core: autodetect more ls params (#25044)

Co-authored-by: ccurme <chester.curme@gmail.com>

libs/core/langchain_core/language_models/chat_models.py

@@ -522,9 +522,37 @@ class BaseChatModel(BaseLanguageModel[BaseMessage], ABC):
         **kwargs: Any,
     ) -> LangSmithParams:
         """Get standard params for tracing."""
-        ls_params = LangSmithParams(ls_model_type="chat")
+
+        # get default provider from class name
+        default_provider = self.__class__.__name__
+        if default_provider.startswith("Chat"):
+            default_provider = default_provider[4:].lower()
+        elif default_provider.endswith("Chat"):
+            default_provider = default_provider[:-4]
+        default_provider = default_provider.lower()
+
+        ls_params = LangSmithParams(ls_provider=default_provider, ls_model_type="chat")
         if stop:
             ls_params["ls_stop"] = stop
+
+        # model
+        if hasattr(self, "model") and isinstance(self.model, str):
+            ls_params["ls_model_name"] = self.model
+        elif hasattr(self, "model_name") and isinstance(self.model_name, str):
+            ls_params["ls_model_name"] = self.model_name
+
+        # temperature
+        if "temperature" in kwargs and isinstance(kwargs["temperature"], float):
+            ls_params["ls_temperature"] = kwargs["temperature"]
+        elif hasattr(self, "temperature") and isinstance(self.temperature, float):
+            ls_params["ls_temperature"] = self.temperature
+
+        # max_tokens
+        if "max_tokens" in kwargs and isinstance(kwargs["max_tokens"], int):
+            ls_params["ls_max_tokens"] = kwargs["max_tokens"]
+        elif hasattr(self, "max_tokens") and isinstance(self.max_tokens, int):
+            ls_params["ls_max_tokens"] = self.max_tokens
+
         return ls_params
 
     def _get_llm_string(self, stop: Optional[List[str]] = None, **kwargs: Any) -> str: