- Create 5 widget wrappers for inline chat display:
* WhaleActivityWidget - Wraps WhaleActivityFeed for whale transaction display
* TradingSuggestionWidget - Wraps TradingSuggestionPanel for entry/exit suggestions
* PortfolioWidget - Wraps PortfolioPanel for portfolio tracking
* ChartCaptureWidget - Wraps ChartCapturePanel for chart screenshots
* ThreadGeneratorWidget - Wraps ThreadGeneratorPanel for Twitter threads
- Update widgets/index.ts to export new widgets with Epic grouping
- Update ChatMessages.tsx:
* Add 5 new widget types to MessageWidget union
* Import new widget components and their types
* Add renderWidget cases for all new widgets with proper callbacks
* Update component documentation to list all supported widgets
- Widget integration pattern:
* Widgets wrap panels in containers with consistent styling
* All widgets support callback props for user interactions
* Widgets can be embedded inline in assistant messages
* Widget actions are handled via onWidgetAction callback
Enables AI to display Epic 2, 3, 4 panels inline in chat conversations
- Add TokenAnalysisPanel.tsx for comprehensive token analysis
* AI-generated summary with buy/hold/sell/avoid recommendation
* Contract analysis (verified, renounced, proxy, source code)
* Holder distribution with top 10% concentration
* Liquidity analysis with LP lock status and duration
* Volume trends and trading activity metrics
* Price history (ATH/ATL, 7d/30d changes, volatility)
* Social sentiment analysis (Twitter, Telegram, Reddit)
- Add TradingSuggestionPanel.tsx for entry/exit suggestions
* Entry zone recommendations with reasoning
* Multiple take-profit targets (3 levels) with confidence scores
* Stop-loss suggestions with invalidation reasoning
* Risk/reward ratio calculation and assessment
* Technical analysis levels (support/resistance)
* AI reasoning and invalidation conditions
- Add PortfolioPanel.tsx for portfolio tracking
* Total portfolio value with 24h change
* Holdings list with current value and P&L tracking
* Performance analytics (best/worst performers, win rate)
* Quick actions per token (analyze, alert, view)
* Manual position entry support
- Add comprehensive mock data for all Epic 3 components
* MOCK_TOKEN_ANALYSIS with realistic metrics
* MOCK_TRADING_SUGGESTION with entry/exit levels
* MOCK_PORTFOLIO with 5 holdings and analytics
Implements Stories 3.1, 3.2, 3.3 from Epic 3: Trading Intelligence
- Removed all references to the Serper API from the codebase, including related components, hooks, and schemas.
- Updated the `pyproject.toml` to reflect the new version of `chonkie` and other dependencies.
- Cleaned up the configuration and connector management to streamline the application.
- Add sharp@0.33.5 override to support Node.js 22
- Add sharp as direct dependency
- Upgrade plasmo to 0.90.5
- Add Node.js version constraint (>=18.0.0 <23.0.0)
- Add pnpm version constraint (>=8.0.0)
This fixes the 'Cannot find module sharp-win32-x64.node' error
reported in issue #413 when building on Node.js v22.0.0
- Modified various FastAPI route definitions to remove trailing slashes for consistency across the application.
- Updated corresponding fetch calls in the frontend to align with the new endpoint structure.
- Ensured that all affected routes maintain their functionality without trailing slashes.
