Google Vertex AI
Vertex AI offers everything you need to build and use generative AI—from AI solutions, to Search and Conversation, to 130+ foundation models, to a unified AI platform.
Go to siteGoogle Vertex AI API Integrations
Build and run workflows using the Google Vertex AI API. Use 1000s of source-available triggers and actions across 2,000+ apps. Or write custom code to integrate any app or API in seconds.
Overview#
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})
Choose an API to Connect with Google Vertex AI API#
1-24of2,000+apps by most popular
Example Use Cases#
Automate Machine Learning Workflows: Trigger a Pipedream workflow to automatically train a Vertex AI model with new data by connecting to a data source like Google Cloud Storage. Once training is complete, you can deploy the model to an endpoint and notify your team via Slack.
Process Data with Vertex AI Pipelines: Integrate Vertex AI with Pipedream's cron scheduler to run preprocessing jobs on datasets at set intervals. Use the results to update models, perform feature engineering, or push insights to a Google Sheets spreadsheet for easy analysis and reporting.
Real-time Predictions with Event Triggers: Set up a webhook in Pipedream to receive real-time data from a source app like Stripe for transaction fraud detection. Pass the data to Vertex AI for prediction and, based on the response, trigger an automated action, such as flagging the transaction, or emailing a summary report using SendGrid.
Popular Google Vertex AI Integrations#
Popular Google Vertex AI Actions#
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
Authentication#
Google Vertex AI uses OAuth authentication. When you connect your Google Vertex AI account, Pipedream will open a popup window where you can sign into Google Vertex AI and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Google Vertex AI API.
Pipedream requests the following authorization scopes when you connect your account:
emailprofilehttps://www.googleapis.com/auth/cloud-platform- authorization
GEThttps://accounts.google.com/o/oauth2/v2/auth?client_id={{oauth.client_id}}&redirect_uri={{oauth.redirect_uri}}&state={{oauth.state}}&response_type=code&scope={{oauth.space_separated_scopes}}&access_type=offline&prompt=consent - accessToken
POSThttps://oauth2.googleapis.com/tokencontent-type:application/x-www-form-urlencodedaccept:application/jsonclient_id={{oauth.client_id}}&client_secret={{oauth.client_secret}}&redirect_uri={{oauth.redirect_uri}}&grant_type=authorization_code&code={{oauth.code}} - refreshToken
POSThttps://oauth2.googleapis.com/tokencontent-type:application/x-www-form-urlencodedclient_id={{oauth.client_id}}&client_secret={{oauth.client_secret}}&grant_type=refresh_token&refresh_token={{oauth.refresh_token}}