diff --git a/python/packages/autogen-core/src/autogen_core/_function_utils.py b/python/packages/autogen-core/src/autogen_core/_function_utils.py
index a6803d085e48..7f11e458a276 100644
--- a/python/packages/autogen-core/src/autogen_core/_function_utils.py
+++ b/python/packages/autogen-core/src/autogen_core/_function_utils.py
@@ -21,12 +21,10 @@
     get_origin,
 )
 
-from pydantic import BaseModel, Field, create_model  # type: ignore
+from pydantic import BaseModel, Field, TypeAdapter, create_model  # type: ignore
 from pydantic_core import PydanticUndefined
 from typing_extensions import Literal
 
-from ._pydantic_compat import model_dump, type2schema
-
 logger = getLogger(__name__)
 
 T = TypeVar("T")
@@ -141,7 +139,7 @@ def get_parameter_json_schema(k: str, v: Any, default_values: Dict[str, Any]) ->
         A Pydanitc model for the parameter
     """
 
-    schema = type2schema(v)
+    schema = TypeAdapter(v).json_schema()
     if k in default_values:
         dv = default_values[k]
         schema["default"] = dv
@@ -293,7 +291,7 @@ def f(
         )
     )
 
-    return model_dump(function)
+    return function.model_dump()
 
 
 def normalize_annotated_type(type_hint: Type[Any]) -> Type[Any]:
diff --git a/python/packages/autogen-core/src/autogen_core/_pydantic_compat.py b/python/packages/autogen-core/src/autogen_core/_pydantic_compat.py
deleted file mode 100644
index c29ccb70c067..000000000000
--- a/python/packages/autogen-core/src/autogen_core/_pydantic_compat.py
+++ /dev/null
@@ -1,50 +0,0 @@
-# File based from: https://github.com/microsoft/autogen/blob/47f905267245e143562abfb41fcba503a9e1d56d/autogen/_pydantic.py
-# Credit to original authors
-
-
-from typing import Any, Dict, Tuple, Type, Union, get_args
-
-from pydantic import BaseModel
-from pydantic.version import VERSION as PYDANTIC_VERSION
-from typing_extensions import get_origin
-
-__all__ = ("model_dump", "type2schema")
-
-PYDANTIC_V1 = PYDANTIC_VERSION.startswith("1.")
-
-
-def type2schema(t: Type[Any] | None) -> Dict[str, Any]:
-    if PYDANTIC_V1:
-        from pydantic import schema_of  # type: ignore
-
-        if t is None:
-            return {"type": "null"}
-        elif get_origin(t) is Union:
-            return {"anyOf": [type2schema(tt) for tt in get_args(t)]}
-        elif get_origin(t) in [Tuple, tuple]:
-            prefixItems = [type2schema(tt) for tt in get_args(t)]
-            return {
-                "maxItems": len(prefixItems),
-                "minItems": len(prefixItems),
-                "prefixItems": prefixItems,
-                "type": "array",
-            }
-
-        d = schema_of(t)  # type: ignore
-        if "title" in d:
-            d.pop("title")
-        if "description" in d:
-            d.pop("description")
-
-        return d
-    else:
-        from pydantic import TypeAdapter
-
-        return TypeAdapter(t).json_schema()
-
-
-def model_dump(model: BaseModel) -> Dict[str, Any]:
-    if PYDANTIC_V1:
-        return model.dict()  # type: ignore
-    else:
-        return model.model_dump()