docs, google-vertex[patch]: function docs (#16231)

docs/docs/integrations/chat/google_vertex_ai_palm.ipynb

@@ -34,28 +34,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "^C\n",
-      "\u001b[31mERROR: Operation cancelled by user\u001b[0m\u001b[31m\n",
-      "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%pip install --upgrade --quiet  langchain-google-vertexai"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -352,6 +342,47 @@
     "pprint(result.generations[0][0].generation_info)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Function Calling with Gemini\n",
+    "\n",
+    "We can call Gemini models with tools."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "MyModel(name='Erick', age=27)"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from langchain.pydantic_v1 import BaseModel\n",
+    "from langchain_google_vertexai import create_structured_runnable\n",
+    "\n",
+    "llm = ChatVertexAI(model_name=\"gemini-pro\")\n",
+    "\n",
+    "\n",
+    "class MyModel(BaseModel):\n",
+    "    name: str\n",
+    "    age: int\n",
+    "\n",
+    "\n",
+    "chain = create_structured_runnable(MyModel, llm)\n",
+    "chain.invoke(\"My name is Erick and I'm 27 years old\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -386,7 +417,7 @@
        "AIMessage(content=' Why do you love programming?')"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }

libs/partners/google-vertexai/langchain_google_vertexai/functions_utils.py

@@ -24,7 +24,7 @@ def _format_pydantic_to_vertex_function(
 
     return {
         "name": schema["title"],
-        "description": schema["description"],
+        "description": schema.get("description", ""),
         "parameters": {
             "properties": {
                 k: {