feat(ai): complete ADK migration and optimize system health checks
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
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# Project Status
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> **Last Updated:** 2025-11-23
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> **Version:** 0.8.2-authentik-api-protection
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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:** Security & SSO Implementation (Authentik Deployment)
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**Status:** 🔄 **IN PROGRESS** - 2 Services Protected (Organizr + Core API)
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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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- [ ] 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) - DEFERRED
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- [ ] Implement Tier 1: ConversationBufferMemory (in-memory, last 10 turns)
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- [ ] Implement Tier 2: ConversationSummaryMemory (SQLite summaries)
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- [ ] Integrate Tier 3: VectorStoreRetrieverMemory (Qdrant semantic search)
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- [ ] Create Qdrant collections (conversation_memory, documents, user_facts)
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- [ ] Implement memory consolidation service
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- [ ] Add conversation history API endpoints
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- [ ] Test memory persistence across container restarts
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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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@@ -105,7 +158,7 @@ See [PLANS.md](PLANS.md) for complete implementation roadmap and [CHANGELOG.md](
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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 1 ✅ | 🟡 Phase 2 Deferred |
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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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