What do you want to automate
with Vercel and Google Vertex AI?
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Popular Ways to Connect Vercel with Google Vertex AI#
Popular Vercel and Google Vertex AI Triggers#
Emit new event when a deployment is canceled See the documentation
Emit new event when a deployment encounters an error See the documentation
Emit new event when a deployment successfully completes See the documentation
Emit new event when a deployment is created See the documentation
Popular Vercel and Google Vertex AI Actions#
Cancel a deployment which is currently building. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Create a new deployment from a GitHub repository. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
Overview of Vercel#
The Vercel API empowers developers to automate, manage, and interact with their Vercel projects and deployments directly through code. With the Vercel API on Pipedream, you can harness the power of serverless functions to create dynamic and responsive workflows. Automate deployment processes, sync deployment statuses with other tools, trigger notifications based on deployment events, or manage your domains and aliases—all within the seamless integration landscape of Pipedream.
Connect Vercel#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vercel_token_auth: {
type: "app",
app: "vercel_token_auth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.vercel.com/www/user`,
headers: {
Authorization: `Bearer ${this.vercel_token_auth.$auth.personal_access_token}`,
},
})
},
})
Overview of Google Vertex AI#
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.
Connect Google Vertex AI#
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}`,
},
})
},
})
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