diff --git a/docs/docs/integrations/chat/openai.ipynb b/docs/docs/integrations/chat/openai.ipynb
index aa905bcca1b..ad289c2ad39 100644
--- a/docs/docs/integrations/chat/openai.ipynb
+++ b/docs/docs/integrations/chat/openai.ipynb
@@ -830,7 +830,7 @@
     "# Initialize model\n",
     "llm = ChatOpenAI(\n",
     "    model=\"computer-use-preview\",\n",
-    "    model_kwargs={\"truncation\": \"auto\"},\n",
+    "    truncation=\"auto\",\n",
     ")\n",
     "\n",
     "# Bind computer-use tool\n",
@@ -1359,7 +1359,7 @@
     "\n",
     "Some OpenAI models will generate separate text content illustrating their reasoning process. See OpenAI's [reasoning documentation](https://platform.openai.com/docs/guides/reasoning?api-mode=responses) for details.\n",
     "\n",
-    "OpenAI can return a summary of the model's reasoning (although it doesn't expose the raw reasoning tokens). To configure `ChatOpenAI` to return this summary, specify the `reasoning` parameter:"
+    "OpenAI can return a summary of the model's reasoning (although it doesn't expose the raw reasoning tokens). To configure `ChatOpenAI` to return this summary, specify the `reasoning` parameter. `ChatOpenAI` will automatically route to the Responses API if this parameter is set."
    ]
   },
   {
@@ -1387,11 +1387,7 @@
     "    \"summary\": \"auto\",  # 'detailed', 'auto', or None\n",
     "}\n",
     "\n",
-    "llm = ChatOpenAI(\n",
-    "    model=\"o4-mini\",\n",
-    "    use_responses_api=True,\n",
-    "    model_kwargs={\"reasoning\": reasoning},\n",
-    ")\n",
+    "llm = ChatOpenAI(model=\"o4-mini\", reasoning=reasoning)\n",
     "response = llm.invoke(\"What is 3^3?\")\n",
     "\n",
     "# Output\n",