Major Changes:
- Replace Google ADK with PydanticAI framework for agent orchestration
- Implement OpenAI-compatible API endpoint for Ollama integration
- Fix streaming response to send deltas instead of cumulative text
- Add /chat/completions route alias for Open-WebUI compatibility
- Enable tool calling with 5 local tools (calculate, date/time utilities)
Architecture:
- Core-AI service: Standalone Python service with PydanticAI agent
- PydanticAI: Uses OpenAI-compatible Ollama API at /v1 endpoint
- Tool Registry: Shared tool system between core-ai and core-api
- Streaming: Fixed async context issues and delta calculation
Verified Working:
✅ Chat completion (streaming & non-streaming)
✅ Tool calling with mistral-nemo and mistral-tools models
✅ Open-WebUI integration via core-ai:8086
✅ 5 tools: calculate, get_current_time, get_current_date, calculate_date_difference, add_days_to_date
✅ Proper streaming deltas (no repetition)
Technical Details:
- PydanticAI 1.25.0+ with full Ollama support
- Async context manager issue resolved via chunk collection
- Delta calculation: chunk[len(previous):] to extract new content only
- Routes: /v1/chat/completions and /chat/completions (Open-WebUI compat)
🤖 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
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