Removed all AI/LLM functionality from core-api as it has been
migrated to the dedicated core-ai service.
Deleted:
- src/controllers/ai_controller.py (chat completions, models, conversations)
- src/agent/ (orchestrator, tools, prompts, streaming)
- src/memory/ (manager, qdrant, buffer, schemas)
- src/api/v1/ (chat, conversations, models, schemas)
- tests/test_memory_*.py (3 test files)
Removed dependencies:
- google-adk, litellm, google-cloud-aiplatform
- qdrant-client
Kept:
- tools_controller.py (web scraper for core-ai REST calls)
- infrastructure_controller.py
- health_controller.py
- static_controller.py
core-api is now purely for infrastructure management.
All AI operations are handled by core-ai service.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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
jpmschweitzer
