Python: Fix issue with default opentelemetry metric in pydantic base …

…model (#9292)

### Motivation and Context

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- This is fixing an issue with the default opentelemery metric in
KernelFunction. This issue is with SemanticKernel version >= 1.8
causing 
`TypeError: cannot pickle '_thread.RLock' object`
when importing SemanticKernel

- This is blocking us from updating to the latest SemanticKernel
version.

It is difficult to reproduce outside my application code. But is seems
to be the same issue mentioned in
#9057 and #9012 

changing to a Field with a default factory solve the issue.

### Description

<!-- Describe your changes, the overall approach, the underlying design.
These notes will help understanding how your code works. Thanks! -->

- Updating the default metrics value to use a Field with a
default_factory

### Contribution Checklist

<!-- Before submitting this PR, please make sure: -->

- [x] The code builds clean without any errors or warnings
- [x] The PR follows the [SK Contribution
Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md)
and the [pre-submission formatting
script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts)
raises no violations
- [x] All unit tests pass, and I have added new tests where possible
- [x] I didn't break anyone 😄

Co-authored-by: Evan Mattson <[email protected]>

python/semantic_kernel/functions/kernel_function.py

@@ -10,6 +10,7 @@
 
 from opentelemetry import metrics, trace
 from opentelemetry.semconv.attributes.error_attributes import ERROR_TYPE
+from pydantic import Field
 
 from semantic_kernel.filters.filter_types import FilterTypes
 from semantic_kernel.filters.functions.function_invocation_context import FunctionInvocationContext
@@ -52,6 +53,22 @@
 }
 
 
+def _create_function_duration_histogram():
+    return meter.create_histogram(
+        "semantic_kernel.function.invocation.duration",
+        unit="s",
+        description="Measures the duration of a function's execution",
+    )
+
+
+def _create_function_streaming_duration_histogram():
+    return meter.create_histogram(
+        "semantic_kernel.function.streaming.duration",
+        unit="s",
+        description="Measures the duration of a function's streaming execution",
+    )
+
+
 class KernelFunction(KernelBaseModel):
     """Semantic Kernel function.
 
@@ -75,15 +92,9 @@ class KernelFunction(KernelBaseModel):
 
     metadata: KernelFunctionMetadata
 
-    invocation_duration_histogram: metrics.Histogram = meter.create_histogram(
-        "semantic_kernel.function.invocation.duration",
-        unit="s",
-        description="Measures the duration of a function's execution",
-    )
-    streaming_duration_histogram: metrics.Histogram = meter.create_histogram(
-        "semantic_kernel.function.streaming.duration",
-        unit="s",
-        description="Measures the duration of a function's streaming execution",
+    invocation_duration_histogram: metrics.Histogram = Field(default_factory=_create_function_duration_histogram)
+    streaming_duration_histogram: metrics.Histogram = Field(
+        default_factory=_create_function_streaming_duration_histogram
     )
 
     @classmethod