Google Vertex AI (Gemini)

with the google vertex ai (gemini) app in {{product name}} , you can create text prompts, generate images, image captions, and answers for images requirements to use the google vertex ai (gemini) app in {{product name}} get started, you must have a https //account google com and an existing google cloud project in the https //console cloud google com/ with the vertex ai gemini api and billing enabled for more information on how to enable these items, see the docid\ en1rvrqgflyr1b4r0gdum section {{product name}} 's use and transfer of information received from google apis to any other app will adhere to https //developers google com/terms/api services user data policy connect google vertex ai (gemini) and {{product name}} to get started, you must first create a connection between google vertex ai (gemini) and {{product name}} , allowing the two services to communicate to create the connection, you need to docid\ en1rvrqgflyr1b4r0gdum docid\ en1rvrqgflyr1b4r0gdum docid\ en1rvrqgflyr1b4r0gdum create a google cloud platform project for google vertex ai (gemini) once you have created and configured a project, and obtained your credentials in the google cloud platform, you're ready to create the connection in {{product name}} log in to the https //console cloud google com/ using your google credentials on the welcome page, click create or select a project > new project enter a project name and select the location for your project click create in the top menu, check if your new project is selected in the select a project dropdown if not, select the project you just created to create a new project or work in the existing one, you need to have the serviceusage services enable permission if you don’t have this permission, ask the google cloud platform project owner or project iam admin to grant it to you enable api for google vertex ai (gemini) to enable the required api open the left navigation menu and go to apis & services > library search for the following api vertex ai gemini api click vertex ai gemini api , then click enable if your project's billing has not yet been enabled, a billing required prompt will appear click the enable billing button and complete the enabling process create the connection in {{product name}} to establish the connection in {{product name}} log in to your {{product name}} account, add a google vertex ai (gemini) module to your {{scenario singular lowercase}} , and click create a connection optional in the connection name field, enter a name for the connection optional switch on the show advanced settings toggle and enter your google cloud platform project client credentials for more information, see the docid\ en1rvrqgflyr1b4r0gdum section below click sign in with google if prompted, authenticate your account and confirm access you've successfully created the connection and can now use the google vertex ai (gemini) app in your {{scenario plural lowercase}} if you want to make changes to your connection in the future, follow the steps docid\ so88fm6pkt0g adkddfzz create and configure a google cloud platform project for google vertex ai (gemini) to connect to {{product name}} using your own client credentials, you can create and configure a project in the google cloud platform docid\ en1rvrqgflyr1b4r0gdum docid\ en1rvrqgflyr1b4r0gdum docid\ en1rvrqgflyr1b4r0gdum docid\ en1rvrqgflyr1b4r0gdum configure your oauth consent screen for google vertex ai (gemini) to configure your oauth consent screen in the left sidebar, click google auth platform note if you don't see google auth platform in the left sidebar, click view all products at the top of it, then pin google auth platform to the sidebar click get started in the overview section, under app information , enter make as the app name and provide your gmail address click next under audience , select external for more information regarding user types, refer to https //support google com/cloud/answer/9110914#exceptions ver reqts under contact information , enter your gmail address under finish , agree to the google user data policy click continue > create in the branding section, under authorized domains , add make com and integromat com click save optional in the audience section, add your gmail address on the test users page, then click save and continue if you want the project to remain in the testing publishing status in the data access section, click add or remove scopes , add the following scopes, and click update https //www googleapis com/auth/userinfo email https //www googleapis com/auth/cloud platform click save testing if you keep your project in the testing status, you will be required to reauthorize your connection in {{product name}} every week to avoid weekly reauthorization, update the project status to in production in production if you update your project to the in production status, you will not be required to reauthorize the connection weekly to update your project's status, go to the oauth consent screen , the audience section, and click publish app if you see the notice needs verification , you can choose whether to go through the https //support google com/cloud/answer/13463073?authuser=1\&visit id=638718595933013017 1855034908\&rd=1 for the app or to connect to your unverified app currently connecting to unverified apps works in {{product name}} , but we cannot guarantee the google will allow connections to unverified apps for an indefinite period for more information regarding the publishing status, refer to the publishing status section of https //support google com/cloud/answer/10311615#zippy= create your google vertex ai (gemini) client credentials to create your client credentials in google auth platform, click clients click + create client in the application type dropdown, select web application update the name of your oauth client this will help you identify it in the platform in the authorized redirect uris section, click + add uri and enter the following redirect uri https //www make com/oauth/cb/google vertex ai click create click the oauth 2 0 client you created, copy your client id and client secret values, and store them in a safe place you'll use these values in the client id and client secret connection fields in {{product name}} google vertex ai (gemini) modules after connecting to the google vertex ai (gemini) app, you can use the following types of modules to build your {{scenario plural lowercase}} text prompts create a chat prompt (gemini) images and videos generate an image generate a video generate an image caption generate an answer for an image analyze image/video (gemini) (legacy) note we've updated the ​ create a chat prompt (gemini) ​​ module to be compatible with image, audio and video inputs we recommend using that module instead of this one other make an api call templates you can look for google vertex ai (gemini) templates in https //www make com/en/templates , where you'll find thousands of pre created {{scenario plural lowercase}} google vertex ai (gemini) resources https //cloud google com/vertex ai/docs/generative ai/model reference/gemini