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Author SHA1 Message Date
jpmschweitzerandClaude 66f6e54fc3 refactor(core-ai): comprehensive cleanup - PydanticAI only architecture 
Remove all obsolete agent implementations and framework references.
Keep only PydanticAI (primary) and SimpleLiteLLM (fallback).

This cleanup eliminates confusion between multiple frameworks that were
tried during development (LangChain, LangGraph, ADK, OllamaNative) and
establishes PydanticAI as the single agent framework going forward.

BREAKING CHANGES:
- Removed OllamaNativeAgent - use PydanticAgent instead
- Removed /test/ollama-tools diagnostic endpoint
- Default /v1/chat/completions now uses PydanticAgent

Files Deleted (32 total):
- Obsolete agents: ollama_native_agent.py
- Diagnostic files: ARCHITECTURE.md, DIAGNOSTIC_RESULTS.md, PHASE*.md
- Legacy tools: src/tools.py
- Test files: test_ai_flow_quality.py, test_02/03 (diagnostic layers)
- Documentation: ADK_Ollama_Research.md, agent-flow-diagrams.md
- Session docs: 3 files with LangChain/LangGraph implementations
- Plans: 5 completed plans about obsolete frameworks
- Migration docs: MIGRATION_PLAN_LANGCHAIN_TO_ADK.md

Files Modified (8 total):
- main.py: Refactored to PydanticAI only (305 lines vs 457 before)
- agents/__init__.py: Removed OllamaNativeAgent exports
- README.md: Complete rewrite for PydanticAI architecture
- prompts.py: Updated for PydanticAI (infrastructure tool guidance)
- STATUS.md: Updated to v0.11.0-pydantic-ai
- CHANGELOG.md: Added v0.11.0 entry documenting cleanup
- plans/active/*.md: Updated to reference PydanticAI

Current Architecture:
- Framework: PydanticAI with native Ollama SDK
- Agents: PydanticAgent (primary) + SimpleLiteLLMAgent (fallback)
- Model: mistral-nemo:latest
- Tools: 6 core + 28+ OpenAPI-discovered
- Memory: 3-tier system with Qdrant
- VRAM: ~4-6GB

Lines Removed: ~3000+ lines of obsolete code

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
 2025-12-03 14:24:52 +01:00
jpmschweitzerandClaude 53267e1665 feat(ai): migrate from Google ADK to PydanticAI with working tool calling 
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>
 2025-11-30 10:31:14 +01:00