## Context
The REST pipeline re-fetches/sets the metadata version later in
RestApiBaseHandler#getObjectMetadata by reading from DB and seeding the
cache if it’s missing. That’s the place that actually needs it and
already handles the “undefined” case.
This also mirror the graphql path that was updated 3 weeks ago
Fixes Issue: #15797
This PR adds a configurable click behavior setting for Phone, Email, and
Links field types, allowing users to customize what happens when
clicking on these fields.
A new option (**Click Behaviour**) to configure the default behaviour
for onClick of data is added in the settings page (Settings → Data Model
→ Object → Field Edit) for Phone, Email and Links data types.
Users can now choose between two actions:
- **Copy to clipboard**: Copies the value to clipboard with a success
toast message
- **Open as link**: Opens the value as a link (tel:, mailto:, or
http/https)
The default behaviour is persisted for all these three types(phone- Copy
to clipboard, email & links: open link) to maintain backward
compatibility.
**Screenshots :**
<img width="2084" height="1736" alt="image"
src="https://github.com/user-attachments/assets/eb5d129c-e3e0-4334-b426-eb38d8a4840c"
/>
<img width="1474" height="1428" alt="image"
src="https://github.com/user-attachments/assets/487f4e44-6151-4254-bc5c-5398be5fc087"
/>
<img width="1594" height="1398" alt="image"
src="https://github.com/user-attachments/assets/abdbc213-7223-4d57-809e-4d55c90cda80"
/>
---------
Co-authored-by: Etienne <45695613+etiennejouan@users.noreply.github.com>
## 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
- Implements real tools for the dashboard-building skill to create and
manage dashboards through the AI chat interface
- Adds 6 new dashboard tools: `create_complete_dashboard`,
`list_dashboards`, `get_dashboard`, `add_dashboard_widget`,
`update_dashboard_widget`, `delete_dashboard_widget`
- Improves widget configuration robustness with typed Zod schemas and
discriminated unions for graph types
## Key Changes
**New Dashboard Tools:**
- `create_complete_dashboard` - Creates a dashboard with layout, tab,
and widgets in a single call
- `list_dashboards` - Lists all dashboards in the workspace
- `get_dashboard` - Gets full dashboard details including tabs and
widget configurations
- `add_dashboard_widget` - Adds a widget to an existing dashboard tab
- `update_dashboard_widget` - Updates widget properties or configuration
- `delete_dashboard_widget` - Removes a widget from a dashboard
**Widget Configuration Improvements:**
- Typed Zod schemas for each chart type (AGGREGATE, BAR, LINE, PIE)
- Discriminated union validation based on `graphType`
- Widget-level error handling for partial success when creating
dashboards
- Clear documentation about required `objectMetadataId` and field UUIDs
**Skill Documentation Updates:**
- Updated `dashboard-building.skill.ts` with critical guidance about
looking up field metadata first
- Added workflow instructions: use `list_object_metadata_items` before
creating GRAPH widgets
- Practical grid layout recommendations
## Test plan
- [ ] Create a new dashboard via AI chat
- [ ] Verify widgets display data correctly when proper field IDs are
provided
- [ ] Test adding/updating/deleting widgets on existing dashboards
- [ ] Verify error messages are helpful when configuration is incorrect
## Summary
- Replace the agent search mechanism with a new skills-based system
- Add a `skills` module with predefined skill definitions that the AI
can load on demand
- Remove specialized agents (workflow-builder, data-manipulator,
dashboard-builder, metadata-builder, researcher), keeping only the
helper agent
- Add `recordReferences` to workflow creation tool for chip linking in
the UI
## Changes
### New Skills Module
- `skill-definitions.ts` - Contains 5 skill definitions with detailed
instructions
- `skills.service.ts` - Service to get skills by name
- `load-skill.tool.ts` - Tool for AI to load skills explicitly
### Removed
- `agent-search.tool.ts` - Replaced by skill loading
- Specialized agent definitions (converted to skills)
### Updated
- Chat execution now shows skill catalog in system prompt
- Workflow creation returns `recordReferences` for UI linking
## Test plan
- [ ] Verify AI can load skills using `load_skill` tool
- [ ] Verify skill content is returned correctly
- [ ] Verify workflow creation shows clickable chip in chat
- [ ] Verify helper agent still works
## Summary
- Add latest AI models from OpenAI (GPT-4.1, o3, o4-mini), Anthropic
(Claude 4.5 Opus/Sonnet/Haiku), and xAI (Grok 4.1)
- Mark deprecated models (GPT-4o, GPT-4o-mini, GPT-4-turbo, Claude Opus
4, Claude Sonnet 4) with a `deprecated` flag
- Split AI models into separate files per provider for better
maintainability
- Support comma-separated default model lists for automatic fallback
across providers (works out of the box for self-hosters regardless of
which provider they configure)
- Filter deprecated models from dropdown selection while keeping them
functional for existing agents
## Changes
### New Models Added
| Provider | Models |
|----------|--------|
| OpenAI | gpt-4.1, gpt-4.1-mini, o3, o4-mini |
| Anthropic | claude-opus-4-5, claude-sonnet-4-5, claude-haiku-4-5 |
| xAI | grok-4-1-fast-reasoning |
### Deprecated Models
- gpt-4o, gpt-4o-mini, gpt-4-turbo (OpenAI)
- claude-opus-4-20250514, claude-sonnet-4-20250514 (Anthropic)
### Config Changes
Default model configs now support comma-separated fallback lists:
-
`DEFAULT_AI_SPEED_MODEL_ID=gpt-4.1-mini,claude-haiku-4-5-20251001,grok-3-mini`
-
`DEFAULT_AI_PERFORMANCE_MODEL_ID=gpt-4.1,claude-sonnet-4-5-20250929,grok-4`
## Test plan
- [x] Unit tests pass
- [x] Typecheck passes
- [x] Lint passes
- [ ] Verify deprecated models don't appear in model dropdowns
- [ ] Verify agents with deprecated models still work correctly
- [ ] Verify default model fallback works when only one provider is
configured
## Summary
Adds a new **VIEW** tool category for the AI chat, enabling it to work
with views:
- **get-views**: List views in the workspace, optionally filtered by
object metadata ID
- **get-view-query-parameters**: Convert a view's filters and sorts into
GraphQL query parameters that can be passed to existing `find_*` data
tools
- **create-view**, **update-view**, **delete-view**: CRUD operations for
view management
### Key design decisions
1. **No pagination duplication**: Instead of creating a
`find-records-from-view` tool that would duplicate pagination logic,
`get-view-query-parameters` returns filter/sort parameters that the AI
can pass to existing record-fetching tools.
2. **Permission model**:
- Read tools (get-views, get-view-query-parameters) are available to all
users
- Write tools require the `VIEW` permission
- UNLISTED views can only be modified by their creator
3. **Leverages existing utilities**: Uses
`computeRecordGqlOperationFilter` from `twenty-shared` for filter
conversion.
### Files changed
- Added `ViewToolProvider`, `ViewToolsFactory`, and
`ViewQueryParamsService`
- Added `VIEW` to `ToolCategory` enum and tool registry
- Updated `chat-execution.service.ts` to include view tools in the
catalog and pass viewId in browsing context
- Extracted shared `formatValidationErrors` utility to reduce
duplication
## Test plan
- [x] Unit tests for `ViewToolsFactory`
- [x] Unit tests for `ViewQueryParamsService`
- [x] Lint and typecheck pass
# Introduction
Related https://github.com/twentyhq/core-team-issues/issues/1910
From now on the upgrade won't integrate any sync metadata as it's going
to be deprecated very soon
Any updates to about to removes workspace-entity or standard flat entity
will require a dedicated upgrade command, what we've already started
doing during the 1.13 sprint, until we have totally migrated the v2 to
be workspace agnostic
# TimelineActivity migration to morph
- Creates `timelineActivities2` relations on Company, Dashboard, Note,
Opportunity, Person, Task, Workflow, WorkflowRun, and WorkflowVersion
entities with proper metadata and cascade delete behavior.
It was required to create standard fields as well since the
mapObjectMetadataByUniqueIdentifier needs it. otherwise the fields won't
be considered
- Feature Flag `IS_TIMELINE_ACTIVITY_MIGRATED` necessary to have the two
states in parallel. It is used as a stamp once the migration has been
run
- Migration is done using the coreDataSource. Why ?
even though is unsafe to use, the first implementation of the migration
took forever on each workspace. See [this
commit](https://github.com/twentyhq/twenty/pull/15652/commits/477011e8d7d4c580f79ba7ec4a8fb002a3ec86b2)
The plan for this complex migration is as follows :
Note: we will need to rename fields in the release 1.12 (there is no
easy way to do all this in one release)
## Summary
- Add `BrowsingContext` type to automatically pass what the user is
currently viewing (recordPage or listView) to the AI chat
- Simplify context architecture: remove toggleable context UI, make it
automatic and invisible to the user
- Fix tool loading: add `unionOf` handling in
`getDatabaseToolsForObject` and fix regex ordering so `find_one_*` tools
are properly registered
- Use plural names for find tools (`find_people` vs `find_one_person`)
for better semantics
- Clean up unused components and states
## Changes
### Frontend
- New `BrowsingContext` type and `useGetBrowsingContext` hook to gather
context from Recoil state
- Simplified `useAgentChat` to use the new browsing context
- Removed toggleable context UI components
(`AgentChatContextRecordPreview`, `SendMessageWithRecordsContextButton`,
etc.)
- Removed `isAgentChatCurrentContextActiveState`
### Backend
- New `BrowsingContextType` for recordPage and listView contexts
- Updated `ChatExecutionService` to build context from browsing context
- Fixed `tool-registry.service.ts`:
- Added `unionOf` handling in permission config
- Fixed regex ordering (`find_one` before `find`) so tools load
correctly
- Use plural names for search tools (`find_people` instead of
`find_person`)
## Test plan
- [x] Typecheck passes
- [x] Lint passes
- [ ] Test AI chat on record page - should show context in system prompt
- [ ] Test AI chat on list view - should show view name and filters
- [ ] Test `find_one_*` tools now load correctly
- [ ] Test `find_*` tools use plural naming
The current repository implementation require the caller to pass the
permissionConfig which is not the case in messaging and calendar custom
resolver. We are bypassing the permission as fetching the role in the
caller will likely not be needed anymore in the new datasource / orm
implementation
## Context
Following https://github.com/twentyhq/twenty/pull/16399
Now using the new global orm manager everywhere and returning a
GlobalDatasource/WorkspaceDatasource based on a feature flag.
This means we now need to wrap all our ORM calls within
executeInWorkspaceContext callback (at least for now) so the global
datasource can dynamically hydrate its context via the new store (the
global datasource does not store anything related to workspaces as it is
now a unique singleton). If feature flag is off it still uses local data
stored in the workspace datasource.
This PR fixes https://github.com/twentyhq/twenty/issues/16165.
The bug was due to a wrong initialization of a record filter, which was
using another object metadata item than the filtered one.
As we can see in the original issue :
```
...
"fieldMetadataId": "f12697bf-1eba-4061-bdd4-3e8a81172b79"
...
"fieldMetadataId": "658c531c-0c2e-43a1-8f70-4d6266c3841f",
...
```
The fix was to update the hook that returned the default field metadata
item to use for a new filter, and force the caller to tell which object
metadata item to use.
