Pipedream

Integration platform for developers

Integrate the Pipedream API with the Google PaLM API

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

Chat with Google PaLM API on New Scheduled Tasks from Pipedream API
Pipedream + Google PaLM
 
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Generate Embeddings with Google PaLM API on New Scheduled Tasks from Pipedream API
Pipedream + Google PaLM
 
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Generate Text with Google PaLM API on New Scheduled Tasks from Pipedream API
Pipedream + Google PaLM
 
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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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Chat with the Google PaLM API

Chat using Google PaLM. See the docs here

 
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Generate Embeddings with the Google PaLM API

Generate embeddings using Google PaLM. See the docs here

 
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Create a Subscription with the Pipedream API

Create a Subscription. See Doc

 
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Generate Text with the Google PaLM API

Generate text using Google PaLM. See the docs here

 
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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

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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 PaLM

The Google PaLM API is a cutting-edge language model that allows developers to integrate advanced natural language understanding into their applications. On Pipedream, you can harness this power to create serverless workflows that react to various triggers and perform actions based on the insights and outputs from PaLM. Whether it's generating content, summarizing text, or understanding user intent, PaLM's capabilities can be integrated into Pipedream workflows to automate complex tasks involving language.

Connect Google PaLM

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import { v1beta2 } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";

export default defineComponent({
  props: {
    google_palm_api: {
      type: "app",
      app: "google_palm_api",
    }
  },
  async run({ steps, $ }) {
    const client = new v1beta2.TextServiceClient({
      authClient: new GoogleAuth().fromAPIKey(this.google_palm_api.$auth.palm_api_key),
    });

    const text = "Repeat after me: one, two,";
    const model = "models/text-bison-001";

    return await client
      .generateText({
        model,
        prompt: {
          text,
        },
      })
  },
})