final answer

src/agents/verification_node.py

@@ -43,10 +43,22 @@ def extract_final_answer(response_content: str) -> str:
     
     # If there are still multiple lines, keep only the first non-empty line (to avoid explanations)
     if '\n' in answer:
+        candidate = None
         for line in answer.split('\n'):
-            if line.strip():
-                answer = line.strip()
-                break
+            if not line.strip():
+                continue
+            cleaned_line = line.strip()
+            # Skip meta-thinking placeholders such as "<think>" or "[thinking]"
+            lower_line = cleaned_line.lower()
+            if lower_line in {"<think>", "think", "[thinking]", "<thinking>", "[think]"}:
+                continue
+            # Skip XML-like tags
+            if lower_line.startswith("<") and lower_line.endswith(">"):
+                continue
+            candidate = cleaned_line
+            break
+        if candidate is not None:
+            answer = candidate
     
     return answer.strip()
 

test.py

@@ -30,8 +30,19 @@ class BasicAgent:
         # Wrap the question in a HumanMessage from langchain_core
         messages = [HumanMessage(content=question)]
         messages = self.graph.invoke({"messages": messages})
+        # Retrieve the assistant's final message
         answer = messages['messages'][-1].content
-        return answer[14:]
+        # If the answer still contains known prefixes (e.g., "Final Answer:"), strip them
+        prefixes = [
+            "Final Answer:", "Answer:", "The answer is:", "The final answer is:",
+            "Result:", "Solution:", "Response:", "Output:", "Conclusion:",
+        ]
+        for p in prefixes:
+            if answer.lower().startswith(p.lower()):
+                answer = answer[len(p):].strip()
+                break
+
+        return answer.strip()
 
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):