addressed comments

3p-integrations/gcp/vertex_MaaS/Vertex_tool_calling_for_Llama_4.ipynb

@@ -27,8 +27,16 @@
         "\n",
         "# **Objectives**\n",
         "\n",
-        "In this tutorial, you will learn how to use either OpenAI SDK or Vertex AI SDK in Python to make function calls via the Llama 4 Maverick model on Vertex AI. We will use a currency exchange function as an example, you can replace it with another function with the right functionality for you.\n",
-        "This tutorial is based on this Vertex AI codelab: https://codelabs.developers.google.com/codelabs/gemini-function-calling"
+        "In this tutorial, you will learn how to use either OpenAI SDK or Vertex AI SDK in Python to make function calls via the Llama 4 Maverick fully managed model on Vertex AI.\n",
+        " See here for more info on using the [OpenAI SDK with Vertex](https://cloud.google.com/vertex-ai/generative-ai/docs/migrate/openai/overview#:~:text=The%20Chat%20Completions%20API%20works,the%20Google%20Gen%20AI%20SDK.), as well as recommendations on when to use OpenAI SDK vs. Vertex AI SDK.\n",
+        "\n",
+        "We will use a currency exchange function as an example, you can replace it with another function with the right functionality for you.\n",
+        "This tutorial is based on this Vertex AI codelab: https://codelabs.developers.google.com/codelabs/gemini-function-calling\n",
+        "\n",
+        "# **Setup and Relevant Links**\n",
+        "Llama on Vertex AI (fully managed): https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/llama\n",
+        "\n",
+        "Official docs from Vertex on tool calling with Llama coming soon.\n"
       ],
       "metadata": {
         "id": "JIVs8gXB1Auw"
@@ -76,7 +84,7 @@
         "if not project_id or project_id == \"[your-project-id]\":\n",
         "    project_id = str(os.environ.get(\"GOOGLE_CLOUD_PROJECT\"))\n",
         "\n",
-        "location = os.environ.get(\"GOOGLE_CLOUD_REGION\", \"us-central1\")\n",
+        "location = os.environ.get(\"GOOGLE_CLOUD_REGION\", \"us-east5\")\n",
         "\n",
         "# run gcloud auth print-access-token from terminal to get this\n",
         "access_token = \"\"\n",
@@ -465,6 +473,25 @@
           ]
         }
       ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# **Congrats and conclusion**\n",
+        "\n",
+        "Leveraging function calling via Llama 4 in Vertex AI, you've successfully built a generative AI pipeline that uses the OpenAI and/or Vertex AI SDK! Users can ask about exchange rates, and the system will fetch the latest data from an external API and respond with an answer.\n",
+        "\n",
+        "Given a prompt from an end-user, Llama takes care of selecting the appropriate function, extracting parameters from the prompt, and returning a structured data object for you to make an external API call.\n",
+        "\n",
+        "\n",
+        "# **Cleanup**\n",
+        "You can perform the following cleanup to avoid incurring charges to your Google Cloud account for the resources used in this codelab:\n",
+        "*   To avoid unnecessary Google Cloud charges, use the Google Cloud console to  delete your project if you do not need it.\n",
+        "*   If you want to disable the APIs for Vertex AI, navigate to the Vertex AI API Service Details page and click Disable API and confirm.\n"
+      ],
+      "metadata": {
+        "id": "pT9Cf6TtAgX7"
+      }
     }
   ]
 }