model garden nit (#10194)

docs/extras/integrations/llms/google_vertex_ai_palm.ipynb

@@ -236,7 +236,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "llm_oss = VertexAIModelGarden(\n",
+    "llm = VertexAIModelGarden(\n",
     "    project=\"YOUR PROJECT\",\n",
     "    endpoint_id=\"YOUR ENDPOINT_ID\"\n",
     ")"
@@ -248,14 +248,25 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "llm_oss(\"What is the meaning of life?\")"
+    "llm(\"What is the meaning of life?\")"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can also use it as a chain:"
+    "Like all LLMs, we can then compose it with other components:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.prompts import PromptTemplate\n",
+    "\n",
+    "prompt = PromptTemplate.from_template(\"What is the meaning of {thing}?\")"
    ]
   },
   {
@@ -264,17 +275,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "llm_oss_chain = LLMChain(prompt=prompt, llm=llm_oss(\"What is the meaning of life?\")\n",
-    ")\n",
-    "llm_oss_chain.run(question)"
+    "llm_oss_chain = prompt | llm\n",
+    "\n",
+    "llm_oss_chain.invoke({\"thing\": \"life\"})"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "poetry-venv",
    "language": "python",
-   "name": "python3"
+   "name": "poetry-venv"
   },
   "language_info": {
    "codemirror_mode": {
@@ -286,7 +297,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.9.1"
   },
   "vscode": {
    "interpreter": {