diff --git a/sentry_sdk/integrations/langchain.py b/sentry_sdk/integrations/langchain.py
index 9488731b52..dfd46649e9 100644
--- a/sentry_sdk/integrations/langchain.py
+++ b/sentry_sdk/integrations/langchain.py
@@ -19,7 +19,7 @@
 from sentry_sdk.consts import OP, SPANDATA
 from sentry_sdk.integrations import DidNotEnable, Integration
 from sentry_sdk.scope import should_send_default_pii
-from sentry_sdk.tracing_utils import _get_value, set_span_errored
+from sentry_sdk.tracing_utils import _get_value
 from sentry_sdk.utils import capture_internal_exceptions, logger
 
 if TYPE_CHECKING:
@@ -273,11 +273,10 @@ def _handle_error(self, run_id: "UUID", error: "Any") -> None:
 
             span_data = self.span_map[run_id]
             span = span_data.span
-            set_span_errored(span)
 
             sentry_sdk.capture_exception(error, span.scope)
 
-            span.__exit__(None, None, None)
+            span.__exit__(type(error), error, error.__traceback__)
             del self.span_map[run_id]
 
     def _normalize_langchain_message(self, message: "BaseMessage") -> "Any":
@@ -1112,13 +1111,13 @@ def new_iterator() -> "Iterator[Any]":
                     and integration.include_prompts
                 ):
                     set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
+
+                span.__exit__(None, None, None)
             except Exception:
                 exc_info = sys.exc_info()
-                set_span_errored(span)
+                with capture_internal_exceptions():
+                    span.__exit__(*exc_info)
                 raise
-            finally:
-                # Ensure cleanup happens even if iterator is abandoned or fails
-                span.__exit__(*exc_info)
 
         async def new_iterator_async() -> "AsyncIterator[Any]":
             exc_info: "tuple[Any, Any, Any]" = (None, None, None)
@@ -1137,13 +1136,13 @@ async def new_iterator_async() -> "AsyncIterator[Any]":
                     and integration.include_prompts
                 ):
                     set_data_normalized(span, SPANDATA.GEN_AI_RESPONSE_TEXT, output)
+
+                span.__exit__(None, None, None)
             except Exception:
                 exc_info = sys.exc_info()
-                set_span_errored(span)
+                with capture_internal_exceptions():
+                    span.__exit__(*exc_info)
                 raise
-            finally:
-                # Ensure cleanup happens even if iterator is abandoned or fails
-                span.__exit__(*exc_info)
 
         if str(type(result)) == "<class 'async_generator'>":
             result = new_iterator_async()
diff --git a/tests/integrations/langchain/test_langchain.py b/tests/integrations/langchain/test_langchain.py
index a1872b56d2..69c58f5409 100644
--- a/tests/integrations/langchain/test_langchain.py
+++ b/tests/integrations/langchain/test_langchain.py
@@ -2561,8 +2561,6 @@ def _llm_type(self) -> str:
         assert transaction["spans"][0]["status"] == "internal_error"
         assert transaction["spans"][0]["tags"]["status"] == "internal_error"
 
-    assert transaction["contexts"]["trace"]["status"] == "internal_error"
-
 
 def test_manual_callback_no_duplication(sentry_init):
     """