diff --git a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
index d5599c54ab7..50baef64d14 100644
--- a/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
+++ b/libs/partners/openai/tests/integration_tests/chat_models/test_base.py
@@ -1,6 +1,5 @@
 """Test ChatOpenAI chat model."""
-
-from typing import Any, Optional, cast
+from typing import Any, List, Optional, cast
 
 import pytest
 from langchain_core.callbacks import CallbackManager
@@ -10,6 +9,7 @@ from langchain_core.messages import (
     BaseMessageChunk,
     HumanMessage,
     SystemMessage,
+    ToolMessage,
 )
 from langchain_core.outputs import (
     ChatGeneration,
@@ -470,6 +470,25 @@ async def test_async_response_metadata_streaming() -> None:
     assert "content" in cast(BaseMessageChunk, full).response_metadata["logprobs"]
 
 
+class GenerateUsername(BaseModel):
+    "Get a username based on someone's name and hair color."
+
+    name: str
+    hair_color: str
+
+
+def test_tool_use() -> None:
+    llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
+    llm_with_tool = llm.bind_tools(tools=[GenerateUsername], tool_choice=True)
+    msgs: List = [HumanMessage("Sally has green hair, what would her username be?")]
+    ai_msg = llm_with_tool.invoke(msgs)
+    tool_msg = ToolMessage(
+        "sally_green_hair", tool_call_id=ai_msg.additional_kwargs["tool_calls"][0]["id"]
+    )
+    msgs.extend([ai_msg, tool_msg])
+    llm_with_tool.invoke(msgs)
+
+
 def test_openai_structured_output() -> None:
     class MyModel(BaseModel):
         """A Person"""