4.5 KiB
4.5 KiB
Project Status
Last Updated: 2025-11-20 Version: 0.7.1-gitea-deployment
Current Phase
Active Work: AI Orchestrator - Phase 2 (Memory Systems) Status: 🔄 IN PROGRESS
See PLANS.md for complete implementation roadmap and CHANGELOG.md for version history.
In Progress
Priority 1: Core-API Refactoring & Infrastructure Management
-
Code Cleanup: Restructure Core API into function-specific controller files
- Create
/controllersdirectory structure - Create
/clientsdirectory structure - Create
base.pycontroller base class - Add infrastructure settings to
config.py - Create credentials management system
- Update
main.pyrouting to include infrastructure controller - Separate AI Orchestrator logic into
ai_controller.py - Extract webscraper to
tools_controller.py - Create
health_controller.pyfor monitoring endpoints
- Create
-
Infrastructure Management Controller: Build automation API for service management
- Portainer Integration (HTTP client with access token)
- NPM Integration (HTTP client with JWT bearer token + auto-refresh)
- Read/List Endpoints (all implemented & tested)
- Write Endpoints (POST/PUT/DELETE all implemented & tested)
- Portainer API Token generated programmatically
- Uptime Kuma Integration (deferred - complex Socket.IO)
- Replace ad-hoc shell scripts in
/stackswith API endpoints - Add CLI wrapper for common operations
Priority 2: AI Orchestrator Phase 2 (Memory Systems)
- Implement Tier 1: ConversationBufferMemory (in-memory, last 10 turns)
- Implement Tier 2: ConversationSummaryMemory (SQLite summaries)
- Integrate Tier 3: VectorStoreRetrieverMemory (Qdrant semantic search)
- Create Qdrant collections (conversation_memory, documents, user_facts)
- Implement memory consolidation service
- Add conversation history API endpoints
- Test memory persistence across container restarts
Current Blockers
None - All core services deployed and operational.
Key Metrics
| Metric | Target | Current | Status |
|---|---|---|---|
| Containers Running | 15+ | 19 | 🟢 All Services Operational |
| GPU Accessible | Yes | Yes | 🟢 Working (RTX 2080 Ti) |
| Storage Used | <80% | 58% HDD (3.6TB/3.7TB) | 🟢 Healthy |
| Services Accessible | All | 19/19 | 🟢 Complete |
| Remote Access | Working | Ready | 🟢 Headscale + NPM |
| Firewall Active | Yes | Yes | 🟢 UFW Configured |
| Backups Configured | Yes | Yes | 🟢 Daily @ 3 AM |
| AI Orchestrator | Phase 6 | Phase 1 ✅ | 🟡 Phase 2 In Progress |
Quick Reference
Documentation
- Implementation Plans - Master plan tracker and roadmap
- Changelog - Version history
- Container Reference - All deployed services
- System Specifications - Hardware and software details
- Agent Guidelines - Development conventions
Key Paths
- SSD configs:
/home/jpmschweitzer/docker-data/ - HDD content:
/mnt/media/ - Stacks: Managed in Portainer web UI
- Scripts:
/mnt/media/Projects/portainer-core/scripts/
Active Services & URLs
Infrastructure:
- Portainer: http://192.168.86.149:8080 (container management)
- Nginx Proxy Manager: http://192.168.86.149:8000 (reverse proxy admin)
- Ollama: http://192.168.86.149:11434 (ML models API)
Networking:
- Headscale: http://192.168.86.149:8085 (mesh VPN control)
Monitoring:
- Uptime Kuma: http://192.168.86.149:3001 (service monitoring)
- Netdata: http://192.168.86.149:19999 (system metrics)
- Organizr: http://192.168.86.149:8084 OR https://home.schweitz.net (unified dashboard)
Applications:
- Open WebUI: http://192.168.86.149:8081 (LLM chat interface)
- Core API: http://192.168.86.149:8083 (infrastructure management & AI orchestration)
- Jellyfin: http://192.168.86.149:8096 OR https://media.schweitz.net (GPU media server)
- Nextcloud: http://192.168.86.149:8082 OR https://cloud.schweitz.net (cloud storage)
- Gitea: http://192.168.86.149:3002 OR https://git.schweitz.net (Git hosting, SSH: 2222)
- Samba: \\192.168.86.149 or \\tower-of-joy (file shares: Media, Downloads, Backups)
Background Services:
- Watchtower: Automatic updates daily @ 4 AM
- Maintenance: Automated backups daily @ 3 AM
For detailed implementation history and completed work, see CHANGELOG.md