Mark Henderson 4184baca77 feat(chat): expose Gemini's reasoning narration as a thinking pill
Today the chat shows ✓-icon tool trays with no narration between
calls — the user has no idea WHY the AI just called fs_edit or
ship. Meanwhile Gemini is producing 500-1000 chars of first-person
reasoning per round ("Updating the Express Server: A Quick
Production Deployment / Right, so we have a basic Express server
here, nothing fancy. I need to get a new version live...") and
billing us for those tokens — we just weren't asking for them.

Three layers:

1. lib/ai/gemini-chat.ts
   - generationConfig.thinkingConfig.includeThoughts = true (default
     true, opt-out via includeThoughts: false). We're already paying
     for thinking tokens regardless of this flag — it just controls
     whether the model returns the human-readable summary or only the
     compressed signature.
   - callGeminiChat now returns { text, thoughts, toolCalls,
     finishReason } and the parser splits parts by `part.thought`.
     CRITICAL bug avoided: previously `if (part.text) text += ...`
     would have lumped thoughts into the chat bubble verbatim.
   - streamGeminiChat yields `{ type: 'thinking' }` for thought parts.

2. app/api/chat/route.ts
   - New SSE event: `data: {"type":"thinking","text":"..."}`
   - Emitted on every round alongside text + tool_start.
   - Recovery-summary branch also emits thoughts so even when the
     model produces no user-facing prose, the user sees the model's
     reasoning instead of dead silence.

3. components/vibn-chat/chat-panel.tsx
   - Message gains optional `thoughts` field (in-memory only — we do
     NOT persist thoughts to fs_chat_messages; they're ephemeral and
     cheap to drop).
   - New ThinkingBubble component: dashed-border italic pill above
     the assistant bubble, collapsed by default to show one-line
     preview, click to expand for full chain. Strips Gemini's
     "**Section Heading**" prefixes from the preview.
   - SSE handler accumulates thinking chunks onto the in-flight
     assistant message.

UX impact: instead of staring at fs.read ✓ fs.edit ✓ ship ✓ icons,
the user sees "Examining the target server file..." → "Shipping the
twenty-crm project..." in real time. Costs zero additional tokens
(we already paid for the thoughts).

Cleanup: removed scripts/probe-gemini-raw.ts and
scripts/probe-recovery-summary.ts — diagnostic scripts that
identified this opportunity, no longer needed in-tree.

Made-with: Cursor
2026-04-28 15:24:49 -07:00
2026-02-15 19:25:52 -08:00
2026-02-15 19:25:52 -08:00
2026-02-15 19:25:52 -08:00
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VIBN Frontend

AI-Powered Development Platform - Track, manage, and deploy your AI-coded projects with ease.

🎨 Features

Built with Plane.so design patterns:

  • Resizable Sidebar - Collapsible sidebar with peek-on-hover
  • Dashboard Layout - Clean, modern interface following Plane's style
  • Overview Page - Project stats, recent activity, and getting started guide
  • Sessions - Track AI coding sessions with conversation history
  • Features - Plan and track product features
  • API Map - Auto-generated API endpoint documentation
  • Architecture - Living architecture docs and ADRs (Architectural Decision Records)
  • Analytics - Cost analysis, token usage, and performance metrics
  • Porter Integration - One-click deployment for AI-coded tools

🛠️ Tech Stack

  • Framework: Next.js 15 (App Router)
  • Language: TypeScript
  • Styling: Tailwind CSS
  • UI Components: shadcn/ui
  • Icons: Lucide React
  • Notifications: Sonner

🚀 Getting Started

Quick Start

# 1. Install dependencies
npm install

# 2. Setup environment variables (see SETUP.md for details)
cp .env.template .env.local
# Edit .env.local with your Firebase credentials

# 3. Start development server
npm run dev

Open http://localhost:3000

📖 For detailed setup instructions, see SETUP.md

Build

npm run build
npm start

📁 Project Structure

vibn-frontend/
├── app/
│   ├── (dashboard)/
│   │   └── [projectId]/
│   │       ├── layout.tsx          # Main dashboard layout
│   │       ├── overview/page.tsx   # Dashboard home
│   │       ├── sessions/page.tsx   # AI coding sessions
│   │       ├── features/page.tsx   # Feature planning
│   │       ├── api-map/page.tsx    # API documentation
│   │       ├── architecture/       # Architecture docs
│   │       └── analytics/page.tsx  # Cost & metrics
│   ├── layout.tsx                  # Root layout
│   └── page.tsx                    # Home redirect
├── components/
│   ├── sidebar/
│   │   ├── resizable-sidebar.tsx   # Resizable sidebar wrapper
│   │   └── project-sidebar.tsx     # Sidebar content
│   └── ui/                         # shadcn/ui components
└── lib/
    └── utils.ts                    # Utility functions

🎯 Routes

  • /[projectId]/overview - Project dashboard
  • /[projectId]/sessions - AI coding sessions
  • /[projectId]/features - Feature planning
  • /[projectId]/api-map - API endpoint map
  • /[projectId]/architecture - Architecture documentation
  • /[projectId]/analytics - Cost and metrics

📊 Components

Resizable Sidebar

Based on Plane's sidebar pattern:

  • Drag-to-resize (200px - 400px)
  • Collapse/expand button
  • Peek-on-hover when collapsed
  • Smooth transitions

Dashboard Pages

All pages follow consistent patterns:

  • Header with title and actions
  • Content area with cards
  • Responsive layout
  • Empty states with CTAs

🔄 Next Steps

  1. Connect to Database - Wire up PostgreSQL data
  2. Build API Routes - Create Next.js API routes for data fetching
  3. Real-time Updates - Add live session tracking
  4. Porter Integration - Implement deployment workflows
  5. Authentication - Add user auth and project management

🎨 Design System

Following Plane.so patterns:

  • Clean, minimal interface
  • Consistent spacing and typography
  • Subtle animations
  • Dark mode support (via Tailwind)
  • Accessible components (via shadcn/ui)

📝 Notes

  • Built for Porter hosting deployment
  • Designed for AI vibe-coded project management
  • Real data integration coming next
  • Backend API in /vibn-backend folder

Status: Frontend scaffolded and running Next: Connect to PostgreSQL database and build API layer

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