diff --git a/src/openai/_models.py b/src/openai/_models.py
index ed4c1f82d6..664405ab41 100644
--- a/src/openai/_models.py
+++ b/src/openai/_models.py
@@ -657,7 +657,10 @@ def construct_type(*, value: object, type_: object, metadata: Optional[List[Any]
         if not is_mapping(value):
             return value
 
-        _, items_type = get_args(type_)  # Dict[_, items_type]
+        args = get_args(type_)
+        if len(args) < 2:
+            return value
+        items_type = args[1]
         return {key: construct_type(value=item, type_=items_type) for key, item in value.items()}
 
     if (
diff --git a/src/openai/types/beta/realtime/realtime_response_status.py b/src/openai/types/beta/realtime/realtime_response_status.py
index 7189cd58a1..986da1c8e4 100644
--- a/src/openai/types/beta/realtime/realtime_response_status.py
+++ b/src/openai/types/beta/realtime/realtime_response_status.py
@@ -12,6 +12,9 @@ class Error(BaseModel):
     code: Optional[str] = None
     """Error code, if any."""
 
+    message: Optional[str] = None
+    """A human-readable description of the error, if any."""
+
     type: Optional[str] = None
     """The type of error."""
 
diff --git a/src/openai/types/realtime/realtime_response_status.py b/src/openai/types/realtime/realtime_response_status.py
index 26b272ae5a..967e48886f 100644
--- a/src/openai/types/realtime/realtime_response_status.py
+++ b/src/openai/types/realtime/realtime_response_status.py
@@ -17,6 +17,9 @@ class Error(BaseModel):
     code: Optional[str] = None
     """Error code, if any."""
 
+    message: Optional[str] = None
+    """A human-readable description of the error, if any."""
+
     type: Optional[str] = None
     """The type of error."""
 
diff --git a/tests/lib/test_realtime_response_status.py b/tests/lib/test_realtime_response_status.py
new file mode 100644
index 0000000000..a4c2302f73
--- /dev/null
+++ b/tests/lib/test_realtime_response_status.py
@@ -0,0 +1,31 @@
+from __future__ import annotations
+
+from pydantic import BaseModel
+import pytest
+
+from openai.types.beta.realtime import RealtimeResponseStatus as BetaRealtimeResponseStatus
+from openai.types.realtime import RealtimeResponseStatus as RealtimeResponseStatus
+
+
+@pytest.mark.parametrize(
+    "status_cls",
+    [BetaRealtimeResponseStatus, RealtimeResponseStatus],
+    ids=["beta", "realtime"],
+)
+def test_realtime_response_status_error_message(status_cls: type[BaseModel]) -> None:
+    status = status_cls.model_validate(
+        {
+            "error": {
+                "code": "bad_request",
+                "message": "The model could not process the request.",
+                "type": "invalid_request_error",
+            },
+            "type": "failed",
+        }
+    )
+
+    assert status.error is not None
+    assert status.error.code == "bad_request"
+    assert status.error.message == "The model could not process the request."
+    assert status.error.type == "invalid_request_error"
+    assert status.type == "failed"
diff --git a/tests/test_models.py b/tests/test_models.py
index cc204bac1d..9f8be87f3b 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -964,6 +964,10 @@ def __getattr__(self, attr: str) -> Item: ...
     assert model.other == "foo"
 
 
+def test_bare_dict_annotation() -> None:
+    assert construct_type(value={"key": "value"}, type_=dict) == {"key": "value"}
+
+
 # NOTE: Workaround for Pydantic Iterable behavior.
 # Iterable fields are replaced with a ValidatorIterator and may be consumed
 # during serialization, which can cause subsequent dumps to return empty data.