From 9c160e2368f7f44bd41e967a7b3371208cf13a52 Mon Sep 17 00:00:00 2001
From: ccurme <chester.curme@gmail.com>
Date: Wed, 18 Feb 2026 18:19:28 -0500
Subject: [PATCH] revert: accept integer temperature values in _get_ls_params
 (#35319)

---
 .../language_models/chat_models.py            |  6 ++--
 .../langchain_core/language_models/llms.py    |  6 ++--
 .../language_models/chat_models/test_base.py  | 34 ------------------
 .../language_models/llms/test_base.py         | 35 -------------------
 4 files changed, 4 insertions(+), 77 deletions(-)

diff --git a/libs/core/langchain_core/language_models/chat_models.py b/libs/core/langchain_core/language_models/chat_models.py
index 32f198532e6..7e11c491d6f 100644
--- a/libs/core/langchain_core/language_models/chat_models.py
+++ b/libs/core/langchain_core/language_models/chat_models.py
@@ -812,11 +812,9 @@ class BaseChatModel(BaseLanguageModel[AIMessage], ABC):
             ls_params["ls_model_name"] = self.model_name
 
         # temperature
-        if "temperature" in kwargs and isinstance(kwargs["temperature"], (int, float)):
+        if "temperature" in kwargs and isinstance(kwargs["temperature"], float):
             ls_params["ls_temperature"] = kwargs["temperature"]
-        elif hasattr(self, "temperature") and isinstance(
-            self.temperature, (int, float)
-        ):
+        elif hasattr(self, "temperature") and isinstance(self.temperature, 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 fa034675d89..5aa287ada8e 100644
--- a/libs/core/langchain_core/language_models/llms.py
+++ b/libs/core/langchain_core/language_models/llms.py
@@ -351,11 +351,9 @@ class BaseLLM(BaseLanguageModel[str], ABC):
             ls_params["ls_model_name"] = self.model_name
 
         # temperature
-        if "temperature" in kwargs and isinstance(kwargs["temperature"], (int, float)):
+        if "temperature" in kwargs and isinstance(kwargs["temperature"], float):
             ls_params["ls_temperature"] = kwargs["temperature"]
-        elif hasattr(self, "temperature") and isinstance(
-            self.temperature, (int, float)
-        ):
+        elif hasattr(self, "temperature") and isinstance(self.temperature, 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 51fbecb8ffe..eedb5d393a8 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
@@ -1213,40 +1213,6 @@ 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 fb2ae8dc321..e5547a617a7 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
@@ -277,38 +277,3 @@ 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