## 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
- Re-enable one lint rule that was temporarily disabled during the
ESLint-to-Oxlint migration:
- **`twenty/sort-css-properties-alphabetically`** in twenty-front — 578
violations auto-fixed across 390 files
- Document why **`typescript/consistent-type-imports`** cannot be
auto-fixed in twenty-server: NestJS relies on `emitDecoratorMetadata`
for DI, so converting constructor parameter imports to `import type`
erases them at compile time and breaks dependency injection at runtime
- Right-size CI runners, reducing 8-core usage from 18 jobs to 3:
| Change | Jobs | Rationale |
|--------|------|-----------|
| **Keep 8-core** | `ci-merge-queue/e2e-test`,
`ci-front/front-sb-build`, `ci-front/front-build` | Heavy builds needing
max CPU + memory (10GB NODE_OPTIONS, full Storybook webpack bundling) |
| **8-core → 4-core** | `ci-server` (build, lint-typecheck, validation,
test, integration-test), `ci-front/front-sb-test`,
`ci-zapier/server-setup`, `ci-sdk/sdk-e2e-test` | Already sharded into
10-12 parallel instances, I/O-bound (DB/Redis), or moderate single
builds |
| **8-core → 2-core** | `ci-emails/emails-test` | Trivially lightweight
(build + curl health check) |
| **Removed** | `ci-front/front-chromatic-deployment` | Dead code —
permanently disabled with `if: false` |
- Fix merge queue CI issues:
- **Concurrency**: Use `merge_group.base_ref` instead of unique merge
group ref so new queue entries cancel previous runs
- **Required status checks**: Add `merge_group` trigger to all 6
required CI workflows (front, server, shared, website, docker-compose,
sdk) with `changed-files-check` auto-skipped for merge_group events —
status check jobs auto-pass without re-running full CI
- **Build caching**: Add Nx build cache restore/save to E2E test job
with fallback to `main` branch cache for faster frontend and server
builds
## Test plan
- [ ] CI passes on this PR (verifies lint rule auto-fix works)
- [ ] Verify 4-core runner jobs complete within their 30-minute timeouts
- [ ] Verify merge queue status checks auto-pass (ci-front-status-check,
ci-server-status-check, etc.)
- [ ] Verify merge queue E2E concurrency cancels previous runs when a
new PR enters the queue
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>
## Summary
Removes the `recoil` dependency entirely from `package.json` and
`twenty-front/package.json`, completing the migration to Jotai as the
sole state management library.
Removes all Recoil infrastructure: `RecoilRoot` wrapper from `App.tsx`
and test decorators, `RecoilDebugObserver`, Recoil-specific ESLint rules
(`use-getLoadable-and-getValue-to-get-atoms`,
`useRecoilCallback-has-dependency-array`), and legacy Recoil utility
hooks/types (`useRecoilComponentState`, `useRecoilComponentValue`,
`createComponentState`, `createFamilyState`, `getSnapshotValue`,
`cookieStorageEffect`, `localStorageEffect`, etc.).
Renames all `V2`-suffixed Jotai state files and types to their canonical
names (e.g., `ComponentStateV2` -> `ComponentState`,
`agentChatInputStateV2` -> `agentChatInputState`, `SelectorCallbacksV2`
-> `SelectorCallbacks`), and removes the now-redundant V1 counterparts.
Updates ~433 files across the codebase to use the renamed Jotai imports,
remove Recoil imports, and clean up test wrappers (`RecoilRootDecorator`
-> `JotaiRootDecorator`).
## 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>
⚠️ **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 the `lingui/no-unlocalized-strings` ESLint rule to detect
untranslated strings and fixes translation issues across multiple
components.
## Changes
### ESLint Configuration (`eslint.config.react.mjs`)
- Added comprehensive `ignore` patterns for non-translatable strings
(CSS values, HTML attributes, technical identifiers)
- Added `ignoreNames` for props that don't need translation (className,
data-*, aria-*, etc.)
- Added `ignoreFunctions` for console methods, URL APIs, and other
non-user-facing functions
- Disabled rule for debug files, storybook, and test files
### Components Fixed (~19 files)
- Object record components (field inputs, pickers, merge dialogs)
- Settings components (accounts, admin panel)
- Serverless function components
- Record table and title cell components
## Status
🚧 **Work in Progress** - ~124 files remaining to fix
This PR is being submitted as draft to allow progressive fixing of
remaining translation issues.
## Testing
- Run `npx eslint "src/**/*.tsx"` in `packages/twenty-front` to check
remaining issues
## 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
Félix Malfait