- Added thread-safe WebSocketManager with background thread isolation
- Implemented working gradio_app.py with real-time conversation streaming
- Solved async/sync conflicts through dedicated event loop architecture
- Complete Streamlit divorce: removed all legacy files and dependencies
- File consolidation: gradio_app_v2.py -> gradio_app.py as canonical version
- Updated documentation with AXIOM_WEBSOCKET_ARCHITECTURE.md for stable reference
- Cleaned CORS configuration to remove Streamlit origins
- Updated PROJECT_STATE.md to focus on Step 4 (Persona Selection)
Major breakthrough: Real-time AI-to-AI conversations now reliably display in browser
- Implement ConversationService for managing active AI conversations
- Add REST API endpoints for conversation control (/api/conversations/*)
- Integrate ConversationManager with WebSocket broadcasting
- Create comprehensive test script for end-to-end validation
- Update WebSocket client for Gradio compatibility (remove Streamlit deps)
- Switch frontend framework from Streamlit to Gradio in architecture
- Fix Python 3.9+ type hints compatibility
- Add prominent Quick Demo section to PROJECT_STATE.md
- Successfully tested full 3-terminal pipeline (Ollama + FastAPI + WebSocket)
Real-time AI-to-AI conversation streaming now fully operational.