- Add workspace_id fallback parameter to memory config loading across all services - Update hot_memory_tags.py to pass workspace_id when resolving memory configuration - Enhance emotion_analytics_service.py to support workspace_id as fallback for config resolution - Improve implicit_memory_service.py with workspace_id fallback in config loading - Update memory_agent_service.py to handle workspace_id resolution and add refactoring TODO - Enhance preference_analysis.jinja2 prompt with critical guidance on supporting_evidence extraction - Add validation to check both config_id and workspace_id before raising configuration errors - Improve error handling and logging for memory configuration resolution across services - This enables more flexible memory configuration resolution when config_id is unavailable
34 KiB
34 KiB