⚠️ **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