← Google Calendar + OpenAI (ChatGPT) integrations

Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New Event Start from Google Calendar API

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Trigger workflow on
New Event Start from the Google Calendar API
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Create Completion (Send Prompt) with the OpenAI (ChatGPT) API
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Getting Started

This integration creates a workflow with a Google Calendar trigger and OpenAI (ChatGPT) action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Event Start trigger
    1. Connect your Google Calendar account
    2. Configure timer
    3. Optional- Select a Calendar ID
    4. Configure Minutes Before
  3. Configure the Create Completion (Send Prompt) action
    1. Connect your OpenAI (ChatGPT) account
    2. Select a Model
    3. Configure Prompt
    4. Optional- Configure Suffix
    5. Optional- Configure Max Tokens
    6. Optional- Configure Temperature
    7. Optional- Configure Top P
    8. Optional- Configure N
    9. Optional- Configure Stop
    10. Optional- Configure Presence Penalty
    11. Optional- Configure Frequency Penalty
    12. Optional- Configure User
    13. Optional- Configure Best Of
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event when the specified time before the Google Calendar event starts
Version:0.1.8
Key:google_calendar-event-start

Google Calendar Overview

The Google Calendar API lets you dip into the powerhouse of scheduling, allowing for the reading, creation, and manipulation of events and calendars directly from your applications. Through Pipedream, you can seamlessly integrate Google Calendar into a myriad of workflows, automating event management, syncing with other services, setting up custom reminders, or even collating data for reporting. The key here is to streamline your calendar-related processes, ensuring that your time management is as efficient and automated as possible.

Trigger Code

import common from "../common/common.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "google_calendar-event-start",
  name: "New Event Start",
  description: "Emit new event when the specified time before the Google Calendar event starts",
  version: "0.1.8",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    calendarId: {
      propDefinition: [
        common.props.googleCalendar,
        "calendarId",
      ],
    },
    minutesBefore: {
      type: "integer",
      label: "Minutes Before",
      description: "Emit the event this many minutes before the event starts",
      default: 5,
    },
  },
  methods: {
    ...common.methods,
    getMillisecondsBefore() {
      return +this.minutesBefore * 60 * 1000;
    },
    getConfig({
      now, intervalMs,
    }) {
      const {
        getMillisecondsBefore,
        calendarId,
      } = this;

      const timeMin = new Date(now.getTime() - getMillisecondsBefore()).toISOString();
      const timeMax = new Date(now.getTime() + intervalMs).toISOString();
      return {
        calendarId,
        timeMax,
        timeMin,
        singleEvents: true,
        orderBy: "startTime",
      };
    },
    isRelevant(event, {
      now, intervalMs,
    }) {
      const start = new Date(event?.start?.dateTime);
      const msFromStart = start.getTime() - now.getTime();
      return msFromStart > 0
        && msFromStart < (this.getMillisecondsBefore() + intervalMs);
    },
  },
  sampleEmit,
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
Google CalendargoogleCalendarappThis component uses the Google Calendar app.
timer$.interface.timer
Calendar IDcalendarIdstringSelect a value from the drop down menu.
Minutes BeforeminutesBeforeinteger

Emit the event this many minutes before the event starts

Trigger Authentication

Google Calendar uses OAuth authentication. When you connect your Google Calendar account, Pipedream will open a popup window where you can sign into Google Calendar 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 Calendar API.

Pipedream requests the following authorization scopes when you connect your account:

emailprofilehttps://www.googleapis.com/auth/calendar.eventshttps://www.googleapis.com/auth/calendar.readonlyhttps://www.googleapis.com/auth/calendar.settings.readonly

About Google Calendar

With Google Calendar, you can quickly schedule meetings and events and get reminders about upcoming activities, so you always know what’s next.

Action

Description:OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API. [See docs here](https://beta.openai.com/docs/api-reference/completions/create)
Version:0.1.7
Key:openai-send-prompt

OpenAI (ChatGPT) Overview

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code

import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";

export default {
  ...common,
  name: "Create Completion (Send Prompt)",
  version: "0.1.7",
  key: "openai-send-prompt",
  description: "OpenAI recommends using the **Chat** action for the latest `gpt-3.5-turbo` API, since it's faster and 10x cheaper. This action creates a completion for the provided prompt and parameters using the older `/completions` API. [See docs here](https://beta.openai.com/docs/api-reference/completions/create)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "completionModelId",
      ],
    },
    prompt: {
      label: "Prompt",
      description: "The prompt to generate completions for",
      type: "string",
    },
    suffix: {
      label: "Suffix",
      description: "The suffix that comes after a completion of inserted text",
      type: "string",
      optional: true,
    },
    ...common.props,
    bestOf: {
      label: "Best Of",
      description: "Generates best_of completions server-side and returns the \"best\" (the one with the highest log probability per token). If set, results cannot be streamed.",
      type: "integer",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.openai.createCompletion({
      $,
      args: this._getCommonArgs(),
    });

    if (response) {
      $.export("$summary", `Successfully sent prompt with id ${response.id}`);
    }

    return response;
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
OpenAI (ChatGPT)openaiappThis component uses the OpenAI (ChatGPT) app.
ModelmodelIdstringSelect a value from the drop down menu.
Promptpromptstring

The prompt to generate completions for

Suffixsuffixstring

The suffix that comes after a completion of inserted text

Max TokensmaxTokensinteger

The maximum number of tokens to generate in the completion.

Temperaturetemperaturestring

Optional. What sampling temperature to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer.

Top PtopPstring

An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or temperature but not both.

Nninteger

How many completions to generate for each prompt

Stopstopstring[]

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

Presence PenaltypresencePenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.

Frequency PenaltyfrequencyPenaltystring

Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.

Useruserstring

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.

Best OfbestOfinteger

Generates best_of completions server-side and returns the "best" (the one with the highest log probability per token). If set, results cannot be streamed.

Action Authentication

OpenAI (ChatGPT) uses API keys for authentication. When you connect your OpenAI (ChatGPT) account, Pipedream securely stores the keys so you can easily authenticate to OpenAI (ChatGPT) APIs in both code and no-code steps.

About OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

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