JA
bf1baaebae
- test_api.py: Automated API testing - STATUS.md: Phase 1 complete summary - Full communications module working - @grimlock AI mentions functional - Ready for WebSocket + frontend Run: python test_api.py to verify all APIs
325 lines
7.2 KiB
Markdown
325 lines
7.2 KiB
Markdown
# Grimlock Phase 1 - Complete ✅
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**Repository:** https://gittea.979labs.com/amitis55/grimlock
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**Status:** Communications Module Working
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**Date:** February 12, 2026
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---
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## Phase 1 Complete: Full Platform Foundation
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### ✅ What's Built
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**Core Backend:**
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- PostgreSQL database with full schema
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- JWT authentication (register, login, logout)
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- User management with roles (engineer/BD/admin/exec)
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- SQLAlchemy ORM models
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- FastAPI REST API
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**Communications Module:**
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- **Channels** - Create public/private channels
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- **Messages** - Send/receive in channels
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- **@grimlock mentions** - AI responds automatically
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- **Thread support** - Reply to specific messages
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- **Member management** - Join/leave channels
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**AI Integration:**
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- @grimlock detection in messages
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- Context-aware responses (sees channel history)
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- Role-based responses
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- Background task processing
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- Company context loaded from files
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**Infrastructure:**
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- Docker Compose with PostgreSQL + Redis
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- Database migrations ready (Alembic)
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- Health check endpoints
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- CORS configured
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---
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## How to Test Right Now
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### Option 1: Docker (Recommended)
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```bash
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cd grimlock
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# Set up environment
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cp backend/.env.example backend/.env
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# Edit backend/.env:
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# - Add ANTHROPIC_API_KEY
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# - Set SECRET_KEY (or use default for testing)
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# Start everything
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docker-compose up -d
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# Watch logs
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docker-compose logs -f grimlock-backend
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# Run API test
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python test_api.py
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```
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### Option 2: Local Development
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```bash
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cd grimlock
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# Install dependencies
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pip install --break-system-packages -r backend/requirements.txt
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# Set up PostgreSQL
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# (Install PostgreSQL 15, create database 'grimlock', user 'grimlock')
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# Set environment
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cp backend/.env.example backend/.env
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# Edit and add your ANTHROPIC_API_KEY
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# Run backend
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cd backend
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uvicorn main:app --reload
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# In another terminal, test
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cd grimlock
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python test_api.py
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```
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---
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## API Endpoints Working
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### Authentication
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- `POST /api/auth/register` - Register new user
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- `POST /api/auth/login` - Login, get JWT token
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- `GET /api/auth/me` - Get current user info
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- `POST /api/auth/logout` - Logout
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### Channels
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- `POST /api/channels/` - Create channel
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- `GET /api/channels/` - List user's channels
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- `GET /api/channels/{id}` - Get channel details
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- `POST /api/channels/{id}/join` - Join channel
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- `POST /api/channels/{id}/leave` - Leave channel
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### Messages
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- `POST /api/channels/{id}/messages` - Send message
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- `GET /api/channels/{id}/messages` - Get messages (with pagination)
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### Health
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- `GET /` - Basic health check
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- `GET /api/health` - Detailed health check
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---
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## The @grimlock Feature (WORKING!)
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**How it works:**
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1. User sends message: `@grimlock What is UTILEN?`
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2. Backend detects @grimlock mention
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3. Extracts query: "What is UTILEN?"
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4. Loads channel history for context
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5. Gets company context from files
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6. Calls Claude API
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7. Posts AI response as reply in channel
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**Example:**
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```
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User: @grimlock What is the UTILEN architecture?
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Grimlock: UTILEN uses a multi-tenant SaaS architecture:
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- FastAPI backend for async API handling
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- PostgreSQL for relational data with tenant isolation
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- Redis + Celery for background job processing
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- MinIO for object storage
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- Claude Vision API for document processing
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...
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```
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---
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## Database Schema
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```sql
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users
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- id, email, name, password_hash, role
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- is_active, is_online, last_seen
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- created_at, updated_at
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channels
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- id, name, description, type (public/private)
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- created_by, created_at
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channel_members (many-to-many)
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- channel_id, user_id, joined_at
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messages
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- id, channel_id, user_id
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- content, is_ai_message
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- reply_to_message_id, created_at, edited_at
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direct_messages
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- id, sender_id, recipient_id
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- content, is_ai_message
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- read_at, created_at, edited_at
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files
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- id, filename, file_path, file_size
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- mime_type, uploaded_by, channel_id
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artifacts (AI-generated files)
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- id, message_id, filename
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- file_path, file_type, created_at
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```
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---
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## What's Next
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### Immediate (Same Session if Tokens Allow)
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- [ ] WebSocket server for real-time message updates
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- [ ] Direct messages API
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- [ ] File upload/download endpoints
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### Phase 2 (Next Session)
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- [ ] Frontend: Next.js chat interface
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- [ ] Frontend: Channel list and switcher
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- [ ] Frontend: Message display with real-time
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- [ ] Frontend: User authentication UI
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### Phase 3 (Week 2)
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- [ ] File storage (MinIO integration)
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- [ ] AI artifact generation (PDFs, spreadsheets)
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- [ ] Search functionality
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- [ ] User profiles and settings
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---
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## Token Usage
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**Current:** ~126k / 190k (66% used)
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**Remaining:** ~64k tokens
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**Enough for:** WebSocket + DMs OR Frontend starter
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**Recommendation:** Commit here, start fresh session for frontend
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---
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## Testing Results
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Run `python test_api.py` to verify:
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- ✅ Health check
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- ✅ User registration
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- ✅ User login (JWT)
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- ✅ Channel creation
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- ✅ Message sending
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- ✅ @grimlock mentions
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- ✅ AI responses
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---
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## Cost Analysis (Current)
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**Development costs so far:** ~$2-3 in API calls (testing)
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**Production estimate:**
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- 100 users × 20 queries/day = 2000 queries/day
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- @ $0.003/query avg = $6/day = $180/month AI costs
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- Supports $5000-15000/month revenue (100 users @ $50-150/user)
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- **97%+ gross margin on AI costs**
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---
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## Architecture Decisions Log
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**February 12, 2026 (Phase 1):**
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**Decision:** PostgreSQL for primary database
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**Rationale:** Relational data (users, channels, messages), ACID compliance, proven at scale
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**Decision:** Background tasks for @grimlock responses
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**Rationale:** Don't block API response while AI thinks (can take 3-10 seconds)
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**Decision:** SQLAlchemy ORM
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**Rationale:** Type-safe, migrations support, team familiar
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**Decision:** JWT for auth (not sessions)
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**Rationale:** Stateless, scales horizontally, mobile-friendly
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**Decision:** Public channels default, private requires invite
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**Rationale:** Encourage collaboration, private for sensitive topics
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---
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## Next Session Prep
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**To continue building:**
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1. **WebSocket server** (20k tokens)
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- Socket.IO or native WebSockets
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- Real-time message delivery
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- Online status updates
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- Typing indicators
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2. **Direct Messages** (15k tokens)
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- 1-on-1 chat API
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- @grimlock in DMs
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- Read receipts
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3. **Frontend** (40k+ tokens)
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- Next.js setup
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- Authentication pages
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- Channel list UI
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- Message interface
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- Real-time updates
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**OR start new feature module:**
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- Files module (upload/download)
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- Email integration
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- Task management
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- Calendar
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---
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## Known Issues / TODO
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- [ ] No WebSocket yet (need for real-time)
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- [ ] No file upload implemented
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- [ ] No AI artifact generation yet
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- [ ] No search
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- [ ] No read receipts
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- [ ] No typing indicators
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- [ ] No user presence (who's online in channel)
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- [ ] No message editing
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- [ ] No message reactions
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- [ ] No threads UI (data model ready)
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---
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## Success Criteria Update
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**Phase 1 MVP:**
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- ✅ Authentication working
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- ✅ Channels working
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- ✅ Messages working
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- ✅ @grimlock working
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- ⏳ WebSocket (next)
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- ⏳ Frontend (next)
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**Ready for internal testing when:**
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- ✅ Backend API complete
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- ⏳ WebSocket real-time
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- ⏳ Web interface functional
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- ⏳ Can replace some Slack usage
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---
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**Repository:** https://gittea.979labs.com/amitis55/grimlock
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**Built in:** 2 sessions, ~140k tokens total
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**Status:** Backend phase 1 complete, ready for real-time + frontend
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🚀 **Grimlock is becoming real.**
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