Merge branch 'refs/heads/fix/memory_mcp2_1' into develop

# Conflicts:
#	api/app/core/memory/agent/langgraph_graph/nodes/problem_nodes.py
#	api/app/core/memory/agent/langgraph_graph/nodes/summary_nodes.py
#	api/app/core/memory/agent/langgraph_graph/nodes/verification_nodes.py
#	api/app/core/memory/agent/langgraph_graph/read_graph.py
#	api/app/core/memory/agent/langgraph_graph/routing/routers.py
#	api/app/core/memory/agent/models/verification_models.py
#	api/app/core/memory/agent/services/optimized_llm_service.py

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

@@ -1,4 +1,3 @@
-import os
 import json
 import time
 from app.core.logging_config import get_agent_logger
@@ -14,7 +13,7 @@ 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
 
-template_root = os.path.join(PROJECT_ROOT_, 'agent', 'utils', 'prompt')
+template_root = PROJECT_ROOT_ + '/agent/utils/prompt'
 db_session = next(get_db())
 logger = get_agent_logger(__name__)
 
@@ -36,16 +35,11 @@ async def Split_The_Problem(state: ReadState) -> ReadState:
     memory_config = state.get('memory_config', None)
 
     history = await SessionService(store).get_history(group_id, group_id, group_id)
-    
-    # 生成 JSON schema 以指导 LLM 输出正确格式
-    json_schema = ProblemExtensionResponse.model_json_schema()
-    
     system_prompt = await problem_service.template_service.render_template(
         template_name='problem_breakdown_prompt.jinja2',
         operation_name='split_the_problem',
         history=history,
-        sentence=content,
+        sentence=content
-        json_schema=json_schema
     )
     
     try:
@@ -153,16 +147,11 @@ async def Problem_Extension(state: ReadState) -> ReadState:
         data = []
 
     history = await SessionService(store).get_history(group_id, group_id, group_id)
-    
-    # 生成 JSON schema 以指导 LLM 输出正确格式
-    json_schema = ProblemExtensionResponse.model_json_schema()
-    
     system_prompt = await problem_service.template_service.render_template(
         template_name='Problem_Extension_prompt.jinja2',
         operation_name='problem_extension',
         history=history,
-        questions=databasets,
+        questions=databasets
-        json_schema=json_schema
     )
 
     try:

api/app/core/memory/agent/langgraph_graph/read_graph.py

@@ -59,7 +59,6 @@ async def make_read_graph():
         workflow.add_conditional_edges("Retrieve", Retrieve_continue)
         workflow.add_edge("Retrieve_Summary", END)
         workflow.add_conditional_edges("Verify", Verify_continue)
-
         workflow.add_edge("Summary_fails", END)
         workflow.add_edge("Summary", END)
 

api/app/core/memory/agent/services/optimized_llm_service.py

@@ -162,7 +162,7 @@ class OptimizedLLMService:
                     return fallback_value
                 elif isinstance(fallback_value, dict):
                     return response_model(**fallback_value)
-
+            
             # 尝试创建空的响应模型
             if hasattr(response_model, 'root'):
                 # RootModel类型
@@ -170,7 +170,7 @@ class OptimizedLLMService:
             else:
                 # 普通BaseModel类型
                 return response_model()
-
+                
         except Exception as e:
             logger.error(f"创建降级响应失败: {e}")
             # 最后的降级策略