diff --git a/libs/partners/xai/langchain_xai/chat_models.py b/libs/partners/xai/langchain_xai/chat_models.py
index 0081a734cf3..1e4d308f9af 100644
--- a/libs/partners/xai/langchain_xai/chat_models.py
+++ b/libs/partners/xai/langchain_xai/chat_models.py
@@ -7,7 +7,6 @@ from typing import (
     Optional,
 )
 
-import openai
 from langchain_core.language_models.chat_models import LangSmithParams
 from langchain_core.utils import secret_from_env
 from langchain_openai.chat_models.base import BaseChatOpenAI
@@ -325,7 +324,7 @@ class ChatXAI(BaseChatOpenAI):  # type: ignore[override]
         if self.n is not None and self.n > 1 and self.streaming:
             raise ValueError("n must be 1 when streaming.")
 
-        client_params: dict = {
+        self._client_params: dict = {
             "api_key": (
                 self.xai_api_key.get_secret_value() if self.xai_api_key else None
             ),
@@ -335,27 +334,12 @@ class ChatXAI(BaseChatOpenAI):  # type: ignore[override]
             "default_query": self.default_query,
         }
         if self.max_retries is not None:
-            client_params["max_retries"] = self.max_retries
+            self._client_params["max_retries"] = self.max_retries
 
-        if client_params["api_key"] is None:
+        if self._client_params["api_key"] is None:
             raise ValueError(
                 "xAI API key is not set. Please set it in the `xai_api_key` field or "
                 "in the `XAI_API_KEY` environment variable."
             )
 
-        if not (self.client or None):
-            sync_specific: dict = {"http_client": self.http_client}
-            self.client = openai.OpenAI(
-                **client_params, **sync_specific
-            ).chat.completions
-            self.root_client = openai.OpenAI(**client_params, **sync_specific)
-        if not (self.async_client or None):
-            async_specific: dict = {"http_client": self.http_async_client}
-            self.async_client = openai.AsyncOpenAI(
-                **client_params, **async_specific
-            ).chat.completions
-            self.root_async_client = openai.AsyncOpenAI(
-                **client_params,
-                **async_specific,
-            )
         return self