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feat(ai): complete ADK migration and optimize system health checks

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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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jpmschweitzer
2025-11-26 08:36:50 +01:00
parent bfc58b03ba
commit e3b451b7b0
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PLANS.md
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@@ -8,19 +8,41 @@ Current implementation work in progress:
### AI Orchestrator Enhancement
**Location**: [plans/active/ai-orchestrator-plan.md](plans/active/ai-orchestrator-plan.md)
**Status**: 🔄 Phase 2 in progress
**Status**: ✅ Phase 4 Complete - ADK Migration Successful
**Phases**:
- ✅ Phase 1: OpenAI-Compatible API (Completed)
- 🔄 Phase 2: Memory Systems (In Progress)
- 📋 Phase 3: Multi-Model Management (Planned)
- 📋 Phase 4: Reasoning & Chain-of-Thought (Planned)
- 📋 Phase 5: Agentic Workflows (Planned)
- 📋 Phase 6: Production Optimization (Planned)
- ✅ Phase 1: OpenAI-Compatible API (Completed 2025-11-13)
- ✅ Phase 2: Memory Systems (Completed 2025-11-23)
- ✅ Phase 3: Research Capabilities (Completed 2025-11-24)
- ✅ Phase 4: Framework Migration - LangChain → Google ADK (Completed 2025-11-26)
- 📋 Phase 5: Multi-Agent Patterns (Future)
- 📋 Phase 6: Production Hardening & RAG Optimization (Future)
**Framework Migration Completed (2025-11-26)** ✅:
- ✅ Migrated from LangChain/LangGraph to Google ADK 1.3.0
- ✅ Integrated LiteLLM 1.80.5 for Ollama compatibility
- ✅ Converted all 9 tools to ADK async generator format
- ✅ Upgraded model: mistral:7b → gemma3:12b
- ✅ Optimized system prompt: v7_adk_best_practice
- ✅ Enhanced agent health monitoring
- ✅ Production testing and validation
**Migration Benefits Achieved**:
- Improved tool calling reliability with Ollama models
- Better streaming support with ADK event system
- Model flexibility (Gemma, Mistral, Qwen families supported)
- Cleaner, more maintainable architecture
- Production-ready health monitoring
**Current Implementation**:
- Framework: Google ADK 1.3.0 with LiteLLM
- Model: gemma3:12b (~8GB VRAM)
- Tools: 9 total (7 infrastructure + 2 research)
- Performance: Simple queries ~0.3-1s, Research ~4-7s
### Memory Architecture
**Location**: [plans/active/phase2-memory-architecture.md](plans/active/phase2-memory-architecture.md)
**Status**: 🔄 In Progress
**Description**: 3-tier memory system (ephemeral, short-term, long-term) for AI agents
**Location**: [plans/completed/phase2-memory-system-complete.md](plans/completed/phase2-memory-system-complete.md)
**Status**: ✅ Completed 2025-11-23
**Description**: 3-tier memory system (buffer, Qdrant persistent + semantic) with multi-tenancy
### Security Implementation
**Location**: [plans/active/security-implementation-plan.md](plans/active/security-implementation-plan.md)
@@ -51,6 +73,21 @@ Historical implementation plans that have been finished:
**Location**: [plans/completed/ai-orchestrator-phase1-tests.md](plans/completed/ai-orchestrator-phase1-tests.md)
**Results**: 10/10 tests passed, zero issues found
### AI Orchestrator Phase 2 (Memory System)
**Location**: [plans/completed/phase2-memory-system-complete.md](plans/completed/phase2-memory-system-complete.md)
**Completed**: 2025-11-23
**Deliverables**: 3-tier memory (buffer + Qdrant), multi-tenancy, auto-consolidation
### AI Orchestrator Phase 3 (Research Capabilities)
**Location**: [plans/completed/phase3-multi-agent-workflows-complete.md](plans/completed/phase3-multi-agent-workflows-complete.md)
**Completed**: 2025-11-24
**Deliverables**: Web search (DuckDuckGo), content scraping, research detection, 100% test success
### AI Orchestrator Phase 4 (Framework Migration)
**Location**: [MIGRATION_PLAN_LANGCHAIN_TO_ADK.md](MIGRATION_PLAN_LANGCHAIN_TO_ADK.md)
**Completed**: 2025-11-26
**Deliverables**: Google ADK 1.3.0 with LiteLLM, 9 tools migrated, gemma3:12b model, improved reliability
### Architecture Research
**Location**: [plans/completed/architecture-research.md](plans/completed/architecture-research.md)
**Completed**: October 2025