tradingagents/agents/managers/research_manager.py

@@ -1,6 +1,7 @@
 # -*- coding: utf-8 -*-
 import time
 import json
+from tradingagents.agents.utils.output_filter import fix_common_llm_errors, validate_and_warn
 
 
 def create_research_manager(llm, memory):
@@ -99,6 +100,10 @@ def create_research_manager(llm, memory):
         
         # 呼叫 LLM 生成回應
         response = llm.invoke(prompt)
+        
+        # CRITICAL FIX: Apply output filtering
+        response.content = fix_common_llm_errors(response.content)
+        validate_and_warn(response.content, "Research_Manager")
 
         # 更新投資辯論狀態
         new_investment_debate_state = {

tradingagents/agents/researchers/bear_researcher.py

@@ -2,6 +2,7 @@
 from langchain_core.messages import AIMessage
 import time
 import json
+from tradingagents.agents.utils.output_filter import fix_common_llm_errors, validate_and_warn
 
 
 def create_bear_researcher(llm, memory):
@@ -103,6 +104,10 @@ def create_bear_researcher(llm, memory):
 
         # 呼叫 LLM 生成回應
         response = llm.invoke(prompt)
+        
+        # CRITICAL FIX: Apply output filtering to fix common LLM errors
+        response.content = fix_common_llm_errors(response.content)
+        validate_and_warn(response.content, "Bear_Researcher")
 
         # 格式化論點
         argument = f"看跌分析師：{response.content}"

tradingagents/agents/researchers/bull_researcher.py

@@ -1,7 +1,9 @@
+```python
 # -*- coding: utf-8 -*-
 from langchain_core.messages import AIMessage
 import time
 import json
+from tradingagents.agents.utils.output_filter import fix_common_llm_errors, validate_and_warn
 
 
 def create_bull_researcher(llm, memory):
@@ -103,6 +105,10 @@ def create_bull_researcher(llm, memory):
 
         # 呼叫 LLM 生成回應
         response = llm.invoke(prompt)
+        
+        # CRITICAL FIX: Apply output filtering to fix common LLM errors
+        response.content = fix_common_llm_errors(response.content)
+        validate_and_warn(response.content, "Bull_Researcher")
 
         # 格式化論點
         argument = f"看漲分析師：{response.content}"

tradingagents/agents/risk_mgmt/aggresive_debator.py

@@ -1,6 +1,7 @@
 # -*- coding: utf-8 -*-
 import time
 import json
+from tradingagents.agents.utils.output_filter import fix_common_llm_errors, validate_and_warn
 
 
 def create_risky_debator(llm):
@@ -92,6 +93,10 @@ def create_risky_debator(llm):
 
         # 呼叫 LLM 生成回應
         response = llm.invoke(prompt)
+        
+        # CRITICAL FIX: Apply output filtering
+        response.content = fix_common_llm_errors(response.content)
+        validate_and_warn(response.content, "Aggressive_Debator")
 
         # 格式化論點
         argument = f"激進分析師：{response.content}"

tradingagents/agents/risk_mgmt/conservative_debator.py

@@ -2,6 +2,7 @@
 from langchain_core.messages import AIMessage
 import time
 import json
+from tradingagents.agents.utils.output_filter import fix_common_llm_errors, validate_and_warn
 
 
 def create_safe_debator(llm):
@@ -93,6 +94,10 @@ def create_safe_debator(llm):
 
         # 呼叫 LLM 生成回應
         response = llm.invoke(prompt)
+        
+        # CRITICAL FIX: Apply output filtering
+        response.content = fix_common_llm_errors(response.content)
+        validate_and_warn(response.content, "Conservative_Debator")
 
         # 格式化論點
         argument = f"安全分析師：{response.content}"

tradingagents/agents/risk_mgmt/neutral_debator.py

@@ -1,6 +1,7 @@
 # -*- coding: utf-8 -*-
 import time
 import json
+from tradingagents.agents.utils.output_filter import fix_common_llm_errors, validate_and_warn
 
 
 def create_neutral_debator(llm):
@@ -92,6 +93,10 @@ def create_neutral_debator(llm):
 
         # 呼叫 LLM 生成回應
         response = llm.invoke(prompt)
+        
+        # CRITICAL FIX: Apply output filtering
+        response.content = fix_common_llm_errors(response.content)
+        validate_and_warn(response.content, "Neutral_Debator")
 
         # 格式化論點
         argument = f"中立分析師：{response.content}"