAV/IMAP support
- Event update/delete and recurrence
- Existing Microsoft accounts need re-consent for the widened scope


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---------

Co-authored-by: neo773 <neo773@protonmail.com>
2026-06-27 14:05:58 +02:00
github-actions[bot] f041f6dfb6 chore: sync AI model catalog from models.dev (#22242)
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>
2026-06-27 08:59:37 +02:00
Etienne 3525187321 fix(ai) - fixes (#22227)
- ai chat author fix (before : "workflow", after : "user")
- https://discord.com/channels/1130383047699738754/1496872385687584768

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2026-06-26 17:53:29 +00:00
Amresh Chaurasiya e1120d38b6 fix: stamp MCP and AI Agent writes with FieldActorSource.AGENT (#22215)
## Description
Fixes #21437 MCP and AI Agent writes now correctly stamped with

### Problem
Records created through MCP server were stamped as `WORKFLOW`, making
them indistinguishable from workflow-created records. This breaks
loop-protection filters that skip workflow-originated records.

### Solution
- MCP writes now correctly stamped with `createdBy.source = AGENT`
- AI Agent execution now uses `AGENT` instead of `MANUAL`
- Added `WorkspaceCacheModule` to MCP module
- Updated tests to verify AGENT source

### Files Changed
- `mcp.module.ts`: Added WorkspaceCacheModule import
- `mcp-protocol.service.ts`: Set AGENT source in buildMcpToolSet
- `mcp-protocol.service.spec.ts`: Updated tests
- `agent-actor-context.service.ts`: Changed MANUAL → AGENT
- 

## Type of Change
- [x] Bug fix (non-breaking change)

## Checklist
- [x] Code follows project style
- [x] Tests added/updated
- [x] Issue linked

Fixes #21437

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2026-06-26 17:38:05 +02:00
Félix Malfait da6a2ee300 fix(ai-chat): keep streams alive on silent SSE death + make the stream job idempotent (#22201)
## Problem

In production, an AI-chat assistant response sometimes freezes
mid-stream (partial text, looks hung), then "picks up again on its own"
later without the user resending and without a known worker restart.

Root cause: the **agent-chat SSE subscription has no keepalive and no
silent-death detection**.

- Delivery is fire-and-forget Redis pub/sub
(`SubscriptionService.publishToAgentChat`) and the resolver returns the
**raw** iterator — unlike `EventStreamResolver`, which heartbeats every
30s via `wrapAsyncIteratorWithLifecycle`.
- During a quiet model/tool gap the connection sends no bytes, so a
proxy/LB/NAT can silently drop it mid-stream. `graphql-sse` neither
surfaces an error nor resumes with `Last-Event-ID`, and **nothing
re-pulls the existing Redis chunk catch-up on reconnect** (it only runs
on thread (re)mount / `message-persisted` refetch).
- So the live view freezes; recovery only happens when the terminal
`message-persisted` fires a full refetch from the DB — the observed
"self-recovery".

This is the **same silent-SSE-death class fixed for the DB event stream
in #21061**, which was never applied to the agent-chat path. The symptom
also matches #21096 (worker logs the job finishing, client never
updates, reload shows the message).

It is **not** queue prioritization, and it is **not** addressed by
#22193 (which only stabilizes the assistant message id and removes
end-of-stream flicker).

A secondary, independent self-recovery path also existed: BullMQ
stalled-job re-run (default 30s `lockDuration`, no idempotency guard)
re-streaming the whole turn → duplicate assistant messages / double
billing.

## Changes

### Commit 1 — keepalive + silent-death recovery (ports the #21061
pattern to agent chat)
- **Shared:** new `keepalive` variant on `AgentChatSubscriptionEvent`.
- **Server:** wrap the agent-chat subscription iterator with
`wrapAsyncIteratorWithLifecycle` — emit a `keepalive` on connect and
every `APPLICATION_KEEPALIVE_INTERVAL_MS` (30s) so the connection keeps
flushing bytes and a dead connection becomes detectable.
- **Client:** track the last received event timestamp (refreshed on
every chunk/keepalive in the SSE `next` sink); new
`AgentChatStreamKeepAliveEffect` forces a resubscribe + messages refetch
after 90s of silence, so the durable Redis chunk list backfills the gap
(`firstLiveSeq` is reset on resubscribe).

### Commit 2 — stream-job idempotency + lockDuration
- Thread a `lockDuration` option through `MessageQueueWorkerOptions` +
the BullMQ driver; set `aiStreamQueue` to 10 min so long streams aren't
falsely stalled.
- Guard `StreamAgentChatJob.handle` with a `streamId`-scoped Redis lock
(`SET NX PX` + compare-and-delete release) so a stalled re-run is
skipped instead of double-processing.

## Verification

⚠️ I could **not run typecheck/lint locally** — `yarn install` could not
complete in this environment (transient registry network aborts before
the link step, so `node_modules` never populated). **Please rely on CI
for type/lint verification.** The changes are written to match existing
conventions; the points most worth a reviewer's eye are the resolver's
iterator typing and the ioredis `set(..., 'PX', ttl, 'NX')` overload.

How to confirm the root cause in prod: a frozen client with the worker
logging `StreamAgentChatJob processed in …ms` and no `[AI_CHAT_NO_TEXT]`
is the silent-death signature (check reverse-proxy idle/buffering). For
the secondary path, watch `aiStreamQueue` `stalled`/re-processed metrics
and duplicate turns around worker restarts.

## Notes / trade-offs
- The 10-min `lockDuration` means a genuinely crashed worker's job isn't
reclaimed for up to 10 min; the client-side keepalive/catch-up recovers
the view independently, and the idempotency lock prevents duplicates.
Faster dead-worker recovery could be a follow-up.
- Touches `useAgentChatSubscription.ts` / `AgentChatRuntimeEffects.tsx`
/ `stream-agent-chat.job.ts`, which #22193 also touches — trivial rebase
expected.

Opened as **draft** pending CI.

https://claude.ai/code/session_018dF82A1VcsuWMxPLmdY3dm

---
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2026-06-26 15:19:34 +02:00
Etienne b625bd1995 fix(ai-chat) - improvements (#22193)
- remove flickering at assistant message streamed end
- add copy code
- leave chat history when navigating to settings

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2026-06-26 10:26:40 +02:00
nitin f86bf637d1 [BREAKING CHANGE] remove call recording feature flag and backfill upgrade command for existing command menu items navigation command (#22176)
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2026-06-25 19:43:36 +05:30
Félix Malfait 614bc7b7e6 feat: serve HTTP logic functions on isolated *.withtwenty.com domain (#22045)
## Summary

Implements
[core-team-issues#2473](https://github.com/twentyhq/core-team-issues/issues/2473):
serve HTTP-triggered logic functions from a dedicated, **cookieless**
public domain (`{workspaceSubdomain}.withtwenty.com`) instead of the
same-site `/s/` route, so functions can safely return **arbitrary
headers** — custom headers, `Permissions-Policy`
(camera/mic/geolocation), `Cross-Origin-Opener-Policy: same-origin`,
`Cross-Origin-Embedder-Policy: require-corp`, `Set-Cookie`, etc.

The `/s/` route stays the strict, same-site path it is today.
**Self-hosting is unchanged** — everything new is gated on
`PUBLIC_DOMAIN_URL` being set.

### Why

Today user-authored function responses are served same-site with the
Twenty app, so the response-header allow-list is restricted to 5 safe
headers and request headers are limited to a per-function allow-list.
Serving from an origin that shares nothing with `*.twenty.com` removes
that constraint safely — the same "user content domain" pattern as
GitHub (`*.githubusercontent.com`) and CodeSandbox (`*.csb.app`).

## What's in here

**Routing**
- The **root-path → `/s` rewrite happens at the nginx ingress**, not in
app code. The existing `api-ingress.yaml` already rewrites root paths
onto `/s` (host-agnostically) when the edge sets
`X-Twenty-Public-Domain: true`, so `*.withtwenty.com` and registered
custom public domains are handled by the same mechanism. (An earlier
in-app middleware was removed as a redundant, wrong-layer duplicate.)
- `WorkspaceDomainsService.resolveWorkspaceAndPublicDomain` recognizes
`*.` subdomains, resolves the workspace by subdomain, and returns
`isIsolatedOrigin`. Explicitly registered public-domain rows still take
precedence and keep their application scoping. The ingress preserves the
`Host` header, so this resolution still fires.

**Headers (server)**
- Isolated origin → all response headers pass through and all request
headers are forwarded. Same-site `/s/` keeps the strict allow-lists.
(Global CORS already handles preflight/ACAO.)

**`/s/` deprecation for new routes (cloud only)**
- New `LOGIC_FUNCTION_LEGACY_ROUTE_CUTOFF` config var (ISO date,
optional). When `PUBLIC_DOMAIN_URL` is set, functions created on/after
the cutoff return **410 Gone** on `/s/` with the new URL. Existing
routes and self-hosted instances are untouched.

**Frontend education**
- `publicFunctionDomain` added to `ClientConfig` (from
`PUBLIC_DOMAIN_URL`).
- The logic-function **Live URL** now resolves to
`https://{workspaceSubdomain}.{publicFunctionDomain}{path}` on cloud,
falling back to `/s/` for self-hosting.
- Front components call their functions through the SDK
(`RestApiClient`), which now targets the isolated domain via the
injected `TWENTY_FUNCTIONS_URL`.
- New **"Public URL"** section on the application **Settings** tab
explaining the isolated domain (shown when the app exposes
HTTP-triggered functions).

**Docs**: note the `withtwenty.com` domain for external callers in the
apps guide.

## Infra prerequisites (not code — needs dashboard work)
- Wildcard DNS `*.withtwenty.com` (proxied) + wildcard TLS in the
public-domain Cloudflare zone.
- Edge (Cloudflare) sets `X-Twenty-Public-Domain: true` for
`*.withtwenty.com` requests, so the existing nginx ingress rewrites them
onto `/s` (same header the custom-domain flow already relies on).
- Set `PUBLIC_DOMAIN_URL=https://withtwenty.com` on cloud.
- Submit `withtwenty.com` to the **Public Suffix List** (required for
cross-tenant cookie isolation before relying on `Set-Cookie`).

## Test plan
- [x] `nx typecheck twenty-server`, `nx typecheck twenty-front`
- [x] `lint:diff-with-main` + oxfmt clean (server + front)
- [x] `npx jest route-trigger public-function-domain
domain-server-config workspace-domains build-logic-function-event
client-config` → server unit tests passing (resolution tiers, header
passthrough vs allow-list, `/s/` cutoff 410)
- [x] `npx jest getLogicFunctionHttpUrl` (front) and `nx test
twenty-client-sdk` (RestApiClient routing) passing
- [x] CI green (server, front, sdk, renderer, ui, zapier, example apps)
- [ ] Manual: hit `{subdomain}.withtwenty.com/` end-to-end once infra is
provisioned

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2026-06-24 15:57:01 +02:00
Weiko 56e20a81ea Revert 21949 (#22081)
#21949 introduced deterministic uuid utils with usage in the same PR. 
Usage was not uniform and expected a backfill command as well. 
Since we want to release I'm reverting all the changes from that PR that
concerns twenty-server and only keeping the unused utils in
twenty-shared and I'll introduce usages within the same PR as backfill
command
2026-06-24 15:37:16 +02:00
martmull b5a1aed24b feat(server): run server-exposed logic functions in the owner workspace (#22002)
## Summary

Implements the server-level logic-function tier in the simplest shape: a
logic function is "server-exposed" iff its manifest entry carries
`serverWebhookTriggerSettings`. Execution delegates to the
owner-workspace copy of that function — billing, throttling, env vars,
and the existing executor all apply uniformly against that workspace.

Supersedes #21971 with the simplified design from that discussion (no
`applicationRegistrationLogicFunction` registry, no dedicated manifest
type, no separate SDK helper, no special throttling).

## Design

- **Manifest**: `LogicFunctionManifest` gains
`serverWebhookTriggerSettings?`. The declarative `workspaceIdResolver`
shape is dropped.
- **Materialization**: those settings become two new jsonb columns on
`LogicFunctionEntity`. The manifest → flat converter and the
create-from-source DTO/util forward them; the property-config map and
editable-properties list are extended.
- **Lookup**: a single QB query joins `logicFunction → application →
applicationRegistration` and filters on `lf.workspaceId =
reg.workspaceId` to get only the owner workspace's copy.
- **Webhook**: `POST /webhooks/server/:logicFunctionUniversalIdentifier`
→ `ServerWebhookTriggerService.handle` → join lookup →
`LogicFunctionTriggerService.run`. No registry table, no
`:applicationRegistrationUniversalIdentifier` segment, no resolver.
- **Gate**: `IS_SERVER_LOGIC_FUNCTION_ENABLED` config var (disabled by
default).

## Test plan
- [x] `npx jest server-webhook-trigger` — 9 unit tests across the
webhook service.
- [x] `npx jest logic-function` — 88 existing tests stay green.
- [x] `npx nx typecheck twenty-server`.
- [x] `npx nx lint:diff-with-main twenty-server`.
- [x] Reset DB → init → run `database:migrate:prod` → run
`database:migrate:generate --name pending-migration-check` → no drift.
- [ ] Manual: hit `/webhooks/server/<uid>` end-to-end against a manifest
carrying `serverWebhookTriggerSettings`.

https://claude.ai/code/session_01GgsnCGmYJ26xRirx8va1Yh

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2026-06-24 13:34:12 +00:00
Etienne 5ca41d55fb feat(ai): humanize tool-call (#21976)
# Humanize tool-call labels

cc: https://github.com/twentyhq/twenty/pull/21462

## Preview
<img width="459" height="156" alt="Screenshot 2026-06-22 at 19 13 11"
src="https://github.com/user-attachments/assets/e7a2f5f5-cd09-4ec6-920b-5eb16b98285c"
/>
<img width="461" height="156" alt="Screenshot 2026-06-22 at 19 14 54"
src="https://github.com/user-attachments/assets/c2114d2e-2aa8-499a-9801-68e3bb7c45f8"
/>
<img width="461" height="505" alt="Screenshot 2026-06-22 at 19 15 01"
src="https://github.com/user-attachments/assets/ee9ca5d0-8e79-4c63-a2ff-ed5e359a9a9c"
/>

## Why

In the AI chat, tool steps were displayed using raw tool identifiers
(`find_many_companies`, `create_one_task`, `send_email`...) and labels
were partially reconstructed/humanized on the frontend. This was hard to
localize and inconsistent across tool categories.

This PR makes the **backend the single source of truth for
human-readable, localized tool labels**, exposes them through
`getToolIndex`, and reduces the frontend to a thin resolver that picks
the right label for the current status (in-progress / completed).

## What changed

### Backend

- `ToolIndexEntry` (and the `getToolIndex` GraphQL DTO) now carry
`label`, `inProgressLabel?`, `completedLabel?`.
- New `getCrudToolLabels(operation, objectLabel, i18nService, locale)`
builds CRUD labels from a verb table (Search / Find / Group / Create /
Update / Upsert / Delete × imperative / in-progress / completed) + the
(translated, lowercased) object label.
- New `translate-tool-label.util.ts` translates a source label via
`I18nService` (`generateMessageId` → fallback to source when no
translation exists).
- Action tools: labels extracted to the `ACTION_TOOL_LABELS` constant
(`msg` + `i18nLabel`) and translated in
`ActionToolProvider.buildDescriptor`.
- Logic-function tools use the function name as label;
`toolSetToDescriptors` (workflow / view / metadata / dashboard) accepts
an optional `labels` map and falls back to a humanized tool name.
- Labels are localized server-side using the request locale
(`@RequestLocale` → `buildToolIndex` → `context.locale`, threaded
through `ToolContext` / `ToolProviderContext`).
- `code_interpreter` schema now asks the model for `loadingMessage`
(present tense) and `completedMessage` (past tense), so its status text
is model-generated.
- Removed the old generic `loadingMessage` injection mechanism
(`wrap-tool-for-execution.util.ts` deleted; `wrapJsonSchemaForExecution`
/ `stripLoadingMessage` no longer wrap every tool).

### Frontend

- New `useToolLabelMap()` hook builds a `Map<name, { label,
inProgressLabel, completedLabel }>` from `getToolIndex`.
- `getToolDisplayMessage` → `resolveToolDisplayMessage({ input,
toolName, isFinished, labelMap, output })`: a small resolver registry
keyed by tool name (`execute_tool`, `web_search`, `learn_tools`,
`load_skills`, `code_interpreter`, default).
- Default resolver prefers backend `completedLabel` / `inProgressLabel`,
falling back to `Ran X` / `Running X`.
- `learn_tools` / `load_skills` resolve their inner tool/skill names to
labels (label map → tool output labels via `getToolOutputLabelEntries` →
raw name).
- `code_interpreter` step is now expandable to show the code even while
running.

## How tool labelling flows (BE → FE)

```text
BACKEND
┌───────────────────────────────────────────────────────────────────────────┐
│ Tool providers (per category) → ToolIndexEntry                              │
│                                                                             │
│  DatabaseToolProvider                                                       │
│    getCrudToolLabels(operation, object.labelPlural/Singular, i18n, locale)  │
│      verb table (Search/Create/Update/Delete…) + translateToolLabel(object) │
│      → { label, inProgressLabel, completedLabel }                           │
│                                                                             │
│  ActionToolProvider                                                         │
│    ACTION_TOOL_LABELS[toolId] (msg) → translateToolLabel(…, locale)         │
│      → { label, inProgressLabel?, completedLabel? }                         │
│                                                                             │
│  LogicFunctionToolProvider   → label = logicFunction.name                   │
│  toolSetToDescriptors        → label = labels[name] ?? humanize(name)       │
│  (workflow / view / metadata / dashboard)                                   │
└───────────────────────────────────────────────────────────────────────────┘
            │ 
            ▼
┌───────────────────────────────────────────────────────────────────────────┐
│ GraphQL  Query getToolIndex : [ToolIndexEntry]                              │
│   { name, label, inProgressLabel, completedLabel, description,              │
│     category, objectName, icon }                                            │
└───────────────────────────────────────────────────────────────────────────┘
            │
            ▼
FRONTEND ─ resolve the right label for the current status
┌───────────────────────────────────────────────────────────────────────────┐
│ useGetToolIndex() → useToolLabelMap()                                       │
│   Map<name, { label, inProgressLabel?, completedLabel? }>                   │
└───────────────────────────────────────────────────────────────────────────┘
            │
            ▼
┌───────────────────────────────────────────────────────────────────────────┐
│ resolveToolDisplayMessage({ input, toolName, isFinished, labelMap, output })│
│                                                                             │
│   TOOL_LABEL_RESOLVERS[toolName] ?? defaultResolver                         │
│   ├─ execute_tool     → unwrap { toolName, arguments } then re-resolve      │
│   ├─ web_search       → "Searching/Searched the web for <query>"           │
│   ├─ learn_tools      → "Learning/Learned <labels>"                         │
│   ├─ load_skills      → "Loading/Loaded <labels>"                           │
│   │     inner names resolved via: labelMap → output labels → raw name       │
│   ├─ code_interpreter → model's loadingMessage / completedMessage           │
│   └─ default          → isFinished                                          │
│                           ? completedLabel ?? "Ran <label>"                 │
│                           : inProgressLabel ?? "Running <label>"            │
└───────────────────────────────────────────────────────────────────────────┘
            │
            ▼
   Rendered by ThinkingStepsDisplay / ToolStepRenderer
```

## Localization notes

- Standard object labels and action/CRUD verbs are translated
server-side via `I18nService` using the requester's locale.
- Custom object labels are not translated unless a workspace custom
translation exists (matched by `generateMessageId`); otherwise the
source label is used as-is.

## Tests

- **FE:** `resolveToolDisplayMessage` / `getToolOutputLabelEntries`
(status selection, inner-name resolution, `code_interpreter` model
labels, fallbacks).
- **BE:** `toolSetToDescriptors` (label map + humanized fallback) and
`database-tool.provider` label generation.

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2026-06-24 13:41:09 +02:00
Paul Rastoin d2387430a1 Factorize from entity to flat entity utils (#21972)
## What

Factorizes the two responsibilities that were copy‑pasted across every
`from-<entity>-entity-to-flat-<entity>` util into two reusable tools.

### `fromEntityToScalarEntity`
Projects a TypeORM entity into its scalar flat shape using an
**allow‑list** driven by
`ALL_ENTITY_PROPERTIES_CONFIGURATION_BY_METADATA_NAME` (plus the base
columns `id`/`workspaceId`/`applicationId`/`universalIdentifier`). Only
registered scalar columns are forwarded, `Date`s are serialized to ISO
strings, and absent values are normalized to `null`. Replaces the
previous deny‑list (`removePropertiesFromRecord`) approach, so
unregistered/deprecated columns can no longer silently leak into the
flat entity.

### `resolveManyToOneRelationIdsToUniversalIdentifiers`
Resolves an entity's many‑to‑one foreign keys to their universal
identifiers, driven by `ALL_MANY_TO_ONE_METADATA_RELATIONS`. Handles the
always‑present `application`, nullable relations, and throws a
`FlatEntityMapsException` when a referenced id is missing from its
identifier map. Mirrors `resolveUniversalRelationIdentifiersToIds` in
the opposite direction.

Each `from-<entity>` util now reduces to: scalar spread + relation
spread (+ explicit one‑to‑many id/universalIdentifier arrays where
applicable).

### Note
The allow‑list drops `isUIReadOnly` (a `WasRemovedInUpgrade` column not
in the config) from `fieldMetadata`, which is the only
integration‑snapshot change.

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2026-06-24 10:20:09 +00:00
Weiko b7850a6c64 feat(metadata): deterministic universalIdentifiers for server-generated side-effects (#21949)
## Context

Server-generated "side-effect" entities created for every object (system
fields, INDEX view, record-page fields view + view fields, search-vector
index, navigation command, record page layout/tabs/widgets) were minted
with random v4() ids. Because they were non-deterministic, nothing could
reference them by id (e.g. point a view field at an object's createdAt
field).

This PR introduces a single shared rule for deriving these ids
deterministically via uuid v5, so the same (owner app, parent, kind)
always yields the same id, making side-effects referable and
reproducible.

This is the **forward-only foundation** (PR1). Follow-ups:
- PR2: SDK with optional universalIdentifier + expose helpers to app
authors.
- PR3: regenerate the standard-app constants to the same scheme +
workspace backfill.

## The rule
```ts
universalIdentifier = computeOwnerScopedUniversalIdentifier({ ownerAppUID, namespace, value })
                    = v5(value, v5(ownerAppUID, ENTITY_TYPE_NAMESPACE))

value = `${parentUID}:${discriminator}`   // entity scoped under a parent
      = `${discriminator}`                // top-level, app-parented entity
```
- ownerAppUID: The application that owns the entity (already threaded
through every generator as applicationUniversalIdentifier); folded into
the namespace so it both owns and scopes
the id — two apps adding the same-named entity to a shared parent never
collide.
- namespace: Per entity type (ENTITY_TYPE_NAMESPACE_BY_TYPE), so
different types with the same parent+discriminator never collide.
- parentUID: The immediate parent's actual universalIdentifier (omitted
for top-level entities, since the owner app already scopes them).
- discriminator: A stable semantic key (field name, tab/widget title,
generated index name, select-option value, …).

Scope boundary: deterministic v5 applies to system side-effects (unique
by construction) and, later, app-authored manifest entities (uniqueness
enforced at SDK build time).
Entities created through the UI by the workspace "Custom" app (custom
objects/views/fields) keep v4, their natural keys aren't unique and
aren't enforced. A UI-created custom object keeps its v4 id; its
side-effects are deterministic relative to that v4 parent.

Changes

twenty-shared: new application/deterministic-identifier/ module:
- computeDeterministicUuid(value, namespace) primitive + a thin
computeOwnerScopedUniversalIdentifier wrapper (boilerplate only), and
frozen ENTITY_TYPE_NAMESPACE_BY_TYPE.
- One self-contained util per usecase (no central registry, no generic
engine): each util bakes in its own discriminator + namespace, so a key
lives next to the code that uses it and is individually testable. ~28
utils covering side-effect and (future) app-authored entities, e.g.
getFieldUniversalIdentifier, getIndexViewUniversalIdentifier,
getFieldsWidgetViewUniversalIdentifier, getViewFieldUniversalIdentifier,
getIndexUniversalIdentifier, getRecordPageLayoutUniversalIdentifier,
getPageLayoutTab/WidgetUniversalIdentifier,
getNavigationCommandUniversalIdentifier, plus the general
getViewUniversalIdentifier / getPageLayoutUniversalIdentifier and
app-authored
getObject/Role/PermissionFlag/Agent/Skill/…UniversalIdentifier.
- Golden snapshot test locking every util's output for fixed inputs,
plus a cross-type no-collision test.

twenty-server: side-effect generators now derive universalIdentifier via
the helpers (local id PKs stay v4()): system fields + name, INDEX view,
record-page fields (fields-widget) view, default view fields,
search-vector index, nav command, page layout/tabs/widgets. Index ids
key off the generated Postgres index name; extracted
computeFlatIndexNameOrThrow so the name (and therefore the id) is
computed once with no placeholder.

## Timeline

### What actually changes

- New objects (custom objects created via Settings/metadata API) and
fresh standard installs now get deterministic v5 universalIdentifiers
for all side-effect entities (system fields,
views, view fields, search index, nav command, page layout/tabs/widgets)
instead of random v4().
- The nav-command id formula changed (new owner-scoped) for new objects,
fresh standard installs, and the runtime lookup.

### What does NOT change

- Existing objects' side-effect ids — untouched (no migration;
forward-only).
- Standard object UIDs — untouched
- UI-created custom entities' own ids stay v4 (see scope boundary
above).
- Fresh installs are behaviorally a no-op — ids are internal; re-sync
produces no diff (verified). Nothing user-visible.

### The one real-world impact / risk (existing workspaces)

The nav-command runtime lookup (findNavigationCommandMenuItemForObject)
now computes the new formula, but existing workspaces' nav commands were
stored with the old formula. So on an upgraded existing workspace, until
the PR3 backfill:
- Object activate/deactivate toggle for existing objects won't find the
nav command → re-activating can create a duplicate nav command;
deactivating may no-op.
- Object deletion won't find/clean up the old nav command → orphaned
nav-command row.

### What app developers get right now

Nothing usable yet. The helpers exist in twenty-shared but aren't
re-exported from twenty-sdk (PR2), and app-authored objects still get
SDK-derived ids in the old format until PR2
re-mints them. So "reference a server entity by deterministic id"
doesn't work end-to-end until PR2
2026-06-24 11:47:44 +02:00
Paul Rastoin f98f514640 Introduce search field metadata in 2 16 (#22055)
# Introduction

The devpx wasn't prepare for an already existing entity becoming a
syncable entity
Though the search field metadata entity was dormant anw
So considering it has been introduced starting from 2.16 is the quickest
and easiest tradeoff we can get

This PR is also reverting this one
https://github.com/twentyhq/twenty/pull/22039 that was introducing a new
way to decorate an entity at class level. But it did not fixed the issue

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2026-06-24 08:18:59 +00:00
Paul Rastoin b768441c13 Fix 2.16 search field metadata cross version upgrade (#22039)
# Introduction
Allow decorating at class scope the properties introduced in specific
upgrade command
```
@WasIntroducedInUpgrade({
  upgradeCommandName:
    ADD_UNIVERSAL_IDENTIFIER_AND_APPLICATION_ID_TO_SEARCH_FIELD_METADATA_UPGRADE_COMMAND_NAME,
  properties: ['universalIdentifier', 'applicationId', 'position'],
})
``` 

Here the search field metadata has been created as it without extending
the syncableEntity a previous PR I've created now extends it, but
nothing has been protected the fact they're not decorated. Also having
to re-declare the properties would be redundant to me

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2026-06-23 16:51:07 +00:00
Paul Rastoin e9d5d71cd3 Wire up search field metadata (#21964)
## Part 1 - Exact scope of the current PR (#21964)

close https://github.com/twentyhq/core-team-issues/issues/2586

This PR introduces `searchFieldMetadata` as a first-class flat metadata
entity and migrates the existing search surface onto it, with **no
change to which records are searchable** (ISO with `main`).

In scope (what the PR does):
- New flat entity `searchFieldMetadata` (universalIdentifier,
applicationId, **`position`**, maps, conversions), registered in the
central flat-entity constants and the migration build orchestrator.
- `searchVector.asExpression` is **derived server-side** from
`searchFieldMetadata` rows (validated by `isSafeTsVectorExpression`);
never trusted from client input.
- **Derivation order is deterministic, driven by each row's `position`**
([compute-search-vector-as-expression-from-search-field-metadatas.util.ts](packages/twenty-server/src/engine/metadata-modules/flat-search-field-metadata/utils/compute-search-vector-as-expression-from-search-field-metadatas.util.ts)),
replacing the previous non-deterministic `(createdAt, id)` sort. That
sort collapsed to random UUIDs for standard fields (same `createdAt`),
so any rename/relabel rewrote the `STORED` generated column to a
logically-identical-but-textually-different expression and produced a
permanent per-workspace diff vs the standard definition. Ordering now
equals provisioning order; ties break on `universalIdentifier`.
- Provisioning at object creation mirrors the existing surface exactly
**and seeds `position`**:
- custom objects -> the `name` field only, at `position: 0`
([build-default-search-field-metadatas-for-custom-object.util.ts](packages/twenty-server/src/engine/metadata-modules/object-metadata/utils/build-default-search-field-metadatas-for-custom-object.util.ts))
- standard objects -> their curated `SEARCH_FIELDS_FOR_*` sets,
`position` = the curated index
- Backfill (instance + workspace commands in `2-16`) provisions rows for
existing workspaces with the same surface **and the same positions**
(standard from the curated standard maps, custom `name` = `0`), scoped
to the workspace's own custom application
([build-search-field-metadata-backfill-operations.util.ts](packages/twenty-server/src/database/commands/upgrade-version-command/2-16/utils/build-search-field-metadata-backfill-operations.util.ts)).
The `position` column is added in the same `2-16` fast instance command
as `universalIdentifier`/`applicationId`.
- Field rename of an already-indexed field recomputes `asExpression`
(positions preserved, so order is stable)
([recompute-search-vector-on-field-rename.util.ts](packages/twenty-server/src/engine/metadata-modules/flat-field-metadata/utils/recompute-search-vector-on-field-rename.util.ts)).
- Field delete drops the matching row(s) and recomputes; remaining rows
keep their relative order (no renumber)
([from-delete-field-input-to-flat-field-metadatas-to-delete.util.ts](packages/twenty-server/src/engine/metadata-modules/flat-field-metadata/utils/from-delete-field-input-to-flat-field-metadatas-to-delete.util.ts)).
- Object relabel is **additive** and ISO/regression-fix only: it indexes
the new label identifier **appended last (`position = max(existing) +
1`)** without dropping `name`
([recompute-search-vector-on-label-identifier-update.util.ts](packages/twenty-server/src/engine/metadata-modules/flat-object-metadata/utils/recompute-search-vector-on-label-identifier-update.util.ts)).
This is a deliberate, temporary bridge.

Explicitly OUT of scope (deferred):
- No API to edit `searchFieldMetadata` (no user-facing search-field
configuration, including `position` — it is internal and only written by
provisioning/backfill/recompute).
- No auto-indexing of arbitrary searchable fields. Creating a custom
TEXT/EMAILS/etc. field does NOT add it to search (the
`computeSearchFieldMetadataCreationForFields` behavior was removed in
`e6820ad`).
- No field-type-transition handling (field type is immutable - not in
`FLAT_FIELD_METADATA_EDITABLE_PROPERTIES`, so that path was dead code).
- No `position` validation (uniqueness/range) and no multi-vector /
per-field `weight` config — deferred to the configurable-search
follow-up (#1428).

Net: `searchFieldMetadata` becomes the source of truth for the *same*
surface as `main`. The only intentional divergences from `main` are
"relabel preserves `name`" (additive) and the deterministic
`position`-ordered `asExpression` (a correctness/perf fix that is
byte-identical to provisioning order, so it does not change the
searchable surface).

---------

Co-authored-by: Félix Malfait <felix@twenty.com>
2026-06-23 16:27:13 +02:00
Etienne 7b45380777 feat(ai): large tool output handling + navigation tools (#21982)
## Summary

Large tool outputs (e.g. a workflow run that serializes to ~70k tokens)
blow the chat context budget and force per-tool "raw" variants. This PR
handles oversized outputs generically in one place:

1. **Producer:** when a tool result exceeds a byte budget, it is spilled
to a `FileFolder.AgentChat` file and replaced with a compact `{ spilled,
outputRef, shape, hint }` envelope.
2. **Consumer:** two bounded, in-server navigation tools —
`extract_json_path` and `search_output` — let the model dig into the
spilled file by `fileId` without spinning up `code_interpreter`.

Together they add a fast, auditable middle tier between "truncated
inline preview" and "full code_interpreter relay," and enable an
enterprise "restricted" mode (spill + navigation, no sandbox).

## Data flow

```mermaid
flowchart TD
  exec["resolveAndExecute / hydrateToolSet closure"] --> compact[compactToolOutput]
  compact --> enabled{"spillLargeOutput enabled? (chat only)"}
  enabled -->|no| inlineRaw["inline raw (MCP, workflow, sandbox bridge)"]
  enabled -->|yes| size{"bytes > MAX_INLINE_TOOL_OUTPUT_BYTES?"}
  size -->|no| inline["inline result"]
  size -->|yes| skeleton["jsonShapeSkeleton + largeOutputHint"]
  skeleton --> write["writeFile(AgentChat)"]
  write --> envelope["return { spilled, outputRef, shape, hint }"]
  envelope --> model[Model]
  model --> nav["extract_json_path / search_output / code_interpreter (by fileId)"]
```

## Part 1 — Navigation tools (consumer)

- `extract_json_path`: extracts a sub-tree from a spilled JSON file by a
JSONPath-lite expression (dot/bracket access, array slicing,
single-level wildcard), with `maxItems`/`maxDepth` bounding. No filters
or recursive descent — those belong to `code_interpreter`.
- `search_output`: grep-like line search with context lines and
stateless `offset` pagination (`{ matches, totalMatches, hasMore }`).
- Both read from `FileFolder.AgentChat` by `fileId`, enforce their own
output byte cap, and are registered in `ActionToolProvider` (always
available; read-only).

## Part 2 — Spill producer

- Spilling slots in right after the existing `compactToolOutput` step at
the two seams in `ToolRegistryService` (`resolveAndExecute` and the
`hydrateToolSet` execute closure).
- `ToolOutputSpillService.spillIfTooLarge()` measures
`Buffer.byteLength`; over `MAX_INLINE_TOOL_OUTPUT_BYTES` (16 KB ≈ 4k
tokens) it writes the full payload and returns the envelope. Spill
failures never block the call (inline + warning).
- `jsonShapeSkeleton` computes a bounded structural map (depth 4, arrays
as `"array[N] of <type>"`, id-keyed maps collapsed, long leaves as size
markers, hard-capped at 1024 bytes) so the model knows the key paths in
one pass.
- Optional per-tool `largeOutputHint` (on the `Tool` type, threaded via
the descriptor) is used as the hint when present, else a generic hint.
The `shape` is always computed generically.

## Surfaces

Spilling is an opt-in flag (`spillLargeOutput`) mirroring
`compactOutput`:

| Surface | `spillLargeOutput` | Behavior |
| --- | --- | --- |
| AI chat / agent | `true` (in `chat-execution.service.ts`) | Spill on;
nav tools + `code_interpreter` in catalog |
| External MCP clients | unset | Raw output |
| Workflow agents | unset | Raw output |
| `code_interpreter` sandbox bridge | unset (it's an MCP call) | Raw
output |

The sandbox bridge inherits "no spill" for free via the MCP path — no
header sniffing, no `ToolContext.source` field.

## Design constraints (anti-micro-OS)

Exactly two navigation tools, no composition/piping, read-only, bounded
output. The boundary is: expressible as a single path lookup or text
search → nav tool; aggregation/correlation/transform →
`code_interpreter`.

## Notes / deviations from the plan

- `jsonShapeSkeleton` and `ToolOutputSpillService` live under the `tool`
module (not `tool-provider/output-transforms`) to avoid a `tool →
tool-provider` import cycle.
- Spill files use `{ isTemporaryFile: false, toDelete: false }` (same as
`code_interpreter`); `isTemporaryFile` here means files-field promotion,
not a TTL.

## Test plan

- [x] `extract-json-path` + `search-output` util unit tests (23 cases)
- [x] `jsonShapeSkeleton` unit tests (6) and `ToolOutputSpillService`
unit tests (4)
- [x] oxlint + oxfmt clean on changed files; `twenty-server` typecheck
clean (pre-existing unrelated errors aside)
- [ ] Manual: trigger an oversized tool result in chat, confirm the
envelope is returned and `extract_json_path` / `search_output` read the
spilled file by `fileId`

## Why no automated e2e

Spilling is chat-only and the chat path runs a live model, so the
black-box MCP integration harness can't deterministically trigger a
spill (MCP intentionally doesn't spill). The seam is small, explicit
flag-threading mirrored on `compactOutput`, covered by the unit suites.

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2026-06-23 10:46:06 +00:00
neo773 9e31ffdf68 feat(messaging): webhook push sync for Gmail, Calendar and Microsoft (#21970)
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2026-06-23 14:04:16 +05:30
mfamularopsyc d2083e7a1b Set OpenAI Responses store false for AI chat and agents (#20888)
## Summary

This PR sets `openai.store = false` for Twenty's `@ai-sdk/openai` AI
calls.

This follows the approach discussed in #20877: instead of adding a new
Twenty-specific Zero Data Retention config variable, OpenAI Responses
calls no longer rely on OpenAI-stored response/item references. This
should help Zero Data Retention organizations and may also avoid stale
persisted-item replay errors for non-ZDR OpenAI users.

Changes included:

- Adds a shared OpenAI provider-options helper that merges `openai.store
= false` for `@ai-sdk/openai` models.
- Applies the helper to AI chat `streamText` calls.
- Applies the helper to workflow/agent `generateText` calls.
- Preserves OpenAI encrypted reasoning metadata through DB/UI message
mappers so reasoning context can be replayed without stored OpenAI item
references.
- Does not add a new env/config variable.

Related to issue #20877.

## Behavior / Tradeoffs

This changes OpenAI Responses behavior for all Twenty OpenAI users, not
only ZDR users.

The intended benefit is that Twenty no longer depends on OpenAI-stored
response/item references. The main tradeoff is reduced provider-side
item-reference reuse for non-ZDR OpenAI users.

To reduce the impact for reasoning models, this PR preserves
`providerMetadata.openai.reasoningEncryptedContent` through message
persistence/replay so reasoning context can still be provided without
stored OpenAI item references.

## Tests

- Focused server Jest tests for OpenAI provider-options merging and
reasoning metadata mapping.
- Focused frontend Jest test for reasoning metadata mapping.
- `oxlint` and `oxfmt --check` on changed files.
- `git diff --check`.

---------

Co-authored-by: Charles Bochet <charles@twenty.com>
Co-authored-by: Etienne <45695613+etiennejouan@users.noreply.github.com>
2026-06-22 17:26:02 +00:00
Paul Rastoin 0b8368cd6c Refactor search vector field (#21947)
# Introduction
Refactoring the search vector field validation

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2026-06-22 13:44:52 +02:00
Abdul Rahman 1b7dc0367e fix(ai): gemini not working in ask ai (#21898)
Upstream issue: https://github.com/vercel/ai/issues/14369

Gemini 400s whenever a tool result contains JSON Schema `$ref`/`$defs`
(it reads `$ref` as a function declaration name and finds no match). We
hit this because `learn_tools` returns tool input schemas, and our
recursive filter schema emits `$ref`/`$defs`. Other providers accept it
fine, so this only blocks Gemini.

Adds a Google-only `wrapLanguageModel` middleware that serializes
ref-bearing tool results to text before they reach Gemini, so the
pointers travel as a string instead of structured keys. The model still
reads the full schema (same as the MCP path). Guarded so normal tool
results pass through untouched.


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---------

Co-authored-by: Charles Bochet <charles@twenty.com>
2026-06-22 07:16:59 +00:00
martmull 6423c4cd3c Add recall io webhook endpoint (#21879)
## Context

Bot-recording integrations (e.g. the Recall.ai meeting bot) receive
webhooks from a third-party provider that delivers **every
tenant's events to a single URL**. Our existing `route-trigger` (`/s/…`)
resolves the workspace from the request host, which can't
work for one shared multi-tenant webhook URL. We need an instance-scoped
ingress that identifies the target workspace from the payload
  instead.

  ## Strategy

Add a new **`ingress-trigger`** logic-function trigger, mirroring
`route-trigger`:

  - A public endpoint keyed by the app's identifiers: `POST

/webhooks/ingress/:applicationRegistrationUniversalIdentifier/:logicFunctionUniversalIdentifier`.
- The logic function declares an `ingressTriggerSettings` block in its
manifest describing how to find the workspace in the payload
  (`workspaceId: { source: 'body' | 'query' | 'header', path }`).
- Core only **resolves the workspace** (declarative, fail-closed,
prototype-safe path getter), verifies the app is installed in that
workspace, then runs the function **synchronously** so the provider sees
the response (status codes / retries).
- **Signature verification stays in the logic function** (it gets
`rawBody` + forwarded headers), keeping core provider-agnostic.
- Shared execution logic (`build event → execute → map response`)
extracted into `LogicFunctionTriggerService`, now reused by both
  `route-trigger` and `ingress-trigger`.

  ## Major changes

- **twenty-shared**: new `ingressTriggerSettings` on
`LogicFunctionManifest` (`IngressTriggerSettings` type).
- **twenty-server**: new `ingress-trigger` module (controller, service,
exception + filter, workspace-id resolver util).
- **twenty-server**: extracted `LogicFunctionTriggerService` +
`route-trigger-response.util` (response builder + sender); refactored
  `RouteTriggerService` and both controllers to reuse them.
- **twenty-docs**: documented the ingress trigger (endpoint, workspace
resolution, signature responsibility, provider HMAC examples).
  - Unit tests for the resolver and the ingress service.
2026-06-19 23:34:43 +02:00
Félix Malfait 23f5ba9ebf feat: add resizable kanban column width (#21828)
## What & why

Lets users resize the columns of a Kanban (record board) view. Requested
by a user; the design avoids the "ragged board" problem by making the
width a **single shared value**.

## Behaviour

- A drag handle appears on the right edge of every column header.
- Because all columns read **one** width value, dragging any handle
resizes **every** column together — they can never end up mismatched.
- Width is clamped between **150px** and **400px** (default **200px**).
- The width is **persisted per view** and restored on reload.

## Approach

**Backend** — a new nullable `View.kanbanColumnWidth` field, threaded
through the existing view-level setting pattern (the same one
`kanbanAggregateOperation` / `shouldHideEmptyGroups` use), so it gets
create/update/manifest/override support for free:
- entity column + `ViewOverrides` + `@WasIntroducedInUpgrade`
- `CreateViewInput` / `UpdateViewInput` (`Int`, `@Min(150)`/`@Max(400)`)
+ `ViewDTO`
- flat-view editable properties, entity-properties config, compare-type,
standard-view + manifest converters
- a fast instance command adding the `core.view` column

**Frontend** — the value hydrates into a view-scoped atom and drives a
single CSS variable set on the board container, which both column
headers and bodies read. Live dragging only writes that CSS variable (no
per-move React re-render); the final width is committed to the atom and
persisted via `updateView` on pointer-up.

## Nullability / defaults

`kanbanColumnWidth` is nullable — `null` means "never resized" and the
UI falls back to the 200px default, so existing rows need no backfill.

## Validation

- `nx typecheck twenty-server`  and `nx typecheck twenty-front` 
- `nx lint:diff-with-main twenty-server` ; frontend lint fixes applied
(split constants to one-per-file, removed `useRef`-for-state in favour
of `useState`).
- Draft pending a final green CI run (the dev container reclaimed
`node_modules` mid-session; re-running locally).

## Test plan

- [ ] Drag a kanban column edge → all columns resize together, clamped
150–400px
- [ ] Reload → width persists for that view; other views unaffected
- [ ] A view that was never resized still renders at 200px

https://claude.ai/code/session_016Qe6oDBkhVbrq2QkXBJ5nE

---
_Generated by [Claude
Code](https://claude.ai/code/session_016Qe6oDBkhVbrq2QkXBJ5nE)_

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---------

Co-authored-by: Claude <noreply@anthropic.com>
2026-06-19 15:58:13 +02:00
Paul Rastoin 26db3f5735 Deprecate legacy encryption (#21831)
# Introduction
Still preserving the cross-upgrade flow

close https://github.com/twentyhq/core-team-issues/issues/2465


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2026-06-19 11:32:39 +00:00
neo773 616d58bc7e messaging: gmail folder backfill (#21753)
demo


https://github.com/user-attachments/assets/a157cee1-a8fa-4050-af1b-c31a83fb75da

/closes #17095


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2026-06-19 01:59:35 +02:00
Weiko 9f30915f6f fix(metadata): remove deprecated isCustom from Objects and Fields (#21799)
## Context

Follow-up to #21228, which deprecated `isCustom` on object/field
metadata but kept it exposed because the frontend still relied on it.
This removes it from the GraphQL API and the frontend entirely.

## Implementation

### Server
- Remove `isCustom` `@Field` from the `Object`, `Field`, and
`MinimalObjectMetadata` GraphQL types
- Remove the `isCustom` `@ResolveField` resolvers and the
`isCustomLoader` dataloader (+ payload/interface)
- Remove `isCustom` as an internal `@HideField()` on the Object/Field
DTOs used by the i18n standard-override gate > Use an explicit
isStandard instead (which is the correct gating)

### Frontend
- Add `getIsMetadataItemCustom` helper + `useGetIsMetadataItemCustom`
hook: an item is custom when `applicationId ===
currentWorkspace.workspaceCustomApplication.id`
- Migrate all consumers off `objectMetadataItem.isCustom` /
`fieldMetadataItem.isCustom`; `isRecordFieldReadOnly` now takes a
precomputed `isFieldCustom`
- Drop `isCustom` from the metadata fragment/mutations/minimal query, FE
types, zod schemas, and mock generators; regenerate GraphQL types

## Notes
- Breaking change on the (already-deprecated) `Object.isCustom` /
`Field.isCustom` GraphQL fields and the `isCustom` filter
- FE semantic is "belongs to the workspace custom app" (third-party-app
objects/fields are treated as non-custom)
- `isCustom` on IndexMetadata / View / Skill / Agent is a separate
column and is untouched
- Breaking changes on REST metadata API
2026-06-19 01:19:49 +02:00
Weiko cc4659ce11 fix(server): type WasRemovedInUpgrade columns with WasRemovedInUpgrade<> (#21785)
## Context

WasRemovedInUpgrade type brand was introduced in
https://github.com/twentyhq/twenty/pull/21228/changes#diff-1b6d688610669a46b3ee8e3a41b1c7eb0ee03e19146d0d249f95df6e56164a92R15
for the `isCustom` property deprecation.
The @WasRemovedInUpgrade decorator and the WasRemovedInUpgrade<T> type
are meant to go together: the type brand makes the property optional in
every derived flat-entity type, so the column only needs to be declared
on the entity itself. RolePermissionFlagEntity.flag had the decorator
but was typed as a plain PermissionFlagType, forcing the property to be
supplied everywhere.

This PR:
- Types flag as WasRemovedInUpgrade<PermissionFlagType> (matching the
isCustom reference impl on object/field metadata).
- Removes the now-redundant flag from the flat-entity construction
sites, the create input, and the service call site — leaving it only on
the entity. The GraphQL RolePermissionFlagDTO.flag is kept (it's an API
field derived from permissionFlag.key, not the removed column).
- Fixes a latent brand-leak in the flat-entity config type: toStringify
is computed via object-detection, and a branded type reads as an object.
This was harmless for boolean but wrongly forced toStringify: true for
enum/string columns. Added UnwrapWasRemovedInUpgrade<T> and applied it
so the brand is transparent making the pattern work for any type, not
just
booleans.

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2026-06-18 15:23:24 +02:00