diff --git a/libs/community/langchain_community/llms/watsonxllm.py b/libs/community/langchain_community/llms/watsonxllm.py
index 380628f5ef3..d60c7284600 100644
--- a/libs/community/langchain_community/llms/watsonxllm.py
+++ b/libs/community/langchain_community/llms/watsonxllm.py
@@ -249,6 +249,12 @@ class WatsonxLLM(BaseLLM):
             "input_token_count": input_token_count,
         }
 
+    def _get_chat_params(self, stop: Optional[List[str]] = None) -> Dict[str, Any]:
+        params: Dict[str, Any] = {**self.params} if self.params else None
+        if stop is not None:
+            params = (params or {}) | {"stop_sequences": stop}
+        return params
+
     def _create_llm_result(self, response: List[dict]) -> LLMResult:
         """Create the LLMResult from the choices and prompts."""
         generations = []
@@ -334,11 +340,7 @@ class WatsonxLLM(BaseLLM):
 
                 response = watsonx_llm.generate(["What is a molecule"])
         """
-        if stop:
-            if self.params:
-                self.params.update({"stop_sequences": stop})
-            else:
-                self.params = {"stop_sequences": stop}
+        params = self._get_chat_params(stop=stop)
         should_stream = stream if stream is not None else self.streaming
         if should_stream:
             if len(prompts) > 1:
@@ -360,7 +362,7 @@ class WatsonxLLM(BaseLLM):
                 return LLMResult(generations=[[generation]], llm_output=llm_output)
             return LLMResult(generations=[[generation]])
         else:
-            response = self.watsonx_model.generate(prompt=prompts, params=self.params)
+            response = self.watsonx_model.generate(prompt=prompts, params=params)
             return self._create_llm_result(response)
 
     def _stream(
@@ -384,13 +386,9 @@ class WatsonxLLM(BaseLLM):
                 for chunk in response:
                     print(chunk, end='')
         """
-        if stop:
-            if self.params:
-                self.params.update({"stop_sequences": stop})
-            else:
-                self.params = {"stop_sequences": stop}
+        params = self._get_chat_params(stop=stop)
         for stream_resp in self.watsonx_model.generate_text_stream(
-            prompt=prompt, raw_response=True, params=self.params
+            prompt=prompt, raw_response=True, params=params
         ):
             chunk = self._stream_response_to_generation_chunk(stream_resp)
             yield chunk