Fix/memory celery fix (#168)

* refactor(celery): optimize task routing and worker configuration

- Simplify Celery queue configuration with single default 'io_tasks' queue
- Implement task routing strategy separating IO-bound and CPU-bound tasks
- Add Flower monitoring support with task event tracking enabled
- Add summary node search optimization to only retrieve summary nodes
- Clean up unused imports and reorganize import statements for consistency
- Update docker-compose configuration to support multi-queue worker setup

* chore(celery): simplify flower configuration and add gevent dependency

* chore(dependencies): add gevent dependency to requirements

- Add gevent==24.11.1 to api/requirements.txt
- Gevent is required for async worker support in Celery
- Complements existing flower and celery configuration

* refactor(celery): simplify async event loop handling and reorganize task queues

- Replace complex nest_asyncio and manual event loop management with asyncio.run() in read_message_task, write_message_task, regenerate_memory_cache, and workspace_reflection_task
- Rename task queues from io_tasks/cpu_tasks to memory_tasks/document_tasks for better semantic clarity
- Update task routing configuration to reflect new queue names for memory agent tasks and document processing tasks
- Remove redundant exception handling comments and simplify error handling logic
- Update README with improved community support section including GitHub Issues, Pull Requests, Discussions, and WeChat community links
- Simplifies event loop management by leveraging asyncio.run() which handles loop creation and cleanup automatically, reducing code complexity and potential race conditions

api/app/core/memory/agent/langgraph_graph/nodes/summary_nodes.py

@@ -4,12 +4,11 @@ import os
 import time
 
 from app.core.logging_config import get_agent_logger, log_time
-from app.db import get_db
-
 from app.core.memory.agent.models.summary_models import (
     RetrieveSummaryResponse,
     SummaryResponse,
 )
+from app.core.memory.agent.services.optimized_llm_service import LLMServiceMixin
 from app.core.memory.agent.services.search_service import SearchService
 from app.core.memory.agent.utils.llm_tools import (
     PROJECT_ROOT_,
@@ -18,7 +17,7 @@ from app.core.memory.agent.utils.llm_tools import (
 from app.core.memory.agent.utils.redis_tool import store
 from app.core.memory.agent.utils.session_tools import SessionService
 from app.core.memory.agent.utils.template_tools import TemplateService
-from app.core.memory.agent.services.optimized_llm_service import LLMServiceMixin
+from app.db import get_db
 
 template_root = os.path.join(PROJECT_ROOT_, 'agent', 'utils', 'prompt')
 logger = get_agent_logger(__name__)
@@ -182,7 +181,8 @@ async def Input_Summary(state: ReadState) -> ReadState:
     search_params = {
         "group_id": group_id,
         "question": data,
-        "return_raw_results": True
+        "return_raw_results": True,
+        "include": ["summaries"]  # Only search summary nodes for faster performance
     }
 
     try: