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>
## 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>
## Overview
Adds comprehensive admin panel functionality for viewing workspace
details and AI chat threads.
## Changes
### Frontend
- **New Routes**: Added `AdminPanelWorkspaceDetail` and
`AdminPanelWorkspaceChatThread` pages with lazy loading
- **New Queries**:
- `getAdminWorkspaceChatThreads` - fetch chat threads for a workspace
- `getAdminChatThreadMessages` - fetch messages for a specific thread
- `workspaceLookupAdminPanel` - lookup workspace info and users
- **New Components**:
- `SettingsAdminWorkspaceDetail` - displays workspace info and chat
sessions tabs
- `SettingsAdminWorkspaceChatThread` - renders chat conversation with
message bubbles
- **Navigation**: Updated AI admin panel to link to workspace detail
pages
- **Settings Paths**: Added `AdminPanelWorkspaceDetail` and
`AdminPanelWorkspaceChatThread` paths
### Backend
- **New DTOs**:
- `AdminWorkspaceChatThreadDTO` - workspace chat thread data
- `AdminChatThreadMessagesDTO` - thread with messages
- `AdminChatMessageDTO` - individual message with parts
- **New Resolvers**: Added three queries to `AdminPanelResolver`
- **New Service Methods**:
- `workspaceLookup()` - fetch workspace info
- `getWorkspaceChatThreads()` - list chat threads
- `getChatThreadMessages()` - fetch thread messages with validation
- **Module Updates**: Added entity imports for workspace, user, AI chat,
and feature flag data
### Security
- Added `allowImpersonation` check before accessing chat data
- Validates workspace ownership and access permissions
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
Improved error handling in the StreamAgentChatJob to properly propagate
and reject errors that occur during the agent chat stream processing.
## Key Changes
- Added error re-throw in the catch block to ensure errors are not
silently swallowed
- Introduced `streamError` variable to capture errors from the stream's
`onError` callback
- Modified the promise resolution logic to reject with the captured
stream error instead of silently resolving on success, ensuring proper
error propagation to callers
## Implementation Details
The changes ensure that errors occurring during stream processing are
properly captured and propagated:
1. Stream errors are now captured in the `onError` callback and stored
in the `streamError` variable
2. After the stream completes and the message is persisted to the
database, the promise is rejected if a stream error occurred
3. The outer catch block now re-throws errors to prevent silent failures
This fix prevents scenarios where stream processing errors would be
masked by a successful database persistence operation.
https://claude.ai/code/session_016DQodL32HYv6CR1cMASNHZ
---------
Co-authored-by: Claude <noreply@anthropic.com>
## Summary
- Removes all workspace schema definitions for `Favorite` and
`FavoriteFolder` entities, which have been fully migrated to
`NavigationMenuItems`
- Deletes 26 standalone files including workspace entities, NestJS
modules, services, listeners, jobs, standard application builders (field
metadata, views, view fields, view field groups, indexes, page layouts),
mocks, and integration tests
- Cleans up ~40 modified files: removes `favorites` relation from 10
workspace entities and their field metadata utils, removes entries from
all builder maps, shared constants (`STANDARD_OBJECTS`,
`CoreObjectNameSingular`, `DEFAULT_RELATIONS_OBJECTS_STANDARD_IDS`), SDK
default relations, AI tool filtering, and standard object icons
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>
## Summary
This PR adds support for attaching files to agent chat messages. Users
can now upload files when sending messages to the AI agent, and these
files are properly processed, stored, and made available to the agent
with signed URLs.
## Key Changes
- **File attachment input**: Added `fileIds` parameter to the
`sendChatMessage` GraphQL mutation to accept file IDs from the client
- **File processing**: Implemented `buildFilePartsFromIds()` method to
convert file IDs into file UI parts with signed URLs
- **Message composition**: Updated user messages to include both text
and file parts when files are attached
- **File URL signing**: Integrated `FileUrlService` to generate signed
URLs for files in the AgentChat folder, ensuring secure access
- **Message persistence**: Files are now included in the message parts
stored in the database and retrieved when loading conversation history
- **File metadata mapping**: Enhanced `mapDBPartToUIMessagePart()` to
properly extract MIME types from file entities and include file IDs
## Implementation Details
- Files are fetched from the database using the provided file IDs and
workspace context
- Each file is converted to an `ExtendedFileUIPart` with proper metadata
(filename, MIME type, signed URL, and file ID)
- When loading messages from the database, file parts are enhanced with
signed URLs to ensure they remain accessible
- The `loadMessagesFromDB()` method now requires the workspace ID to
properly sign file URLs
- File attachments are seamlessly integrated into the existing message
part system alongside text content
https://claude.ai/code/session_01TAdN1gBzeiYELX4XDrrYY1
---------
Co-authored-by: Claude <noreply@anthropic.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
## Summary
This PR adds a database migration command to backfill standard skills
for existing workspaces and improves the skill loading tool to provide
dynamic, workspace-specific skill availability information instead of
hardcoded skill names.
## Key Changes
- **New Migration Command**: Added `BackfillStandardSkillsCommand`
(v1.22.0) that:
- Identifies missing standard skills in existing workspaces
- Compares workspace skills against the standard skill definitions
- Creates missing skills using the workspace migration service
- Supports dry-run mode for safe testing
- Properly logs all operations and handles failures
- **Enhanced Skill Loading Tool**: Updated `createLoadSkillTool` to:
- Accept a new `listAvailableSkillNames` function parameter
- Dynamically fetch available skills from the workspace instead of using
hardcoded skill names
- Provide accurate, context-aware error messages when skills are not
found
- Gracefully handle workspaces with no available skills
- **Service Updates**: Modified skill tool implementations in:
- `McpProtocolService`: Integrated `findAllFlatSkills` to list available
skills
- `ChatExecutionService`: Integrated `findAllFlatSkills` to list
available skills
- **Module Registration**: Added `BackfillStandardSkillsCommand` to the
v1.22 upgrade module
- **Test Updates**: Updated `McpProtocolService` tests to mock the new
`findAllFlatSkills` method
## Implementation Details
The backfill command uses the existing workspace migration
infrastructure to safely create skills, ensuring consistency with other
metadata operations. The skill availability messaging now reflects the
actual skills present in each workspace, improving user experience when
skills are not found.
https://claude.ai/code/session_012fXeP3bysaEgWsbkyu4ism
Co-authored-by: Claude <noreply@anthropic.com>
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>
## Summary
- `buildBedrockProvider` ignored `authType: "role"` and only honored
static `accessKeyId`/`secretAccessKey` pairs, so deployments relying on
IRSA (e.g. EKS pods with `AWS_WEB_IDENTITY_TOKEN_FILE` + `AWS_ROLE_ARN`)
had no way to authenticate — `@ai-sdk/amazon-bedrock` does not walk the
AWS default credential chain on its own.
- When `authType === 'role'`, wire `fromNodeProviderChain()` from
`@aws-sdk/credential-providers` (already a server dependency, used by
the S3 and logic-function drivers) into `createAmazonBedrock` so IRSA
and other ambient AWS credentials resolve correctly.
- The static-credentials path is unchanged for `authType !== 'role'`.
## Test plan
- [ ] Deploy a server pod with IRSA + an `ai-models-config` entry using
`"authType": "role"` and verify Bedrock calls succeed (no `Could not
load credentials from any providers` error).
- [ ] Verify static-credentials providers (`accessKeyId` +
`secretAccessKey`) still work as before.
- [ ] `npx nx lint:diff-with-main twenty-server` passes.
- [ ] `npx nx typecheck twenty-server` passes.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
Fixes#19422.
Self-hosted users hitting "No AI models are available" after configuring
API keys via the admin panel were victims of a stale
`AiModelRegistryService` cache. Only the four `addAiProvider` /
`removeAiProvider` / `addModelToProvider` / `removeModelFromProvider`
mutations called `refreshRegistry()` — setting an API key through
`set/update/deleteDatabaseConfigVariable` left the registry pointing at
the pre-mutation provider state.
Rather than patch each mutation site (and re-introduce the same class of
bug on the next one), the registry now invalidates lazily based on the
LLM config-group hash, mirroring the pattern `WebSearchDriverFactory`
already uses via `DriverFactoryBase`. Any mutation to an LLM-tagged
config variable is picked up automatically on the next read — callers
never have to remember to refresh.
- Extracted `getConfigGroupHash` into a shared util reused by both
`DriverFactoryBase` and `AiModelRegistryService` (and switched the hash
to `JSON.stringify` so object-typed config vars like `AI_PROVIDERS`
actually contribute meaningfully).
- `AiModelRegistryService` gates all internal `Map` access behind
private getters that call `ensureFresh()`, so future read paths can't
accidentally observe stale state. Build path uses underscored backing
fields directly to avoid recursing.
- Dropped the now-redundant `refreshRegistry()` public method and its
four call sites in `admin-panel.resolver.ts`.
## Test plan
- [x] `nx typecheck twenty-server` passes
- [x] Existing admin-panel + ai-models specs pass (79 tests)
- [ ] Manual: on a self-hosted instance, set `OPENAI_API_KEY` (or
another provider key) via the admin panel `setDatabaseConfigVariable`
mutation and confirm AI features work without a server restart
- [ ] Manual: existing flows (`addAiProvider`, `addModelToProvider`,
etc.) still pick up new providers on the next read
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
- When `WEB_SEARCH_DRIVER` is set to a non-native driver (e.g. `EXA`),
the `web_search` action tool was only listed in the tool catalog and had
to be discovered via `learn_tools` before use. Worse,
`system-prompt-builder` explicitly instructed the model **not** to call
`web_search` whenever it wasn't in the preloaded set, so even setting
`EXA_API_KEY` correctly resulted in the model never calling Exa.
- Fix: preload `web_search` from the registry alongside the other action
tools when `shouldUseNativeSearch()` is false, mirroring how native
provider search is already injected into `directTools`. The system
prompt builder picks this up automatically and advertises `web_search`
as a ready-to-use tool.
- Unrelated: pass `isSystemBuild: true` to the messageThread upgrade
command's migration build.
## Test plan
- [ ] With `WEB_SEARCH_DRIVER=EXA` and `EXA_API_KEY` set, ask the chat
agent for current/news information and verify it calls `web_search`
directly (not via `learn_tools` / `execute_tool`) and that Exa is hit.
- [ ] With `WEB_SEARCH_PREFER_NATIVE=true`, verify native provider
search is still used and the action tool is not preloaded.
- [ ] With `WEB_SEARCH_DRIVER=DISABLED`, verify behavior is unchanged
(`shouldUseNativeSearch()` returns true → no Exa preload).
- [ ] Run the 1-21 fix-message-thread-view-and-label-identifier upgrade
command on a workspace and confirm the migration builds/runs as a system
build.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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>
## Summary
- Introduces a pluggable `WebSearchDriver` abstraction (interface,
factory, service, module) so web search is no longer tied to native
provider tools (Anthropic/OpenAI)
- **Exa** is the first driver implementation with support for
category-filtered search (company, people, news, research paper, etc.) —
particularly useful for CRM workflows
- Per-query billing for both Exa ($0.007/query) and native provider
surcharges ($0.01/query for Anthropic/OpenAI) via the existing
`USAGE_RECORDED` pipeline
- New config variables: `WEB_SEARCH_DRIVER` (EXA/DISABLED),
`EXA_API_KEY`, `WEB_SEARCH_PREFER_NATIVE` (default false — prefers Exa
over native when both available)
- `WEB_SEARCH` operation type added for usage tracking and Stripe
metering
### Architecture
```
WebSearchDriver (interface)
├── ExaDriver — Exa neural search with category support
└── DisabledDriver — throws when search is disabled
WebSearchDriverFactory (extends DriverFactoryBase)
└── creates driver based on WEB_SEARCH_DRIVER config
WebSearchService (facade)
├── search(query, options?, billingContext?)
├── isEnabled()
└── emits USAGE_RECORDED events per query
WebSearchTool (Tool implementation)
└── registered in ActionToolProvider, available via tool catalog
```
### Native search billing gap fixed
Anthropic and OpenAI both charge $0.01/search on top of token costs. The
token costs were already billed, but the per-call surcharge was not.
Added `countNativeWebSearchCallsFromSteps` utility +
`billNativeWebSearchUsage` to `AiBillingService`, wired into both chat
and workflow agent paths.
## Test plan
- [ ] Set `WEB_SEARCH_DRIVER=EXA` + `EXA_API_KEY=...` and verify AI chat
can search the web
- [ ] Verify category parameter works (ask about a specific
company/person)
- [ ] Set `WEB_SEARCH_DRIVER=DISABLED` and verify search tool is not
exposed
- [ ] Set `WEB_SEARCH_PREFER_NATIVE=true` with Anthropic model and
verify native search is used
- [ ] Verify usage events are emitted in ClickHouse for both Exa and
native search paths
- [ ] Verify existing billing tests pass (`npx jest
ai-billing.service.spec.ts`)
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
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>
## Summary
- **Remove `ExecuteToolResult` wrapper** — `execute_tool` is now a
transparent dispatcher that returns the raw `ToolOutput` from underlying
tools. No more `{ toolName, result }` envelope.
- **Type the entire execution chain as `Promise<ToolOutput>`** — from
`ToolExecutorService.dispatch()` through `resolveAndExecute()` to
`execute_tool.execute()`. Zero `Promise<unknown>` remaining in the tool
layer.
- **Use `Extract<ToolExecutionRef, ...>`** for dispatch methods,
enabling exhaustive switch checking and removing `as never` casts.
- **Relax `ToolOutput.result` to accept `null`** — removes `??
undefined` hacks at the boundary with logic function results.
- **Enforce 1-export-per-file** across tool type/interface files (split
`tool-descriptor.type.ts`, `tool-provider.interface.ts`, `tool.type.ts`,
`tool-output.type.ts`, `tool-executor.service.ts`).
- **Simplify error handling** — `wrapWithErrorHandler` and all
meta-errors (tool not found, tool excluded) now return consistent
`ToolOutput` shape with `error` as a plain string.
- **Frontend reads output directly** — removed `unwrapToolOutput`
utility; `ToolStepRenderer` and `ThinkingStepsDisplay` extract
`message`/`error` from the raw output with simple type guards.
- **Add permission error detection** for email tools via
`isInsufficientPermissionsError`, guiding the AI model to suggest
account reconnection instead of hallucinating about visibility settings.
## Test plan
- [ ] AI chat tool calls return visible output (not "null") in the UI
- [ ] Tool errors display correctly in the JSON tree
- [ ] Email draft/send tools return actionable permission errors
- [ ] Code interpreter output renders correctly
- [ ] Thinking steps display tool outputs properly
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
## Summary
Rebased version of #19051 with all review comments addressed. Clean
branch on latest main, lint/typecheck/tests passing.
### Changes from original PR
- AI can now create, update, and delete **view filters**
(`ViewFilterToolsFactory`) and **view sorts** (`ViewSortToolsFactory`)
- `create_view` now accepts `calendarFieldName`, `calendarLayout`, and
`fieldNames` to configure views at creation time
- Three new standard skills: `view-building`, `view-filters-and-sorts`,
`custom-objects-cleanup`
- `workspace-demo-seeding` skill reworked to keep standard objects and
enrich them with custom fields
- Cache invalidation for nav menu items when object `isActive` changes
- Dashboard tool descriptions improved (RECORD_TABLE widget workflow)
### Review comments addressed (all 10 from #19051)
1. **Sentry + Cubic**: Calendar field DATE/DATE_TIME validation — added
`resolveCalendarFieldMetadataId` using `isFieldMetadataDateKind`
2. **Cubic**: "navigate tool" → "navigate_app tool" in skill metadata
(all 7 occurrences)
3. **Copilot**: KANBAN views now require `mainGroupByFieldName` — throws
clear error if missing
4. **Copilot**: CALENDAR views now require both `calendarFieldName` and
`calendarLayout` — validated before DB call
5. **Copilot**: Mock field fixtures include `type` property (DATE_TIME,
TEXT, SELECT)
6. **Copilot**: `ViewFilterValue` type assertion instead of unsafe `as
string` casts (3 locations)
7. **FelixMalfait**: Removed
`NavigationMenuItemObjectDeactivationListener` — replaced with cache
invalidation
8. **FelixMalfait**: Consolidated `ViewFilterToolProvider` and
`ViewSortToolProvider` into single `ViewToolProvider`
9. Removed `VIEW_FILTER` and `VIEW_SORT` from `ToolCategory` enum
(merged into `VIEW`)
10. Removed stale `existingFeatureFlagsMap` param incompatible with
current main
## Test plan
- [x] `npx nx lint:diff-with-main twenty-server` — passes
- [x] `npx nx typecheck twenty-server` — passes
- [x] `view-tools.factory.spec.ts` — all 20 tests pass (including 3 new
validation tests)
Supersedes #19051https://claude.ai/code/session_01QPV74NU6vzmJb32e4i899E
---------
Co-authored-by: Claude <noreply@anthropic.com>
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>
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>
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>
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>
## Summary
- **Fix settings/usage page crash**: The `GraphWidgetLineChart`
component used on `settings/usage` was crashing with "Instance id is not
provided and cannot be found in context" because it requires
`WidgetComponentInstanceContext` (for tooltip/crosshair component
states) which is only provided inside the widget system. Wraps the
standalone chart usages with the required context provider.
- **Avoid mounting `GraphWidgetLegend` when hidden**: The legend
component calls `useIsPageLayoutInEditMode()` which requires
`PageLayoutEditModeProviderContext` — another context only available
inside the widget system. Since the settings page passes
`showLegend={false}`, the fix conditionally unmounts the legend instead
of always mounting it with a `show` prop. Applied consistently across
all four chart types (line, bar, pie, gauge).
- **Add ClickHouse usage event seeds**: Generates ~400 realistic
`usageEvent` rows spanning the past 35 days with weighted user activity,
weekday/weekend patterns, and gradual ramp-up. Enables developers to see
the usage analytics page with data locally.
## Test plan
- [ ] Navigate to `settings/usage` — page should render without errors
- [ ] Verify the daily usage line chart displays correctly
- [ ] Navigate to a user detail page from the usage list
- [ ] Verify the user detail chart renders without errors
- [ ] Run `npx nx clickhouse:seed twenty-server` and confirm usage
events are seeded
- [ ] Verify chart legend still works correctly on dashboard widgets (no
regression)
Made with [Cursor](https://cursor.com)
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>
## Summary
- Adds an `authType` field (`'api_key' | 'access_key' | 'iam_role'`) to
AI provider config
- Providers like Amazon Bedrock that authenticate via IAM role (instance
profile) can now be registered without explicit API keys or access keys
- Backend: `isProviderConfigured()` checks `apiKey || accessKeyId ||
authType`
- Frontend admin panel: shows green "Configured" badge and "IAM role"
description for providers with `authType: "iam_role"`
- Provider detail page shows "IAM role (instance profile)" in the
credentials row
## Companion PR
- twentyhq/twenty-infra#528 — patches `authType: "iam_role"` into
dev/staging Bedrock catalogs
## Changed files
- **Backend**: new `AiProviderAuthType` type, `isProviderConfigured`
util, updated registry + resolver
- **Frontend**: new `AiProviderAuthType` type, updated provider list
card + detail page
## Test plan
- [ ] Deploy with a Bedrock catalog that includes `"authType":
"iam_role"` — verify Bedrock shows "Configured" in admin AI panel
- [ ] Verify OpenAI/Anthropic with `apiKey` still show "Configured"
- [ ] Verify a provider with no credentials and no `authType` still
shows "No credentials"
Made with [Cursor](https://cursor.com)
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>
## Summary
- File serving endpoints (`GET file/:fileFolder/:id` and `GET
public-assets/...`) were piping S3/local file streams directly to the
response without any HTTP headers, allowing a stored XSS attack via
uploaded HTML files rendered inline on the CRM origin.
- Adds `Content-Type`, `Content-Disposition`, and
`X-Content-Type-Options: nosniff` headers to all file serving responses.
Only known-safe MIME types (images, PDF, plain text, audio, video) are
served inline; everything else (HTML, SVG, XML, etc.) forces
`Content-Disposition: attachment` to trigger download instead of
rendering.
- New `setFileResponseHeaders` utility with an explicit allowlist of
inline-safe MIME types.
## Test plan
- [x] Unit tests pass (9 tests including 2 new ones: header assertions
and attachment-disposition for HTML)
- [x] Lint clean (`lint:diff-with-main`)
- [x] Typecheck clean (`nx typecheck twenty-server`)
- [ ] Manual: upload an HTML file via `uploadWorkflowFile`, access the
returned URL — should download instead of rendering
- [ ] Manual: upload a PNG image, access the URL — should render inline
with correct `Content-Type: image/png`
- [ ] Manual: verify `X-Content-Type-Options: nosniff` header is present
on all file responses
Made with [Cursor](https://cursor.com)
---------
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Etienne <etiennejouan@users.noreply.github.com>
Co-authored-by: Etienne <45695613+etiennejouan@users.noreply.github.com>
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>
## Summary
This PR adds a comprehensive billing usage analytics feature that
provides detailed breakdowns of credit consumption across execution
types, users, resources, and time periods. The implementation includes a
new ClickHouse-backed analytics service, GraphQL API endpoint, and a
frontend dashboard component.
## Key Changes
### Backend
- **New BillingAnalyticsService**: Queries ClickHouse for usage
breakdowns by user, resource, execution type, and time series data
- **BillingEventWriterService**: Writes billing events to ClickHouse for
analytics while maintaining best-effort semantics (never blocks Stripe
billing)
- **ClickHouse Schema**: Added `billingEvent` table with 3-year TTL for
storing detailed billing event data
- **GraphQL Resolver**: New `getBillingAnalytics` query that aggregates
usage data for the current billing period, protected by feature flag and
billing permissions
- **Enhanced BillingUsageEvent**: Added `userWorkspaceId` field to track
per-user credit consumption
- **AI Billing Integration**: Updated AI billing service to pass
`userWorkspaceId` when recording usage events
### Frontend
- **SettingsBillingAnalyticsSection**: New component displaying:
- Usage breakdown by execution type with progress bars
- Daily usage time series chart (28-day view)
- Per-user credit consumption breakdown
- Per-resource (agent/workflow) credit consumption breakdown
- **SettingsUsage Page**: Dedicated page for viewing usage analytics
- **GraphQL Query**: `GetBillingAnalytics` query with generated hooks
- **Navigation**: Added Usage menu item in settings (feature-flagged)
- **Mock Data**: Included screenshot mock data for preview/testing
### Feature Flag
- Added `IS_USAGE_ANALYTICS_ENABLED` feature flag to control visibility
and access to analytics features
## Implementation Details
- Analytics data is queried in parallel for performance
- ClickHouse writes are non-blocking to ensure billing operations never
fail
- Progress bars use dynamic coloring from a predefined palette
- Time series visualization normalizes bar heights relative to max value
- Empty state handling when no analytics data is available
- Responsive UI with proper text truncation for long names
https://claude.ai/code/session_01Y1EqrX6PFq3EJxJq89h7DF
---------
Co-authored-by: Claude <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)
## Summary
- Adds `gemini-3.1-flash-lite-preview` to the Google AI models registry
- Ultra-low-cost Gemini model ($0.25/M input, $1.50/M output) — half the
price of Gemini 3 Flash
- 1M context window, 64K max output, supports dynamic thinking
- No service code changes needed — the existing `AiModelRegistryService`
auto-discovers models from constants
## Changes
- `ai-models-types.const.ts`: Added `gemini-3.1-flash-lite-preview` to
the `ModelId` type union
- `google-models.const.ts`: Added model configuration with pricing,
context window, and capabilities
## Test plan
- [ ] `npx nx typecheck twenty-server` passes
- [ ] `npx nx lint twenty-server` passes
- [ ] With `GOOGLE_API_KEY` set, model appears in available models list
- [ ] Existing Gemini models unaffected
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
This PR fixes what allows to have a working demo workspace skill.
- Skill updated many times into something that works
- Fixed infinite loop in AI chat by memoizing ai-sdk output
- Finished navigateToView implementation
- Increased MAX_STEPS to 300 so the chat don't quit in the middle of a
long running skill
- Added CreateManyRelationFields
## Summary
Front Before:
<img width="1199" height="670" alt="image"
src="https://github.com/user-attachments/assets/b978f67c-c0a6-49fc-bedd-a443f11c365d"
/>
Front After:
<img width="1199" height="670" alt="image"
src="https://github.com/user-attachments/assets/a4939dbb-a8b4-4c74-978c-daa7f27d00f3"
/>
Server Before:
<img width="1199" height="670" alt="image"
src="https://github.com/user-attachments/assets/da53e97f-ec65-4224-a656-ca41040aef6e"
/>
Server After:
<img width="1199" height="670" alt="image"
src="https://github.com/user-attachments/assets/8cdf3885-f515-4d6c-989f-a421a4e8206c"
/>
### CI Server Pipeline Restructuring
- Split monolithic `server-setup` job into three parallel jobs:
`server-build`, `server-lint-typecheck`, and `server-validation`
- `server-build` only handles build + Nx cache save (~1m vs old 3.5m),
unblocking downstream jobs faster
- `server-lint-typecheck` runs in parallel with no DB dependency
- `server-validation` handles DB setup, migration checks, and GraphQL
generation checks in parallel with tests
- Make `server-test` (unit tests) fully independent — no longer waits
for server-setup, builds its own artifacts
- Increase integration test shards from 8 to 10 for better parallelism
- Expected critical path reduction: ~10m → ~7m (~30% faster)
### CI Front Pipeline Improvements
- Use artifact upload/download for storybook build instead of rebuilding
in test shards
- Serve pre-built storybook via `http-server` in test jobs, with
`STORYBOOK_URL` env var
- Update `vitest.config.ts` to use `storybookUrl` when `STORYBOOK_URL`
is set
- Remove redundant `twenty-shared`, `twenty-ui`, `twenty-sdk` builds
from storybook test shards
### Vite Build Optimizations
- Conditionally enable `rollup-plugin-visualizer` behind `ANALYZE=true`
env var (not loaded by default)
- Broaden Istanbul coverage exclusions to skip test files, stories,
mocks, and decorators
- Remove `@tabler/icons-react` alias from twenty-front and storybook
configs
- Bundle `@tabler/icons-react` into twenty-ui instead of treating it as
an external dependency
- Add lazy loading with `React.lazy` + `Suspense` for all page-level
route components in `useCreateAppRouter`
## Summary
- **Module reorganization**: Moved `ApplicationUpgradeService` and cron
jobs to `application-upgrade/`, `ApplicationSyncService` to
`application-manifest/`, and
`runWorkspaceMigration`/`uninstallApplication` mutations to the manifest
resolver — each module now has a single clear responsibility.
- **Explicit install flow**: Removed implicit `ApplicationEntity`
creation from `ApplicationSyncService`. The install service and dev
resolver now explicitly create the `ApplicationEntity` before syncing.
npm packages are resolved at registration time to extract manifest
metadata (universalIdentifier, name, description, etc.), eliminating the
`reconcileUniversalIdentifier` hack.
- **Better error handling**: Frontend hooks now surface actual server
error messages in snackbars instead of swallowing them. Replaced the
ugly `ConfirmationModal` for transfer ownership with a proper form
modal. Fixed `SettingsAdminTableCard` row height overflow and corrected
the `yarn-engine` asset path.
## Test plan
- [ ] Register an npm package — verify manifest metadata (name,
description, universalIdentifier) is extracted correctly
- [ ] Install a registered npm app on a workspace — verify
ApplicationEntity is created and sync succeeds
- [ ] Test `app:dev` CLI flow — verify local app registration and sync
work
- [ ] Upload a tarball — verify registration and install flow
- [ ] Transfer ownership — verify the new modal UX works
- [ ] Verify error messages appear correctly in snackbars when
operations fail
Made with [Cursor](https://cursor.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>
## PR Description
- Uses `expr-eval` to enable front components (SDK plugins) to define
conditional availability as declarative expressions.
- Moves shared types and constants to `twenty-shared`
- Introduces a `conditionalAvailabilityExpression` field on
`CommandMenuItemEntity`, allowing command menu items to store an
`expr-eval` compatible expression string that is evaluated against a
CommandMenuContext to determine if the item should be shown.
- Creates an esbuild transform plugin
`conditional-availability-transform-plugin` in `twenty-sdk` that
converts TypeScript conditional availability expressions into
`expr-eval` compatible syntax at build time, so SDK developers can write
natural TS expressions that get transformed to evaluable strings.
- Removes deprecated `forceRegisteredActionsByKey` state and its usage.
- Creates `useCommandMenuContext` hook that builds the full
`CommandMenuContext` object from React state, which is then passed to
`useCommandMenuItemFrontComponentActions` for evaluating conditional
availability expressions.
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