diff --git a/src/khoj/processor/operator/operate_browser.py b/src/khoj/processor/operator/operate_browser.py
index ce69a6fd..a3944fb6 100644
--- a/src/khoj/processor/operator/operate_browser.py
+++ b/src/khoj/processor/operator/operate_browser.py
@@ -138,14 +138,6 @@ async def operate_browser(
                 response = summary_message
             else:  # Hit iteration limit
                 response = f"Operator hit iteration limit ({max_iterations}). If the results seem incomplete try again, assign a smaller task or try a different approach.\nThese were the results till now:\n{summary_message}"
-    except requests.RequestException as e:
-        error_msg = f"Browser use failed due to a network error: {e}"
-        logger.error(error_msg)
-        raise ValueError(error_msg)
-    except Exception as e:
-        error_msg = f"Browser use failed due to an unexpected error: {e}"
-        logger.exception(error_msg)  # Log full traceback for unexpected errors
-        raise ValueError(error_msg)
     finally:
         if environment and not user_input_message:  # Don't close browser if user input required
             await environment.close()
diff --git a/src/khoj/processor/operator/operator_agent_binary.py b/src/khoj/processor/operator/operator_agent_binary.py
index 0b274f57..c506070e 100644
--- a/src/khoj/processor/operator/operator_agent_binary.py
+++ b/src/khoj/processor/operator/operator_agent_binary.py
@@ -168,6 +168,7 @@ Focus on the visual action and provide all necessary context.
             logger.info(f"Reasoning LLM suggested action: {natural_language_action}")
 
         except Exception as e:
+            logger.error(f"Error calling Reasoning LLM: {e}", exc_info=True)
             return {"type": "error", "message": f"Error calling Reasoning LLM: {e}"}
 
         return {"type": "action", "message": natural_language_action}
@@ -212,7 +213,7 @@ Focus on the visual action and provide all necessary context.
                         rendered_parts += [f"**Action**: {action.type}"]
             action_results += [{"content": None}]  # content set after environment step
         except Exception as e:
-            logger.error(f"Error calling Grounding LLM: {e}")
+            logger.error(f"Error calling Grounding LLM: {e}", exc_info=True)
             rendered_parts += [f"**Error**: Error contacting Grounding LLM: {e}"]
 
         rendered_response = self._render_response(rendered_parts, current_state.screenshot)
@@ -256,6 +257,8 @@ Focus on the visual action and provide all necessary context.
         # Append action results to history
         action_results_content = []
         for action_result in agent_action.action_results:
+            if not action_result.get("content"):
+                logger.error("Action result content is empty or None: {action_result}")
             action_results_content.extend(action_result["content"])
         self.messages.append(AgentMessage(role="environment", content=action_results_content))