addressed feedback

Author: eavanvalkenburg

python/samples/concepts/setup/chat_completion_services.py

@@ -94,7 +94,7 @@ def get_openai_chat_completion_service_and_request_settings(
     """
     from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion, OpenAIChatPromptExecutionSettings
 
-    chat_service = OpenAIChatCompletion(service_id=service_id, instruction_role=instruction_role, env_file_path=".env")
+    chat_service = OpenAIChatCompletion(service_id=service_id, instruction_role=instruction_role)
     request_settings = OpenAIChatPromptExecutionSettings(
         service_id=service_id, max_tokens=2000, temperature=0.7, top_p=0.8
     )

python/semantic_kernel/kernel_pydantic.py

@@ -1,15 +1,17 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 
+import logging
 from typing import Annotated, Any, ClassVar, TypeVar
-from warnings import warn
 
 from pydantic import BaseModel, ConfigDict, Field, UrlConstraints
 from pydantic.networks import AnyUrl
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
 HttpsUrl = Annotated[AnyUrl, UrlConstraints(max_length=2083, allowed_schemes=["https"])]
 
+logger = logging.getLogger("semantic_kernel")
+
 
 class KernelBaseModel(BaseModel):
     """Base class for all pydantic models in the SK."""
@@ -51,7 +53,6 @@ def __init__(
         """Initialize the settings class."""
         # Remove any None values from the kwargs so that defaults are used.
         kwargs = {k: v for k, v in kwargs.items() if v is not None}
-
         super().__init__(**kwargs)
 
     def __new__(cls: type["T"], *args: Any, **kwargs: Any) -> "T":
@@ -76,5 +77,7 @@ def __new__(cls: type["T"], *args: Any, **kwargs: Any) -> "T":
     @classmethod
     def create(cls: type["T"], **data: Any) -> "T":
         """Update the model_config with the prefix."""
-        warn("Create is deprecated, use the class constructor instead.", DeprecationWarning, 2)
+        logger.warning(
+            "The create method is deprecated. Use the __new__ method instead.",
+        )
         return cls(**data)