Major architectural changes and improvements: ## ADK Framework Migration (v0.10.0) - Migrated from LangChain/LangGraph to Google ADK 1.3.0 with LiteLLM 1.80.5 - Improved tool calling reliability with local Ollama models - Converted all 10 tools to ADK async generator format - Updated streaming pipeline for ADK event system - Enhanced error handling and agent initialization ## Model Optimization - Switched from gemma3:12b (10GB VRAM) to gemma3:4b (4.8GB VRAM) - Reduced VRAM usage from 91% to 43% (5.4GB freed) - Optimized for production stability with memory headroom ## Health Check System Overhaul - Optimized /health/full: 6ms response (was 30s+) - Added model verification: confirms configured model is available - New /health/diagnostics endpoint with optional deep testing - Added currently loaded models tracking - Clear emoji status indicators (✅/❌/⚠️) - Fixed AGENT_AVAILABLE flag export for proper health reporting ## Ollama Client Enhancements - Added list_models() method for model inventory - Enhanced model verification in health checks - Better error handling and reporting ## Documentation Updates - Updated STATUS.md to v0.10.0-adk-migration - Comprehensive CHANGELOG.md entry with migration details - Updated PLANS.md showing Phase 4 complete - Updated ai-orchestrator-plan.md with ADK status - Added MIGRATION_PLAN_LANGCHAIN_TO_ADK.md - Added ADK_Ollama_Research.md with implementation analysis ## Technical Details - 10 tools: 7 infrastructure + 2 research + 1 response tool - Framework: Google ADK with UnifiedAgent pattern - System prompt: v7_adk_best_practice - Container health: Now passing Docker healthchecks - Response times: Simple queries ~0.3-1s, Research ~4-7s
210 lines
10 KiB
Markdown
210 lines
10 KiB
Markdown
# Project Status
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> **Last Updated:** 2025-11-26
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> **Version:** 0.10.0-adk-migration
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## Current Phase
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**Active Work:** AI Infrastructure Optimization & System Hardening
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**Status:** ✅ **STABLE** - ADK Migration Complete, All Systems Operational
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See [PLANS.md](PLANS.md) for complete implementation roadmap and [CHANGELOG.md](CHANGELOG.md) for version history.
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## In Progress
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### Priority 1: Security & SSO Implementation (Authentik)
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- [x] **Milestone 1: Authentik Deployment**
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- [x] Deploy Authentik server and worker containers
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- [x] Configure shared PostgreSQL database (authentik_user, authentik database)
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- [x] Configure shared Redis (DB 0)
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- [x] Fix health checks (Python urllib instead of wget/curl)
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- [x] Create NPM proxy host for auth.schweitz.net
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- [x] Generate admin recovery key and set password
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- [x] Memory optimization: 563MB total (80-90% reduction vs previous attempt)
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- [x] **Milestone 2: Google OAuth Integration**
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- [x] Create Google OAuth credentials (Client ID/Secret)
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- [x] Configure Authentik Google source via API
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- [x] Configure identification stage to show social login
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- [x] Test Google OAuth login (successful)
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- [x] Verify user creation (jpmschweitzer@gmail.com - external type)
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- [x] **Milestone 3: Forward Auth for Organizr** ✅ COMPLETE (2025-11-21)
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- [x] Create Authentik Proxy Provider (Organizr Proxy) via API
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- [x] Create Authentik Application (Organizr) via API
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- [x] ~~Assign provider to embedded outpost~~ (embedded outpost failed)
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- [x] **Deploy standalone outpost container** (authentik-proxy on port 9443)
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- [x] Configure Redis connection for standalone outpost
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- [x] Verify outpost endpoints operational
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- [x] **Configure NPM forward auth for home.schweitz.net**
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- [x] Test SSO access to Organizr (Google OAuth login working)
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- [x] Verify no redirect loops
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- [x] Fix Organizr auto-login (moved headers to location / block)
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**Resolution:** Embedded outpost has version-specific issues in 2024.8.4. Deployed standalone `authentik-proxy` container successfully. Forward auth fully operational with Organizr auto-login working.
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**Standalone Outpost Details:**
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- Container: `authentik-proxy` (port 9445:9443)
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- Status: ✅ Healthy (websocket connected, ping endpoint responding)
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- Memory: ~150MB
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- Provider: Organizr Proxy (forward_single mode)
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- Token: `9blMGz71CFMJszs7AedQefgydpTnwvybjmMn0AlYilIKBV5LIq7snqnCodwX`
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**NPM Configuration:**
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- Applied to: home.schweitz.net (Organizr) ONLY
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- Forward auth: https://localhost:9445/outpost.goauthentik.io (NPM on host network)
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- WebSocket support: Enabled
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- Headers: X-authentik-username, X-authentik-email, X-authentik-groups, X-authentik-name, X-authentik-uid
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- Status: ✅ Fully operational, tested in incognito
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**Critical Fix:** Authentication headers must be set inside `location /` block, not at server level, for proper forwarding to backend applications.
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### Priority 2: Core-API Refactoring & Infrastructure Management ✅ COMPLETE
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- [x] **Code Cleanup:** Restructure Core API into function-specific controller files
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- [x] Create `/controllers` directory structure
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- [x] Create `/clients` directory structure
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- [x] Create `base.py` controller base class
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- [x] Add infrastructure settings to `config.py`
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- [x] Create credentials management system
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- [x] Update `main.py` routing to include infrastructure controller
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- [x] Separate AI Orchestrator logic into `ai_controller.py`
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- [x] Extract webscraper to `tools_controller.py`
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- [x] Create `health_controller.py` for monitoring endpoints
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- [x] **Infrastructure Management Controller:** Build automation API for service management
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- [x] Portainer Integration (HTTP client with access token)
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- [x] NPM Integration (HTTP client with JWT bearer token + auto-refresh)
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- [x] Read/List Endpoints (all implemented & tested)
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- [x] Write Endpoints (POST/PUT/DELETE all implemented & tested)
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- [x] Portainer API Token generated programmatically
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- [ ] Uptime Kuma Integration (deferred - complex Socket.IO)
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- [ ] Replace ad-hoc shell scripts in `/stacks` with API endpoints
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- [ ] Add CLI wrapper for common operations
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### Priority 3: AI Orchestrator Phase 2 (Memory Systems) ✅ COMPLETE
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- [x] Implement Tier 1: ConversationBufferMemory (in-memory, last 10 turns)
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- [x] Implement Tier 2/3: Unified Qdrant storage (persistent + semantic search)
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- [x] Create Qdrant collection (core_api_conversations with 768d nomic-embed-text)
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- [x] Implement auto-consolidation service (triggers at 10 turns)
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- [x] Add memory persistence across container restarts
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- [x] Implement dual-retrieval (buffer + Qdrant)
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- [x] **Phase 2.5: Multi-Tenancy** (user_id isolation with default "llm-testuser")
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**Implementation Details:**
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- **Tier 1 (Buffer):** In-memory storage for last 10 turns (< 1ms access)
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- **Tier 2/3 (Qdrant):** Unified persistent storage + semantic search (768d embeddings)
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- **Auto-Consolidation:** Automatically moves buffer → Qdrant at 10 turns
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- **Multi-Tenancy:** Single collection with user_id filtering (default: "llm-testuser")
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- **Embedding Model:** nomic-embed-text (768 dimensions, via Ollama)
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- **Memory Retrieval:** Dual-check buffer + Qdrant for cross-restart persistence
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- **Status:** 32 points stored, tested with multiple users, recall working after restarts
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### Priority 4: AI Orchestrator - Framework Migration ✅ COMPLETE (2025-11-26)
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- [x] **Phase 3:** Research Capabilities (DuckDuckGo, web scraping) - COMPLETE (2025-11-24)
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- [x] **Framework Migration:** LangChain/LangGraph → Google ADK - COMPLETE (2025-11-26)
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- [x] Migrate agent orchestrator to Google ADK with LiteLLM
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- [x] Convert all 9 tools to ADK async generator format
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- [x] Update streaming pipeline for ADK event format
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- [x] Switch model to gemma3:12b with ADK-optimized prompts
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- [x] Implement comprehensive agent health checks
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- [x] Update requirements.txt (remove langchain*, add google-adk)
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- [x] Production testing and validation
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**Current Implementation (as of 2025-11-26):**
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- **Framework:** Google ADK 1.3.0 with LiteLLM 1.80.5 (migrated from LangChain)
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- **Model:** gemma3:12b (upgraded from mistral:7b)
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- **System Prompt:** v7_adk_best_practice (optimized for ADK)
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- **Total Tool Count:** 9 tools (7 infrastructure + 2 research)
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- **Tools Format:** ADK async generators with proper streaming support
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- **Architecture:** UnifiedAgent with stateless sessions
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**Tools Available:**
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- **Infrastructure (7):** get_current_time, list_services, get_service_details, list_stacks, get_stack_details, list_npm_hosts, get_npm_host_details
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- **Research (2):** web_search (DuckDuckGo + auto-scrape), web_scrape (targeted extraction)
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**Migration Benefits Achieved:**
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- ✅ Improved tool calling reliability with Ollama models
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- ✅ Better streaming support with ADK event system
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- ✅ Model flexibility (works with Gemma, Mistral, Qwen families)
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- ✅ Cleaner architecture with unified agent pattern
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- ✅ Production-ready health monitoring
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**Performance Metrics (Post-Migration):**
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- **Simple queries:** ~0.3-1s response time
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- **Tool-using queries:** ~2-5s response time
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- **Research queries:** ~4-7s response time
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- **Tool calling success rate:** Monitoring in progress
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- **VRAM usage:** ~8GB with gemma3:12b
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**Optional Future Enhancements (deferred):**
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- Multi-agent routing patterns (Phase 4+)
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- Code specialist agent with codestral (Phase 4+)
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- Time-based memory consolidation
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- User filtering in Qdrant queries
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- User management API endpoints
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## Current Blockers
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**None** - SSO implementation complete for critical services. Remaining service rollout deferred in favor of other priorities.
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## Key Metrics
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| Metric | Target | Current | Status |
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|--------|--------|---------|--------|
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| **Containers Running** | 15+ | 22 | 🟢 All Services Operational |
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| **GPU Accessible** | Yes | Yes | 🟢 Working (RTX 2080 Ti) |
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| **Storage Used** | <80% | 58% HDD (3.6TB/3.7TB) | 🟢 Healthy |
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| **Services Accessible** | All | 21/21 | 🟢 Complete |
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| **Remote Access** | Working | Ready | 🟢 Headscale + NPM |
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| **Firewall Active** | Yes | Yes | 🟢 UFW Configured |
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| **Backups Configured** | Yes | Yes | 🟢 Daily @ 3 AM |
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| **AI Orchestrator** | Phase 6 | Phase 4 ✅ | 🟢 ADK Migration Complete |
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| **SSO (Authentik)** | Phase 5 | Core Complete ✅ | 🟢 Organizr + Core API Protected |
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## Quick Reference
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### Documentation
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- [Implementation Plans](PLANS.md) - Master plan tracker and roadmap
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- [Changelog](CHANGELOG.md) - Version history
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- [Container Reference](docs/reference/CONTAINERS.md) - All deployed services
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- [System Specifications](docs/reference/SYSTEM.md) - Hardware and software details
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- [Agent Guidelines](AGENTS.md) - Development conventions
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### Key Paths
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- **SSD configs:** `/home/jpmschweitzer/docker-data/`
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- **HDD content:** `/mnt/media/`
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- **Stacks:** Managed in Portainer web UI
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- **Scripts:** `/mnt/media/Projects/portainer-core/scripts/`
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### Active Services & URLs
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**Infrastructure:**
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- **Portainer:** http://192.168.86.149:8080 (container management)
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- **Nginx Proxy Manager:** http://192.168.86.149:8000 (reverse proxy admin)
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- **Authentik:** https://auth.schweitz.net (SSO identity provider - Google OAuth enabled)
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- **Ollama:** http://192.168.86.149:11434 (ML models API)
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**Networking:**
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- **Headscale:** http://192.168.86.149:8085 (mesh VPN control)
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**Monitoring:**
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- **Uptime Kuma:** http://192.168.86.149:3001 (service monitoring)
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- **Netdata:** http://192.168.86.149:19999 (system metrics)
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- **Organizr:** http://192.168.86.149:8084 OR https://home.schweitz.net (unified dashboard)
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**Applications:**
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- **Open WebUI:** http://192.168.86.149:8081 (LLM chat interface)
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- **Core API:** http://192.168.86.149:8083 (infrastructure management & AI orchestration)
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- **Jellyfin:** http://192.168.86.149:8096 OR https://media.schweitz.net (GPU media server)
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- **Nextcloud:** http://192.168.86.149:8082 OR https://cloud.schweitz.net (cloud storage)
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- **Gitea:** http://192.168.86.149:3002 OR https://git.schweitz.net (Git hosting, SSH: 2222)
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- **Samba:** \\\\192.168.86.149 or \\\\tower-of-joy (file shares: Media, Downloads, Backups)
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**Background Services:**
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- **Watchtower:** Automatic updates daily @ 4 AM
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- **Maintenance:** Automated backups daily @ 3 AM
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---
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*For detailed implementation history and completed work, see [CHANGELOG.md](CHANGELOG.md)*
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