From 02f79be7271d0c7709c683f6ffa9fa48c74fa9dc Mon Sep 17 00:00:00 2001
From: Kanch <kanchpat@users.noreply.github.com>
Date: Thu, 19 Dec 2024 19:13:07 -0500
Subject: [PATCH 1/2] Agent Build and Deploy - New

Function Calling , Vertex AI Search, Vertex Extensions
---
 ...ing_and_deploying_agents_with_gemini.ipynb | 851 ++++++++++++++++++
 1 file changed, 851 insertions(+)
 create mode 100644 genai-on-vertex-ai/agents/reasoning_engine/building_and_deploying_agents_with_gemini.ipynb

diff --git a/genai-on-vertex-ai/agents/reasoning_engine/building_and_deploying_agents_with_gemini.ipynb b/genai-on-vertex-ai/agents/reasoning_engine/building_and_deploying_agents_with_gemini.ipynb
new file mode 100644
index 00000000..e4dc78ed
--- /dev/null
+++ b/genai-on-vertex-ai/agents/reasoning_engine/building_and_deploying_agents_with_gemini.ipynb
@@ -0,0 +1,851 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "ijGzTHJJUCPY",
+        "tags": []
+      },
+      "outputs": [],
+      "source": [
+        "# Copyright 2024 Google LLC\n",
+        "#\n",
+        "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
+        "# you may not use this file except in compliance with the License.\n",
+        "# You may obtain a copy of the License at\n",
+        "#\n",
+        "#     https://www.apache.org/licenses/LICENSE-2.0\n",
+        "#\n",
+        "# Unless required by applicable law or agreed to in writing, software\n",
+        "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
+        "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
+        "# See the License for the specific language governing permissions and\n",
+        "# limitations under the License."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "VEqbX8OhE8y9"
+      },
+      "source": [
+        "# Intro to Building and Deploying an Agent with Gemini\n",
+        "\n",
+        "Features demonstrated\n",
+        "\n",
+        "a) Gemini with Grounding with Google Search\n",
+        "\n",
+        "b) Gemini with Vertex AI Search for RAG\n",
+        "\n",
+        "b) Gemini with function calling with Extensions and API call\n",
+        "\n",
+        "c) Gemini with LangChain Agent through Reasoning Engine , Extensions and API call\n",
+        "\n",
+        "Google Cloud Products\n",
+        "- Vertex Reasoning Engine\n",
+        "- Vertex AI Extensions\n",
+        "- Vertex AI Search\n",
+        "- Gemini API"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "H6qT2pXWVXvx"
+      },
+      "source": [
+        "![Agent Options.png](data:image/png;base64,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)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "ynTK_yS8VeZ0"
+      },
+      "source": [
+        "We will be discussing the multiple ways you can extend Gemini with really no Agentic frameworks, then will jump to LangChain"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "6bz4BN5auhVz"
+      },
+      "source": [
+        "| | |\n",
+        "|-|-|\n",
+        "|Author(s) | [Kanchana Patlolla](https://linkedin.com/in/kanchanapatlolla) |"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "DrkcqHrrwMAo",
+        "jp-MarkdownHeadingCollapsed": true
+      },
+      "source": [
+        "### Objectives\n",
+        "\n",
+        "In this tutorial, you will learn how to build and deploy an agent (model, tools, and reasoning) using the Vertex AI SDK for Python.\n",
+        "\n",
+        "You'll build and deploy an agent that uses the Gemini Pro model, Python functions as tools, Vertex AI Search for grounding and as an extension.\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "r11Gu7qNgx1p"
+      },
+      "source": [
+        "## Getting Started\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "No17Cw5hgx12"
+      },
+      "source": [
+        "### Install Vertex AI SDK for Python\n",
+        "\n",
+        "Install the latest version of the Vertex AI SDK for Python as well as extra dependencies related to:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "tFy3H3aPgx12",
+        "tags": []
+      },
+      "outputs": [],
+      "source": [
+        "%pip install --upgrade --quiet \\\n",
+        "    \"google-cloud-aiplatform[langchain,reasoningengine]\" \\\n",
+        "\n",
+        "%pip show google-cloud-aiplatform"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "R5Xep4W9lq-Z"
+      },
+      "source": [
+        "### Restart current runtime\n",
+        "\n",
+        "To use the newly installed packages in this Jupyter runtime, you must restart the runtime. You can do this by running the cell below, which will restart the current kernel."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "XRvKdaPDTznN",
+        "tags": []
+      },
+      "outputs": [],
+      "source": [
+        "# Restart kernel after installs so that your environment can access the new packages\n",
+        "import IPython\n",
+        "\n",
+        "app = IPython.Application.instance()\n",
+        "app.kernel.do_shutdown(True)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "SbmM4z7FOBpM"
+      },
+      "source": [
+        "<div class=\"alert alert-block alert-warning\">\n",
+        "<b>⚠️ The kernel is going to restart. Please wait until it is finished before continuing to the next step. ⚠️</b>\n",
+        "</div>\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "dmWOrTJ3gx13"
+      },
+      "source": [
+        "### Authenticate your notebook environment (Colab only)\n",
+        "\n",
+        "If you are running this notebook on Google Colab, run the following cell to authenticate your environment. This step is not required if you are using [Vertex AI Workbench](https://cloud.google.com/vertex-ai-workbench)."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "NyKGtVQjgx13",
+        "tags": []
+      },
+      "outputs": [],
+      "source": [
+        "import sys\n",
+        "\n",
+        "if \"google.colab\" in sys.modules:\n",
+        "    from google.colab import auth\n",
+        "\n",
+        "    auth.authenticate_user()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "DF4l8DTdWgPY"
+      },
+      "source": [
+        "### Set Google Cloud project information and initialize Vertex AI SDK\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Nqwi-5ufWp_B",
+        "tags": []
+      },
+      "outputs": [],
+      "source": [
+        "PROJECT_ID = \"\"  # @param {type:\"string\"}\n",
+        "LOCATION = \"\"  # @param {type:\"string\"}\n",
+        "STAGING_BUCKET = \"\"  # @param {type:\"string\"}\n",
+        "\n",
+        "# prefix staging_bucket with gs://\n",
+        "\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "BIHDrr6qQ7dt"
+      },
+      "outputs": [],
+      "source": [
+        "import vertexai\n",
+        "from vertexai.generative_models import (\n",
+        "    FunctionDeclaration,\n",
+        "    GenerativeModel,\n",
+        "    Tool,\n",
+        "    grounding,\n",
+        ")\n",
+        "\n",
+        "\n",
+        "\n",
+        "from vertexai.preview.generative_models import grounding as preview_grounding\n",
+        "\n",
+        "\n",
+        "vertexai.init(project=PROJECT_ID, location=LOCATION, staging_bucket=STAGING_BUCKET)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "f18DPyoOuhWD"
+      },
+      "source": [
+        "## Example: Build and deploy an agent"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "jXHfaVS66_01"
+      },
+      "source": [
+        "### Import libraries"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "lslYAvw37JGQ",
+        "tags": []
+      },
+      "outputs": [],
+      "source": [
+        "from vertexai.preview import extensions"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "B2SSQT3guhWD"
+      },
+      "source": [
+        "### Define model"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "FkysbfbaQtMh"
+      },
+      "source": [
+        "Here we define what the model would do\n",
+        "You had system_instruction to emphasize the needs\n",
+        "generation_config you can [add](https://cloud.google.com/vertex-ai/generative-ai/docs/reference/python/latest/vertexai.generative_models.GenerationConfig) multiple values\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Ry8Y0UppuhWE"
+      },
+      "outputs": [],
+      "source": [
+        "model = GenerativeModel(\n",
+        "    \"gemini-1.5-flash\",\n",
+        "    system_instruction=[\n",
+        "        \"\"\"You are an assistant that helps me search things. Please be accurate. \"\"\"\n",
+        "    ],\n",
+        "    generation_config={\"temperature\": 0.0},\n",
+        "      )\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "yVghCpQOgyDf"
+      },
+      "source": [
+        "# Google Search as a Tool\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "vc8QIJtARv1k"
+      },
+      "source": [
+        "Here we reference the tool (from_google_search_retrieval) and pass the prompt for generation of content\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "zIuk-otOG-Hs"
+      },
+      "outputs": [],
+      "source": [
+        "PROMPT = \"What is the capital of India\"\n",
+        "google_search_tool = Tool.from_google_search_retrieval(grounding.GoogleSearchRetrieval())\n",
+        "response = model.generate_content(PROMPT, tools=[google_search_tool])\n",
+        "print(response.candidates[0].content)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "gudexGsQF5Bu"
+      },
+      "source": [
+        "# RAG with Vertex AI Search"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "P3fC61C_TQnK"
+      },
+      "source": [
+        "Here we reference Vertex AI Search to pass a set of documents\n",
+        "and search the content"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "6Co7fWx-SCM6"
+      },
+      "source": [
+        "To execute the below you would need Search App id and Search App Region\n",
+        "\n",
+        "Visit how to create Search data Store [here](https://cloud.google.com/generative-ai-app-builder/docs/try-enterprise-search#create_a_data_store)\n",
+        "\n",
+        "Upload files you would like"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "LDsUWLamHMAq"
+      },
+      "outputs": [],
+      "source": [
+        "SEARCH_APP_REGION = \"global\"\n",
+        "SEARCH_APP_ID = \"\"  # @param {type:\"string\"}\n",
+        "PROMPT = \"What is the operating income in 2024\"\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "R8cf9QquJIZ5"
+      },
+      "outputs": [],
+      "source": [
+        "vertex_search_tool = Tool.from_retrieval(\n",
+        "    preview_grounding.Retrieval(\n",
+        "        preview_grounding.VertexAISearch(\n",
+        "            datastore=SEARCH_APP_ID,\n",
+        "            project=PROJECT_ID,\n",
+        "            location=SEARCH_APP_REGION,\n",
+        "        )\n",
+        "    )\n",
+        ")\n",
+        "\n",
+        "response = model.generate_content(PROMPT, tools=[vertex_search_tool])\n",
+        "\n",
+        "print(response)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "66a2PmdEg-Qo"
+      },
+      "source": [
+        "# Multiple Tools with Function calling"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "FCJ5QRVUSbQF"
+      },
+      "source": [
+        "In this section, we attempt to show multiple functions can be defined as tools\n",
+        "Function 1: google_query_info -> Retrieves information from the Vertex AI Search part of the RAG\n",
+        "Function 2: get_exchange_rate -> calls the API to get current exchange information\n",
+        "\n",
+        "Both functions are used as tools in one agent. Agent does the reasoning to call the specific functions"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "TZX2uZApTyDQ"
+      },
+      "source": [
+        "I create an extension to show case that you can leverage extensions from hub ([Overview](https://cloud.google.com/vertex-ai/generative-ai/docs/extensions/overview))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "T7hXQhr9RVV0"
+      },
+      "outputs": [],
+      "source": [
+        "\n",
+        "# Construct an object that points to the relevant data store.\n",
+        "DATASTORE = f\"projects/{PROJECT_ID}/locations/global/collections/default_collection/dataStores/{SEARCH_APP_ID}/servingConfigs/default_search\"\n",
+        "\n",
+        "# Instantiate extension.\n",
+        "extension_vertex_ai_search = extensions.Extension.from_hub(\n",
+        "    \"vertex_ai_search\",\n",
+        "    runtime_config={\n",
+        "        \"vertex_ai_search_runtime_config\": {\n",
+        "            \"serving_config_name\": DATASTORE,\n",
+        "        }\n",
+        "    })\n",
+        "\n",
+        "extension_vertex_ai_search"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "_-6Cwaa_pDUZ"
+      },
+      "outputs": [],
+      "source": [
+        "resource = extension_vertex_ai_search.resource_name"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "NNoohTM8UQxu"
+      },
+      "source": [
+        "Here we define a simple python function, make it descriptive enough to understand what the input and output types are"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "NEDaPvYyG1KH"
+      },
+      "outputs": [],
+      "source": [
+        "def google_query_info(query: str = \"Who is the CEO\",) -> str:\n",
+        "    \"\"\"\n",
+        "    Queries quarterly reports from Alphabet using Vertex AI Search datastore.\n",
+        "\n",
+        "    This function utilizes the Vertex AI Search extension to retrieve information\n",
+        "    from Alphabet's quarterly reports based on a provided natural language query.\n",
+        "\n",
+        "    For example:\n",
+        "\n",
+        "    ```python\n",
+        "    google_query_info(query=\"who is the CEO?\")\n",
+        "    ```\n",
+        "\n",
+        "    Args:\n",
+        "      query: The natural language query to be submitted to the Vertex AI Search extension.\n",
+        "\n",
+        "    Returns:\n",
+        "      A dictionary containing the top extractive answer from the Vertex AI Search\n",
+        "      results. The dictionary includes fields such as the answer text and its\n",
+        "      source document.\n",
+        "\n",
+        "    Raises:\n",
+        "      ValueError: If the query is empty or invalid.\n",
+        "      RuntimeError: If there are errors connecting to the Vertex AI Search extension.\n",
+        "    \"\"\"\n",
+        "\n",
+        "    print(query)\n",
+        "\n",
+        "    extension_vertex_ai_search = extensions.Extension(resource)\n",
+        "\n",
+        "    vertex_ai_search_response = extension_vertex_ai_search.execute(\n",
+        "        operation_id=\"search\",\n",
+        "        operation_params={\"query\": query},)\n",
+        "\n",
+        "    list_extractive_answers = []\n",
+        "    for i in vertex_ai_search_response:\n",
+        "        list_extractive_answers.append(i[\"extractive_answers\"][0])\n",
+        "    return (i[\"extractive_answers\"][0])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "paU4wiZqUThl"
+      },
+      "source": [
+        "Similar to above, define the python function that is well defined"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "UgMR5PAaHWaa"
+      },
+      "outputs": [],
+      "source": [
+        "def get_exchange_rate(\n",
+        "    currency_from: str = \"USD\",\n",
+        "    currency_to: str = \"EUR\",\n",
+        "    currency_date: str = \"latest\",\n",
+        "):\n",
+        "    \"\"\"Retrieves the exchange rate between two currencies on a specified date.\"\"\"\n",
+        "    import requests\n",
+        "\n",
+        "    response = requests.get(\n",
+        "        f\"https://api.frankfurter.app/{currency_date}\",\n",
+        "        params={\"from\": currency_from, \"to\": currency_to},\n",
+        "    )\n",
+        "    return response.json()"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "NJhmMf5KUY0_"
+      },
+      "source": [
+        "Function declaration for the OpenAPI schema. Here we define the input/output parameter declaration"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "TGhPwoKmI6BN"
+      },
+      "outputs": [],
+      "source": [
+        "get_exchange_func = FunctionDeclaration(\n",
+        "    name=\"get_exchange_rate\",\n",
+        "    description=\"Getting Exchange Rate\",\n",
+        "    parameters={\n",
+        "        \"type\": \"object\",\n",
+        "        \"properties\": {\n",
+        "            \"currency_from\": {\"type\": \"string\", \"description\": \"Currency from\"},\n",
+        "            \"currency_to\": {\"type\": \"string\", \"description\": \"Currency to\"},\n",
+        "            \"latest\": {\"type\": \"string\", \"description\": \"Date for conversion\"},\n",
+        "        },\n",
+        "    },\n",
+        ")\n",
+        "\n",
+        "\n",
+        "google_query_func = FunctionDeclaration(\n",
+        "    name=\"google_query_info\",\n",
+        "    description=\"Vertex AI Search for Google Quarterly release\",\n",
+        "    parameters={\n",
+        "        \"type\": \"object\",\n",
+        "        \"properties\": {\n",
+        "            \"query\": {\"type\": \"string\", \"description\": \"Query\"},\n",
+        "            \"results\": {\"type\": \"string\", \"description\": \"return of results\"},\n",
+        "        },\n",
+        "    },\n",
+        ")\n"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "V1JSAr_kUiLR"
+      },
+      "source": [
+        "Here we define a tool based on the open API schema function definitions"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "DDYIDQNEIbHh"
+      },
+      "outputs": [],
+      "source": [
+        "exchange_searchtool = Tool(\n",
+        "    function_declarations=[get_exchange_func , google_query_func]\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "U3Z9FQwXIqWb"
+      },
+      "outputs": [],
+      "source": [
+        "PROMPT = \"What is Google's operating income in 2024\"\n",
+        "\n",
+        "response = model.generate_content(PROMPT, tools=[exchange_searchtool])\n",
+        "print(response.candidates[0].content.parts[0])\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "_tEgMtwiJ_yP"
+      },
+      "outputs": [],
+      "source": [
+        "\n",
+        "PROMPT = \"What is the rate for USD to EUR\"\n",
+        "\n",
+        "response = model.generate_content(PROMPT, tools=[exchange_searchtool])\n",
+        "print(response.candidates[0].content)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "WACnDKKuGw2k"
+      },
+      "source": [
+        "# With LangChain OSS"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Cll2MfYzUyoE"
+      },
+      "source": [
+        "In this we leverage LangChain agents through Vertex AI Reasoning Engine"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "M8iTRjsIKyzK"
+      },
+      "outputs": [],
+      "source": [
+        "from vertexai.preview import reasoning_engines"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "F_RaLR3mKOY_"
+      },
+      "outputs": [],
+      "source": [
+        "agent = reasoning_engines.LangchainAgent(\n",
+        "    model=\"gemini-1.5-pro\",\n",
+        "    tools=[get_exchange_rate , google_query_info],\n",
+        "    enable_tracing=True,\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "3jeM3PCPLFbO"
+      },
+      "outputs": [],
+      "source": [
+        "agent.query(input=\"What's the exchange rate from US dollars to Swedish currency today?\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "2x5jbordoaY0"
+      },
+      "outputs": [],
+      "source": [
+        "agent.query(input=\"What is the operating income in 2024\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "GmC9UQBNOMrM"
+      },
+      "outputs": [],
+      "source": [
+        "remote_agent = reasoning_engines.ReasoningEngine.create(\n",
+        "    agent,\n",
+        "    requirements=[\n",
+        "        \"google-cloud-aiplatform[langchain,reasoningengine]\",\n",
+        "    ],\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Tn0I5UHoOjy2"
+      },
+      "outputs": [],
+      "source": [
+        "remote_agent.query(\n",
+        "    input=\"What's the exchange rate from US dollars to Swedish currency today?\"\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Vvunu-wIOlhB"
+      },
+      "outputs": [],
+      "source": [
+        "remote_agent.query(\n",
+        "    input=\"What is the operating income in 2024\"\n",
+        ")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "0QvQBVEVuhWI"
+      },
+      "source": [
+        "Now we can test the model and agent behavior to ensure that it's working as expected before we deploy it:"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "fsN0si4iuhWJ"
+      },
+      "source": [
+        "\n",
+        "\n",
+        "### Clean up\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "hWrMRZJwhkz6"
+      },
+      "outputs": [],
+      "source": [
+        "extension_vertex_ai_search.delete()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "X_gmoSedPf-n"
+      },
+      "outputs": [],
+      "source": [
+        "remote_agent.delete()\n"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "environment": {
+      "kernel": "conda-root-py",
+      "name": "workbench-notebooks.m115",
+      "type": "gcloud",
+      "uri": "gcr.io/deeplearning-platform-release/workbench-notebooks:m115"
+    },
+    "kernelspec": {
+      "display_name": "Python 3 (ipykernel)",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.11.8"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}

From 8f584852a60d4e8d95704117bbb841a42a196a65 Mon Sep 17 00:00:00 2001
From: Kanch <kanchpat@users.noreply.github.com>
Date: Thu, 19 Dec 2024 19:19:24 -0500
Subject: [PATCH 2/2] Update allow.txt

---
 .github/actions/spelling/allow.txt | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/actions/spelling/allow.txt b/.github/actions/spelling/allow.txt
index 6954e9c0..6da969f5 100644
--- a/.github/actions/spelling/allow.txt
+++ b/.github/actions/spelling/allow.txt
@@ -212,6 +212,7 @@ Kaggle
 Kalamang
 Kamradt
 Kanagawa
+Kanchana
 Katelyn
 Kaufmanns
 Kawagoe
@@ -318,6 +319,7 @@ PLOTLYENV
 PPO
 PYINK
 Pakeman
+Patlolla
 Paquete
 Parmar
 Pengyu
@@ -1136,4 +1138,4 @@ ytd
 yticks
 zakarid
 zaxis
-Thallam
\ No newline at end of file
+Thallam