Remove default temperature for ChatDatabricks

integrations/langchain/src/databricks_langchain/chat_models.py

@@ -214,7 +214,7 @@ class GetPopulation(BaseModel):
     """Name of Databricks Model Serving endpoint to query."""
     target_uri: str = "databricks"
     """The target URI to use. Defaults to ``databricks``."""
-    temperature: float = 0.0
+    temperature: Optional[float] = 0.0
     """Sampling temperature. Higher values make the model more creative."""
     n: int = 1
     """The number of completion choices to generate."""
@@ -252,20 +252,32 @@ def endpoint(self, value: str) -> None:
 
     def __init__(self, **kwargs: Any):
         super().__init__(**kwargs)
+        if "temperature" not in kwargs:
+            warnings.warn(
+                "Currently, temperature defaults to 0.0 if not specified. "
+                "In the next release, temperature will need to be explicitly set. "
+                "Please update your code to specify a temperature value.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
         self.client = get_deployment_client(self.target_uri)
         self.extra_params = self.extra_params or {}
 
     @property
     def _default_params(self) -> Dict[str, Any]:
-        params: Dict[str, Any] = {
-            "target_uri": self.target_uri,
-            "model": self.model,
+        exclude_if_none = {
             "temperature": self.temperature,
             "n": self.n,
             "stop": self.stop,
             "max_tokens": self.max_tokens,
             "extra_params": self.extra_params,
         }
+
+        params = {
+            "model": self.model,
+            "target_uri": self.target_uri,
+            **{k: v for k, v in exclude_if_none.items() if v is not None},
+        }
         return params
 
     def _generate(
@@ -287,11 +299,12 @@ def _prepare_inputs(
     ) -> Dict[str, Any]:
         data: Dict[str, Any] = {
             "messages": [_convert_message_to_dict(msg) for msg in messages],
-            "temperature": self.temperature,
             "n": self.n,
             **self.extra_params,  # type: ignore
             **kwargs,
         }
+        if self.temperature is not None:
+            data["temperature"] = self.temperature
         if stop := self.stop or stop:
             data["stop"] = stop
         if self.max_tokens is not None:
@@ -620,7 +633,7 @@ class AnswerWithJustification(BaseModel):
         if method == "function_calling":
             if schema is None:
                 raise ValueError(
-                    "schema must be specified when method is 'function_calling'. " "Received None."
+                    "schema must be specified when method is 'function_calling'. Received None."
                 )
             tool_name = convert_to_openai_tool(schema)["function"]["name"]
             llm = self.bind_tools([schema], tool_choice=tool_name)
@@ -641,7 +654,7 @@ class AnswerWithJustification(BaseModel):
         elif method == "json_schema":
             if schema is None:
                 raise ValueError(
-                    "schema must be specified when method is 'json_schema'. " "Received None."
+                    "schema must be specified when method is 'json_schema'. Received None."
                 )
             response_format = {
                 "type": "json_schema",