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jscontroller="kxO7ab"><section class="nRhiJb-DARUcf"><div class="Wdmc0c nRhiJb-DbgRPb-wNfPc-cGMI2b"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c nRhiJb-BFbNVe-r8s4j-bMElCd dIsJJe" track-name="developers & practitioners"track-type="tag">Developers & Practitioners</div><div class="nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-R6PoUb"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-EehZO nRhiJb-fmcmS-oXtfBe"><h1 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><span class="FewWi"></span>Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide</div></h1></div></div><div class="nRhiJb-fmcmS-oXtfBe dEogG">November 23, 2024</div></div></section><div class="EKklye"><div class="nRhiJb-DARUcf ZWw7T"><div class="npzWPc"><div class="dzoHJ"><div class="nRhiJb-DX2B6 nRhiJb-DX2B6-OWXEXe-h30Snd"><div class="nRhiJb-j5y3u"><ul class="nRhiJb-Qijihe phRaUe" role="list"><li class="hpHPGf"><a 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rail"track-metadata-module_headline="google cloud summit series" track-name="register"track-type="button"track-metadata-position="cta"track-metadata-eventdetail="cloudonair.withgoogle.com/summit_series_24?utm_source=cgc-blog&utm_medium=blog&utm_campaign=summit-series-2024&utm_content=summit-series-left-hand-rail-cta&utm_term=-">Register </a></div></div><div class="OYL9D nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf" jsname="tx2NYc"><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><a href="https://deepmind.google/technologies/gemini/pro/" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">Gemini 1.5 Pro</span></a><span style="vertical-align:baseline"> is creating new possibilities for developers to build AI agents that streamline the customer experience. In this post, we'll focus on a practical application that has emerged in the travel industry – building an AI-powered trip planning agent. You'll learn how to connect your agent to external data sources like event APIs, enabling it to generate personalized travel itineraries based on real-time information.</span></p> <h3><strong style="vertical-align:baseline">Understanding the core concepts</strong></h3> <ul> <li><strong style="vertical-align:baseline">Function calling</strong><span style="vertical-align:baseline">: Allows developers to connect Gemini models (all Gemini models except Gemini 1.0 Pro Vision) with external systems, APIs, and data sources. This enables the AI to retrieve real-time information and perform actions, making it more dynamic and versatile.</span></li> <li><strong style="vertical-align:baseline">Grounding</strong><span style="vertical-align:baseline">: Enhances Gemini' model’s ability to access and process information from external sources like documents, knowledge bases, and the web, leading to more accurate and up-to-date responses.</span></li> </ul> <p><span style="vertical-align:baseline">By combining these features, we can create an AI agent that can understand user requests, retrieve relevant information from the web, and provide personalized recommendations.</span></p></span></section><section class="k6ctOd"><aside class="IwVNTb"><div class="ecJG2e nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf nRhiJb-snVHke-ibL1re-X66g3b nRhiJb-snVHke-R6PoUb-UFsB2c"><h4 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">$300 in free credit to try Google Cloud developer tools</h4><p class="nRhiJb-qJTHM nRhiJb-DbgRPb-R6PoUb-ma6Yeb"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>Build and test your proof of concept with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including AI APIs.</p></span></p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-MNynB-o6Shpd LZTd1c" href="http://console.cloud.google.com/freetrial?redirectPath=/welcome" target="_blank" rel="noopener" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/welcome"track-metadata-module="aside"track-metadata-module_headline="$300 in free credit to try google cloud developer tools" track-name="start building for free"track-type="button"track-metadata-position="body"track-metadata-eventdetail="http://console.cloud.google.com/freetrial?redirectPath=/welcome">Start building for free </a></div></div></aside></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Step-by-step: Function calling with grounding</strong></h3> <p><span style="vertical-align:baseline">Let’s run through a scenario:</span></p> <p><span style="vertical-align:baseline">Let’s say you’re an AI engineer tasked with creating an AI agent that helps users plan trips by finding local events and potential hotels to stay at. Your company has given you full creative freedom to build a minimal viable product using Google’s generative AI products, so you’ve chosen to use Gemini 1.5 Pro and loop in other external APIs. </span></p> <p><span style="vertical-align:baseline">The first step is to define potential queries that any user might enter into the Gemini chat. This will help clarify development requirements and ensure the final product meets the standards of both users and stakeholders. Here are some examples:</span></p> <ul> <li><span style="vertical-align:baseline">“I’m bored, what is there to do today?”</span></li> <li><span style="vertical-align:baseline">“I would like to take me and my two kids somewhere warm because spring break starts next week. Where should I take them?”</span></li> <li><span style="vertical-align:baseline">“My friend will be moving to Atlanta soon for a job. What fun events do they have going on during the weekends?”</span></li> </ul> <p><span style="vertical-align:baseline">From these sample queries, it looks like we’ll need to use an events API and a hotels API for localized information. Next, let’s set up our development environment.</span></p> <h3><strong style="vertical-align:baseline">Notebook setup</strong></h3> <p><span style="vertical-align:baseline">To use Gemini 1.5 Pro for development, you’ll need to either create or use an existing project in Google Cloud. </span><a href="https://cloud.google.com/resource-manager/docs/creating-managing-projects"><span style="text-decoration:underline;vertical-align:baseline">Follow the official instructions that are linked here before continuing</span></a><span style="vertical-align:baseline">. Working in a Jupyter notebook environment is one of the easiest way to get started developing with Gemini 1.5 Pro. You can either use Google Colab or follow along in your own local environment. </span></p> <p><span style="vertical-align:baseline">First, you’ll need to install the latest version of the Vertex AI SDK for Python, import the necessary modules, and initialize the Gemini model: </span></p> <p><span style="vertical-align:baseline">1. Add a code cell to install the necessary libraries. This demo notebook requires the use of the google-cloud-aiplatform>=1.52 Python module.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="!pip3 install --upgrade --user "google-cloud-aiplatform>=1.52" !pip3 install vertexai"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">!pip3 install --upgrade --user "google-cloud-aiplatform>=1.52" !pip3 install vertexai</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">2. Add another code cell to import the necessary Python packages.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="import vertexai from vertexai.preview.generative_models import GenerativeModel, FunctionDeclaration, Tool, HarmCategory, HarmBlockThreshold, Content, Part import requests import os from datetime import date"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">import vertexai from vertexai.preview.generative_models import GenerativeModel, FunctionDeclaration, Tool, HarmCategory, HarmBlockThreshold, Content, Part import requests import os from datetime import date</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p>3. <span style="vertical-align:baseline">Now we can initialize Vertex AI with your exact project ID. Enter your information in between the variable quotes so you can reuse them. Uncomment the gcloud authentication commands if necessary.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="PROJECT_ID = "" #@param {type:"string"} LOCATION = "" #@param {type:"string"} # !gcloud auth login # !gcloud config set project $PROJECT_ID # !gcloud auth application-default login vertexai.init(project=PROJECT_ID, location=LOCATION)"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">PROJECT_ID = "" #@param {type:"string"} LOCATION = "" #@param {type:"string"} # !gcloud auth login # !gcloud config set project $PROJECT_ID # !gcloud auth application-default login vertexai.init(project=PROJECT_ID, location=LOCATION)</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">API</strong><strong style="vertical-align:baseline"> </strong><strong style="vertical-align:baseline">key</strong><strong style="vertical-align:baseline"> </strong><strong style="vertical-align:baseline">configuration</strong></h3> <p><span style="vertical-align:baseline">For this demo, we will also be using an additional API to generate information for the events and hotels. We'll be using Google’s SerpAPI for both, so be sure to create an account and select a subscription plan that fits your needs. This demo can be completed using their free tier. Once that’s done, you'll find your unique API key in your account dashboard.</span></p> <p><span style="vertical-align:baseline">Once you have the API keys, you can pass them to the SDK in one of two ways:</span></p> <ul> <li><span style="vertical-align:baseline">Put the key in the </span><code style="vertical-align:baseline">GOOGLE_API_KEY</code><span style="vertical-align:baseline"> environment variable (where the SDK will automatically pick it up from there)</span></li> <li><span style="vertical-align:baseline">Pass the key using </span><code style="vertical-align:baseline">genai.configure(api_key = . . .)</code></li> </ul> <p><span style="vertical-align:baseline">Navigate to </span><a href="https://serpapi.com" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">https://serpapi.com</span></a><span style="vertical-align:baseline"> and replace the contents of the variable below between the quotes with your specific API key:</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="SERP_API_KEY = os.environ.get("SERP API", "your_serp_api_key")"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">SERP_API_KEY = os.environ.get("SERP API", "your_serp_api_key")</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Defining custom functions for function calling</strong></h3> <p><span style="vertical-align:baseline">In this step, you'll define custom functions in order to pass them to Gemini 1.5 Pro and incorporate the API outputs back into the model for more accurate responses. We'll first define a function for the events API.</span></p> <p><span style="vertical-align:baseline">To use function calling, pass a list of functions to the tools parameter when creating a generative model. The model uses the function name, docstring, parameters, and parameter type annotations to decide if it needs the function to best answer a prompt.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="def event_api(query: str, htichips: str = "date:today"): URL = f"https://serpapi.com/search.json?api_key={SERP_API_KEY}&engine=google_events&q={query}&htichips={htichips}&hl=en&gl=us" response = requests.get(URL).json() return response["events_results"]"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">def event_api(query: str, htichips: str = "date:today"): URL = f"https://serpapi.com/search.json?api_key={SERP_API_KEY}&engine=google_events&q={query}&htichips={htichips}&hl=en&gl=us" response = requests.get(URL).json() return response["events_results"]</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">Now we will follow the same format to define a function for the hotels API.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="def hotel_api(query:str, check_in_date:str, check_out_date:int, hotel_class:int = 3, adults:int = 2): URL = f"https://serpapi.com/search.json?api_key={SERP_API_KEY}&engine=google_hotels&q={query}&check_in_date={check_in_date}&check_out_date={check_out_date}&adults={int(adults)}&hotel_class={int(hotel_class)}&currency=USD&gl=us&hl=en" response = requests.get(URL).json() return response["properties"]"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">def hotel_api(query:str, check_in_date:str, check_out_date:int, hotel_class:int = 3, adults:int = 2): URL = f"https://serpapi.com/search.json?api_key={SERP_API_KEY}&engine=google_hotels&q={query}&check_in_date={check_in_date}&check_out_date={check_out_date}&adults={int(adults)}&hotel_class={int(hotel_class)}&currency=USD&gl=us&hl=en" response = requests.get(URL).json() return response["properties"]</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Declare the custom function as a tool</strong></h3> <p><span style="vertical-align:baseline">The function declaration below describes the function for the events API. It lets the Gemini model know this API retrieves event information based on a query and optional filters.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="event_function = FunctionDeclaration( name = "event_api", description = "Retrieves event information based on a query and optional filters.", parameters = { "type":"object", "properties": { "query":{ "type":"string", "description":"The query you want to search for (e.g., 'Events in Austin, TX')." }, "htichips":{ "type":"string", "description":"""Optional filters used for search. Default: 'date:today'. Options: - 'date:today' - Today's events - 'date:tomorrow' - Tomorrow's events - 'date:week' - This week's events - 'date:weekend' - This weekend's events - 'date:next_week' - Next week's events - 'date:month' - This month's events - 'date:next_month' - Next month's events - 'event_type:Virtual-Event' - Online events """, } }, "required": [ "query" ] }, )"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">event_function = FunctionDeclaration( name = "event_api", description = "Retrieves event information based on a query and optional filters.", parameters = { "type":"object", "properties": { "query":{ "type":"string", "description":"The query you want to search for (e.g., 'Events in Austin, TX')." }, "htichips":{ "type":"string", "description":"""Optional filters used for search. Default: 'date:today'. Options: - 'date:today' - Today's events - 'date:tomorrow' - Tomorrow's events - 'date:week' - This week's events - 'date:weekend' - This weekend's events - 'date:next_week' - Next week's events - 'date:month' - This month's events - 'date:next_month' - Next month's events - 'event_type:Virtual-Event' - Online events """, } }, "required": [ "query" ] }, )</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><span style="vertical-align:baseline">Again, we will follow the same format for the hotels API.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="hotel_function = FunctionDeclaration( name="hotel_api", description="Retrieves hotel information based on location, dates, and optional preferences.", parameters= { "type":"object", "properties": { "query":{ "type":"string", "description":"Parameter defines the search query. You can use anything that you would use in a regular Google Hotels search." }, "check_in_date":{ "type":"string", "description":"Check-in date in YYYY-MM-DD format (e.g., '2024-04-30')." }, "check_out_date":{ "type":"string", "description":"Check-out date in YYYY-MM-DD format (e.g., '2024-05-01')." }, "hotel_class":{ "type":"integer", "description":"""hotel class. Options: - 2: 2-star - 3: 3-star - 4: 4-star - 5: 5-star For multiple classes, separate with commas (e.g., '2,3,4').""" }, "adults":{ "type": "integer", "description": "Number of adults. Only integers, no decimals or floats (e.g., 1 or 2)" } }, "required": [ "query", "check_in_date", "check_out_date" ] }, )"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">hotel_function = FunctionDeclaration( name="hotel_api", description="Retrieves hotel information based on location, dates, and optional preferences.", parameters= { "type":"object", "properties": { "query":{ "type":"string", "description":"Parameter defines the search query. You can use anything that you would use in a regular Google Hotels search." }, "check_in_date":{ "type":"string", "description":"Check-in date in YYYY-MM-DD format (e.g., '2024-04-30')." }, "check_out_date":{ "type":"string", "description":"Check-out date in YYYY-MM-DD format (e.g., '2024-05-01')." }, "hotel_class":{ "type":"integer", "description":"""hotel class. Options: - 2: 2-star - 3: 3-star - 4: 4-star - 5: 5-star For multiple classes, separate with commas (e.g., '2,3,4').""" }, "adults":{ "type": "integer", "description": "Number of adults. Only integers, no decimals or floats (e.g., 1 or 2)" } }, "required": [ "query", "check_in_date", "check_out_date" ] }, )</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Consider configuring safety settings for the model</strong></h3> <p><span style="vertical-align:baseline">Safety settings in Gemini exist to prevent the generation of harmful or unsafe content. They act as filters that analyze the generated output and block or flag anything that might be considered inappropriate, offensive, or dangerous. This is good practice when you’re developing using generative AI content.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="generation_config = { "max_output_tokens": 128, "temperature": .5, "top_p": .3, } safety_settings = { HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_ONLY_HIGH, HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_ONLY_HIGH, HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_ONLY_HIGH, HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_ONLY_HIGH, }"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">generation_config = { "max_output_tokens": 128, "temperature": .5, "top_p": .3, } safety_settings = { HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_ONLY_HIGH, HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_ONLY_HIGH, HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_ONLY_HIGH, HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_ONLY_HIGH, }</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Pass the tool and start a chat</strong></h3> <p><span style="vertical-align:baseline">Here we’ll be passing the tool as a function declaration and starting the chat with Gemini. Using the </span><code style="vertical-align:baseline">chat.send_message(“ . . . “)</code><span style="vertical-align:baseline"> functionality, you can send messages to the model in a conversation-like structure.</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="tools = Tool(function_declarations=[event_function, hotel_function]) model = GenerativeModel( model_name = 'gemini-1.5-pro-001', generation_config = generation_config, safety_settings = safety_settings, tools = [tools]) chat = model.start_chat() response = chat.send_message("Hello") print(response.text)"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">tools = Tool(function_declarations=[event_function, hotel_function]) model = GenerativeModel( model_name = 'gemini-1.5-pro-001', generation_config = generation_config, safety_settings = safety_settings, tools = [tools]) chat = model.start_chat() response = chat.send_message("Hello") print(response.text)</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Build the agent</strong></h3> <p><span style="vertical-align:baseline">Next we will create a callable hashmap to map the tool name to the tool function so that it can be called within the agent function. We will also implement prompt engineering (mission prompt) to better prompt the model to handle user inputs and equip the model with the datetime. </span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="CallableFunctions = { "event_api": event_api, "hotel_api": hotel_api } today = date.today() def mission_prompt(prompt:str): return f""" Thought: I need to understand the user's request and determine if I need to use any tools to assist them. Action: - If the user's request needs following APIs from available ones: weather, event, hotel, and I have all the required parameters, call the corresponding API. - Otherwise, if I need more information to call an API, I will ask the user for it. - If the user's request doesn't need an API call or I don't have enough information to call one, respond to the user directly using the chat history. - Respond with the final answer only [QUESTION] {prompt} [DATETIME] {today} """.strip() def Agent(user_prompt): prompt = mission_prompt(user_prompt) response = chat.send_message(prompt) tools = response.candidates[0].function_calls while tools: for tool in tools: function_res = CallableFunctions[tool.name](**tool.args) response = chat.send_message(Content(role="function_response",parts=[Part.from_function_response(name=tool.name, response={"result": function_res})])) tools = response.candidates[0].function_calls return response.text"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">CallableFunctions = { "event_api": event_api, "hotel_api": hotel_api } today = date.today() def mission_prompt(prompt:str): return f""" Thought: I need to understand the user's request and determine if I need to use any tools to assist them. Action: - If the user's request needs following APIs from available ones: weather, event, hotel, and I have all the required parameters, call the corresponding API. - Otherwise, if I need more information to call an API, I will ask the user for it. - If the user's request doesn't need an API call or I don't have enough information to call one, respond to the user directly using the chat history. - Respond with the final answer only [QUESTION] {prompt} [DATETIME] {today} """.strip() def Agent(user_prompt): prompt = mission_prompt(user_prompt) response = chat.send_message(prompt) tools = response.candidates[0].function_calls while tools: for tool in tools: function_res = CallableFunctions[tool.name](**tool.args) response = chat.send_message(Content(role="function_response",parts=[Part.from_function_response(name=tool.name, response={"result": function_res})])) tools = response.candidates[0].function_calls return response.text</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Test the agent</strong></h3> <p><span style="vertical-align:baseline">Below are some sample queries you can try to test the chat capabilities of the agent. Don’t forget to test out a query of your own!</span></p></span></section><section class="nRhiJb-DbgRPb-II5mzb-cGMI2b"><section><div class="kg99be" jscontroller="vkZm2d" jsaction="rcuQ6b:npT2md" data-text-to-copy="response1 = Agent("Hello") print(response1) response2 = Agent("What events are there to do in Atlanta, Georgia?") print(response2) response3 = Agent("Are there any hotel avaiable in Midtown Atlanta for this weekend?") print(response3)"><div jsaction="click:VTVhdd" class="GaRnv"><svg class="" viewBox="0 0 20 20" role="presentation" aria-hidden="true" height=20 widdht=20><path d="M7.979 14.667c-.458 0-.84-.153-1.146-.459a1.53 1.53 0 0 1-.458-1.125V3.938c0-.459.153-.84.458-1.146.306-.306.688-.459 1.146-.459h6.625c.445 0 .823.156 1.136.469.312.313.468.691.468 1.136v9.145c0 .445-.156.82-.468 1.125a1.564 1.564 0 0 1-1.136.459H7.979Zm0-1.334h6.625c.083 0 .15-.024.198-.073a.239.239 0 0 0 .073-.177V3.938a.265.265 0 0 0-.073-.198.268.268 0 0 0-.198-.073H7.979a.268.268 0 0 0-.198.073.266.266 0 0 0-.073.198v9.145c0 .07.024.129.073.177a.267.267 0 0 0 .198.073ZM4.875 17.75a1.53 1.53 0 0 1-1.125-.458 1.532 1.532 0 0 1-.458-1.125V5.729h1.333v10.438c0 .07.024.128.073.177a.24.24 0 0 0 .177.073h7.937v1.333H4.875ZM7.708 3.667v9.666-9.666Z" fill="#1a73e8"/></svg>lang-py</div><div jscontroller="M2lJBf" jsaction="rcuQ6b:npT2md" data-language="lang-py" data-enable-content-editable-input-style="false" data-enable-line-wrapping data-read-only><div class="hg3Lgc qs41qe BEXrzd" data-loadingmessage="Loading..." jscontroller="GFartf" jsaction="animationend:kWijWc;dyRcpb:dyRcpb" data-active="true" jsname="aZ2wEe"><div class="eBrXtc" aria-live="polite" jsname="vyyg5">Loading...</div><div jsname="Hxlbvc" class="JdM54e"><div class="aopPX ZqnFk co39ub"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fxjES Cn087"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX ZHXbZe hfsr6b"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div><div class="aopPX fDBOYb EjXFBf"><div class="e2XBBf uEtL3"><div class="kPEoYc GOJTSe"></div></div><div class="LqC3Y"><div class="kPEoYc GOJTSe"></div></div><div class="e2XBBf QR7YS"><div class="kPEoYc GOJTSe"></div></div></div></div></div><div dir="ltr"><textarea jsname="bqeLof" class="Fdco1c">response1 = Agent("Hello") print(response1) response2 = Agent("What events are there to do in Atlanta, Georgia?") print(response2) response3 = Agent("Are there any hotel avaiable in Midtown Atlanta for this weekend?") print(response3)</textarea></div></div></div><p class="nRhiJb-cHYyed nRhiJb-DbgRPb-R6PoUb-ma6Yeb TxA6Xc"></p></section></section><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><h3><strong style="vertical-align:baseline">Wrapping up</strong></h3> <p><span style="vertical-align:baseline">That’s all! Gemini 1.5 Pro’s function calling and grounding features enhances its capabilities, enabling developers to connect to external tools and improve model results. This integration enables Gemini models to provide up-to-date information while minimizing hallucinations. </span></p> <p><span style="vertical-align:baseline">If you’re looking for more hands-on tutorials and code examples, check out some of </span><a href="https://colab.sandbox.google.com/github/google/generative-ai-docs/blob/main/site/en/gemini-api/docs/function-calling/python.ipynb#scrollTo=e36166b2c1b6" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">Google’s Codelabs</span></a><span style="vertical-align:baseline"> (such as </span><a href="https://codelabs.developers.google.com/codelabs/gemini-function-calling#0" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">How to Interact with APIs Using Function Calling in Gemini</span></a><span style="vertical-align:baseline">) to guide you through examples of building a beginner function calling application.</span></p></span></section><section class="kcBhad"><section class="Fabbec"><span class="WrMNjb">Posted in</span><ul class="FzXI4e"><li class="I4B51b"><a href="https://cloud.google.com/blog/topics/developers-practitioners" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/topics/developers-practitioners"track-metadata-module="tag list"track-metadata-module_headline="posted in">Developers & Practitioners</a></li><li class="I4B51b"><a href="https://cloud.google.com/blog/products/ai-machine-learning" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/ai-machine-learning"track-metadata-module="tag list"track-metadata-module_headline="posted in">AI & Machine Learning</a></li></ul></section></section></div></div></div></div></div><section class="nRhiJb-DARUcf " track-metadata-module="related articles" track-metadata-module_headline="related articles"><div class="nRhiJb-DbgRPb-c5RTEf-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><h5 class="Qwf2Db-MnozTc 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Modernization","/blog/ko/products/infrastructure-modernization"],["네트워킹","/blog/ko/products/networking"],["생산성 및 공동작업","/blog/ko/products/productivity-collaboration"],["SAP on Google Cloud","/blog/ko/products/sap-google-cloud"],["스토리지 및 데이터 전송","/blog/ko/products/storage-data-transfer"],["지속가능성","/blog/ko/topics/sustainability"]]]],["에코시스템",null,[[["IT Leaders","/transform/ko"],["업종",null,[[["금융 서비스","/blog/ko/topics/financial-services"],["의료 및 생명과학","/blog/ko/topics/healthcare-life-sciences"],["제조업","/blog/ko/topics/manufacturing"],["미디어 및 엔터테인먼트","/blog/ko/products/media-entertainment"],["공공부문","/blog/ko/topics/public-sector"],["소매업","/blog/ko/topics/retail"],["공급망","/blog/topics/supply-chain-logistics"],["통신","/blog/ko/topics/telecommunications"]]]],["고객 사례","/blog/ko/topics/customers"],["파트너","/blog/ko/topics/partners"],["스타트업 \u0026 SMB","/blog/ko/topics/startups"],["교육 \u0026 인증","/blog/ko/topics/training-certifications"],["Inside Google Cloud","/blog/ko/topics/inside-google-cloud"],["Google Cloud Next 및 이벤트","/blog/ko/topics/google-cloud-next"],["Google Maps Platform","/blog/ko/products/maps-platform"],["Google Workspace","https://workspace.google.com/blog/ko"]]]],["개발 및 IT운영","/blog/ko/topics/developers-practitioners"],["Google Cloud와 함께 하는 디지털 혁신","/transform/ko"]]]]]],'cloud.google.com','https', null , false , null ,[[48897392,97442197,97785986,97863170,1706538,48830069,97684533,97517170,93874002,97535270,48554503,48887080,97656897,93778619,1714240,97863043,48489830,97716265,97442181,97785970,97684517,97517154,93873986,48887064,97656881],null,null,null,null,true],]; window.IJ_valuesCb && window.IJ_valuesCb();</script><script class="ds:0" nonce="39W-011VRfnn3r7QtyyfSA">AF_initDataCallback({key: 'ds:0', hash: '1', data:[["Learn how to create an AI agent for trip planning with Gemini 1.5 Pro","Check out this step-by-step guide to create an AI agent for trip planning with Gemini 1.5 Pro.",[1732323600],"https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-2600x2600.jpg","https://cloud.google.com/blog/topics/developers-practitioners/learn-how-to-create-an-ai-agent-for-trip-planning-with-gemini-1-5-pro",[1732326410,917995000]],[["Kelci Mensah","Cloud Architect, Google"],["Dagmawe Legesse","Cloud Engineer"]],[null,"\u003cscript type\u003d\"application/ld+json\"\u003e{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"@id\":\"https://cloud.google.com/blog/topics/developers-practitioners/learn-how-to-create-an-ai-agent-for-trip-planning-with-gemini-1-5-pro\",\"headline\":\"Learn how to create an AI agent for trip planning with Gemini 1.5 Pro\",\"description\":\"Check out this step-by-step guide to create an AI agent for trip planning with Gemini 1.5 Pro.\",\"image\":\"https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-2600x2600.jpg\",\"author\":[{\"@type\":\"Person\",\"name\":\"Kelci Mensah\",\"url\":\"\"},{\"@type\":\"Person\",\"name\":\"Dagmawe Legesse\",\"url\":\"\"}],\"datePublished\":\"2024-11-23\",\"publisher\":{\"@type\":\"Organization\",\"name\":\"Google Cloud\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https://www.gstatic.com/devrel-devsite/prod/v8bb8fa0afe9a8c3a776ebeb25d421bb443344d789b3607754dfabea418b8c4be/cloud/images/cloud-logo.svg\"}},\"url\":\"https://cloud.google.com/blog/topics/developers-practitioners/learn-how-to-create-an-ai-agent-for-trip-planning-with-gemini-1-5-pro\",\"keywords\":[\"Developers \\u0026 Practitioners\",\"AI \\u0026 Machine Learning\"],\"timeRequired\":\"PT5M\"}\u003c/script\u003e"],["Build an AI agent for trip planning with Gemini 1.5 Pro: A step-by-step guide"],null,null,[[null,null,[null,[null,"\u003cp\u003e\u003ca href\u003d\"https://deepmind.google/technologies/gemini/pro/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eGemini 1.5 Pro\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e is creating new possibilities for developers to build AI agents that streamline the customer experience. In this post, we'll focus on a practical application that has emerged in the travel industry \u2013 building an AI-powered trip planning agent. You'll learn how to connect your agent to external data sources like event APIs, enabling it to generate personalized travel itineraries based on real-time information.\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eUnderstanding the core concepts\u003c/strong\u003e\u003c/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eFunction calling\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e: Allows developers to connect Gemini models (all Gemini models except Gemini 1.0 Pro Vision) with external systems, APIs, and data sources. This enables the AI to retrieve real-time information and perform actions, making it more dynamic and versatile.\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eGrounding\u003c/strong\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e: Enhances Gemini' model\u2019s ability to access and process information from external sources like documents, knowledge bases, and the web, leading to more accurate and up-to-date responses.\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eBy combining these features, we can create an AI agent that can understand user requests, retrieve relevant information from the web, and provide personalized recommendations.\u003c/span\u003e\u003c/p\u003e"]]],[null,["$300 in free credit to try Google Cloud developer tools",null,"Start building for free","http://console.cloud.google.com/freetrial?redirectPath\u003d/welcome",[null,"\u003cp\u003eBuild and test your proof of concept with $300 in free credit for new customers. Plus, all customers get free monthly usage of 20+ products, including AI APIs.\u003c/p\u003e"]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eStep-by-step: Function calling with grounding\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eLet\u2019s run through a scenario:\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eLet\u2019s say you\u2019re an AI engineer tasked with creating an AI agent that helps users plan trips by finding local events and potential hotels to stay at. Your company has given you full creative freedom to build a minimal viable product using Google\u2019s generative AI products, so you\u2019ve chosen to use Gemini 1.5 Pro and loop in other external APIs.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThe first step is to define potential queries that any user might enter into the Gemini chat. This will help clarify development requirements and ensure the final product meets the standards of both users and stakeholders. Here are some examples:\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u201cI\u2019m bored, what is there to do today?\u201d\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u201cI would like to take me and my two kids somewhere warm because spring break starts next week. Where should I take them?\u201d\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u201cMy friend will be moving to Atlanta soon for a job. What fun events do they have going on during the weekends?\u201d\u003c/span\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eFrom these sample queries,\u00a0 it looks like we\u2019ll need to use an events API and a hotels API for localized information. Next, let\u2019s set up our development environment.\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eNotebook setup\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eTo use Gemini 1.5 Pro for development, you\u2019ll need to either create or use an existing project in Google Cloud. \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/resource-manager/docs/creating-managing-projects\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eFollow the official instructions that are linked here before continuing\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e. Working in a Jupyter notebook environment is one of the easiest way to get started developing with Gemini 1.5 Pro. You can either use Google Colab or follow along in your own local environment.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eFirst, you\u2019ll need to install the latest version of the Vertex AI SDK for Python, import the necessary modules, and initialize the Gemini model:\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e1. Add a code cell to install the necessary libraries. This demo notebook requires the use of the google-cloud-aiplatform\u0026gt;\u003d1.52 Python module.\u003c/span\u003e\u003c/p\u003e"]]],[["!pip3 install --upgrade --user \"google-cloud-aiplatform\u003e\u003d1.52\"\r\n!pip3 install vertexai","lang-py",[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e2. Add another code cell to import the necessary Python packages.\u003c/span\u003e\u003c/p\u003e"]]],[["import vertexai\r\nfrom vertexai.preview.generative_models import GenerativeModel, FunctionDeclaration, Tool, HarmCategory, HarmBlockThreshold, Content, Part\r\n\r\nimport requests\r\nimport os\r\nfrom datetime import date","lang-py",[null,""]]],[null,null,[null,[null,"\u003cp\u003e3. \u003cspan style\u003d\"vertical-align:baseline\"\u003eNow we can initialize Vertex AI with your exact project ID. Enter your information in between the variable quotes so you can reuse them. Uncomment the gcloud authentication commands if necessary.\u003c/span\u003e\u003c/p\u003e"]]],[["PROJECT_ID \u003d \"\" #@param {type:\"string\"}\r\nLOCATION \u003d \"\" #@param {type:\"string\"}\r\n\r\n# !gcloud auth login \r\n# !gcloud config set project $PROJECT_ID\r\n# !gcloud auth application-default login\r\n\r\nvertexai.init(project\u003dPROJECT_ID, location\u003dLOCATION)","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eAPI\u003c/strong\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003e \u003c/strong\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003ekey\u003c/strong\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003e \u003c/strong\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003econfiguration\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eFor this demo, we will also be using an additional API to generate information for the events and hotels. We'll be using Google\u2019s SerpAPI for both, so be sure to create an account and select a subscription plan that fits your needs. This demo can be completed using their free tier. Once that\u2019s done, you'll find your unique API key in your account dashboard.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eOnce you have the API keys, you can pass them to the SDK in one of two ways:\u003c/span\u003e\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003ePut the key in the \u003c/span\u003e\u003ccode style\u003d\"vertical-align:baseline\"\u003eGOOGLE_API_KEY\u003c/code\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e environment variable (where the SDK will automatically pick it up from there)\u003c/span\u003e\u003c/li\u003e\n\u003cli\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003ePass the key using \u003c/span\u003e\u003ccode style\u003d\"vertical-align:baseline\"\u003egenai.configure(api_key \u003d . . .)\u003c/code\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eNavigate to \u003c/span\u003e\u003ca href\u003d\"https://serpapi.com\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003ehttps://serpapi.com\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e and replace the contents of the variable below between the quotes with your specific API key:\u003c/span\u003e\u003c/p\u003e"]]],[["SERP_API_KEY \u003d os.environ.get(\"SERP API\", \"your_serp_api_key\")","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eDefining custom functions for function calling\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eIn this step, you'll define custom functions in order to pass them to Gemini 1.5 Pro and incorporate the API outputs back into the model for more accurate responses. We'll first define a function for the events API.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eTo use function calling, pass a list of functions to the tools parameter when creating a generative model. The model uses the function name, docstring, parameters, and parameter type annotations to decide if it needs the function to best answer a prompt.\u003c/span\u003e\u003c/p\u003e"]]],[["def event_api(query: str, htichips: str \u003d \"date:today\"):\r\n URL \u003d f\"https://serpapi.com/search.json?api_key\u003d{SERP_API_KEY}\u0026engine\u003dgoogle_events\u0026q\u003d{query}\u0026htichips\u003d{htichips}\u0026hl\u003den\u0026gl\u003dus\"\r\n response \u003d requests.get(URL).json()\r\n return response[\"events_results\"]","lang-py",[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eNow we will follow the same format to define a function for the hotels API.\u003c/span\u003e\u003c/p\u003e"]]],[["def hotel_api(query:str, check_in_date:str, check_out_date:int, hotel_class:int \u003d 3, adults:int \u003d 2):\r\n URL \u003d f\"https://serpapi.com/search.json?api_key\u003d{SERP_API_KEY}\u0026engine\u003dgoogle_hotels\u0026q\u003d{query}\u0026check_in_date\u003d{check_in_date}\u0026check_out_date\u003d{check_out_date}\u0026adults\u003d{int(adults)}\u0026hotel_class\u003d{int(hotel_class)}\u0026currency\u003dUSD\u0026gl\u003dus\u0026hl\u003den\"\r\n response \u003d requests.get(URL).json()\r\n \r\n return response[\"properties\"]","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eDeclare the custom function as a tool\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThe function declaration below describes the function for the events API. It lets the Gemini model know this API retrieves event information based on a query and optional filters.\u003c/span\u003e\u003c/p\u003e"]]],[["event_function \u003d FunctionDeclaration(\r\n name \u003d \"event_api\",\r\n description \u003d \"Retrieves event information based on a query and optional filters.\",\r\n parameters \u003d {\r\n \"type\":\"object\",\r\n \"properties\": {\r\n \"query\":{\r\n \"type\":\"string\",\r\n \"description\":\"The query you want to search for (e.g., 'Events in Austin, TX').\"\r\n },\r\n \"htichips\":{\r\n \"type\":\"string\",\r\n \"description\":\"\"\"Optional filters used for search. Default: 'date:today'.\r\n \r\n Options:\r\n - 'date:today' - Today's events\r\n - 'date:tomorrow' - Tomorrow's events\r\n - 'date:week' - This week's events\r\n - 'date:weekend' - This weekend's events\r\n - 'date:next_week' - Next week's events\r\n - 'date:month' - This month's events\r\n - 'date:next_month' - Next month's events\r\n - 'event_type:Virtual-Event' - Online events\r\n \"\"\",\r\n }\r\n },\r\n \"required\": [\r\n \"query\"\r\n ]\r\n },\r\n)","lang-py",[null,""]]],[null,null,[null,[null,"\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eAgain, we will follow the same format for the hotels API.\u003c/span\u003e\u003c/p\u003e"]]],[["hotel_function \u003d FunctionDeclaration(\r\n name\u003d\"hotel_api\",\r\n description\u003d\"Retrieves hotel information based on location, dates, and optional preferences.\",\r\n parameters\u003d {\r\n \"type\":\"object\",\r\n \"properties\": {\r\n \"query\":{\r\n \"type\":\"string\",\r\n \"description\":\"Parameter defines the search query. You can use anything that you would use in a regular Google Hotels search.\"\r\n },\r\n \"check_in_date\":{\r\n \"type\":\"string\",\r\n \"description\":\"Check-in date in YYYY-MM-DD format (e.g., '2024-04-30').\"\r\n },\r\n \"check_out_date\":{\r\n \"type\":\"string\",\r\n \"description\":\"Check-out date in YYYY-MM-DD format (e.g., '2024-05-01').\"\r\n },\r\n \"hotel_class\":{\r\n \"type\":\"integer\",\r\n \"description\":\"\"\"hotel class.\r\n\r\n\r\n Options:\r\n - 2: 2-star\r\n - 3: 3-star\r\n - 4: 4-star\r\n - 5: 5-star\r\n \r\n For multiple classes, separate with commas (e.g., '2,3,4').\"\"\"\r\n },\r\n \"adults\":{\r\n \"type\": \"integer\",\r\n \"description\": \"Number of adults. Only integers, no decimals or floats (e.g., 1 or 2)\"\r\n }\r\n },\r\n \"required\": [\r\n \"query\",\r\n \"check_in_date\",\r\n \"check_out_date\"\r\n ]\r\n },\r\n)","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eConsider configuring safety settings for the model\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eSafety settings in Gemini exist to prevent the generation of harmful or unsafe content. They act as filters that analyze the generated output and block or flag anything that might be considered inappropriate, offensive, or dangerous. This is good practice when you\u2019re developing using generative AI content.\u003c/span\u003e\u003c/p\u003e"]]],[["generation_config \u003d {\r\n \"max_output_tokens\": 128,\r\n \"temperature\": .5,\r\n \"top_p\": .3,\r\n}\r\n\r\nsafety_settings \u003d {\r\n HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_ONLY_HIGH,\r\n HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_ONLY_HIGH,\r\n HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_ONLY_HIGH,\r\n HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_ONLY_HIGH,\r\n}","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003ePass the tool and start a chat\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eHere we\u2019ll be passing the tool as a function declaration and starting the chat with Gemini. Using the \u003c/span\u003e\u003ccode style\u003d\"vertical-align:baseline\"\u003echat.send_message(\u201c . . . \u201c)\u003c/code\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e functionality, you can send messages to the model in a conversation-like structure.\u003c/span\u003e\u003c/p\u003e"]]],[["tools \u003d Tool(function_declarations\u003d[event_function, hotel_function])\r\n\r\nmodel \u003d GenerativeModel(\r\n model_name \u003d 'gemini-1.5-pro-001', \r\n generation_config \u003d generation_config, \r\n safety_settings \u003d safety_settings, \r\n tools \u003d [tools])\r\nchat \u003d model.start_chat()\r\nresponse \u003d chat.send_message(\"Hello\")\r\nprint(response.text)","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eBuild the agent\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eNext we will create a callable hashmap to map the tool name to the tool function so that it can be called within the agent function. We will also implement prompt engineering (mission prompt) to better prompt the model to handle user inputs and equip the model with the datetime. \u003c/span\u003e\u003c/p\u003e"]]],[["CallableFunctions \u003d {\r\n \"event_api\": event_api,\r\n \"hotel_api\": hotel_api\r\n}\r\n\r\ntoday \u003d date.today()\r\n\r\ndef mission_prompt(prompt:str):\r\n return f\"\"\"\r\n Thought: I need to understand the user's request and determine if I need to use any tools to assist them.\r\n Action: \r\n \r\n - If the user's request needs following APIs from available ones: weather, event, hotel, and I have all the required parameters, call the corresponding API.\r\n - Otherwise, if I need more information to call an API, I will ask the user for it.\r\n - If the user's request doesn't need an API call or I don't have enough information to call one, respond to the user directly using the chat history.\r\n - Respond with the final answer only\r\n\r\n [QUESTION] \r\n {prompt}\r\n\r\n [DATETIME]\r\n {today}\r\n\r\n \"\"\".strip()\r\n\r\n\r\n\r\ndef Agent(user_prompt):\r\n prompt \u003d mission_prompt(user_prompt)\r\n response \u003d chat.send_message(prompt)\r\n tools \u003d response.candidates[0].function_calls\r\n while tools:\r\n for tool in tools:\r\n function_res \u003d CallableFunctions[tool.name](**tool.args)\r\n response \u003d chat.send_message(Content(role\u003d\"function_response\",parts\u003d[Part.from_function_response(name\u003dtool.name, response\u003d{\"result\": function_res})]))\r\n tools \u003d response.candidates[0].function_calls\r\n return response.text","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eTest the agent\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eBelow are some sample queries you can try to test the chat capabilities of the agent. Don\u2019t forget to test out a query of your own!\u003c/span\u003e\u003c/p\u003e"]]],[["response1 \u003d Agent(\"Hello\")\r\nprint(response1)\r\n\r\nresponse2 \u003d Agent(\"What events are there to do in Atlanta, Georgia?\")\r\nprint(response2)\r\n\r\nresponse3 \u003d Agent(\"Are there any hotel avaiable in Midtown Atlanta for this weekend?\")\r\nprint(response3)","lang-py",[null,""]]],[null,null,[null,[null,"\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eWrapping up\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eThat\u2019s all! Gemini 1.5 Pro\u2019s function calling and grounding features enhances its capabilities, enabling developers to connect to external tools and improve model results. This integration enables Gemini models to provide up-to-date information while minimizing hallucinations.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eIf you\u2019re looking for more hands-on tutorials and code examples, check out some of \u003c/span\u003e\u003ca href\u003d\"https://colab.sandbox.google.com/github/google/generative-ai-docs/blob/main/site/en/gemini-api/docs/function-calling/python.ipynb#scrollTo\u003de36166b2c1b6\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eGoogle\u2019s Codelabs\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e (such as \u003c/span\u003e\u003ca href\u003d\"https://codelabs.developers.google.com/codelabs/gemini-function-calling#0\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eHow to Interact with APIs Using Function Calling in Gemini\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e) to guide you through examples of building a beginner function calling application.\u003c/span\u003e\u003c/p\u003e"]]]],[["Developers \u0026 Practitioners","Boost your Continuous Delivery pipeline with Generative AI","Learn how to use Gemini models in Vertex AI to automate code reviews, create release notes, and enhance your software delivery pipeline.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg"],null,7,null,"https://cloud.google.com/blog/topics/developers-practitioners/boost-your-continuous-delivery-pipeline-with-generative-ai",null,1,[["Giovanni Galloro","EMEA Solutions Lead, Application Modernization"],["Daniel Strebel","EMEA Solutions Lead, Application Modernization"]],null,"55631"],["Developers \u0026 Practitioners","Create a self-escalating chatbot in Conversational Agents using Webhook and Generators","Learn how to create a self-escalating chatbot using Google Cloud's generative AI solutions such as Vertex AI and Conversational Agents (Dialogflow CX).",["https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/11_-_Developers__Practitioners_a4Y5EGr.max-700x700.jpg"],null,9,null,"https://cloud.google.com/blog/topics/developers-practitioners/create-a-self-escalating-chatbot-in-conversational-agents",null,1,[["Aniket Agrawal","AI Cloud Engineer"]],null,"55633"],["AI \u0026 Machine Learning","How Commerzbank is transforming financial advisory workflows with gen AI","Commerzbank has automated its financial advisory workflows using an advanced semi-agentic, multi-step gen AI process on Vertex AI.",["https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif","https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif 324w, https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/original_images/Commerzbank-v3.gif"],null,5,null,"https://cloud.google.com/blog/products/ai-machine-learning/how-commerzbank-is-transforming-financial-advisory-workflows-with-gen-ai",null,1,[["Tolga Bast\u00fcrk","Product Owner, Commerzbank"],["Anant Nawalgaria","Sr. Staff ML Engineer, Google"]],null,"55621"],["Containers \u0026 Kubernetes","Data loading best practices for AI/ML inference on GKE","When running AI/ML inference workloads on GKE, learn how to accelerate data loading for inference serving containers and downloading models + weights.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/07_-_Containers__Kubernetes_iY4YTLa.max-700x700.jpg"],null,6,null,"https://cloud.google.com/blog/products/containers-kubernetes/improve-data-loading-times-for-ml-inference-apps-on-gke",null,1,[["Brian Kaufman","Senior Product Manager GKE AI/ML"],["Akshay Ram","Group Product Manager GKE AI/ML"]],null,"55570"]],null,"Developers \u0026 Practitioners",["Google Cloud Summit Series","Discover the latest in AI, Security, Workspace, App Dev, \u0026 more.","Register","https://cloudonair.withgoogle.com/summit_series_24?utm_source\u003dcgc-blog\u0026utm_medium\u003dblog\u0026utm_campaign\u003dsummit-series-2024\u0026utm_content\u003dsummit-series-left-hand-rail-cta\u0026utm_term\u003d-"],[["Developers \u0026 Practitioners","https://cloud.google.com/blog/topics/developers-practitioners","developers"],["AI \u0026 Machine Learning","https://cloud.google.com/blog/products/ai-machine-learning","ai-machine-learning"]],null,null,5], 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