## 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
## Summary
Fixes Sentry errors of the form:
> \`messages.3: \`tool_use\` ids were found without \`tool_result\`
blocks immediately after: srvtoolu_…. Each \`tool_use\` block must have
a corresponding \`tool_result\` block in the next message.\`
### Root cause
When the model invokes a **provider-hosted tool** (e.g. Anthropic's
native \`web_search\` — note the \`srvtoolu_\` ID prefix), the AI SDK
marks the resulting \`UIMessagePart\` with \`providerExecuted: true\`.
\`convertToModelMessages\` uses that flag to emit the
tool_use/tool_result pair *inside the same assistant message* — the
format Anthropic requires for server-side tools.
Our \`AgentMessagePart\` persistence was dropping \`providerExecuted\`
on the way to the DB (and re-hydration didn't know to set it). On the
next turn, \`convertToModelMessages\` treated the rehydrated part as a
client-side tool call, splitting it into \`assistant(tool_use)\` +
\`user(tool_result)\` — which Anthropic then rejects with the error
above.
### Fix
- Add nullable \`providerExecuted BOOLEAN\` column on
\`core.agentMessagePart\` via a fast instance command.
- Surface the field on \`AgentMessagePartDTO\` (GraphQL).
- Preserve it through \`mapUIMessagePartsToDBParts\` (server) and both
\`mapDBPartToUIMessagePart\` mappers (server + frontend).
- Include it in \`GET_CHAT_MESSAGES\` and \`GET_AGENT_TURNS\`
selections.
- Regenerate \`generated-metadata/graphql.ts\`.
### Backwards compatibility
Existing rows have \`NULL providerExecuted\` and round-trip as the
omitted flag — which is exactly the pre-fix behaviour for tool parts
that were never provider-executed. Only *new* assistant messages using
\`web_search\` (or other provider-hosted tools) will write \`true\`, and
those are the only ones that were breaking.
## Test plan
- [x] \`npx tsgo\` typecheck — server + front clean
- [x] \`oxlint\` + \`prettier --check\` on all touched files — clean
- [x] \`npx nx run twenty-server:database:migrate:prod\` runs the new
instance command locally; \`providerExecuted\` column present on
\`core.agentMessagePart\`
- [x] Regenerated \`generated-metadata/graphql.ts\` —
\`providerExecuted\` wired into both queries and \`AgentMessagePart\`
type
- [ ] Manual: start a chat with Anthropic web_search enabled, invoke the
tool in turn 1, reply in turn 2 — should not throw the srvtoolu error
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
**PR 1 of 2.** Follow-up PR ships the Exa app, sets it as a default
pre-installed app, and removes the current `WebSearchTool` /
`WebSearchService` / `ExaDriver`. This PR adds the plumbing; no
user-visible change yet.
## Summary
- Server admins can declare a list of npm app packages to auto-install
on every new workspace and backfill onto existing workspaces via CLI.
- Server-level secrets (like Exa's API key) live on the
`ApplicationRegistration` (one row per server, encrypted) and are
injected into logic function execution env at runtime. No more
per-workspace storage of global secrets.
- A generic `POST /app/billing/charge` endpoint lets app logic functions
emit workspace usage events for metered features. Exa uses it in PR 2;
future apps (call recorder, etc.) reuse it.
- `LogicFunctionToolProvider` tool name prefix changes `logic_function_`
→ `app_`. Shorter, accurate (they come from installed apps).
## What's in this PR
**Logic function executor — server-level variables**
- `LogicFunctionExecutorService.getExecutionEnvVariables` now resolves
env vars in the order: hardcoded defaults →
`ApplicationRegistrationVariable[]` (server-level) →
`ApplicationVariable[]` (workspace-level override). The manifest
`serverVariables` schema has existed; this closes the loop.
**Config**
- `PRE_INSTALLED_APPS` — comma-separated list of npm packages. Default:
empty.
**\`PreInstalledAppsService\`** (new module)
- \`onApplicationBootstrap()\` — fetches each package's manifest from
the app registry CDN, upserts an \`ApplicationRegistration\`, and seeds
declared \`serverVariables\` from matching env vars (e.g.
\`EXA_API_KEY\` env → encrypted registration variable).
- \`installOnWorkspace(workspaceId)\` — installs all pre-installed apps
on a single workspace. Tolerates per-app failures.
**Auto-install on new workspace activation**
- \`WorkspaceService.prefillCreatedWorkspaceRecords\` invokes
\`installOnWorkspace\` after prefilling standard records. Non-blocking
on failure.
**Backfill CLI command**
- \`install-pre-installed-apps\` — iterates active and suspended
workspaces, installs pre-installed apps that aren't yet installed.
Idempotent. Run after changing \`PRE_INSTALLED_APPS\`.
**App billing endpoint**
- \`POST /app/billing/charge\`. Authenticated via \`APPLICATION_ACCESS\`
token (already injected into logic function execution env as
\`DEFAULT_APP_ACCESS_TOKEN\`). Body: \`{ creditsUsedMicro, quantity,
unit, operationType, resourceContext? }\`. Emits \`USAGE_RECORDED\` with
\`applicationId\` as \`resourceId\`. Generic — reusable by any app.
**Tool name prefix**
- \`LogicFunctionToolProvider.buildLogicFunctionToolName\` now produces
\`app_<name>\` instead of \`logic_function_<name>\`. Only affects tools
sourced from logic functions; other tool providers unchanged.
## Stats
- 16 files, +501 / −2
- 7 new files (1 command, 1 service × 2, 1 controller, 1 DTO, 2 modules)
- Typecheck: 7 pre-existing errors, zero new
- Prettier clean
## Behavior deltas
- **\`PRE_INSTALLED_APPS\` default = empty**: existing servers see no
change on merge.
- **\`ApplicationRegistrationVariable\` is now read by the executor**:
apps that were using manifest \`serverVariables\` but expecting them to
be ignored by the executor will now see them injected. No apps ship with
\`isTool: true\` logic functions today, so this is latent — first
consumer is Exa in PR 2.
- **Tool prefix**: currently no logic-function tools are named
\`logic_function_*\` in any production flow. The prefix change affects
only future tools emitted by \`LogicFunctionToolProvider\`.
## Risks
- **CDN unavailability at startup**: if the app registry CDN is down,
\`ensureRegistrationsExist\` logs warnings but doesn't block server
start. Installation on new workspaces during this window will find no
registrations and log a non-blocking error. Backfill command can retry
after CDN recovers.
- **Cold-start overhead**: \`ensureRegistrationsExist\` is called once
per process on bootstrap. Current configurable default is empty, so zero
overhead. When an admin sets \`PRE_INSTALLED_APPS\`, they accept one
HTTP call per package at boot.
- **Server-level variables flow**:
\`ApplicationRegistrationVariable.encryptedValue\` is shared by all
workspaces of a server. Appropriate for a single-tenant Exa key. Not
appropriate for per-tenant keys — those go in workspace-level
\`ApplicationVariable\` and override.
## Test plan
- [ ] \`npx nx typecheck twenty-server\` passes (verified: 7
pre-existing unrelated errors, zero new)
- [ ] Set \`PRE_INSTALLED_APPS=@twenty-apps/hello-world\` (or any real
npm-published app), \`HELLO_WORLD_API_KEY=xxx\`, restart server:
\`ApplicationRegistration\` row is upserted,
\`ApplicationRegistrationVariable\` for HELLO_WORLD_API_KEY is populated
(encrypted).
- [ ] Create a new workspace: the app is auto-installed,
\`ApplicationEntity\` row created, \`LogicFunctionEntity\` rows created.
- [ ] Existing workspace: run \`yarn nx run twenty-server:command
install-pre-installed-apps\`: apps install across all workspaces,
idempotent on re-run.
- [ ] Trigger a logic function that reads
\`process.env.HELLO_WORLD_API_KEY\`: value resolves from the
server-level \`ApplicationRegistrationVariable\`.
- [ ] Log a charge from the handler: \`POST /app/billing/charge\` with
\`Authorization: Bearer \$DEFAULT_APP_ACCESS_TOKEN\` body
\`{creditsUsedMicro: 1000, quantity: 1, unit: "INVOCATION",
operationType: "WEB_SEARCH"}\` → returns \`{success: true}\`,
\`USAGE_RECORDED\` event emitted with correct
\`resourceId=applicationId\`.
- [ ] Tool name generated by \`LogicFunctionToolProvider\` starts with
\`app_\`.
## What's NOT in this PR (PR 2 scope)
- The Exa app itself (\`packages/twenty-apps/...\` directory)
- Removing \`WebSearchTool\`, \`WebSearchService\`, \`ExaDriver\`,
\`web-search\` module
- Removing \`WEB_SEARCH_DRIVER\` config var
- Removing the current \`exa_web_search\` entry in
\`ActionToolProvider\`
- Chat preload list updated to \`app_exa_web_search\`
- Frontend \`getToolDisplayMessage\` branch for \`app_exa_web_search\`
- Setting \`PRE_INSTALLED_APPS\` default to include \`@twenty-apps/exa\`
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
- Today `WEB_SEARCH_PREFER_NATIVE` forces a **mutual exclusion**: either
the custom Exa tool preloads as `web_search` or the SDK-native
`web_search` binds. Same name, different backends.
- This PR lets them **coexist**. Custom Exa becomes `exa_web_search`;
native keeps `web_search`. The model picks based on tool descriptions.
- `WEB_SEARCH_PREFER_NATIVE` and `shouldUseNativeSearch()` are deleted.
Exa enablement follows `WEB_SEARCH_DRIVER` (existing). Native enablement
follows the agent's `modelConfiguration.webSearch.enabled` (existing).
## Key changes
**Config / service**
- Deleted `WEB_SEARCH_PREFER_NATIVE` (config-variables.ts)
- Deleted `WebSearchService.shouldUseNativeSearch()`
- `WebSearchService.isEnabled()` unchanged — still gates Exa
availability
**Custom tool rename**
- `ActionToolProvider.toolMap`: `'web_search'` → `'exa_web_search'`
- Descriptor name matches
- `WebSearchTool.description` rewritten to position Exa as
structured/entity-aware, complementary to native
**Native tool binder**
- `NativeToolBinder.bind()` drops the `shouldUseNativeSearch` gate.
Per-agent `modelConfiguration.webSearch.enabled` (inside
`getNativeModelTools`) stays authoritative.
**Chat**
- Preload list now always includes `exa_web_search` —
`ActionToolProvider` silently skips the descriptor when Exa is disabled,
so `getToolsByName` degrades gracefully
- Native tools always attempted; returns empty ToolSet when the model
doesn't support them
- `directTools = { ...preloadedTools, ...nativeSearchTools }` — both
present when both enabled
- `billNativeWebSearchUsage` called unconditionally (the function
already short-circuits on count ≤ 0)
**Workflow agent**
- Same unconditional billing pattern
- `WebSearchService` dependency removed
**System prompt**
- Dropped the special-cased `web_search` branch. Preloaded tools list
uniformly now.
**Frontend**
- `exa_web_search` reuses the same "Searching the web for X" display as
native
- Test coverage added
## Billing isolation (verified)
- `countNativeWebSearchCallsFromSteps` counts `toolName ===
'web_search'` only. After the rename, only native calls match. Exa calls
(`exa_web_search`) are billed separately via
`WebSearchService.emitUsageEvent` inside `search()`.
- No double-billing path.
## Behavior deltas (intended)
| Scenario | Before | After |
|---|---|---|
| Anthropic model + Exa enabled + PREFER_NATIVE=true | native only |
**both** |
| Anthropic + Exa enabled + PREFER_NATIVE=false | Exa only (as
`web_search`) | **both** |
| Non-native model + Exa enabled | Exa as `web_search` | Exa as
`exa_web_search` |
| Any model + Exa disabled + native supported | native only | native
only |
| Workflow agent with `webSearch.enabled=true` + Anthropic + Exa enabled
| native only | **both** |
## Known regression (accepted)
Customers who set `WEB_SEARCH_PREFER_NATIVE=false` to force Exa-only
will now **also** see native `web_search` if the model supports it.
There's no chat-level kill switch after this PR. Per discussion, this is
accepted — future model-level capability gating (in the model JSON) will
be the right place for that control.
## Stats
- 10 files, +63 / −73 (net deletion)
- Typecheck clean (server: 7 pre-existing unrelated, front: 13
pre-existing unrelated — zero new either side)
- Prettier clean
## Test plan
- [ ] `npx nx typecheck twenty-server` and `npx nx typecheck
twenty-front` pass
- [ ] With Anthropic + Exa enabled: chat shows both `web_search` and
`exa_web_search` in preloaded list; model can call either
- [ ] With Anthropic + Exa disabled: chat shows only native `web_search`
- [ ] With non-native model + Exa enabled: chat shows only
`exa_web_search`
- [ ] Workflow agent with `modelConfiguration.webSearch.enabled=true` +
Exa enabled: both available
- [ ] Billing: native calls billed via `billNativeWebSearchUsage`; Exa
calls billed via `WebSearchService.emitUsageEvent`; no double-billing
- [ ] Frontend: `exa_web_search` renders "Searching the web for X" the
same as `web_search`
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
## Summary
The "AI" acronym was rendered inconsistently across the codebase. The
backend AI module had settled on PascalCase `Ai` (`AiAgentModule`,
`AiBillingService`, `AiChatModule`, `AiModelRegistryService`, etc.),
while frontend components, several DTOs, a few types, and shared
identifiers still used all-caps `AI` (`AIChatTab`,
`AISystemPromptPreviewDTO`, `SettingsPath.AIPrompts`, ...). CLAUDE.md
specifies PascalCase for classes; this PR normalizes everything internal
to `Ai`.
**This is a pure internal rename.** The GraphQL schema is untouched —
`@ObjectType` decorator string arguments, resolver method names (which
become Query/Mutation field names), gql template contents, and the
`generated-metadata/graphql.ts` file are preserved verbatim. The only
visible change is TypeScript identifiers and file names.
## Also folded in (adjacent cleanups)
- **`AgentModelConfigService` → `AiModelConfigService`**. Lives in
`ai-models/` and is used by multiple AI code paths, not just the Agent
entity. The "Agent" prefix was misleading.
- **`generate-text-input.dto.ts` → `generate-text.input.ts`**. The
`ai-agent/dtos/` folder already uses `<entity>.input.ts` convention for
Input classes (`create-agent.input.ts` etc.); the old path mixed
`.dto.ts` file extension with a class that has no DTO suffix. File
rename only; class stays `GenerateTextInput`.
- **Removed stale TODO** in `ai-model-config.type.ts` that asked for the
`AiModelConfig` rename that this PR performs.
## Rename methodology
Bulk rename via perl with anchored regex
`(?<!['"])(?<![A-Z.])AI([A-Z])(?=[a-z])/Ai$1/g`:
- **Lookbehind for non-uppercase** skips adjacent acronyms (`MOSAIC`,
`OIDCSSO`) and leaves `AIRBNB_ID` alone.
- **Lookbehind for non-quote** protects most string literals.
- **Lookahead for lowercase** restricts matches to PascalCase
identifiers (`AIChatTab`), leaving SCREAMING_SNAKE constants untouched.
Strict file-scope exclusions: `generated-metadata/**`, `generated/**`,
`locales/**`, `migrations/**`, `illustrations/**`, `halftone/**`, and
the two gql template files (`queries/getAISystemPromptPreview.ts`,
`mutations/uploadAIChatFile.ts`).
Post-rename reverts for identifiers where the regex was too eager:
- Backend resolver method names kept: `getAISystemPromptPreview`,
`uploadAIChatFile` (they are GraphQL field names).
- `@ObjectType('AdminAIModels')` / `('AISystemPromptPreview')` /
`('AISystemPromptSection')` kept as-is.
- Backend classes `ClientAIModelConfig` / `AdminAIModelConfig` kept
as-is (they use `@ObjectType()` with no argument, so the class name IS
the schema name).
- External-library symbols restored: `OpenAIProvider`,
`createOpenAICompatible`, `vercelAIIntegration`.
File renames use a two-step rename to work on macOS case-insensitive
filesystems: `git mv X.tsx X.tsx.tmp && git mv X.tsx.tmp renamed.tsx`.
## Diff audit
- 0 changes to migrations
- 0 changes to locale `.po` / `.ts` files
- 0 changes to `generated-metadata/graphql.ts`
- 0 changes to website illustration files (base64 blobs preserved)
- 0 renames inside user-facing translation strings (`t\`…\``,
`msg\`…\``, `<Trans>…</Trans>`)
## Test plan
- [x] `npx nx typecheck twenty-server` — PASS
- [x] `npx nx typecheck twenty-front` — PASS
- [x] `npx jest ai-model admin agent-role` — 79/79 PASS
- [x] `npx oxlint --type-aware` on 118 changed files — 0 errors
- [x] `npx prettier --check` on 118 changed files — clean
- [ ] CI
## What changed
This refactor fixes AI chat error surfacing by aligning both the backend
and frontend with the existing GraphQL error architecture instead of
adding AI-local error translation.
On the backend:
- add a dedicated GraphQL billing exception path
- register billing GraphQL handling globally for GraphQL requests
- reuse the existing AI GraphQL interceptor path for agent/chat
exceptions
- keep billing status classification shared between REST and GraphQL
- remove the earlier attempt to preserve `CustomException` metadata in
the global GraphQL fallback
On the frontend:
- keep the original Apollo GraphQL error object in AI chat state
- reuse shared Apollo/GraphQL helpers for user-facing messages and
error-type checks
- delete AI-specific error extraction helpers that duplicated generic
GraphQL parsing
- replace a few direct `extensions.subCode` call sites with a shared
predicate
## Why it changed
The original bug was that `BillingException` and AI exceptions thrown
from chat were not being translated into GraphQL errors with the
expected `extensions.subCode` and `extensions.userFriendlyMessage`, so
the AI chat UI had nothing structured to inspect.
An intermediate fix worked mechanically but pushed `CustomException`
handling into the global GraphQL fallback, which blurred the intended
layering. This PR moves the behavior back to explicit GraphQL edges.
## Root cause
`AgentChatResolver` could throw `BillingException` and `AgentException`,
but:
- billing had a REST exception filter and no shared GraphQL equivalent
- AI chat was not consistently using the same GraphQL exception
translation path as the sibling AI resolver
- the frontend chat UI had drifted into AI-specific error parsing
instead of consuming the same structured Apollo errors as the rest of
the app
## Impact
- `BILLING_CREDITS_EXHAUSTED` is now preserved through GraphQL and can
render the existing credits-exhausted UI in chat
- `API_KEY_NOT_CONFIGURED` is preserved through the AI GraphQL path
- AI chat now follows the same general GraphQL error consumption pattern
as the rest of the frontend
- billing GraphQL handling is less dependent on individual resolver
authors remembering to add a filter
## Validation
- `yarn jest --config packages/twenty-server/jest.config.mjs
packages/twenty-server/src/engine/core-modules/billing/utils/__tests__/billing-graphql-api-exception-handler.util.spec.ts
packages/twenty-server/src/engine/metadata-modules/ai/ai-agent/utils/__tests__/agent-graphql-api-exception-handler.util.spec.ts`
- `yarn jest --config packages/twenty-front/jest.config.mjs
packages/twenty-front/src/utils/__tests__/is-graphql-error-of-type.util.test.ts`
- `npx oxlint --type-aware ...` on touched backend/frontend files
- `npx prettier --check ...` on touched backend/frontend files
## Follow-up ideas
- consolidate frontend GraphQL error helpers further so more existing
direct `extensions.subCode` checks move to shared utilities
- consider whether common GraphQL exception filter registration should
live in a more explicit GraphQL-specific module instead of
`CoreEngineModule`
- add an end-to-end test for a real `sendChatMessage` GraphQL failure
path in AI chat
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
closes
https://discord.com/channels/1130383047699738754/1480991390782455838
- Use data-code-execution as the streaming source of truth and hide
duplicate code-interpreter tool parts (including tool-execute_tool
wrappers).
- Ensure wrapped execute_tool code-interpreter outputs still render
correctly after refetch.
- Gate code-interpreter server behavior by enablement state and keep
assistant messages full-width to avoid streaming vs completed width
shifts.
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
## Summary
- **Queue messages while streaming**: Messages sent during active AI
streaming are queued server-side and auto-flushed when the current
stream completes. Frontend renders queued messages optimistically in a
dedicated queue UI.
- **Drop `@ai-sdk/react` + `resumable-stream`**: Replace the dual HTTP
SSE + AI SDK client architecture with a single GraphQL SSE subscription
per thread. All events (token chunks, message persistence, queue
updates, errors) flow through Redis PubSub → GraphQL subscription.
- **Server-driven architecture**: The server decides whether to queue or
stream (via `POST /:threadId/message`). The frontend mirrors this
decision for optimistic rendering but defers to the server response.
- **Reuse AI SDK accumulation logic**: `readUIMessageStream` from the
`ai` package handles chunk-to-message accumulation on the frontend,
avoiding a custom 780-line accumulator.
## Key files
**Backend:**
- `agent-chat-event-publisher.service.ts` — publishes events to Redis
PubSub
- `agent-chat-subscription.resolver.ts` — GraphQL subscription resolver
- `stream-agent-chat.job.ts` — publishes chunks via PubSub instead of
resumable-stream
- `agent-chat.controller.ts` — unified `POST /:threadId/message`
endpoint
**Frontend:**
- `useAgentChatSubscription.ts` — subscribes to `onAgentChatEvent`,
bridges to `readUIMessageStream`
- `useAgentChat.ts` — send/stop/optimistic rendering (no more AI SDK)
- `AgentChatStreamSubscriptionEffect.tsx` — replaces
`AgentChatAiSdkStreamEffect.tsx`
## Test plan
- [ ] Send message on new thread → optimistic render, streaming response
appears
- [ ] Send message while streaming → queued instantly (no flash in main
thread)
- [ ] Queued message auto-flushes after current stream completes
- [ ] Remove queued message via queue UI
- [ ] Stop streaming mid-response
- [ ] Leave chat idle for several minutes → streaming still works after
(SSE client recycling)
- [ ] Token refresh during session → requests succeed (authenticated
fetch)
- [ ] Switch threads while streaming → clean subscription handoff
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Overview
Add resumable stream support for agent chat to allow clients to
reconnect and resume streaming responses if the connection is
interrupted (e.g., during page refresh).
## Changes
### Backend (Twenty Server)
- Add `activeStreamId` column to `AgentChatThreadEntity` to track
ongoing streams
- Create `AgentChatResumableStreamService` to manage Redis-backed
resumable streams using the `resumable-stream` library with ioredis
- Extend `AgentChatController` with:
- `GET /:threadId/stream` endpoint to resume an existing stream
- `DELETE /:threadId/stream` endpoint to stop an active stream
- Update `AgentChatStreamingService` to store streams in Redis and track
active stream IDs
- Add `resumable-stream@^2.2.12` dependency to package.json
### Frontend (Twenty Front)
- Update `useAgentChat` hook to:
- Use a persistent transport with `prepareReconnectToStreamRequest` for
resumable streams
- Export `resumeStream` function from useChat
- Add `handleStop` callback to clear active stream on DELETE endpoint
- Use thread ID as stable message ID instead of including message count
- Add stream resumption logic in `AgentChatAiSdkStreamEffect` component
to automatically call `resumeStream()` when switching threads
## Database Migration
New migration `1774003611071-add-active-stream-id-to-agent-chat-thread`
adds the `activeStreamId` column to store the current resumable stream
identifier.
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
- Replaces per-provider TypeScript constant files
(`openai-models.const.ts`, `anthropic-models.const.ts`, etc.) with a
single `ai-providers.json` catalog as the source of truth
- Adds runtime model discovery via AI SDK for self-hosted providers,
with `models.dev` enrichment for pricing/capabilities
- Introduces composite model IDs (`provider/modelId`) for canonical,
conflict-free identification
- Simplifies provider configuration: API keys are injected from
environment variables (e.g., `OPENAI_API_KEY`)
- Adds admin panel UI for provider management (add/remove/test), model
discovery, recommended model configuration, and default fast/smart model
selection per workspace
- Removes deprecated config variables (`AI_DISABLED_MODEL_IDS`,
`AUTO_ENABLE_NEW_AI_MODELS`, etc.)
- Adds database migration for composite model ID format
## Test plan
- [ ] Server typecheck passes
- [ ] Frontend typecheck passes
- [ ] Server unit tests pass
- [ ] Frontend unit tests pass
- [ ] CI pipeline green
- [ ] Admin panel AI tab loads correctly
- [ ] Provider discovery works for configured providers
- [ ] Model recommendation toggles persist
- [ ] Default fast/smart model selection works
Made with [Cursor](https://cursor.com)
This PR:
- Breaks useAgentChatData into focused effect components (streaming,
fetch,
init, auto-scroll, diff sync)
- Splits message list into non-last (stable) + last (streaming/error) to
prevent full re-renders on each stream chunk
- Adds scroll-to-bottom button and MutationObserver-based auto-scroll on
thread switch
- Lifts loading state from context to atoms
- Adds areEqual to selector
factories
We could improve further but this sets up a robust architecture for
further refactoring.
## Messages flow
The flow of messages loading and streaming is now more solid.
Everything goes out from `AgentChatAiSdkStreamEffect`, whether loaded
from the DB or streaming directly, and every consumers is using only one
atom `agentChatMessagesComponentFamilyState`
## Data sync effect with callbacks new hook
See
`packages/twenty-front/src/modules/apollo/hooks/useQueryWithCallbacks.ts`
which allows to fix Apollo v4 migration leftovers and is an
implementation of the pattern we talked about with @charlesBochet
We could refine this pattern in another PR.
# Before
https://github.com/user-attachments/assets/84e7a96f-6790-405d-8a73-2dacbf783be5
# After
https://github.com/user-attachments/assets/4c692e3a-2413-4513-abcc-44d0da311203
Co-authored-by: Charles Bochet <charles@twenty.com>
This PR adds the necessary tool to create a demo workspace with :
relevant custom objects and fields, mock data and a real dashboard with
graph widgets.
It is still a bit under-optimized and slow but it works.
This PR also adds an AI tool that allows to see what happens in real
time, it navigates the app and waits when necessary.
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
- Remove feature flag
- Remove legacy methods in file-upload and file-service
- Migrate AI Chat to new file management
---------
Co-authored-by: Charles Bochet <charles@twenty.com>
## Summary
Add Home/Chat tabs and a dedicated threads list in the navigation
drawer.
## Changes
- **Navbar tabs:** Tabs in the drawer to switch between Home and Chat
(with “New chat” button). Shown on desktop when expanded and on mobile
below the workspace selector.
- **Navbar threads list:** New `NavigationDrawerAIChatThreadsList` for
the Chat tab with date groups (Today / Yesterday / Older), thread rows
as `NavigationDrawerItem` (IconComment, title, timestamp). Shared
`useAIChatThreadClick` hook used by navbar and command menu; navbar
passes `resetNavigationStack: true`.
- **NavigationDrawerItem:** New `alwaysShowRightOptions` prop so the
timestamp is always visible (no hover-only).
---------
Co-authored-by: Etienne <45695613+etiennejouan@users.noreply.github.com>
Co-authored-by: Félix Malfait <felix@twenty.com>
Co-authored-by: Charles Bochet <charles@twenty.com>
## Add codegen script for frontend test mock data
### Summary
- Adds a new `npx nx mock:generate twenty-front` and
`generate-mock-data.ts` script that fetches object metadata from a
running server's `/metadata` endpoint, authenticates with default seeds,
and writes the result to a generated TypeScript file
(`src/testing/mock-data/generated/mock-metadata-query-result.ts`). This
replaces hand-maintained mock metadata with server-sourced data,
ensuring tests always reflect the real schema.
- Updates all frontend tests to be compatible with the newly generated
metadata, fixing hard-coded GraphQL queries, Zod validation schemas,
snapshot expectations, and Apollo mock mismatches.
### What changed
**New files**
- `scripts/generate-mock-data.ts` — codegen script that authenticates
against the server, queries `/metadata` for all object metadata (with
explicit `__typename` at every level), and writes a typed `.ts` file.
- `project.json` — added `mock:generate` Nx target (`dotenv npx tsx
scripts/generate-mock-data.ts`).
**Schema validation updates**
- `objectMetadataItemSchema.ts` — added `universalIdentifier`, made
`duplicateCriteria` nullable.
- `fieldMetadataItemSchema.ts` — added `universalIdentifier`, `morphId`,
`morphRelations`, restructured relation schema.
- `indexMetadataItemSchema.ts` — added optional `isCustom` field.
## Summary
- update AI chat message typography and list line-height for readability
- apply richer markdown-section styling for headings, spacing,
separators, and inline code
- keep links non-underlined by default with underline on hover, using
accent11 for link color
- preserve previous AI chat table design while keeping other markdown
improvements
## Validation
- yarn eslint
packages/twenty-front/src/modules/ai/components/LazyMarkdownRenderer.tsx
packages/twenty-front/src/modules/ai/components/AIChatMessage.tsx
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
## Summary
- Add `@mention` support to the AI Chat text input by replacing the
plain textarea with a minimal Tiptap editor and building a shared
`mention` module with reusable Tiptap extensions (`MentionTag`,
`MentionSuggestion`), search hook (`useMentionSearch`), and suggestion
menu — all shared with the existing BlockNote-based Notes mentions to
avoid code duplication
- Mentions are serialized as
`[[record:objectName:recordId:displayName]]` markdown (the format
already understood by the backend and rendered in chat messages), and
displayed using the existing `RecordLink` chip component for visual
consistency
- Fix images in chat messages overflowing their container by
constraining to `max-width: 100%`
- Fix web_search tool display showing literal `{query}` instead of the
actual query (ICU single-quote escaping issue in Lingui `t` tagged
templates)
## Test plan
- [ ] Open AI Chat, type `@` and verify the suggestion menu appears with
searchable records
- [ ] Select a mention from the dropdown (via click or keyboard
Enter/ArrowUp/Down) and verify the record chip renders inline
- [ ] Send a message containing a mention and verify it appears
correctly in the conversation as a clickable `RecordLink`
- [ ] Verify Enter sends the message when the suggestion menu is closed,
and selects a mention when the menu is open
- [ ] Verify images in AI chat responses are constrained to the
container width
- [ ] Verify the web_search tool step shows the actual search query
(e.g. "Searched the web for Salesforce") instead of `{query}`
- [ ] Verify Notes @mentions still work as before
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
## Summary
- **Fix token renewal endpoint**: Use `/metadata` instead of `/graphql`
for token renewal in agent chat, fixing auth issues
- **Improve tool display**: Add `load_skills` support, show formatted
tool names (underscores → spaces) with finish/loading states, display
tool icons during loading, and support custom loading messages from tool
input
- **Refactor workflow agent management**: Replace direct
`AgentRepository` access with `AgentService` for create/delete/find
operations in workflow steps, improving encapsulation and consistency
- **Simplify Apollo client usage**: Remove explicit Apollo client
override in `useGetToolIndex`, add `AgentChatProvider` to
`AppRouterProviders`
- **Fix load-skill tool**: Change parameter type from `string` to `json`
for proper schema parsing
- **Update agent-chat-streaming**: Use `AgentService` for agent
resolution and tool registration instead of direct repository queries
## Test plan
- [ ] Verify AI agent chat works end-to-end (send message, receive
response)
- [ ] Verify tool steps display correctly with icons and proper messages
during loading and after completion
- [ ] Verify workflow AI agent step creation and deletion works
correctly
- [ ] Verify workflow version cloning preserves agent configuration
- [ ] Verify token renewal works when tokens expire during agent chat
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: cubic-dev-ai[bot] <191113872+cubic-dev-ai[bot]@users.noreply.github.com>
## Reduce type leakage between GraphQL schemas
### Why
Twenty runs two separate GraphQL schemas: **core** and **metadata**.
NestJS's `@nestjs/graphql` uses a global `TypeMetadataStorage` that
accumulates all decorated types across all modules. When each schema is
built, every registered type leaks into both schemas regardless of which
module it belongs to.
This means the core schema's generated TypeScript
(`generated/graphql.ts`) contained ~2,700 lines of types that only
belong to the metadata schema (and vice versa). This creates confusion
about type ownership, inflates generated code, and makes it harder to
reason about which API surface each schema actually exposes.
### How
**1. Patch `@nestjs/graphql` to support schema-scoped type resolution**
- **(Already done)** Added a `resolverSchemaScope` option to
`GqlModuleOptions`, allowing each schema to declare a scope (e.g.
`'metadata'`)
- `ResolversExplorerService` now filters resolvers by a
`RESOLVER_SCHEMA_SCOPE` metadata key, so each schema only sees its own
resolvers
- `GraphQLSchemaFactory` now performs a **reachability walk**
(`computeReachableTypes`) starting from scoped resolver return types and
arguments, only including types that are transitively referenced —
handling unions, interfaces, and prototype chains
- Type definition storage and orphaned reference registry are cleared
between schema builds to prevent cross-contamination
**2. Register `ClientConfig` as orphaned type in metadata schema**
Since `ClientConfig` is needed in the metadata schema but not directly
returned by a resolver, it's explicitly declared via
`buildSchemaOptions.orphanedTypes`.
**3. Regenerate frontend types and fix imports**
- `generated/graphql.ts` shrank by ~2,700 lines (types moved to where
they belong)
- `generated-metadata/graphql.ts` gained types like `ClientConfig` that
were previously missing
- ~500 frontend files updated to import from the correct generated file
⚠️ **AI-generated PR — not ready for review** ⚠️
cc @FelixMalfait
---
## Changes
### System prompt improvements
- Explicit skill-before-tools workflow to prevent the model from calling
tools without loading the matching skill first
- Data efficiency guidance (default small limits, use filters)
- Pluralized `load_skill` → `load_skills` for consistency with
`load_tools`
### Token usage reduction
- Output serialization layer: strips null/undefined/empty values from
tool results
- Lowered default `find_*` limit from 100 → 10, max from 1000 → 100
### System object tool generation
- System objects (calendar events, messages, etc.) now generate AI tools
- Only workflow-related and favorite-related objects are excluded
### Context window display fix
- **Bug**: UI compared cumulative tokens (sum of all turns) against
single-request context window → showed 100% after a few turns
- **Fix**: Track `conversationSize` (last step's `inputTokens`) which
represents the actual conversation history size sent to the model
- New `conversationSize` column on thread entity with migration
### Workspace AI instructions
- Support for custom workspace-level AI instructions
---------
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
## Summary
This PR adds user-friendly error handling for AI chat features,
specifically for **billing credits exhausted** and **API key not
configured** errors.
## Changes
### Backend
- Added `BILLING_CREDITS_EXHAUSTED` exception code with 402 status
- Added `API_KEY_NOT_CONFIGURED` exception code with 503 status
- Added billing check before AI chat streaming in
`agent-chat.controller.ts`
- Added error code to HTTP exception response body for frontend error
type detection
- Created `AgentRestApiExceptionFilter` for agent-specific errors
### Frontend
- Created `AIChatBanner` - reusable banner component for error/warning
messages
- Created `AIChatCreditsExhaustedMessage` - shows upgrade prompts based
on user permissions
- Created `AIChatApiKeyNotConfiguredMessage` - shows configuration
guidance with docs link
- Created `AIChatErrorRenderer` - encapsulates error type switching
logic (fixes nested ternary)
- Created `AIChatStandaloneError` - displays errors when there are no
messages
- Split `aiChatErrorUtils.ts` into separate files (1 export per file):
- `AIChatErrorCode.ts`
- `extractErrorCode.ts`
- `isAIChatErrorOfType.ts`
- `isBillingCreditsExhaustedError.ts`
- `isApiKeyNotConfiguredError.ts`
- Added comprehensive test coverage (27 tests)
### Other
- Updated trial period banner messaging
## Testing
- All lint checks pass
- All 27 new tests pass
- TypeScript typecheck passes
## Summary
This PR enforces the use of `@/` alias for imports instead of relative
parent imports (`../`).
## Changes
### ESLint Configuration
- Added `no-restricted-imports` pattern in `eslint.config.react.mjs` to
block `../*` imports with the message "Relative parent imports are not
allowed. Use @/ alias instead."
- Removed the non-working `import/no-relative-parent-imports` rule
(doesn't work properly in ESLint flat config)
### VS Code Settings
- Added `javascript.preferences.importModuleSpecifier: non-relative` to
`.vscode/settings.json` (TypeScript setting was already there)
### Code Fixes
- Fixed **941 relative parent imports** across **706 files** in
`packages/twenty-front`
- All `../` imports converted to use `@/` alias
## Why
- Consistent import style across the codebase
- Easier to move files without breaking imports
- Better IDE support for auto-imports
- Clearer understanding of where imports come from
## Summary
- Add a context usage indicator to the AI chat interface inspired by
Vercel's AI SDK Context component
- Display token consumption, context window utilization percentage, and
estimated cost in credits
- Show a circular progress ring with percentage, revealing detailed
breakdown on hover
## Changes
### Backend
- Stream usage metadata (tokens, model config) via `messageMetadata`
callback in `agent-chat-streaming.service.ts`
- Return model config from `chat-execution.service.ts`
- Add usage and model types to `ExtendedUIMessage` metadata
### Frontend
- New `ContextUsageProgressRing` component - circular SVG progress
indicator
- New `AIChatContextUsageButton` component with hover card showing:
- Progress bar with used/total tokens
- Input/output token counts with credit costs
- Total credits consumed
- Track cumulative usage in Recoil state (`agentChatUsageState`)
- Reset usage when creating new chat thread
- Integrate button into `AIChatTab`
## Test plan
- [ ] Open AI chat and send a message
- [ ] Verify the context usage button appears with percentage
- [ ] Hover over the button to see detailed breakdown
- [ ] Verify credits are calculated correctly
- [ ] Create a new chat thread and verify usage resets to 0
## Summary
This PR introduces a comprehensive agent evaluation system and refactors
the AI module structure for better organization.
## Key Changes
### 🎯 Agent Evaluation System
- Added **Agent Turn Evaluation** entities, DTOs, and database schema
- New GraphQL mutations: `evaluateAgentTurn` and `runEvaluationInput`
- Added `evaluationInputs` field to Agent entity for storing test inputs
- New `AgentTurnGraderService` for automatic turn evaluation
- Added evaluation UI with new **Evals** and **Logs** tabs in agent
detail pages
### 🏗️ Entity & Module Refactoring
- Renamed `AgentChatMessage` → `AgentMessage` for clarity
- Consolidated chat entities: `AgentMessage`, `AgentTurn`, and
`AgentChatThread`
- Reorganized AI modules under `ai/` subdirectory structure
- Updated imports across codebase to reflect new module paths
### 🤖 New Agents & Roles
- Added **Dashboard Builder Agent** for dashboard creation and
management
- Added **Dashboard Manager Role** with appropriate permissions
- Updated role permissions to be more granular (users vs agents vs API
keys)
### 🔐 Permission System Updates
- Added `HTTP_REQUEST_TOOL` permission flag
- Updated Workflow Manager role permissions (restricted tool access)
- Enhanced permission flag types to differentiate between user/agent/API
key contexts
- Added `isRelevantForAgents`, `isRelevantForApiKeys`,
`isRelevantForUsers` to permission flags
### 📨 Message Role Enhancement
- Added `system` role to `AgentMessageRole` enum (alongside
user/assistant)
- Updated message handling to support system prompts
### 🎨 UI/UX Improvements
- New tabs in agent detail: **Evals** and **Logs**
- Added turn detail page: `/ai/agents/:agentId/turns/:turnId`
- Fixed text overflow in `SettingsListItemCardContent`
- Updated role applicability labels ("Assignable to Workspace Members")
### 🛠️ Technical Improvements
- Fixed Zod schema validation for UUID and Date fields (use string
validators)
- Updated `ToolRegistryService` to properly register HTTP tool with
permission flag
- Enhanced error handling in agent execution services
- Updated database migrations for new entity schema
## Database Migrations
- `1764210000000-add-system-role-to-agent-message.ts`
- `1764220000000-add-evaluation-inputs-to-agent.ts`
- `1764200000000-add-agent-turn-evaluation.ts`
- `1764100000000-refactor-agent-chat-entities.ts`
## Testing
- [ ] Agent evaluation flow tested
- [ ] Dashboard Builder agent tested
- [ ] Permission system validated
- [ ] UI tabs and navigation tested
- [ ] Database migrations run successfully
## Breaking Changes
⚠️ **Entity Rename**: `AgentChatMessage` renamed to `AgentMessage` -
GraphQL queries need updating
## Related Issues
<!-- Link any related issues here -->
## Screenshots
<!-- Add screenshots if applicable -->
## Summary
This PR adds configurable response format support for AI agents,
allowing them to return either plain text or structured JSON data based
on a defined schema.
## Key Features
### 1. Agent Response Format Configuration
- Added `AgentResponseFormat` type supporting:
- `text`: Returns plain text responses (default)
- `json`: Returns structured JSON based on defined schema
- New `AgentResponseSchema` type moved to `twenty-shared/ai` for sharing
between frontend/backend
### 2. Settings UI
- New `SettingsAgentResponseFormat` component for configuring response
format
- Visual schema builder for defining JSON output structure
- Real-time validation and preview
- Integrated into agent settings tab
### 3. Workflow Integration
- AI Agent workflow action automatically uses agent's configured
response format
- Output schema dynamically generated from agent's response format
- Workflow variable picker shows structured fields for JSON responses
- Backward compatible with existing text-only agents
### 4. Backend Implementation
- Added `convertAgentSchemaToZod` utility to validate JSON responses
- Agent executor service handles both text and JSON generation
- Automatic agent creation/cloning when adding AI agent steps to
workflows
- Unique agent naming with conflict resolution
### 5. Database Migration
- Migration `1763622159656-update-agent-response-format.ts`
- Sets default `responseFormat` to `{"type":"text"}` for existing agents
- Updated all standard agents with proper response format
## Changes by Module
### Frontend (`twenty-front`)
- 🆕 `AgentResponseFormat` type
- 🆕 `SettingsAgentResponseFormat` component
- ✏️ Updated `WorkflowEditActionAiAgent` to support response format
configuration
- 🗑️ Removed deprecated `useAiAgentOutputSchema` hook and
`AiAgentOutputSchema` type
### Backend (`twenty-server`)
- 🆕 `AgentResponseFormat` type in agent entity
- 🆕 `convertAgentSchemaToZod` utility for schema validation
- ✏️ Updated `AiAgentExecutorService` to handle both text and JSON
generation
- ✏️ Updated `WorkflowSchemaWorkspaceService` to generate output schema
from agent config
- ✏️ Enhanced `WorkflowVersionStepOperationsWorkspaceService` with agent
creation/cloning
- 🆕 Agent naming constants for conflict resolution
### Shared (`twenty-shared`)
- 🆕 `AgentResponseSchema` type
- 🆕 `ModelConfiguration` type moved to shared package
- Updated exports in `ai/index.ts`
## Code Quality
- Removed useless comments following code style guidelines
- All linter checks passed
- Type-safe implementation with proper TypeScript types
## Testing
- ✅ Database migration tested
- ✅ Agent creation/cloning in workflows verified
- ✅ Response format switching (text ↔ JSON) validated
- ✅ Backward compatibility with existing agents confirmed
## Migration Notes
- Existing agents will have `responseFormat: {type: 'text'}` set
automatically
- No breaking changes - all existing functionality preserved
- Agents can be updated to use JSON format through settings UI
**Root Cause**
Many-to-one relation filters were being exposed under the relation name
(e.g., `company`) instead of the corresponding foreign-key attribute
(e.g., `companyId`).
**Change**
- Detect many-to-one relation metadata and remap those filter keys to
`<fieldName>Id`.
- Removed some unused code unrelated to this fix.
Adds intelligent routing system that automatically selects the best
agent for user queries based on conversation context.
### Changes:
- Added `routerModel` column to workspace table for configurable router
LLM selection
- Implemented `RouterService` with conversation history analysis and
agent matching logic
- Created router settings UI in AI Settings page with model dropdown
- Removed agent-specific thread associations - threads are now
agent-agnostic
- Added real-time routing status notification in chat UI with shimmer
effect
- Removed automatic default assistant agent creation
- Renamed GraphQL operations from agent-specific to generic (e.g.,
`agentChatThreads` → `chatThreads`)
---------
Co-authored-by: Félix Malfait <felix.malfait@gmail.com>
Co-authored-by: Félix Malfait <felix@twenty.com>
## TODO
- [ ] add dropdown to use records from outside the context
- [x] add loader for files chip
- [x] add roleId where it's necessary
- [x] Split AvatarChip in two components. One with the icon that will
call the second with leftComponent.
- [ ] Fix tests
- [x] Fix UI regression on Search
nitin