diff --git a/live_data_processor/main.py b/live_data_processor/main.py
index f130124..10f4173 100644
--- a/live_data_processor/main.py
+++ b/live_data_processor/main.py
@@ -8,6 +8,7 @@
 
 import contextlib
 import datetime
+import io
 import logging
 import os
 import signal
@@ -85,6 +86,48 @@
 }
 
 
+class TeeStream(io.TextIOBase):
+    """
+    Stream wrapper that duplicates output to two text streams.
+
+    This class simulates a text stream and takes any writes and flushes,
+    piping the result uniformly to both provided destination streams.
+    """
+
+    def __init__(self, stream1: Any, stream2: Any) -> None:
+        """
+        Initialize the TeeStream with two target streams.
+
+        :param stream1: The primary stream to duplicate output to (e.g. sys.stdout).
+        :param stream2: The secondary stream to duplicate output to (e.g. io.StringIO).
+        """
+        super().__init__()
+        self.stream1 = stream1
+        self.stream2 = stream2
+
+    def write(self, data: str) -> int:
+        """
+        Write the string data to both output streams.
+
+        :param data: The string data to write out.
+        :return: The number of characters written.
+        """
+        self.stream1.write(data)
+        self.stream2.write(data)
+        return len(data)
+
+    def flush(self) -> None:
+        """Flush the output buffers of both underlying streams."""
+        self.stream1.flush()
+        self.stream2.flush()
+
+    def __getattr__(self, name: str) -> Any:
+        """
+        Delegate remaining unfound stream properties or methods to the primary stream.
+        """
+        return getattr(self.stream1, name)
+
+
 def process_events(events: EventMessage) -> None:
     """
     Process event data by adding events to the live workspace.
@@ -252,6 +295,7 @@ def start_live_reduction(  # noqa: C901, PLR0912, PLR0915
 
             # Execute reduction function periodically
             if (now - script_last_executed_time).total_seconds() > SCRIPT_EXECUTION_INTERVAL:
+                output_stream = io.StringIO()
                 try:
                     if not kafka_sample_log_streaming:
                         with Path(epics_log_file).open("r", encoding="utf-8") as f:
@@ -267,16 +311,23 @@ def start_live_reduction(  # noqa: C901, PLR0912, PLR0915
                         RemoveWorkspaceHistory(ws)
 
                     logger.info("Executing reduction script")
-                    reduction_function()
+                    tee_stdout = TeeStream(sys.stdout, output_stream)
+                    tee_stderr = TeeStream(sys.stderr, output_stream)
+                    with contextlib.redirect_stdout(tee_stdout), contextlib.redirect_stderr(tee_stderr):
+                        reduction_function()
                     logger.info("Reduction script executed")
                 except Exception as exc:
                     logger.warning("Error occurred in reduction", exc_info=exc)
+                    tb_str = "".join(traceback.format_exception(type(exc), exc, exc.__traceback__))
+                    if output_stream.getvalue():
+                        output_stream.write("\n")
+                    output_stream.write(tb_str)
+                finally:
                     try:
-                        tb_str = "".join(traceback.format_exception(type(exc), exc, exc.__traceback__))
-                        valkey_client.set(f"live_data:{INSTRUMENT}:traceback", tb_str)
+                        valkey_client.set(f"live_data:{INSTRUMENT}:traceback", output_stream.getvalue())
                     except Exception as redis_exc:
-                        logger.warning("Failed to store traceback in Valkey", exc_info=redis_exc)
-                finally:
+                        logger.warning("Failed to store output in Valkey", exc_info=redis_exc)
+
                     script_last_executed_time = datetime.datetime.now(tz=datetime.UTC)
                     logger.info(
                         "Script will execute again in %s seconds",