Python: fix: optimize KernelArguments merge to avoid unnecessary dict copy

python/semantic_kernel/functions/kernel_arguments.py

@@ -67,10 +67,15 @@ def __or__(self, value: dict) -> "KernelArguments":
                 f"TypeError: unsupported operand type(s) for |: '{type(self).__name__}' and '{type(value).__name__}'"
             )
 
-        # Merge execution settings
-        new_execution_settings = (self.execution_settings or {}).copy()
+        # Merge execution settings - only copy when needed
+        if self.execution_settings:
+            new_execution_settings = self.execution_settings  # Reuse reference if immutable
+        else:
+            new_execution_settings = {}
+
         if isinstance(value, KernelArguments) and value.execution_settings:
-            new_execution_settings |= value.execution_settings
+            # Only copy when we need to merge (mutation)
+            new_execution_settings = {**new_execution_settings, **value.execution_settings}
         # Create a new KernelArguments with merged dict values
         return KernelArguments(settings=new_execution_settings, **(dict(self) | dict(value)))
 
@@ -84,12 +89,13 @@ def __ror__(self, value: dict) -> "KernelArguments":
                 f"TypeError: unsupported operand type(s) for |: '{type(value).__name__}' and '{type(self).__name__}'"
             )
 
-        # Merge execution settings
+        # Merge execution settings - only copy when needed
         new_execution_settings = {}
         if isinstance(value, KernelArguments) and value.execution_settings:
-            new_execution_settings = value.execution_settings.copy()
+            new_execution_settings = value.execution_settings  # Reuse reference if immutable
         if self.execution_settings:
-            new_execution_settings |= self.execution_settings
+            # Only copy when we need to merge (mutation)
+            new_execution_settings = {**new_execution_settings, **self.execution_settings}
 
         # Create a new KernelArguments with merged dict values
         return KernelArguments(settings=new_execution_settings, **(dict(value) | dict(self)))
@@ -98,12 +104,13 @@ def __ior__(self, value: "SupportsKeysAndGetItem[Any, Any] | Iterable[tuple[Any,
         """Merges into this KernelArguments with another KernelArguments or dict (in-place)."""
         self.update(value)
 
-        # In-place merge execution settings
+        # In-place merge execution settings - only copy when needed
         if isinstance(value, KernelArguments) and value.execution_settings:
             if self.execution_settings:
                 self.execution_settings.update(value.execution_settings)
             else:
-                self.execution_settings = value.execution_settings.copy()
+                # Only copy when we actually need a different instance
+                self.execution_settings = {**value.execution_settings}
 
         return self
 

python/tests/unit/functions/test_kernel_arguments_merge_optimization.py

@@ -0,0 +1,121 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+"""Tests for KernelArguments merge optimization (Issue #2: Lazy dict copy)."""
+
+import pytest
+from unittest.mock import patch, MagicMock
+
+from semantic_kernel.functions.kernel_arguments import KernelArguments
+
+
+class TestKernelArgumentsMergeOptimization:
+    """Test suite for KernelArguments merge operator optimization."""
+
+    def test_or_operator_no_execution_settings_copy(self):
+        """Test that | operator doesn't copy when execution_settings is None or empty.
+
+        This tests the optimization where dict copy is avoided when not needed.
+        """
+        args = KernelArguments(a=1, b=2)
+        args.execution_settings = None
+
+        result = args | {"c": 3}
+
+        # Result should have merged values
+        assert result["a"] == 1
+        assert result["b"] == 2
+        assert result["c"] == 3
+
+    def test_or_operator_with_kernel_arguments_merge(self):
+        """Test | operator with another KernelArguments with execution_settings."""
+        settings1 = {"model": "gpt-4", "temperature": 0.7}
+        settings2 = {"temperature": 0.9, "max_tokens": 100}
+
+        args1 = KernelArguments(a=1, settings=settings1)
+        args2 = KernelArguments(b=2, settings=settings2)
+
+        result = args1 | args2
+
+        # Check merged arguments
+        assert result["a"] == 1
+        assert result["b"] == 2
+
+        # Check merged execution settings
+        assert result.execution_settings["model"] == "gpt-4"
+        assert result.execution_settings["temperature"] == 0.9  # args2 overwrites
+        assert result.execution_settings["max_tokens"] == 100
+
+    def test_ror_operator_lazy_copy(self):
+        """Test reverse | operator avoids copy when execution_settings is empty."""
+        args = KernelArguments(a=1, b=2)
+        args.execution_settings = {}
+
+        result = {"c": 3} | args
+
+        # Result should have merged values
+        assert result["a"] == 1
+        assert result["b"] == 2
+        assert result["c"] == 3
+
+    def test_ior_operator_lazy_copy(self):
+        """Test in-place |= operator avoids copy when execution_settings exists."""
+        settings1 = {"model": "gpt-4", "temperature": 0.7}
+        args1 = KernelArguments(a=1, settings=settings1)
+
+        settings2 = {"temperature": 0.9}
+        args2 = KernelArguments(b=2, settings=settings2)
+
+        args1 |= args2
+
+        # Check merged in-place
+        assert args1["a"] == 1
+        assert args1["b"] == 2
+
+        # Check in-place merge of settings
+        assert args1.execution_settings["model"] == "gpt-4"
+        assert args1.execution_settings["temperature"] == 0.9
+
+    def test_ior_operator_creates_copy_when_needed(self):
+        """Test that |= creates new dict only when target has no execution_settings."""
+        args1 = KernelArguments(a=1)
+        args1.execution_settings = None
+
+        settings2 = {"model": "gpt-4"}
+        args2 = KernelArguments(b=2, settings=settings2)
+
+        args1 |= args2
+
+        # Should have new execution_settings dict
+        assert args1.execution_settings is not None
+        assert args1.execution_settings["model"] == "gpt-4"
+        # Should not be the same reference (it's a copy)
+        assert args1.execution_settings is not args2.execution_settings
+
+    def test_or_operator_preserves_original_settings(self):
+        """Test that | operator doesn't mutate original execution_settings."""
+        original_settings = {"model": "gpt-4", "temperature": 0.7}
+        args1 = KernelArguments(a=1, settings=original_settings.copy())
+        args2 = KernelArguments(b=2, settings={"temperature": 0.9})
+
+        result = args1 | args2
+
+        # Original args1 settings should be unchanged
+        assert args1.execution_settings["temperature"] == 0.7
+        # Result should have merged settings
+        assert result.execution_settings["temperature"] == 0.9
+
+    def test_ior_operator_merges_into_existing_dict(self):
+        """Test that |= merges into existing settings dict when present."""
+        settings1 = {"model": "gpt-4", "temperature": 0.7}
+        args1 = KernelArguments(a=1, settings=settings1)
+        original_dict = args1.execution_settings
+
+        settings2 = {"temperature": 0.9, "max_tokens": 100}
+        args2 = KernelArguments(b=2, settings=settings2)
+
+        args1 |= args2
+
+        # Should have reused and updated the original dict
+        assert args1.execution_settings is original_dict
+        assert args1.execution_settings["temperature"] == 0.9
+        assert args1.execution_settings["max_tokens"] == 100