快速检索，需要在接口部分添加LLM整合

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

@@ -1,3 +1,4 @@
+import os
 import json
 import time
 from app.core.logging_config import get_agent_logger
@@ -13,10 +14,11 @@ 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 = PROJECT_ROOT_ + '/agent/utils/prompt'
+template_root = os.path.join(PROJECT_ROOT_, 'agent', 'utils', 'prompt')
 db_session = next(get_db())
 logger = get_agent_logger(__name__)
 
+
 class ProblemNodeService(LLMServiceMixin):
     """问题处理节点服务类"""
 
@@ -24,9 +26,11 @@ class ProblemNodeService(LLMServiceMixin):
         super().__init__()
         self.template_service = TemplateService(template_root)
 
+
 # 创建全局服务实例
 problem_service = ProblemNodeService()
 
+
 async def Split_The_Problem(state: ReadState) -> ReadState:
     """问题分解节点"""
     # 从状态中获取数据
@@ -35,11 +39,16 @@ 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:
@@ -71,7 +80,7 @@ async def Split_The_Problem(state: ReadState) -> ReadState:
         split_result_dict = []
         for index, item in enumerate(json.loads(split_result)):
             split_data = {
-                "id": f"Q{index+1}",
+                "id": f"Q{index + 1}",
                 "question": item['extended_question'],
                 "type": item['type'],
                 "reason": item['reason']
@@ -124,6 +133,7 @@ async def Split_The_Problem(state: ReadState) -> ReadState:
     # 返回更新后的状态，包含spit_context字段
     return {"spit_data": result}
 
+
 async def Problem_Extension(state: ReadState) -> ReadState:
     """问题扩展节点"""
     # 获取原始数据和分解结果
@@ -147,11 +157,16 @@ 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:
@@ -232,6 +247,3 @@ async def Problem_Extension(state: ReadState) -> ReadState:
     }
 
     return {"problem_extension": result}
-
-
-