Commit Graph

181 Commits

Author SHA1 Message Date
martmull c2ca90c255 feat(sdk): add runAgent() to run app agents from logic functions (#21157)
<img width="948" height="593" alt="image"
src="https://github.com/user-attachments/assets/d990fa98-3cfd-469d-ab7f-0b2d4ccf3afc"
/>

<img width="1361" height="802" alt="image"
src="https://github.com/user-attachments/assets/1091f598-49f3-4c16-92ea-1e1c200181e2"
/>


## Add `runAgent()` to the Logic Function SDK

Lets an app's logic function run one of its own AI agents server-side
and get the result back synchronously — reusing the existing agent
executor instead of a new bespoke transport.

  ### Backend
- New **`runAgent` GraphQL mutation** (metadata schema) in
`ai-agent-execution`, wrapping the existing
`AgentAsyncExecutorService.executeAgent`. Scopes the agent lookup to the
calling
  application and runs it under an application auth context.
- New `@AuthApplication()` param decorator (mirrors `@AuthWorkspace()`)
— first GraphQL resolver authenticated by an **application access
token**.
- Guarded by `WorkspaceAuthGuard` +
`SettingsPermissionGuard(PermissionFlagType.AI)`: the app's role must
grant the `AI` permission flag.

  ### SDK
- `runAgent({ agentUniversalIdentifier, prompt })` posts the mutation to
`/metadata` with the app token via a new runtime GraphQL transport.
Returns `{ result, hasNoMoreAvailableCredits
  }`.
- Refactored the connections helpers onto a shared `postAppEndpoint`
util (removes duplicated transport logic).

  ### Frontend
- App install permission modal now shows an explicit consent line —
_"Run AI agents and bill AI credits to your workspace"_ — when the app's
role requests the `AI` flag.

  ### Docs
- Documented `runAgent` and its `AI` permission-flag requirement in
_Skills & Agents_.
- Fixed outdated role-permission examples in _Roles & Permissions_
(`permissionFlags` → `permissionFlagUniversalIdentifiers`,
`PermissionFlag` → `SystemPermissionFlag`).

  ### Test plan
- [x] SDK unit tests (`run-agent.spec.ts`) — request shape, GraphQL/HTTP
error handling, missing env vars
- [x] `twenty-server`, `twenty-front`, `twenty-shared` typecheck + lint
- [ ] Manual: install an app granting the `AI` flag, call `runAgent()`
from a logic function, confirm the agent runs and credits are billed

---------

Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
2026-06-04 16:18:27 +00:00
Paul Rastoin 3d49642d12 [AUDIT] Run knip over twenty-server (#21159)
# Introduction
Run [knip](https://knip.dev/) over twenty-server
Used config:
```json
{
  "$schema": "https://unpkg.com/knip@5/schema.json",
  "workspaces": {
    "packages/twenty-server": {
      "entry": [
        "src/main.ts",
        "src/command/command.ts",
        "src/queue-worker/queue-worker.ts",
        "src/database/scripts/setup-db.ts",
        "src/database/scripts/truncate-db.ts",
        "src/database/clickHouse/migrations/run-migrations.ts",
        "src/database/clickHouse/seeds/run-seeds.ts",
        "src/instrument.ts",
        "lingui.config.ts",
        "test/integration/graphql/codegen/index.ts",
        "test/integration/utils/setup-test.ts",
        "test/integration/utils/teardown-test.ts",
        "scripts/**/*.ts",
        "**/*.spec.ts",
        "**/*.integration-spec.ts"
      ],
      "project": ["src/**/*.ts", "test/**/*.ts", "scripts/**/*.ts"],
      "ignore": [
        "src/database/typeorm/**/migrations/**",
        "src/database/typeorm/**/*.entity.ts",
        "**/*.workspace-entity.ts",
        "**/logic-function-resource/constants/seed-project/**"
      ],
      "ignoreDependencies": ["@types/psl", "@types/aws-lambda"],
      "ignoreBinaries": ["nest", "lingui", "typeorm"]
    }
  }
}
```
2026-06-04 10:05:22 +00:00
github-actions[bot] e99116b0a5 chore: sync AI model catalog from models.dev (#21212)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-06-04 09:31:01 +02:00
Etienne 15eaabdbc1 fix(ai) - optimize crud tools (#21133)
- **Add delete many**, `delete_many_{object}` added alongside the
existing `delete_one_{object}`.
- **Uniformize naming**, crud module, type names, and MCP helper
constants renamed for consistency.
- **Optimize tool schema (learn phase)**
  - `find_many(_companies)`: **7 158 → 2 700 tokens**
  - `find_one(_company)`: **280 → 126 tokens**
  -  ....
- Main mechanism: `reused: 'ref'` (line 7 of
`to-tool-json-schema.util.ts`). Zod walks the schema tree, tracks which
Zod schema instances appear more than once, and emits each reused
instance exactly once in `$defs`, replacing all subsequent occurrences
with a `$ref`. Works because filter and value schemas are now extracted
as shared objects.

- **Optimize system prompt (tool catalog)**, DATABASE_CRUD section
restructured to list operation patterns (`find_many_{object}`, …) once +
objects once, instead of the full N×M cross-product of tool names.
- **Optimize execute_tool**, shared record-properties schema (same
`$defs` deduplication applies at call time); introduced `upsert_many`;
added `selectedFields` to `find_*` so the agent only fetches the fields
it needs.
2026-06-03 17:57:40 +00:00
Etienne dd0039ca1c feat(mcp) - optimize instruction prompt and hide get_tool_catalog (#21183)
Workspace-aware initialize.instructions

- Deleted the static mcp-server-instructions.const.ts
- Created build-mcp-server-instructions.util.ts — a comprehensive system
prompt with identity, object list, tool grammar, routing decision tree,
intent mapping, skills vs tools, safety constraints, and data efficiency
guidelines
- Created McpInstructionBuilderService — fetches workspace-specific
object names + skill names and injects them into the instructions


Hide/deprecate get_tool_catalog

Benefit : skip first MCP call (tools are included in instruction)
2026-06-03 16:58:32 +00:00
Marie 4b15b949f3 Provide additional logsobservability to workflow runs (per node) (#21142)
Surfaces per-step "Logs" tabs in the workflow run side panel so users
can see what each step actually did (model + tokens + tool calls for AI,
console output for serverless functions, request/response for HTTP,
recipients/body for Email).

<img width="546" height="501" alt="ai_agent_without_websearch"
src="https://github.com/user-attachments/assets/c6ca3518-9489-4484-a570-3d0569ff3b03"
/>

## Storage

- New `stepLogs` JSONB column on the `workflowRun` workspace entity,
typed as `Record<string, WorkflowRunStepLog>` (keyed by step id).
- Schema lives in `twenty-shared`: `workflowRunStepLogSchema` with a
discriminated `details.type` union for `AI_AGENT | CODE | HTTP_REQUEST |
EMAIL` — frontends and backends consume the same Zod-inferred type.
- Field is added to existing workspaces via a workspace upgrade command
(`2-9 add-workflow-run-step-logs-field`); the standard-object metadata
declares it for new workspaces.
- Writes happen atomically per step in
`WorkflowRunStepLogWorkspaceService.setStepLog` using `jsonb_set`. That
lets concurrent steps in the same run write their own keys without
contending with the existing lock around `workflowRun.state`.
- Per-step payload is hard-capped at 256 KB; anything larger is dropped
with a `logger.warn`, so a pathological tool call can never bloat a row.
See below for more information.

## How logs are produced

**Aalmost everything was already being collected; this PR mostly
persists and renders it.**

- **AI agent** — `AgentAsyncExecutorService` already tracked token
usage, model id, native web-search count, and the AI SDK's `steps[]`. We
map those into the log via `mapAiStepsToToolCallLogs` (`searchVector`
stripped from record outputs, per-call input/output capped at 32/64 KB,
max 200 tool calls per step). The only new measurement is a wall-clock
`durationMs` taken around `executeAgent`, and we now fold native
web-search cost into the displayed `totalCostInDollars` (it was already
billed, just not shown).
- **Code / serverless function** — reuses the `console.log` output the
function runner already returns (`logsByLevel`);
`build-code-step-log.util` only repackages it.
- **HTTP request** — built from the action's existing input/output via
`build-http-request-step-log.util`. No new signals collected.
- **Email (send / draft)** — added `sanitizedHtmlBody` + `plainTextBody`
to the existing tool outputs (a small additive change), then
`build-email-step-log.util` consumes them.

No additional AI inference or external calls are made for logging — the
cost is a small CPU overhead per step plus the JSONB write.

## Security

The log surface intentionally shows whatever the workflow touched, which
made redaction and sanitization the main design concern.

- **HTTP — secrets in headers**: existing `SENSITIVE_HEADER_NAMES` set
(Authorization, Cookie, …) replaced with `[redacted]` in both request
and response.
- **HTTP — secrets in URLs**: `SENSITIVE_URL_PARAM_NAMES` (e.g.
`api_key`, `token`, `access_token`) replaced in the query string via
`URL`-based parsing.
- **HTTP — secrets in bodies**: `SENSITIVE_BODY_KEY_REGEX` deep-walks
JSON request/response bodies (object input or stringified JSON) and
redacts matching keys. Applied to the `error` field too, since
transport-layer errors sometimes embed structured payloads.
- **Email — XSS risk in body preview**: tool outputs now expose a
server-side `sanitizedHtmlBody`; the log builder prefers it over the raw
user-authored `input.body`, with `plainTextBody` as a second fallback.
The original raw body is only used if sanitization didn't happen (e.g.
tool failed before composing).
- **AI — internal/noisy data**: `searchVector` (Postgres tsvector
strings) is stripped from record outputs returned by Twenty tools to
avoid leaking internal full-text-search payloads.
- **DB bloat / runaway agents**: 256 KB per-step cap + 32 KB / 64 KB
per-tool-call input/output cap + 200 tool calls per step.

<img width="547" height="307" alt="logic_function"
src="https://github.com/user-attachments/assets/dd4a3d16-67f2-434b-95b3-bdcaf9ed053d"
/>

## More details on Log size & truncation

Logs are stored in `workflowRun.stepLogs` (JSONB), keyed by `stepId`.

### Per-step cap

Each step's log is hard-capped at **256 KB** (`MAX_STEP_LOG_BYTES` in
`WorkflowRunStepLogWorkspaceService.setStepLog`).

For ~99% of workflows this is roomy — typical real-world sizes:
- Code / serverless function: 1–20 KB
- HTTP request: 5–70 KB
- Email: 5–30 KB
- AI agent (a handful of tool calls): 5–50 KB

### Two layers of bounding

1. **Per-field truncation** in each builder (before writing):
   - **Code**: ≤ 500 entries, ≤ 4 KB per message, ≤ 8 KB stack trace
   - **HTTP**: ≤ 32 KB per body (request + response), UTF-8 byte-aware
   - **Email**: ≤ 8 KB body preview, UTF-8 byte-aware
- **AI agent**: ≤ 32 KB tool input, ≤ 64 KB tool output, ≤ 200 tool
calls/step

2. **Global per-step safety net** at write time: if the assembled
`stepLog` still exceeds 256 KB, the write is **dropped entirely** with a
`logger.warn`. The workflow itself keeps running unaffected.

### What this means in practice

- **Safe**: workflow execution, step results, downstream steps — never
blocked by log size.
- **Safe**: iterators (each iteration overwrites the previous log for
that `stepId`, so they can't accumulate).
- **Safe**: step retries (same `stepId` is overwritten, not appended).
- **Possible**: an AI agent step with many large tool outputs (e.g., 50+
heavy `web_search` calls) can exceed 256 KB → the **entire** step's log
is dropped, side panel shows "No logs were recorded for this step". The
user has no explicit signal that the log was dropped due to size (only
server-side warn).
- **Possible** (theoretical): a workflow with hundreds of distinct steps
could push the row toward Postgres's internal ~256 MB jsonb limit.
Beyond that, individual `jsonb_set` writes would error and be swallowed
by the action's try/catch — workflow still completes.

### Possible future hardening (not in this PR)

- Replace "drop entire log" with a stub that preserves the summary card
(cost, duration, status) and marks `truncated.reason = 'size_cap'`.
- Surface size-drops in the UI (similar to the existing
`<StyledTruncatedNotice>`).
- Emit a metric so dropped logs are observable in dashboards.
2026-06-03 16:53:47 +00:00
github-actions[bot] 0d9f7673c9 chore: sync AI model catalog from models.dev (#21170)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-06-03 09:34:21 +02:00
Félix Malfait b338a7a1d2 feat(settings): discovery hero rollout + ephemeral playground token (#21072)
## Summary

Two intertwined streams of work:

### UI — discovery hero pattern, settings shell, AI/API redesign
- **Generalize `SettingsDiscoveryHeroCard`** and use it on Layout, Data
Model, Apps, AI, API/Webhooks, Members. Drops 4 per-page wrapper files
(`SettingsObjectCoverImage`, `SettingsLayoutCoverImage`,
`SettingsLayoutCustomizeVideoModal`,
`SettingsDataModelVisualizeVideoModal`). Each page now supplies cover
src, modal id, and tab list.
- **Modal**: swap `<video>` placeholder for the Vimeo iframe pattern
from `twenty-docs`, per-tab `vimeoId`. Drop the parallel border-bottom
on the header (TabList draws its own baseline) and the grey background
behind the video. Note: Vimeo's embed allowlist applies — the iframes
load with the correct URL on `localhost` but the player itself requires
the video owner to allow the dev/staging domains in Vimeo settings.
- **AI page** rebuilt into a Cockpit pattern (Overview / Models / Skills
/ Tools / Usage). New `SettingsAiOverviewTab` with default Smart/Fast
pickers, at-a-glance stats, and an MCP signpost that deep-links to
`/settings/api-webhooks#mcp`. System Prompt link moved under Models.
Advanced tab removed.
- **API & Webhooks** now has 4 tabs (Playground / MCP / API Keys /
Webhooks). Hero card above tabs. Playground tab inverted to "Core API" /
"Metadata API" sections, each containing REST + GraphQL cards — schema
is the meaningful axis, protocol is secondary. Hash deep-link sync
delegated to the shared `TabListFromUrlOptionalEffect`.
- **Settings shell**: unified drawer outer padding (kill `isSettings`
branch), extract `CollapsibleNavigationDrawerSection`, add `iconColor`
on settings nav items, fix Exit Settings button alignment, 880px content
cap.

### Backend — strategy C: ephemeral playground token
The legacy paste-your-API-key flow is replaced by an on-demand
short-lived token scoped to the calling user's permissions. No shared
"Playground" API key to manage or revoke.

- New `JwtTokenTypeEnum.PLAYGROUND`. `PlaygroundTokenJwtPayload =
Omit<AccessTokenJwtPayload, 'type' | impersonation fields>` so any
future ACCESS claim flows through automatically.
- `AccessTokenService.generatePlaygroundToken` signs an access-shaped
JWT with `type: PLAYGROUND` and a configurable short TTL. A shared
private `resolveTokenSubject` helper parallelizes the user / workspace /
userWorkspace lookups for both generators.
- `JwtAuthStrategy.validateAccessToken` widened to accept
`AccessTokenJwtPayload | PlaygroundTokenJwtPayload`; impersonation gated
on `payload.type === ACCESS` so the union narrows without `as unknown
as` casts. The two branches in `validate()` collapse into one.
- New `PLAYGROUND_TOKEN_EXPIRES_IN` config var (default `2h`).
- New `generatePlaygroundToken` mutation (`WorkspaceAuthGuard`, no args,
returns `AuthToken`).
- Frontend `useOpenPlayground` hook centralizes mint → atom write →
navigate, with Apollo `onError` snackbar and a "use cached PLAYGROUND
token if still fresh" short-circuit (decodes via `jwt-decode`, checks
both `type` AND `exp`). Old API_KEY tokens left in localStorage from the
prior paste-form flow are rejected on `type` alone and force a re-mint —
this is what was causing the "This API Key is revoked" symptom on stale
browsers.

### Drive-by cleanups
- `PlaygroundToken` DTO removed (identical shape to `AuthToken` already
in use).
- 5 `customize-sidebar.webm` imports and the dead placeholder pipeline
removed.

## Test plan

### Discovery hero
- [ ] `/settings/layout`, `/settings/data-model`,
`/settings/applications`, `/settings/ai`, `/settings/api-webhooks`,
`/settings/members` each render the discovery hero card with its
illustration + play button + tabbed modal
- [ ] Modal tabs show the correct Vimeo embed URL per tab; aspect ratio
stays at 1440/900; no parallel border-bottom jog at the tab baseline
- [ ] AI Overview tab shows Smart/Fast model pickers + stats grid + MCP
signpost card; the MCP card lands on `/settings/api-webhooks#mcp` with
the MCP tab active

### API playground (ephemeral token)
- [ ] With an empty `playgroundApiKeyState` in localStorage, clicking
REST or GraphQL playground card opens the playground and the cached
token has `type: "PLAYGROUND"` with ~2h exp
- [ ] Clicking the card again within the freshness window does **not**
re-mint (`iat` / fingerprint stable across visits)
- [ ] Planting a fake API_KEY-shaped JWT in localStorage and clicking
the card forces a fresh mint (old token rejected on `type`)
- [ ] `GET /rest/companies?limit=1` with the cached token returns 200 +
real data
- [ ] `POST /graphql { __typename }` returns 200

### Settings shell
- [ ] Settings nav matches main app drawer padding; sections collapse;
Exit Settings button aligns with the workspace links above
- [ ] Active nav items have a right-gap (cleaner active state)
- [ ] Content area capped at 880px

### Verify
- [ ] `npx nx typecheck twenty-front` passes
- [ ] `npx nx typecheck twenty-server` passes
- [ ] `npx nx lint:diff-with-main twenty-front` passes
- [ ] `npx nx lint:diff-with-main twenty-server` passes
2026-06-01 14:16:02 +02:00
nitin e430e4ea0a fix(ai): route xAI search through Responses API as native tools (#21037)
xAI deprecated Live Search, so the `searchParameters` provider option
now returns 410. This routes all xAI models through the Responses API
and binds web/X search as native agent tools, matching how
Anthropic/OpenAI expose search.

- xAI provider now uses `provider.responses()` — its
`webSearch()`/`xSearch()` tools only run against the Responses endpoint,
not chat completions
- web/X search migrated from the `provider-option` variant to `sdk-tool`
(`web_search`/`x_search`); deleted the dead `searchParameters` path, the
`provider-option` variant, and `providerOptions` on `NativeModelBinding`
- dropped a dead `rolePermissionConfig` param on `getAgentRoleId`, left
over from #20331

---------

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Félix Malfait <FelixMalfait@users.noreply.github.com>
2026-05-31 15:11:04 +02:00
github-actions[bot] 3041ed3b6e chore: sync AI model catalog from models.dev (#21041)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-29 09:12:25 +02:00
nitin 996cdaf3ff refactor(agents): split tool resolution into native and action rails (#20331)
## Summary

Splits AI agent tool resolution into two independent rails:

- **Native tools** — capabilities baked into the model SDK
(Anthropic/OpenAI `web_search`, xAI `web`/`x` provider options). Bound
by `NativeToolBinderService`, controlled by per-agent
`modelConfiguration` toggles. Opaque to Twenty — executed on the model
provider's servers.
- **Action tools** — registry-scoped tools from `ToolRegistryService`
(code interpreter, send email, record CRUD, etc.). Permission-gated via
the agent's role. Executed on Twenty's server.

Both rails merge into a single `ToolSet` at call time. When both
surfaces expose a search tool the model picks at runtime — coexistence
is intentional (relevant once Exa returns as an action, see below).

## Notable changes worth calling out

**Contract change: `AgentAsyncExecutorService.executeAgent` no longer
accepts `rolePermissionConfig`.** Workflow agents now scope exclusively
by the agent's own permission-tab role (`unionOf: [agentRoleId]`). The
previous role-merging path (caller role intersected with agent role) is
removed. No agent role → no registry tools (fail-closed by design).

**`NativeToolBinderService` relocated** from
`core-modules/tool-provider/native/` →
`metadata-modules/ai/ai-models/services/`. The binder needs SDK-package
knowledge, which lives in `ai-models`. Old location created a backwards
module dependency.

**`NATIVE_MODEL_TOOLS_BY_SDK_PACKAGE` is exhaustive over
`AiSdkPackage`** (`Record<>`, not `Partial<Record<>>`). Adding a new SDK
without thinking about native tools now fails the build. SDKs without
native tools (Bedrock, Google, Mistral, Azure, OpenAI-compatible) get
explicit `{}` entries.

**Discriminated union `kind: 'sdk-tool' | 'provider-option'`** lets one
registry describe both function tools (Anthropic/OpenAI) and runtime
sources (xAI). Follows the local `tool-provider` convention from #19321.

## Deferred to follow-ups

- **Exa web search is dropped from this PR** (along with its
`WEB_SEARCH_TOOL` permission flag and the Exa-specific gating). Exa
comes back as an **action/app tool** once apps can define permission
flags through the SDK — ongoing work in #20481.
- **xAI native search currently errors.** xAI deprecated its Live Search
API (the `web`/`x` provider-option sources this rail maps to), so xAI
returns `410` when native search is actually exercised. The code path
itself is clear — it's only hit if you test xAI native tools. Fixed
separately alongside the broader xAI model fixes.

## Conscious non-decisions

- **No "twenty-native" category.** `native` is reserved for
model/provider SDK features; everything Twenty-owned is just a
tool/action.
- **Coexistence over precedence.** No rule forcing an action search tool
to override native search (or vice-versa) — when both exist, it's the
user's choice in workflow agents and the model's choice in chat.

---------

Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Co-authored-by: Félix Malfait <felix@twenty.com>
2026-05-28 22:08:05 +02:00
Félix Malfait f4ead89956 refactor(twenty-orm): migrate 23 grandfathered entities to WorkspaceScopedRepository (#20987)
## Summary

Follow-up to #20953. Migrates 23 of the 30 entities that were left in
`WORKSPACE_SCOPED_EXEMPTIONS` last time, so the lint rule's
workspaceId-enforcement default now covers most of the core/metadata
schema.

### Migrated (23 entities, 88 files, 22 commits)

| Family | Entities |
|---|---|
| Trivial caches | `NavigationMenuItem`, `Skill`, `DataSource`,
`Webhook`, `CommandMenuItem`, `IndexMetadata` |
| Views | `View`, `ViewField`, `ViewFieldGroup`, `ViewFilter`,
`ViewFilterGroup`, `ViewGroup`, `ViewSort` |
| Layouts | `PageLayout`, `PageLayoutTab`, `PageLayoutWidget` |
| Roles & permissions | `Role`, `RoleTarget`, `PermissionFlag`,
`ObjectPermission`, `FieldPermission`, `RowLevelPermissionPredicate`,
`RowLevelPermissionPredicateGroup` |

For each entity: swap `@InjectRepository(X)` →
`@InjectWorkspaceScopedRepository(X)` (and the field type →
`WorkspaceScopedRepository<X>`); rewrite every call site to pass
`workspaceId` as the first arg (stripped from `where`/criteria — the
wrapper throws if you include it now); register
`provideWorkspaceScopedRepository(X)` in every owning NestJS module;
update affected spec providers to
`getWorkspaceScopedRepositoryToken(X)`.

### Rule update

- `ApplicationRegistrationVariableEntity` was misclassified — moved to
`STRUCTURAL_EXEMPTIONS` (no `workspaceId` column; it's keyed on
`applicationRegistrationId` at the instance level).
- 22 of the 23 migrated entities removed from
`WORKSPACE_SCOPED_EXEMPTIONS` entirely (zero remaining raw
`@InjectRepository` sites).
- `RoleTargetEntity` also removed; one call site in
`user-workspace.service.ts` keeps a raw injection with an
`eslint-disable` + reason because `softRemove(...)` is not on the
wrapper API yet (the migration would require threading `workspaceId`
through `deleteUserWorkspace`'s three callers).

### Still exempted (7 entities, follow-up PRs)

| Entity | Why deferred |
|---|---|
| `ApplicationEntity` | ~50 sites with several cross-workspace lookups
by id (auth, OAuth, file-storage, cleanup) |
| `CalendarChannelEntity` / `MessageChannelEntity` | Use
`.increment(...)` (not on wrapper) and
`repository.manager.transaction(...)` — wrapper needs to grow
`.increment` + the transaction sites need `withManager` or dual-inject |
| `FieldMetadataEntity` / `ObjectMetadataEntity` | The metadata services
`extends TypeOrmQueryService<X>` and `super(rawRepo)` — requires
dual-inject or reworking the inheritance |
| `KeyValuePairEntity` | Allows `workspaceId: IsNull()` for
instance-level config; wrapper rejects null |
| `UpgradeMigrationEntity` | Same — instance-level + cross-workspace
ledger |

## Test plan

- [x] `npx nx typecheck twenty-server` — clean
- [x] `npx nx lint twenty-server` — clean (0/0)
- [x] All 10 affected unit specs pass (115 tests) — api-key, agent-role,
permissions, workspace-roles-permissions-cache, view-filter-group,
workflow-version-step-operations, two-factor-authentication (service +
resolver), user-workspace, file
- [ ] Server integration tests in CI
2026-05-28 20:46:21 +02:00
Félix Malfait 865ca697ca Fix AI permission gating: use Ask AI for chat UI, AI Settings for admin endpoints (#21030)
## Summary

Closes #20662.

Two AI permission flags exist:
- **`AI`** (label "Ask AI") — user-facing: chat with AI agents, use AI
features
- **`AI_SETTINGS`** (label "AI") — admin: create and configure AI agents

After auditing every use of these flags I found:

### Frontend — chat UI gated by the admin permission (user-facing bug
from the issue)
A user granted only `Ask AI` could not see chat tabs, the "new chat"
button (desktop & mobile), or the chat content pane; thread
initialization was also skipped, leaving the chat in a half-initialized
state and producing intermittent `THREAD_NOT_FOUND` errors. Switched
these to `AI`:
- `MainNavigationDrawerTabsRow.tsx`
- `MainNavigationDrawer.tsx`
- `MobileNavigationBar.tsx`
- `AgentChatThreadInitializationEffect.tsx`

### Backend — admin-only resolvers gated by the user permission
(privilege escalation)
Two resolvers had a class-level guard of `AI`, letting any user with the
user-facing flag reach admin endpoints (skill CRUD, eval runs). Switched
the class-level guards to `AI_SETTINGS`:
- `SkillResolver` — create/update/delete/activate/deactivate skills
- `AgentTurnResolver` — read turns, run/grade evaluations

### Left as-is (already correct)
- `AgentResolver` — class-level `AI` for reads (workflow editors and
admin pages both need them), mutation-level `AI_SETTINGS` overrides for
writes
- `AgentChatResolver` & `AgentChatSubscriptionResolver` — already `AI`
- `AiGenerateTextController` — already `AI`
- Workspace AI config fields in `workspace.service.ts` — already
`AI_SETTINGS`

## Test plan

- [ ] As a user with `Ask AI` only (no `AI_SETTINGS`): chat tabs, "new
chat" button, and chat history pane are visible on desktop + mobile;
sending a message works; no `THREAD_NOT_FOUND` errors
- [ ] As a user with `AI_SETTINGS` but no `Ask AI`: chat UI is hidden
- [ ] As a user with `Ask AI` only: calling `skills` / `createSkill` /
`agentTurns` / `runEvaluationInput` via GraphQL returns permission
denied
- [ ] As an admin (`AI_SETTINGS`): skill settings and agent eval pages
still work
2026-05-28 20:21:58 +02:00
Félix Malfait 4797d2f270 feat(twenty-orm): introduce WorkspaceScopedRepository for core/metadata workspace-scoped entities (#20953)
## Summary

Adds a third tenancy enforcement layer for entities that live in shared
schemas (`core`, `metadata`) and carry a `workspaceId` column —
previously the only safeguard at this layer was developer discipline
(remembering to put `workspaceId` in every WHERE clause).

### The three layers, after this PR

| Layer | Scope | How it's enforced |
|---|---|---|
| 1. Workspace data | per-workspace schema (companies, people, custom
objects) | `twentyORMManager.getRepository(workspace, E)` — physical
isolation (own data source) |
| 2. Metadata | shared `metadata` schema (objectMetadata, fieldMetadata,
views, roles…) | Flat-entity-maps cache — workspace-scoped in-memory
map, lookups by id within it |
| 3. Core (new) | shared `core` schema (agent threads/turns/messages,
app tokens, etc.) | `WorkspaceScopedRepository<T>` — `workspaceId` is a
required positional argument on every read/write |

## What's in the PR

### The wrapper
(`packages/twenty-server/src/engine/twenty-orm/workspace-scoped-repository/`)
- `WorkspaceScopedRepository<T extends WorkspaceScopedEntity>` — wraps a
TypeORM `Repository<T>`, requires `workspaceId` on every
`find`/`findOne`/`findOneOrFail`/`update`/`delete`/`softDelete`/`insert`/`save`/`count`
call, merging it into the WHERE or stamping it on the entity.
`createQueryBuilder` is an explicit escape hatch (caller scopes
manually).
- Provided via Nest DI with
`@InjectWorkspaceScopedRepository(EntityClass)` and the
`provideWorkspaceScopedRepository(EntityClass)` provider factory.
- 19 unit tests cover the merge behavior, override-on-conflict, and the
array-where (OR) case.

### Lint enforcement
(`packages/twenty-oxlint-rules/rules/prefer-workspace-scoped-repository.ts`)
- New `twenty/prefer-workspace-scoped-repository` rule (level:
**error**).
- Blacklist of entity names: raw `@InjectRepository(E)` is rejected if
`E` is on the list.
- Initial list: `AgentTurnEntity`, `AgentMessageEntity`,
`AgentMessagePartEntity`, `AgentChatThreadEntity`,
`AgentTurnEvaluationEntity`, `AgentEntity`.
- Designed to grow over time as more consumers are migrated.
- 5 rule tests.

### Migration in this PR
All consumers of the six blacklisted entities, including:
- AI agent / chat / monitor resolvers, services, and jobs
- `AgentService`, `AiAgentRoleService`, `AiAgentWorkflowAction`,
`ApplicationService`, `WorkspaceFlatAgentMapCacheService`
- Admin-panel chat (migrated where the lookup is workspace-known; one
documented `eslint-disable` on the threadId-discovery lookup that
necessarily precedes the `allowImpersonation` permission check)
- `AiAgentRoleService` unit spec updated to mock the scoped wrapper

## Future work (deliberately not in this PR)

A standalone audit identified ~14 additional `core`/`metadata` entities
with `workspaceId` that currently use raw `@InjectRepository` and could
be added to the blacklist. Notable candidates: `UserWorkspaceEntity` (42
sites), `AppTokenEntity` (10), `FileEntity` (7),
`BillingCustomerEntity`/`BillingSubscriptionEntity` (~22 combined). Each
should be its own PR — the migration is mechanical but the surface is
wide.

## Test plan
- [x] `npx nx typecheck twenty-server` — clean
- [x] `npx nx lint twenty-server` — 0 warnings, 0 errors
- [x] `npx jest workspace-scoped-repository` — 19/19 pass
- [x] `npx nx test twenty-oxlint-rules` — 215/215 pass
- [x] `npx jest src/engine/metadata-modules/ai` — 44/44 pass
- [ ] Manual smoke: end-to-end AI agent chat send/receive (reviewer)
- [ ] Manual smoke: AI agent monitor — list turns, run evaluation
(reviewer)
- [ ] Manual smoke: admin-panel chat thread inspection (reviewer)
2026-05-27 18:52:53 +02:00
github-actions[bot] 34db7ac8b4 chore: sync AI model catalog from models.dev (#20948)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-27 09:19:32 +02:00
Etienne 4a82cddad6 remove ai-model-preferences var env and config (#20859)
Split the single AI_MODEL_PREFERENCES JSON config into 4 array configs
and migrates existing workspace data.
2026-05-27 06:47:47 +00:00
Etienne eda41b4eba feat(ai) - add observability (#20850)
**AI Chat - Tool Executions (counters, tagged with model)**
ai-chat/tool-execution-succeeded: number of tool calls invoked by the AI
that completed without error
ai-chat/tool-execution-failed: number of tool calls invoked by the AI
that threw an error
**AI Chat - Token Usage (counters, tagged with model)**
ai-chat/input-tokens: total input tokens sent to the model across all
turns
ai-chat/output-tokens: total output tokens generated by the model
ai-chat/cache-read-tokens: input tokens served from the model's prompt
cache (cheaper)
ai-chat/cache-write-tokens: input tokens written into the prompt cache
for future reuse
**AI Chat - Latency (histograms in ms, tagged with model)**
ai-chat/turn-latency-ms: total duration of a full chat turn (from stream
start to stream end)
ai-chat/step-latency-ms: duration of a single reasoning/tool-call step
within a turn
ai-chat/ttft-ms: time-to-first-token, i.e. how long until the model
starts streaming output
**MCP - Tool Executions (counters)**
mcp/tool-execution-succeeded: number of MCP tool calls that completed
successfully
mcp/tool-execution-failed: number of MCP tool calls that threw an error
2026-05-22 15:32:51 +00:00
Félix Malfait de044f4b45 feat(ai-chat): add navigation menu item + webhook tool providers (#20759)
## Summary

Exposes two Twenty primitives to the AI chat that it could not
previously manage:

- **Navigation menu items** — workspace nav and personal favorites
(favorites are just nav items with `scope: 'user'`).
- **Webhooks** — full CRUD with a structured operations input (record +
metadata events).

Page layouts and workflow runs were originally in this PR but have been
split out — they touch heavier surfaces (21 widget configurations and
the workflow runner cycle, respectively) and deserve their own focused
PRs.

### Tool inventory (8 new tools across 2 providers)

| Provider | Tools |
|---|---|
| NavigationMenuItem | `list_`, `create_`, `update_`,
`delete_navigation_menu_item` |
| Webhook | `list_`, `create_`, `update_`, `delete_webhook` |

### Design notes

- Both providers follow the established **view-style pattern**: tool
workspace service lives in the entity module's `tools/` folder, is
provided + exported by the entity module, and `ToolProviderModule`
imports the entity module. No `@Global()` modules or injection tokens
introduced.
- `create_navigation_menu_item` uses a Zod `discriminatedUnion` on
`type` (`FOLDER` / `LINK` / `OBJECT` / `VIEW` / `RECORD` /
`PAGE_LAYOUT`). `scope: 'workspace' | 'user'` switches between shared
nav and personal favorites — the underlying
`NavigationMenuItemAccessService` enforces LAYOUTS for workspace writes.
- Webhook operations accept both record events (`{kind:'record', object,
event}` → `<object>.<event>`) and metadata events (`{kind:'metadata',
metadataName, operation}` → `metadata.<metadataName>.<operation>`).
- Permissions reuse existing flags (`LAYOUTS`, `API_KEYS_AND_WEBHOOKS`).
No new permission flags, no migrations.

### Category cleanup

- New: `ToolCategory.NAVIGATION_MENU_ITEM`, `ToolCategory.WEBHOOK`.
- `ToolCategory.VIEW_FIELD` → folded into `VIEW`. Same permission gate,
same domain — separate category was organizational drift.
- `navigate_app` action stays in `ToolCategory.ACTION` where it belongs.

### System prompt addition


[chat-system-prompts.const.ts](packages/twenty-server/src/engine/metadata-modules/ai/ai-chat/constants/chat-system-prompts.const.ts)
now teaches the AI:
- Favorites are nav items with `scope: 'user'`.
- A default OBJECT nav item is auto-created with
`create_object_metadata` — don't double-create.

### One file = one export

Every new schema / type / util file has exactly one top-level export.

## Test plan

- [ ] `npx nx typecheck twenty-server` — passes
- [ ] Spin up locally and exercise via AI chat:
- [ ] "Pin the Companies view to my favorites in a folder called
Important." → `create_navigation_menu_item` (FOLDER, user) then (VIEW,
user, folderId)
- [ ] "Register a webhook to https://example.com firing when any person
is created or updated." → `create_webhook` with discriminated operations
- [ ] Verify workspace-scoped nav writes are denied for a user without
LAYOUTS permission
- [ ] Verify user-scoped nav writes work without LAYOUTS permission

## Follow-ups (separate PRs)

- Page layout tools (record-page, record-index, standalone) — needs
widget-config strategy.
- Workflow run tools (list, get, run, stop) — uses the workflow-runner
cycle path.
- Dashboard / page-layout tool unification —
`DashboardToolWorkspaceService` and a future
`PageLayoutToolWorkspaceService` both inject the same trio
(PageLayout/Tab/Widget services).
- Webhook Settings page reads from raw Apollo query — switch to the
metadata store so it refreshes when the AI mutates webhooks.
2026-05-22 17:27:06 +02:00
github-actions[bot] 9b05e7fff4 chore: sync AI model catalog from models.dev (#20830)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-22 09:06:07 +02:00
Etienne 2fcf3e3c2b fix(ai-chat) - fix browser context injection (#20809)
Move the browsing context out of the system prompt and injecting it
directly into the last user message instead.
Previously (before this PR), browsing context change, update system
prompt then break whole conversation history ... and caching. Now,
browsing context is sent with last message only if changed.

"Benchmark" this PR vs main : 
- same conv with 3-4 turns - 60% -> 85% cache ratio || 0.31 credits ->
0.13
2026-05-21 15:55:07 +00:00
github-actions[bot] 1ed347bc17 chore: sync AI model catalog from models.dev (#20791)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-21 09:14:02 +02:00
Etienne 4c4dc4cb21 fix(ai-chat)-preference models import (#20776) 2026-05-20 15:20:09 +00:00
Weiko 6e5e7963b5 fix(server): map PermissionsException to proper HTTP status on REST API (#20739)
## Summary

`PermissionsException` thrown by `SettingsPermissionGuard` (and other
permission code paths) was bubbling up through every typed REST
exception filter and landing in the global `UnhandledExceptionFilter`,
which falls back to **500** for anything that isn't an `HttpException`.
So a forbidden user (e.g. an API key whose role doesn't have
`DATA_MODEL`) calling `GET /rest/metadata/objects` got:
```
HTTP/1.1 500 Internal Server Error "Entity performing the request does not have permission"
```


GraphQL already had the right plumbing via
`permissionGraphqlApiExceptionHandler` (`ForbiddenError` → 403,
`UserInputError` → 400, `NotFoundError` → 404). This PR mirrors it on
the REST side.

## What

- New util `permissionRestApiExceptionCodeToHttpStatus` mapping every
`PermissionsExceptionCode` → HTTP status, with `assertUnreachable` to
force explicit handling of future codes.
- New filter `PermissionsRestApiExceptionFilter`
(`@Catch(PermissionsException)`) that delegates to
`HttpExceptionHandlerService.handleError(...)` with the resolved status.
- Wired `PermissionsRestApiExceptionFilter` (placed first, so the typed
filter wins over any sibling catch-all) into `@UseFilters(...)` of every
REST controller that uses `SettingsPermissionGuard` or whose service can
throw `PermissionsException`:
  - `object-metadata`, `field-metadata`, `webhook`, `api-key`
- `view`, `view-sort`, `view-group`, `view-filter`, `view-filter-group`,
`view-field`
  - `page-layout`, `page-layout-widget`, `page-layout-tab`
  - `front-component`, `ai-generate-text`
- Unit tests covering 403 / 400 / 404 / 500 mappings.

## Mapping

| Code | Status |
|------|--------|
| `PERMISSION_DENIED`, `NO_AUTHENTICATION_CONTEXT`,
`ROLE_LABEL_ALREADY_EXISTS`, `CANNOT_UNASSIGN_LAST_ADMIN`,
`CANNOT_UPDATE_SELF_ROLE`, `CANNOT_DELETE_LAST_ADMIN_USER`,
`ROLE_NOT_EDITABLE`, `CANNOT_ADD_OBJECT_PERMISSION_ON_SYSTEM_OBJECT`,
`CANNOT_ADD_FIELD_PERMISSION_ON_SYSTEM_OBJECT` | **403** |
| `INVALID_ARG`, `INVALID_SETTING`,
`CANNOT_GIVE_WRITING_PERMISSION_ON_NON_READABLE_OBJECT`,
`CANNOT_GIVE_WRITING_PERMISSION_WITHOUT_READING_PERMISSION`,
`ONLY_FIELD_RESTRICTION_ALLOWED`,
`FIELD_RESTRICTION_ONLY_ALLOWED_ON_READABLE_OBJECT`,
`FIELD_RESTRICTION_ON_UPDATE_ONLY_ALLOWED_ON_UPDATABLE_OBJECT`,
`EMPTY_FIELD_PERMISSION_NOT_ALLOWED`,
`ROLE_MUST_HAVE_AT_LEAST_ONE_TARGET`, `ROLE_CANNOT_BE_ASSIGNED_TO_USERS`
| **400** |
| `ROLE_NOT_FOUND`, `OBJECT_METADATA_NOT_FOUND`,
`FIELD_METADATA_NOT_FOUND`, `FIELD_PERMISSION_NOT_FOUND`,
`PERMISSION_NOT_FOUND` | **404** |
| All remaining "internal" codes (rethrown as-is in GraphQL) | **500** |

## Before
<img width="507" height="216" alt="Screenshot 2026-05-19 at 19 26 07"
src="https://github.com/user-attachments/assets/21d633aa-7ee8-4923-94e4-7ad57258a29e"
/>

## After
<img width="610" height="385" alt="Screenshot 2026-05-19 at 19 26 01"
src="https://github.com/user-attachments/assets/0103b7ee-7df7-4aef-999a-73c22901afd2"
/>
2026-05-20 13:02:58 +00:00
Etienne 8d81496625 fix(ai-chat) - fixes on cost display (#20750)
- total cost conversion
- update metrics at message end
2026-05-20 08:50:23 +00:00
github-actions[bot] e494bc7006 chore: sync AI model catalog from models.dev (#20751)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-20 09:06:14 +02:00
Etienne 827f24df2b fix(ai) - add ai model preferences fallback (#20704)
**Problem** 
AI_MODEL_PREFERENCES, JSON env var is not supported +
IS_CONFIG_VARIABLES_IN_DB_ENABLED=false in twenty cloud server
-> No option to set AI_MODEL_PREFERENCES

**Solution** 
AI_MODEL_PREFERENCES supports three override sources beyond the
hardcoded code defaults, in priority order:

- DB (IS_CONFIG_VARIABLES_IN_DB_ENABLED=true), the only writable source;
admin-panel mutations persist here
- ENV not usable in Twenty Cloud, which does not handle JSON-format env
vars
- **Introduced in this PR** --> File
(AI_MODEL_PREFERENCES_STORAGE_PATH), a read-only startup fallback, the
only viable override in Cloud/self-managed deployments where DB config
is disabled and JSON env vars are unsupported.
2026-05-19 13:19:24 +00:00
Etienne 89579f5225 fix(ai-chat) - upload files (#20681)
closes https://github.com/twentyhq/twenty/issues/20437

bonus : persist file filename for UI display
2026-05-18 15:50:02 +00:00
github-actions[bot] 62b347fc74 chore: sync AI model catalog from models.dev (#20620)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-16 08:45:07 +02:00
github-actions[bot] dd9027680e chore: sync AI model catalog from models.dev (#20601)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-15 09:00:29 +02:00
Etienne aecfe699f4 feat(ai-chat) - Stop ai thinking if credits exhausted (#20526)
Billing is now decremented per-step, not per-turn. The onStepFinish
callback in chat-execution.service.ts calls a new
decrementAndCheckAvailableCredits method on each model step, so Redis is
debited incrementally as the agent runs rather than all at once at the
end.

Credit exhaustion stops the stream mid-run. When a step depletes the
remaining credits, a hasNoMoreAvailableCredits flag is set and passed
into the stopWhen predicate of streamText, causing the agent to halt
before starting the next step.

A new credits-exhausted event is introduced. After the stream drains and
the response is persisted, if credits ran out the job publishes a
dedicated credits-exhausted event to the frontend instead of the normal
message-persisted event.

The frontend handles this new event. useAgentChatSubscription has a new
credits-exhausted case that sets a BILLING_CREDITS_EXHAUSTED-coded error
on the atom, closes the writer, and stops the streaming state —
triggering the existing AiChatCreditsExhaustedMessage UI.
2026-05-13 15:09:08 +00:00
Charles Bochet ac653182b2 feat(server): migrate all remaining JWT token types to ES256 (#20513)
## Summary

Extends the asymmetric signing work from #20467 to cover **every
remaining `JwtTokenTypeEnum` value**: `LOGIN`, `WORKSPACE_AGNOSTIC`,
`FILE`, `API_KEY`, `APPLICATION_ACCESS`, `APPLICATION_REFRESH`,
`APP_OAUTH_STATE`, plus the ACCESS-shaped session token issued by the
code interpreter tool.

After this PR, every JWT the server signs is ES256 with a `kid` pointing
at the current `core."signingKey"` row, while legacy HS256 tokens (no
`kid` header) remain verifiable indefinitely through the existing
fallback in `JwtWrapperService.resolveVerificationKey`. No new entity /
migration / config: this is a pure routing change on top of the
infrastructure that already shipped.

## Why

`#20467` only flipped `ACCESS` and `REFRESH` to ES256. Every other JWT
type was still HS256-signed against the global `APP_SECRET`, which kept
the original blast radius (a leaked `APP_SECRET` invalidates *every* JWT
type forever). Migrating the rest unifies the sign path on rotatable
per-server private keys without forcing any token reissue.

## Mechanical changes

### Sign side (8 services)
- `LoginTokenService.generateLoginToken`
- `TransientTokenService.generateTransientToken`
- `WorkspaceAgnosticTokenService.generateWorkspaceAgnosticToken`
- `ApplicationTokenService.signApplicationToken` (`APPLICATION_ACCESS` +
`APPLICATION_REFRESH`)
- `ApiKeyService.generateApiKeyToken`
- `FileUrlService.signFileByIdUrl` / `signWorkspaceLogoUrl`
- `ConnectionProviderOAuthFlowService.signState` (`APP_OAUTH_STATE`)
- `CodeInterpreterTool.generateSessionToken`

Each call site swaps `jwtWrapperService.sign(payload, { secret:
generateAppSecret(...), ... })` for `await
jwtWrapperService.signAsync(payload, { expiresIn, [jwtid] })`. The
`generateAppSecret` calls on the sign side are dropped (verifier-side
`generateAppSecret` stays in `resolveVerificationKey` for the HS256
fallback).

### Verifier side
- `WorkspaceAgnosticTokenService.validateToken` now goes through
`verifyJwtToken` instead of the bespoke `verify({ secret })` path, so
new ES256 tokens are accepted while the legacy HS256 fallback inside
`resolveVerificationKey` still serves the old shape.
- `JwtWrapperService.sign()` is kept (legacy compat / tests) but is now
strictly deprecated — there are no remaining production callers.

### Async ripple (`signFileByIdUrl` was synchronous)
- `FileUrlService.signFileByIdUrl` and `signWorkspaceLogoUrl` are now
`async`; the `signUrl` callback used by `getRecordImageIdentifier` is
widened to accept `Promise<string | null>`.
- Every direct/indirect caller is updated: admin panel (user lookup +
statistics + top workspaces), search service
(`computeSearchObjectResults`, `getImageIdentifierValue`), workspace
resolver (`logo` resolver, public workspace by domain/id),
`WorkspaceMemberTranspiler` (now `async toWorkspaceMemberDto[s]` /
`toDeletedWorkspaceMemberDto[s]` / `generateSignedAvatarUrl`),
`UserService.loadSignedAvatarUrlsByUserId`,
`UserWorkspaceService.castWorkspaceToAvailableWorkspace`,
workspace-invitation, approved-access-domain, agent-chat-streaming,
agent-message-part resolver, navigation-menu-item record identifier,
file-ai-chat / file-core-picture / file-email-attachment / file-workflow
/ files-field services, rich-text & files-field query result getters,
and the code-interpreter tool.

## Backward compatibility

- **Legacy HS256 tokens (no `kid`)** keep verifying via
`resolveVerificationKey` → `extractAppSecretBody` → `generateAppSecret`
for both `workspaceId`-bearing and `userId`-bearing payloads.
- The `API_KEY` HS256-via-ACCESS-secret fallback (#16504) still kicks in
inside `verifyJwtToken` for pre-2025-12-12 API keys.
- No payload shape changes, no DB writes, no env var changes — old
tokens issued by `main` continue to authenticate.

## Tests

### Unit (all green locally — 63/63)
Updated specs for every migrated service to mock `signAsync` instead of
`sign` and assert the new option shape:
- `login-token.service.spec.ts`, `transient-token.service.spec.ts`,
`workspace-agnostic-token.service.spec.ts`,
`application-token.service.spec.ts`, `api-key.service.spec.ts`,
`connection-provider-oauth-flow.service.spec.ts`.

### Integration (`jwt-key-rotation.integration-spec.ts`)
- Existing ACCESS coverage (current key, legacy HS256 fallback,
rotated-out key, revoked key, unknown kid) is preserved.
- New `it.each` assertion: `REFRESH`, `WORKSPACE_AGNOSTIC`, and `LOGIN`
tokens emitted by the real signUp → signUpInNewWorkspace →
getAuthTokensFromLoginToken pipeline are ES256 with a `kid` matching the
current signing key — proves end-to-end that the migration didn't
regress those flows.

## Open question (separate decision)

This PR keeps the legacy HS256 verification fallback **forever**. We may
eventually want to sunset it for `API_KEY` once telemetry shows
pre-migration tokens are gone, but that's a separate product/security
decision and not part of this change.

## Test plan

- [ ] CI green
- [ ] `npx nx lint:diff-with-main twenty-server` passes
- [ ] `npx nx typecheck twenty-server` passes
- [ ] `jwt-key-rotation` integration suite passes (new + existing
assertions)
- [ ] Manually verify: signing in issues an ES256 ACCESS / REFRESH
token, generating an API key issues an ES256 token with `kid`, signed
file URL JWT is ES256 with `kid`
- [ ] Pre-existing HS256 tokens still authenticate (covered by
integration test, but worth a manual check with a token from `main`)
2026-05-13 10:53:45 +00:00
Paul Rastoin a159a68e2c [twenty-server] no floating promises lint rule (#20499)
## Introduction

That's an audit + RFC

## Fire-and-forget (`void`) -- Intentional, correct

These are telemetry, metrics, and audit logging in hot paths or
non-critical contexts. `void` is the right choice.

| File | What was voided |
|---|---|
| `sign-in-up.service.ts` | `metricsService.incrementCounter` (sign-up
metric) + `auditService.insertWorkspaceEvent` (workspace created) |
| `use-graphql-error-handler.hook.ts` | 5x
`metricsService.incrementCounter` (GraphQL operation metrics) |
| `bullmq.driver.ts` | 2x `metricsService.incrementCounter` (job
completed/failed metrics) |
| `call-webhook.job.ts` | 2x `auditService.insertWorkspaceEvent` + 1x
`metricsService.incrementCounter` |
| `custom-domain-manager.service.ts` | `analytics.insertWorkspaceEvent`
(domain activation event) |
| `logic-function-executor.service.ts` |
`auditService.insertWorkspaceEvent` (function execution) |
| `workflow-runner.workspace-service.ts` |
`metricsService.incrementCounter` (throttle metric) |
| `cleaner.workspace-service.ts` | `metricsService.incrementCounter`
(deleted workspace metric) |
| `stream-agent-chat.job.ts` | Detached IIFE for streaming chunks
(intentional concurrent pipeline) |
| `workspace-auth-context.middleware.ts` |
`withWorkspaceAuthContext(...)` (AsyncLocalStorage, returns void anyway)
|

## Top-level script entry points (`void bootstrap()`)

These are module-level calls where the promise has no consumer. `void`
makes the lint rule happy and documents the intent.

| File | What changed |
|---|---|
| `main.ts` | `void bootstrap()` |
| `command.ts` | `void bootstrap()` |
| `queue-worker.ts` | `void bootstrap()` |
| `truncate-db.ts` | `void dropSchemasSequentially()` |
| `codegen/index.ts` | `void generateTests(forceArg)` |

## Now properly awaited -- Real bug fixes

These were floating promises that could silently fail, lose data, or
cause race conditions.

| File | What was fixed |
|---|---|
| `billing-sync-plans-data.command.ts` | `meters.map(async ...)` wrapped
in `Promise.all` -- was returning before upserts finished |
| `cache-storage.service.ts` | `setAdd` and `setPop` had `.then()`
chains that weren't returned/awaited |
| `create-audit-log-from-internal-event.ts` | 4x
`auditService.createObjectEvent` now awaited inside a job |
| `cleaner.workspace-service.ts` | 2x `emailService.send(...)` now
awaited -- emails could silently fail |
| `agent-async-executor.service.ts` | `calculateAndBillUsage` +
`billNativeWebSearchUsage` in `finally` block now awaited |
| `repair-tool-call.util.ts` | `calculateAndBillUsage` now awaited |
| `agent-title-generation.service.ts` | `calculateAndBillUsage` now
awaited |
| `chat-execution.service.ts` | `billNativeWebSearchUsage` now awaited |
| `ai-generate-text.controller.ts` | `calculateAndBillUsage` in
`finally` block now awaited |
| `agent-turn.resolver.ts` | `messageQueueService.add(...)` now awaited
|
| `command.ts` | `app.close()` now awaited (was exiting before graceful
shutdown) |
| `i18n.service.ts` | `loadTranslations()` in `onModuleInit` now awaited
|
| `workspace-query-hook.explorer.ts` | `explore()` in `onModuleInit` now
awaited |
| `message-queue.explorer.ts` | `handleProcessorGroupCollection` in
`onModuleInit` now awaited |
| `ai-billing.service.spec.ts` | Test now properly `await`s the async
call |
| `messaging-messages-import.service.spec.ts` | `expect(...)` now
properly `await`ed for async assertion |
| `archive.finalize()` (3 files) | Voided -- promise resolution already
handled by `pipeline()` / `on('end')` |

## Impersonation & security audit trail -- Upgraded from `void` to
`await`

These were previously fire-and-forget but are
security/compliance-critical events that must be reliably persisted.

| File | What was fixed |
|---|---|
| `impersonation.service.ts` | 4x `auditService.insertWorkspaceEvent`
now awaited (impersonation attempt, token generation
attempt/success/failure) |
| `auth.resolver.ts` | 5x `auditService.insertWorkspaceEvent` now
awaited (impersonation token exchange attempt/success/failure at server
and workspace levels) |
| `auth.service.ts` | 2x `analytics.insertWorkspaceEvent` now awaited
(impersonation attempted/issued) |

## Billing audit -- Upgraded from `void` to `await`

Payment events should be reliably persisted for financial/compliance
reporting.

| File | What was fixed |
|---|---|
| `billing-webhook-invoice.service.ts` |
`auditService.insertWorkspaceEvent(PAYMENT_RECEIVED_EVENT)` now awaited
inside Stripe webhook handler |

## Fire-and-forget with proper error handling -- Upgraded from bare
`void`

These remain non-blocking but now catch and log errors instead of
risking unhandled rejections.

| File | What was fixed |
|---|---|
| `logic-function-executor.service.ts` |
`applicationLogsService.writeLogs` now uses `.catch()` instead of bare
`void` -- user-facing logs should surface errors |

## Systemic infrastructure fixes

| File | What was fixed |
|---|---|
| `metrics.service.ts` | `incrementCounter`: Redis cache write
(`metricsCacheService.updateCounter`) now uses `.catch()` internally
instead of raw `await` -- prevents unhandled rejections across all `void
metricsService.incrementCounter(...)` call sites when Redis is unhealthy
|
| `audit.service.ts` | `preventIfDisabled`: made properly `async` with
`await` and consistent `Promise<{ success: boolean }>` return type.
Removed broken `catch` that returned an `AuditException` as a value
(wrong constructor args, unreachable dead code). Removed unused
`AuditException` import |

## Fixed in this session (beyond original PR)

| File | What changed |
|---|---|
| `telemetry.listener.ts` | Removed misleading `Promise.all` + `void`
combo; replaced with simple `for...of` + `void` |
| `message-queue.explorer.ts` | Changed from `void` to `await` so
startup crashes on registration failure |
2026-05-13 10:08:42 +00:00
github-actions[bot] 38d9eacff8 chore: sync AI model catalog from models.dev (#20523)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-13 08:56:41 +02:00
github-actions[bot] ee8004922e chore: sync AI model catalog from models.dev (#20392)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-08 08:32:12 +02:00
Etienne 9fc5be1c4c Billing - Migrate from Stripe metering (#20298)
**Overall strategy**
**1. Introduce “Billing V2” behind a workspace flag**
Gate the new model with FeatureFlagKey.IS_BILLING_V2_ENABLED so existing
workspaces stay on the old behavior until they’re migrated or explicitly
on V2.

**2. Replace workflow metered SKUs with a resource-credit product**
Conceptually, billable “workflow execution” usage is not the primary
subscription line item anymore. Add a RESOURCE_CREDIT product (and keep
WORKFLOW_NODE_EXECUTION as deprecated for the transition). Usage and
limits are expressed through credit buckets (e.g. price metadata like
credit_amount), so one product can represent pooled credits instead of a
narrow workflow-only meter.

**3. Migrate subscriptions in two layers**
Schema/catalog: persist extra price metadata (instance upgrade) so the
server knows credit amounts and can match Stripe prices to the new
model.
Per workspace: the registered workspace command
upgrade:2-2:migrate-to-billing-v2 finds subscriptions that still have
WORKFLOW_NODE_EXECUTION, swaps those items to the right RESOURCE_CREDIT
prices (using existing Stripe schedule +
BillingSubscriptionUpdateService stack), then treats the workspace as V2
(flag). Workspaces without that legacy item or without a subscription
are skipped.

**4. Unify subscription lifecycle + usage on the server**

**5. Refresh the product surface in Settings**

Test : 

- [x] Subscribe v1 +  Update subscribe + Migrate
- [x]  Subscribe v2 + Update subscribe
2026-05-07 15:42:11 +00:00
Etienne 81f351c90c Ai provider - fix (#20318) 2026-05-07 10:02:54 +02:00
Etienne 91124a3cb8 AI - Add azure foundry provider (#20170)
[Merge this before](https://github.com/twentyhq/twenty-infra/pull/655)

Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
2026-05-04 14:45:06 +00:00
nitin 4f439bbe43 [AI] Prefer batch tools in system prompts (#20173) 2026-05-01 14:55:15 +02:00
github-actions[bot] 4fbd8b207d chore: sync AI model catalog from models.dev (#20178)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-05-01 08:50:48 +02:00
nitin e1828b6f41 [AI] Add thread actions, filters, and archive support (#20068)
## PR Description

### Summary
- Add AI chat thread actions: rename, archive (soft-delete via
`deletedAt`), and hard-delete with confirmation.
- Add chat thread filtering by status (active/archived/all), group-by
mode, and last activity.
- Rework drawer/side-panel thread lists to share thread sections, item
menus, archive icons, and empty-state behavior.
- Extend server chat thread model/API with `deletedAt`, mutations,
broadcasts, and archive-aware stream guards.

### Decisions
- Two-stage lifecycle: Archive sets `deletedAt` (soft); Delete is a
separate action on archived threads that hard-deletes the row. Aligns
with Twenty's soft-delete convention (Felix's suggestion).
- `lastMessageAt` is derived from `MAX(agentMessage.createdAt)` on read,
not stored. List query does inline aggregation for sort; `@ResolveField`
covers single-thread / mutation paths so the schema contract is honest
everywhere. Matches `timeline-messaging.service.ts` precedent and the
existing `totalInputCredits` / `totalOutputCredits` `@ResolveField`
pattern in the same resolver.
- Replaced auto-CRUD `chatThreads` (cursor-paginated Connection) with a
custom `[AgentChatThreadDTO!]` resolver. Frontend metadata-store treats
threads as a flat collection and filters/sorts client-side, so cursor
pagination was performative.
- Sending in an archived chat unarchives it optimistically on the client
and authoritatively on the server.
- Grouping and last-activity filtering use `lastMessageAt ?? updatedAt`
so archive/rename don't bump threads in the list.
- Kept metadata-store core API unchanged; AI chat uses the same local
cast pattern already used by other metadata-store partial updates.


https://github.com/user-attachments/assets/1b179b7b-1a2a-4a7a-aa0a-c88f6f051a87
2026-04-30 15:42:10 +00:00
Félix Malfait 842e679cc6 fix(billing): gate AI credit-cap at entry points instead of workflow executor (#20096)
## Background

The 2026-04-26 incident saw 716M Sonnet 4.6 tokens consumed in a single
trial workspace. Two causes: failed agent executions weren't billed
(addressed by #20065) and the credit-cap gate had been removed from
`WorkflowExecutorWorkspaceService.executeStep` in #19904, leaving no
enforcement point at all.

## Why not just revert #19904

#19904 was right that gating at the workflow executor is too coarse.
When one user exhausted a workspace's credits via chat, *all* workflows
hard-failed mid-run — including cheap DB/CRUD/branch automations costing
essentially nothing. Reverting would re-introduce that cliff.

## New design: gate at the AI entry points

The chat resolver already gates this way
(`agent-chat.resolver.ts:137-148`). This PR replicates the same pattern
at every other point where the workspace can incur real AI cost:

- `executeAgent` in `agent-async-executor.service.ts`
- the REST handler in `ai-generate-text.controller.ts`
- `generateThreadTitle` in `agent-title-generation.service.ts`

In each, after auth/validation: skip if `IS_BILLING_ENABLED` is false;
otherwise call `BillingService.canBillMeteredProduct(workspaceId,
BillingProductKey.WORKFLOW_NODE_EXECUTION)`; on `false`, throw
`BillingException(BILLING_CREDITS_EXHAUSTED)`. No new method, no new
exception code, no new product key.

This matches industry convention (Lovable/Replit also gate at the
expensive-operation boundary, not at every cheap step).

## Deliberately not gated

- `WorkflowExecutorWorkspaceService.executeStep` — the design choice is
now intentional, so the #19904 TODO is replaced by a one-line
absolute-behavior comment explaining why the gate isn't here. Cheap
workflow steps (DB CRUD, branching, action steps) are not gated, so a
chat-driven cap exhaustion does not block non-AI automations.
- `repair-tool-call.util` — repair is a sub-call inside an already-gated
AI flow. If the parent is gated, repair will naturally not run. Adding a
gate here adds complexity without value.

## Net effect

A workspace that exhausts credits via chat or AI agent stops making AI
calls. Its non-AI workflows continue running normally. A workflow with
both AI and non-AI steps fails at the AI step with
`BILLING_CREDITS_EXHAUSTED`, but downstream non-AI steps that don't
depend on the AI output still run.

## Conflicts

This PR overlaps with three other in-flight PRs in the same files. None
of them touch the gate logic; rebasing on top of any of them is trivial:

- #20065 (agent-async-executor): adds `workspaceId` to `executeAgent`
args and bills in `finally`. The gate at the top of `executeAgent` from
this PR sits naturally above that.
- #20066 (REST controller): adds usage billing to the controller.
- #20067 (title gen): adds usage billing to title generation and
tool-call repair.

Recommend landing #20065/#20066/#20067 first; this PR rebases trivially
on top.

## Tests

Out of scope per the PR series convention. The existing chat-resolver
gate isn't unit-tested either; this PR follows the same precedent.
Follow-up: add integration coverage that exercises a workspace at
`hasReachedCurrentPeriodCap=true` against each of the three new gates
plus the pre-existing chat-resolver gate.

## Future follow-ups

- Per-user soft cap inside a workspace (the Lovable Business-tier
pattern), so one user can't exhaust the workspace's cap.
- Pre-flight cost estimate so the user sees an "approaching cap" warning
before the hard stop.
- Rename `BillingProductKey.WORKFLOW_NODE_EXECUTION` — the name predates
this design choice and is misleading now that it gates AI entry points
rather than workflow nodes.

## Test plan

- [ ] Trigger a workspace into `hasReachedCurrentPeriodCap=true`.
- [ ] Send a chat message — expect failure with
`BILLING_CREDITS_EXHAUSTED`.
- [ ] Run a workflow whose only AI step is an `ai-agent` action — expect
that step to fail with `BILLING_CREDITS_EXHAUSTED`, downstream non-AI
steps still run.
- [ ] POST to `/rest/ai/generate-text` — expect
`BILLING_CREDITS_EXHAUSTED`.
- [ ] Create a new chat thread (which kicks off `generateThreadTitle`) —
expect `BILLING_CREDITS_EXHAUSTED`.
- [ ] Run a workflow with no AI step (only DB CRUD/branching/actions) —
expect it to run unaffected.

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-29 18:48:06 +02:00
Etienne fd6d5f895d Ai Chat - Caching optim (#20126)
EDIT : 
- solving auto-caching from Anthropic by updating ai-sdk/anthropic +
adding providerOption at stream level
- concerning Bedrock, it needs breakpoint


**1. Breakpoints were only on the system prompt**

The code already placed a cache marker on the system prompt (~10K
tokens). But the conversation history — which can grow to hundreds of
thousands of tokens — had no marker, so Anthropic re-read it at full
price on every turn.

The fix adds a prepareStep hook inside streamText that stamps the last
message with a cache breakpoint before every LLM call. Anthropic then
caches the entire conversation prefix, and subsequent turns read it at
$0.30/M instead of $3/M.

prepareStep is used rather than a one-shot pre-processing step because
an agentic turn makes multiple internal LLM calls as tool results
accumulate — the hook refreshes the breakpoint before each one.

**2. Bedrock was using the wrong field**

The system prompt marker for Bedrock was set as cacheControl: { type:
'ephemeral' } — which is the Anthropic wire format. The Bedrock Converse
API expects cachePoint: { type: 'default' }. The system prompt was
silently not being cached on Bedrock at all.

Both the system prompt and the new prepareStep now go through a shared
getCacheProviderOptions helper that returns the correct field per
provider.

**3. Persisted cached token usage to monitor cache strat. efficiency**
2026-04-29 14:42:12 +00:00
nitin 480e5796ec fix(ai): render record links inside markdown headings in AI chat (#20074)
## Summary

Adds `h1`–`h6` component overrides to `LazyMarkdownRenderer` so that
`[[record:...]]` references placed inside markdown headings in the AI
chat are parsed by `processChildrenForRecordLinks` and rendered as
clickable `RecordLink` chips, matching the behavior already in place for
`p`, `li`, `td`, `th`, and `a`.

Fixes #20072

## Test plan

- [ ] In AI chat, ask a question whose answer places a record reference
inside a markdown heading (e.g. `## Found [[person:uuid:John Doe]]`) and
confirm a clickable `RecordLink` chip renders instead of the raw
`[[...]]` text.
- [ ] Verify heading styling (sizes, weights, margins) is unchanged.

Generated with [Claude Code](https://claude.ai/code)

---------

Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: nitin <ehconitin@users.noreply.github.com>
2026-04-29 13:50:32 +02:00
github-actions[bot] c476c6c80b chore: sync AI model catalog from models.dev (#20122)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-04-29 08:45:09 +02:00
Etienne fbaea0639a Billing - optimize usageEvent CH table (#20019)
- Update usageEvent clickhouse table, partitioning, indexing and
projection (auto materialized view) to optimize credit usage queries
- Add caching for available credits and billing subscription


To do in next PR: deprecate enforceCapUsage cron. Bonus : real-time on
billingSubscription
2026-04-28 14:06:49 +00:00
Félix Malfait df3e217d64 fix(ai-billing): bill executeAgent in a finally block so failed runs don't leak (#20065)
## Summary

`AgentAsyncExecutorService.executeAgent` consumes Anthropic tokens at
two points (the main `generateText` and the optional structured-output
sub-call). Billing was previously the **caller's** responsibility,
executed only after `executeAgent` returned. If `executeAgent` threw —
e.g. when `structuredResult.output == null` for a schema-mismatched
response, or anything caught by the catch-and-rethrow — we paid
Anthropic but never recorded a `usageEvent`. Likely the dominant source
of the 716M-token-vs-3.27-credits discrepancy seen on the affected
workspace in the 2026-04-26 incident.

## What changed

- Inject `AiBillingService` into `AgentAsyncExecutorService`. Add
`workspaceId` (required), `userWorkspaceId`, and `operationType`
(default `AI_WORKFLOW_TOKEN`) to `executeAgent`'s args.
- Capture `accumulatedUsage`, `cacheCreationTokens`, and
`nativeWebSearchCallCount` into mutable locals as each `generateText`
resolves. A throw between the main and structured-output calls still
bills the first call's tokens; the schema-validation throw still bills
the merged usage.
- Wrap the body in `try { ... } finally { ... }`. The finally calls
`calculateAndBillUsage` and `billNativeWebSearchUsage`, each guarded by
its own `try/catch + logger.error` so a billing exception can't mask the
original execution error or block the second emit.
- `ai-agent.workflow-action.ts`: pass the new args; drop the
now-redundant billing calls and `AiBillingService` injection.
`AiBillingModule` removed from this action's module imports.
- `run-evaluation-input.job.ts`: pass `workspaceId` (already in `data`)
and `userWorkspaceId: null`. **As a side effect, the eval pipeline now
bills correctly** — closing an additional billing leak from the audit
(`RunEvaluationInputJob` previously called `executeAgent` and discarded
`executionResult.usage`).

## Behavior change worth calling out

Previously, failed agent executions were silently free. They will now be
billed for the tokens Anthropic charged us. This is intentional and
correct.

## Test plan
- [ ] Trigger a workflow agent action that succeeds — `usageEvent` count
should match what was previously emitted.
- [ ] Trigger a workflow agent with a JSON response schema and ambiguous
input that produces a non-schema-conforming output
(`structuredResult.output == null`) — verify a `usageEvent` row is now
written for the consumed tokens (was 0 rows previously).
- [ ] Trigger a `runEvaluationInput` GraphQL mutation — verify a
`usageEvent` row is written (was 0 rows previously).

## Notes for review
- Conflicts trivially with the Sentry-context PR on
`run-evaluation-input.job.ts`. Recommend merging Sentry-context first;
this PR's 2-line argument addition rebases inside that PR's
`aiCallContextService.run(...)` callback wrapper.
- A small follow-up after this lands: thread `billingContext` through
the `experimental_repairToolCall` callback in
`agent-async-executor.service.ts:198` (currently marked with a TODO from
the title-gen+repair-tool PR).

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

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-28 10:43:53 +02:00
github-actions[bot] 1c06506256 chore: sync AI model catalog from models.dev (#20106)
Automated daily sync of `ai-providers.json` from
[models.dev](https://models.dev).

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

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

Co-authored-by: FelixMalfait <6399865+FelixMalfait@users.noreply.github.com>
2026-04-28 08:49:33 +02:00
Félix Malfait e632b7dbb9 fix(ai-billing): bill POST /rest/ai/generate-text usage to ClickHouse (#20066)
## Summary

`POST /rest/ai/generate-text` calls `generateText` and returns `usage`
to the client without emitting a `usageEvent`. Authenticated, gated only
by `PermissionFlagType.AI` — any workspace user with that permission
could call it in a loop without billing. Identified during the
2026-04-26 incident audit.

## What changed

- Inject `AiBillingService` into `AiGenerateTextController`.
- Add `@AuthUserWorkspaceId() userWorkspaceId: string` to source the
user-workspace identifier.
- Wrap the `generateText` call in `try { ... return ... } finally { ...
}` so billing fires even if the controller throws after Anthropic was
paid.
- Bill with `UsageOperationType.AI_WORKFLOW_TOKEN` and
`cacheCreationTokens: result.usage.inputTokenDetails?.cacheWriteTokens
?? 0`.
- Inner `try/catch` around the billing emit so a billing error can't
break the response.
- One-line module change: `AiGenerateTextModule` imports
`AiBillingModule` (NestJS DI requirement).

## Test plan
- [ ] Call `POST /rest/ai/generate-text` with a small prompt; verify a
`usageEvent` row appears in ClickHouse for the workspace with the
correct token count and `operationType = AI_WORKFLOW_TOKEN`.
- [ ] Call with a malformed model id that throws after the API key is
validated — verify no spurious billing call occurs (no Anthropic call
was made).

## Notes for review
- Response shape unchanged.

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

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
2026-04-27 21:16:19 +02:00
Félix Malfait 5b3ee3f1a7 fix(ai-billing): bill thread title generation and tool-call repair (#20067)
## Summary

Two `generateText` call sites were unbilled — identified during the
2026-04-26 incident audit:

- **Thread title generation**
(`AgentTitleGenerationService.generateThreadTitle`) — fires once per new
chat thread; low-volume but completeness matters.
- **Tool-call repair** (`repairToolCall` util, used inside
`experimental_repairToolCall` callbacks) — can fire `MAX_STEPS` times
per agent turn if a model gets stuck producing malformed tool calls.

## What changed

- `AgentTitleGenerationService` — inject `AiBillingService`, expand
`generateThreadTitle` signature to accept `workspaceId` and
`userWorkspaceId`, bill in a `finally` block with
`UsageOperationType.AI_CHAT_TOKEN`. Restructured so the no-default-model
short-circuit happens before the `try`, avoiding a fake billing call.
- `repair-tool-call.util.ts` — added an optional `billingContext` arg
containing `aiBillingService`, `modelId`, `workspaceId`,
`userWorkspaceId`, `operationType`. Wraps the `generateText` call in
`try/finally`; bills in finally with the operation type provided by the
caller. Optional so existing callers keep compiling.
- `chat-execution.service.ts` — threads `billingContext`
(`AI_CHAT_TOKEN`) into the repair callback.
- `agent-chat.service.ts` — passes `workspaceId` and
`thread.userWorkspaceId` to `generateThreadTitle`.
- `agent-async-executor.service.ts` — TODO comment marking that the
repair callback should thread billing once `executeAgent` accepts
`workspaceId` (depends on the executeAgent-finally PR).

## Follow-up

After the executeAgent-finally PR lands, `workspaceId` is in scope at
the `experimental_repairToolCall` callback in
`agent-async-executor.service.ts:198`. Thread `billingContext` through
to fire repair-call billing for workflow agents too, and remove the
TODO. Tiny follow-up.

## Test plan
- [ ] Create a new chat thread; verify a `usageEvent` row is written for
the title generation call.
- [ ] Send a chat message that triggers tool-call repair (e.g. force a
malformed tool call); verify a `usageEvent` row for the repair sub-call.

## Notes for review
- `billingContext` arg made **optional** to allow incremental rollout —
the executeAgent-finally PR plus a small follow-up will close the
agent-async-executor side.

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

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-27 20:54:40 +02:00
nitin bb5f294c5a [AI] Collapse NativeToolBinder to a single bind() entry (#20051)
The binder doesnt need an agent or full tool context -- just a model and
options.
Single `bind(model, options)` entry!


Builds on #20022.
2026-04-27 16:35:59 +02:00