Integrate the Pipedream API with the Google Vertex AI API

Setup the Pipedream API trigger to run a workflow which integrates with the Google Vertex AI API. Pipedream's integration platform allows you to integrate Pipedream and Google Vertex AI remarkably fast. Free for developers.

Popular Ways to Connect Pipedream with Google Vertex AI#

Analyze Image/Video with Google Vertex AI API on New Scheduled Tasks from Pipedream API

Pipedream + Google Vertex AI

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Analyze Text Sentiment with Google Vertex AI API on New Scheduled Tasks from Pipedream API

Pipedream + Google Vertex AI

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Classify Text with Google Vertex AI API on New Scheduled Tasks from Pipedream API

Pipedream + Google Vertex AI

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Popular Pipedream and Google Vertex AI Triggers#

New Scheduled Tasks from the Pipedream API

Exposes an HTTP API for scheduling messages to be emitted at a future time

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New Upcoming Event Alert from the Pipedream API

Emit new event based on a time interval before an upcoming event in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.

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New Upcoming Calendar Event from the Pipedream API

Emit new event when a Calendar event is upcoming, this source is using reminderMinutesBeforeStart property of the event to determine the time it should emit.

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New Upcoming Event Type Alert from the Pipedream API

Emit new event based on a time interval before an upcoming event of the specified type ("default", "focusTime", "outOfOffice", "workingLocation") in the calendar. This source uses Pipedream's Task Scheduler. See the documentation for more information and instructions for connecting your Pipedream account.

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Popular Pipedream and Google Vertex AI Actions#

Analyze Image/Video with the Google Vertex AI API

Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation

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Analyze Text Sentiment with the Google Vertex AI API

Analyzes a specified text for its underlying sentiment. See the documentation

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Create a Subscription with the Pipedream API

Create a Subscription. See Doc

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Classify Text with the Google Vertex AI API

Groups a provided text into predefined categories. See the documentation

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Delete a Subscription with the Pipedream API

Delete a Subscription. See Doc

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Overview of Pipedream#

Pipedream is an API that allows you to build applications that can connect to
various data sources and processes them in real-time. You can use Pipedream to
create applications that can perform ETL (Extract, Transform, and Load) tasks,
as well as to create data-driven workflows.

Some examples of applications you can build using the Pipedream API include:

An application that can extract data from a database, transform it, and then
load it into another database.
An application that can monitor a data source for changes, and then trigger a
workflow in response to those changes.
An application that can poll an API for new data, and then process that data
in real-time.

Connect Pipedream#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pipedream: {
      type: "app",
      app: "pipedream",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.pipedream.com/v1/users/me`,
      headers: {
        Authorization: `Bearer ${this.pipedream.$auth.api_key}`,
      },
    })
  },
})

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}`,
      },
    })
  },
})