diff --git a/docs/docs/integrations/llms/openai.ipynb b/docs/docs/integrations/llms/openai.ipynb
index 7003462af0b..2bd4f6a67d6 100644
--- a/docs/docs/integrations/llms/openai.ipynb
+++ b/docs/docs/integrations/llms/openai.ipynb
@@ -42,18 +42,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "efcdb2b6",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Enter your OpenAI API key:  ········\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import getpass\n",
     "import os\n",
@@ -72,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "52fa46e8",
    "metadata": {},
    "outputs": [],
@@ -122,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "6fb585dd",
    "metadata": {
     "tags": []
@@ -144,17 +136,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "id": "85b49da0",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "\"\\n\\nI'm an AI language model created by OpenAI, so I don't have feelings or emotions. But thank you for asking! How can I assist you today?\""
+       "'\\n\\nI am an AI and do not have emotions like humans do, so I am always functioning at my optimal level. Thank you for asking! How can I assist you today?'"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -173,16 +165,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "id": "a641dbd9",
    "metadata": {
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nIch liebe Programmieren.'"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from langchain_core.prompts import PromptTemplate\n",
     "\n",
-    "prompt = PromptTemplate(\"How to say {input} in {output_language}:\\n\")\n",
+    "prompt = PromptTemplate.from_template(\"How to say {input} in {output_language}:\\n\")\n",
     "\n",
     "chain = prompt | llm\n",
     "chain.invoke(\n",
@@ -205,7 +208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "55142cec",
    "metadata": {},
    "outputs": [],
@@ -221,8 +224,8 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "73e207dd",
+   "cell_type": "raw",
+   "id": "2fd99e97-013f-4c28-bb47-426faa42a2cf",
    "metadata": {},
    "source": [
     "## API reference\n",
@@ -247,7 +250,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.9"
+   "version": "3.11.4"
   },
   "vscode": {
    "interpreter": {