diff --git a/libs/langgraph/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py
index 5bac66252..322d9332f 100644
--- a/libs/langgraph/tests/test_pregel.py
+++ b/libs/langgraph/tests/test_pregel.py
@@ -24,12 +24,14 @@ from typing import (
     Any,
     Dict,
     Generator,
+    Generic,
     Iterator,
     List,
     Literal,
     Optional,
     Sequence,
     Tuple,
+    TypeVar,
     Union,
     get_type_hints,
 )
@@ -37,11 +39,7 @@ from typing import (
 import httpx
 import pytest
 from langchain_core.language_models import GenericFakeChatModel
-from langchain_core.runnables import (
-    RunnableConfig,
-    RunnableLambda,
-    RunnablePassthrough,
-)
+from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
 from langchain_core.runnables.graph import Edge
 from langsmith import traceable
 from pytest_mock import MockerFixture
@@ -3109,10 +3107,10 @@ def test_nested_pydantic_models(version: str) -> None:
     # Import necessary modules
 
     if version == "v1":
-        from pydantic.v1 import (  # type: ignore
+        from pydantic.v1 import (
             BaseModel,
             ByteSize,
-            Field,
+            Field,  # type: ignore
             SecretStr,
             confloat,
             conint,
@@ -3120,10 +3118,10 @@ def test_nested_pydantic_models(version: str) -> None:
             constr,
         )
     else:
-        from pydantic import (  # type: ignore
+        from pydantic import (
             BaseModel,
             ByteSize,
-            Field,
+            Field,  # type: ignore
             SecretStr,
             confloat,
             conint,
@@ -3423,6 +3421,43 @@ def test_pydantic_v1_state_root_validator():
     assert res["text"] == "Hello, Validated John!"
 
 
+def test_pydantic_generics():
+    from pydantic import BaseModel
+
+    class A(BaseModel):
+        a: str
+
+    class B(BaseModel):
+        b: str
+
+    AorB = TypeVar("AorB", A, B)
+
+    class C(BaseModel, Generic[AorB]):
+        c: AorB
+
+    class State(BaseModel):
+        text: str
+        count: int
+        c: C[A]
+
+    input_state = {"text": "1", "count": 0, "c": {"c": {"a": "1"}}}
+    expected_input = State.model_validate(input_state)
+
+    def process_node(state: State):
+        assert state == expected_input
+        new_text = ", the type of c is " + str(type(state.c.c))
+
+        return {"text": state.text + new_text, "count": state.count + 1}
+
+    builder = StateGraph(State)
+    builder.add_node("process", process_node)
+    builder.add_edge(START, "process")
+    g = builder.compile()
+
+    g.invoke(input_state)
+    g.invoke(expected_input)
+
+
 @pytest.mark.parametrize("checkpointer_name", ALL_CHECKPOINTERS_SYNC)
 def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
     request: pytest.FixtureRequest, checkpointer_name: str