Update

conversation_flow.py

@@ -247,8 +247,8 @@ class FlowManager:
         response = self.llm.invoke(prompt)
         
         try:
-            # Parse with json5 for more tolerant parsing
-            evaluation = json5.loads(response)
+            # Parse with standard json
+            evaluation = json.loads(response)
             # Validate with Pydantic
             phase_transition = PhaseTransitionResponse.parse_obj(evaluation)
             
@@ -261,7 +261,7 @@ class FlowManager:
             if phase_transition.should_transition:
                 if phase_transition.next_phase in self.PHASES:
                     self._transition_to_phase(user_id, phase_transition.next_phase, phase_transition.reasoning)
-        except (json5.Json5DecodeError, ValueError):
+        except (json.JSONDecodeError, ValueError):
             self._check_time_based_transition(user_id)
     
     def _check_time_based_transition(self, user_id: str):
@@ -378,13 +378,13 @@ class FlowManager:
         response = self.llm.invoke(prompt)
         
         try:
-            # Parse with json5 for more tolerant parsing
-            characteristics = json5.loads(response)
+            # Parse with standard json
+            characteristics = json.loads(response)
             # Validate with Pydantic
             session_chars = SessionCharacteristics.parse_obj(characteristics)
             session['llm_context']['session_characteristics'] = session_chars.dict()
             logger.info(f"Updated session characteristics for user {user_id}")
-        except (json5.Json5DecodeError, ValueError) as e:
+        except (json.JSONDecodeError, ValueError) as e:
             logger.warning(f"Failed to parse session characteristics: {e}")
     
     def _create_flow_context(self, user_id: str) -> Dict[str, Any]: