c2ca90c255d50de51907fe48ba8e52804ed9cd6b
181 Commits
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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 - Fixed outdated role-permission examples in _Roles & Permissions_ (`permissionFlags` → `permissionFlagUniversalIdentifiers`, `PermissionFlag` → `SystemPermissionFlag`).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> |
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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"] } } } ``` |
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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> |
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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.
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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) |
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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. |
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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> |
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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
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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> |
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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> |
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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>
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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 |
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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 |
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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) |
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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> |
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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. |
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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 |
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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.
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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> |
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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 |
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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> |
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4c4dc4cb21 | fix(ai-chat)-preference models import (#20776) | ||
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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" /> |
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8d81496625 |
fix(ai-chat) - fixes on cost display (#20750)
- total cost conversion - update metrics at message end |
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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> |
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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. |
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89579f5225 |
fix(ai-chat) - upload files (#20681)
closes https://github.com/twentyhq/twenty/issues/20437 bonus : persist file filename for UI display |
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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> |
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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> |
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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. |
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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`) |
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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 |
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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> |
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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> |
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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 |
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81f351c90c | Ai provider - fix (#20318) | ||
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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> |
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4f439bbe43 | [AI] Prefer batch tools in system prompts (#20173) | ||
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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> |
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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 |
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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> |
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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**
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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> |
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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> |
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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 |
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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>
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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> |
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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>
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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> |
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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. |