diff --git a/great_ai/parameters/log_metric.py b/great_ai/parameters/log_metric.py
index 75efa01..2b49879 100644
--- a/great_ai/parameters/log_metric.py
+++ b/great_ai/parameters/log_metric.py
@@ -5,7 +5,7 @@ from ..context import get_context
 from ..tracing import TracingContext
 
 
-def log_metric(argument_name: str, value: Any) -> None:
+def log_metric(argument_name: str, value: Any, disable_logging: bool=False) -> None:
     """Log a key (argument_name)-value pair that is persisted inside the trace.
 
     The name of the function from where this is called is also stored.
@@ -13,12 +13,19 @@ def log_metric(argument_name: str, value: Any) -> None:
     Args:
         argument_name: The key for storing the value.
         value: Value to log. Must be JSON-serialisable.
+        disable_logging: If True, only persist in trace but don't show in console
     """
 
     tracing_context = TracingContext.get_current_tracing_context()
-    caller = inspect.stack()[1].function
-    actual_name = f"metric:{caller}:{argument_name}"
+    try:
+        caller = inspect.stack()[1].function
+        actual_name = f"metric:{caller}:{argument_name}"
+    except:
+        # inspect might not work in notebooks
+        actual_name = f"metric:{argument_name}"
+
     if tracing_context:
         tracing_context.log_value(name=actual_name, value=value)
 
-    get_context().logger.info(f"{actual_name}={value}")
+    if not disable_logging:
+        get_context().logger.info(f"{actual_name}={value}")