* 去掉MCP框架，重构
* 去掉MCP框架，重构
* 去掉MCP框架，重构
* 去掉MCP框架，重构
* 去掉MCP框架，重构
* 去掉MCP框架，重构
* 去掉MCP框架，重构
* feat(celery): add comprehensive logging to worker and write task
- Initialize logging system in Celery worker entry point with LoggingConfig
- Add logger instance and startup message to celery_worker.py
- Reorganize imports in tasks.py for better readability and consistency
- Add detailed logging to write_message_task for debugging and monitoring
- Log task start with group_id, config_id, and storage_type parameters
- Log service execution and completion status with results
- Add exception handling with error logging and stack trace capture
- Log task completion time and Celery task ID for performance tracking
- Improves observability and troubleshooting of async task execution
* 去掉MCP框架，重构
* 去掉MCP框架，重构
---------
Co-authored-by: Ke Sun <kesun5@illinois.edu>
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [changes]Modify the code based on the AI review
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Implicit memory cache
* [changes]Modify the code based on the AI review
* [changes]Modify the generated emotion cache to be "end_user_id"
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the code based on the AI review
* [feature]Emotional memory cache
* [changes]Modify the code based on the AI review
* [changes]Modify the generated emotion cache to be "end_user_id"
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [changes]Modify the code based on the AI review
* [feature]Emotional memory cache
* [feature]Implicit memory cache
* [changes]Modify the expiration time of implicit memory to 24 hours.
* [feature]Implicit memory cache
* [changes]Modify the code based on the AI review
* [fix]Correct the display sequence of memory increments
* [fix]Correct the display sequence of memory increments
* [changes]Modify the code based on the AI review
* [feature]Generate emotions, implicit cache
* [feature]Generate emotions, implicit cache
* [changes]Improve the code based on AI review
* [changes]Improve the code based on AI review
* [changes]Improve the code
* [feature]Generate emotions, implicit cache
* [changes]Improve the code based on AI review
* [changes]Improve the code
* [fix]The repair model does not allow null values and does not support relational networks.
* [fix]The repair model does not allow null values and does not support relational networks.
* [changes]Restore field restrictions
- Remove template_service extraction and template rendering logic
- Remove LLM client initialization from MemoryClientFactory
- Remove structured response call to LLM with RetrieveSummaryResponse model
- Replace LLM-based answer generation with direct retrieval information
- Simplify response to use raw retrieved info or default fallback message
- Update logging to reflect non-LLM quick answer approach
- Reduce unnecessary dependencies and improve performance by eliminating LLM call overhead
* [refactor]Reconstructing forgotten, emotional, situational, and explicit memory statistics
* [refactor]Reconstructing forgotten, emotional, situational, and explicit memory statistics
* [changes]Improve the code based on AI review
* [changes]Statistics on work, perception, short-term, and implicit memory
* [changes]Statistics on work, perception, short-term, and implicit memory
* [changes]Replace the invisible memory calculation method
* [changes]Statistics on work, perception, short-term, and implicit memory
* [refactor]Reconstructing forgotten, emotional, situational, and explicit memory statistics
* [changes]Statistics on work, perception, short-term, and implicit memory
* [changes]Replace the invisible memory calculation method
- Add [PERF] prefixed logging throughout hybrid search pipeline for better performance visibility
- Break down latency metrics with separate timing for config loading, embedder initialization, and rerank computation
- Format latency breakdown as JSON in performance summary logs
- Optimize batch_record_access to process node access records in parallel using asyncio.gather instead of sequential processing
- Add performance timing instrumentation for forgetting config loading and rerank computation stages
- Reorganize imports in access_history_manager for consistency
- Improve observability of search performance bottlenecks through structured logging
