diff --git a/libs/core/langchain_core/language_models/chat_models.py b/libs/core/langchain_core/language_models/chat_models.py
index 7e11c491d6f..32f198532e6 100644
--- a/libs/core/langchain_core/language_models/chat_models.py
+++ b/libs/core/langchain_core/language_models/chat_models.py
@@ -812,9 +812,11 @@ class BaseChatModel(BaseLanguageModel[AIMessage], ABC):
             ls_params["ls_model_name"] = self.model_name
 
         # temperature
-        if "temperature" in kwargs and isinstance(kwargs["temperature"], float):
+        if "temperature" in kwargs and isinstance(kwargs["temperature"], (int, float)):
             ls_params["ls_temperature"] = kwargs["temperature"]
-        elif hasattr(self, "temperature") and isinstance(self.temperature, float):
+        elif hasattr(self, "temperature") and isinstance(
+            self.temperature, (int, float)
+        ):
             ls_params["ls_temperature"] = self.temperature
 
         # max_tokens
diff --git a/libs/core/langchain_core/language_models/llms.py b/libs/core/langchain_core/language_models/llms.py
index 5aa287ada8e..fa034675d89 100644
--- a/libs/core/langchain_core/language_models/llms.py
+++ b/libs/core/langchain_core/language_models/llms.py
@@ -351,9 +351,11 @@ class BaseLLM(BaseLanguageModel[str], ABC):
             ls_params["ls_model_name"] = self.model_name
 
         # temperature
-        if "temperature" in kwargs and isinstance(kwargs["temperature"], float):
+        if "temperature" in kwargs and isinstance(kwargs["temperature"], (int, float)):
             ls_params["ls_temperature"] = kwargs["temperature"]
-        elif hasattr(self, "temperature") and isinstance(self.temperature, float):
+        elif hasattr(self, "temperature") and isinstance(
+            self.temperature, (int, float)
+        ):
             ls_params["ls_temperature"] = self.temperature
 
         # max_tokens
diff --git a/libs/core/tests/unit_tests/language_models/chat_models/test_base.py b/libs/core/tests/unit_tests/language_models/chat_models/test_base.py
index eedb5d393a8..51fbecb8ffe 100644
--- a/libs/core/tests/unit_tests/language_models/chat_models/test_base.py
+++ b/libs/core/tests/unit_tests/language_models/chat_models/test_base.py
@@ -1213,6 +1213,40 @@ def test_get_ls_params() -> None:
     assert ls_params["ls_stop"] == ["stop"]
 
 
+def test_get_ls_params_int_temperature() -> None:
+    class IntTempModel(BaseChatModel):
+        model: str = "foo"
+        temperature: int = 0
+        max_tokens: int = 1024
+
+        def _generate(
+            self,
+            messages: list[BaseMessage],
+            stop: list[str] | None = None,
+            run_manager: CallbackManagerForLLMRun | None = None,
+            **kwargs: Any,
+        ) -> ChatResult:
+            raise NotImplementedError
+
+        @property
+        def _llm_type(self) -> str:
+            return "fake-chat-model"
+
+    llm = IntTempModel()
+
+    # Integer temperature from self attribute
+    ls_params = llm._get_ls_params()
+    assert ls_params["ls_temperature"] == 0
+
+    # Integer temperature from kwargs
+    ls_params = llm._get_ls_params(temperature=1)
+    assert ls_params["ls_temperature"] == 1
+
+    # Float temperature from kwargs still works
+    ls_params = llm._get_ls_params(temperature=0.5)
+    assert ls_params["ls_temperature"] == 0.5
+
+
 def test_model_profiles() -> None:
     model = GenericFakeChatModel(messages=iter([]))
     assert model.profile is None
diff --git a/libs/core/tests/unit_tests/language_models/llms/test_base.py b/libs/core/tests/unit_tests/language_models/llms/test_base.py
index e5547a617a7..fb2ae8dc321 100644
--- a/libs/core/tests/unit_tests/language_models/llms/test_base.py
+++ b/libs/core/tests/unit_tests/language_models/llms/test_base.py
@@ -277,3 +277,38 @@ def test_get_ls_params() -> None:
 
     ls_params = llm._get_ls_params(stop=["stop"])
     assert ls_params["ls_stop"] == ["stop"]
+
+
+def test_get_ls_params_int_temperature() -> None:
+    class IntTempModel(BaseLLM):
+        model: str = "foo"
+        temperature: int = 0
+        max_tokens: int = 1024
+
+        @override
+        def _generate(
+            self,
+            prompts: list[str],
+            stop: list[str] | None = None,
+            run_manager: CallbackManagerForLLMRun | None = None,
+            **kwargs: Any,
+        ) -> LLMResult:
+            raise NotImplementedError
+
+        @property
+        def _llm_type(self) -> str:
+            return "fake-model"
+
+    llm = IntTempModel()
+
+    # Integer temperature from self attribute
+    ls_params = llm._get_ls_params()
+    assert ls_params["ls_temperature"] == 0
+
+    # Integer temperature from kwargs
+    ls_params = llm._get_ls_params(temperature=1)
+    assert ls_params["ls_temperature"] == 1
+
+    # Float temperature from kwargs still works
+    ls_params = llm._get_ls_params(temperature=0.5)
+    assert ls_params["ls_temperature"] == 0.5