Summarize Text with OpenAI (ChatGPT) API on New Vacation Request from Convenia API

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New Vacation Request from the Convenia API

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Summarize Text with the OpenAI (ChatGPT) API

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Getting Started#

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

Select this integration
Configure the New Vacation Request trigger
1. Connect your Convenia account
2. Configure timer
Configure the Summarize Text action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Optional- Configure Max Tokens
4. Optional- Configure Temperature
5. Optional- Configure Top P
6. Optional- Configure N
7. Optional- Configure Stop
8. Optional- Configure Presence Penalty
9. Optional- Configure Frequency Penalty
10. Optional- Configure User
11. Configure Text
12. Optional- Select a Summary Length
Deploy the workflow
Send a test event to validate your setup
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#

New Vacation Request on Convenia

Description:Emit new event when there is a new vacation request at the company.

Version:0.0.1

Key:convenia-new-vacation-request

View on GitHub

Convenia Overview#

The Convenia API offers a suite of HR management functionalities, allowing for the automation of employee onboarding, payroll management, and other HR tasks. By integrating with Convenia via Pipedream, you can streamline HR operations, sync employee data across applications, and trigger actions based on various HR events. Pipedream's serverless platform facilitates the creation of complex workflows to interact with the Convenia API, enabling developers and HR professionals to build custom automations without managing infrastructure.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import convenia from "../../convenia.app.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  key: "convenia-new-vacation-request",
  name: "New Vacation Request",
  description: "Emit new event when there is a new vacation request at the company.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  props: {
    convenia,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  methods: {
    _getLastDate() {
      return this.db.get("lastDate") || 0;
    },
    _setLastDate(id) {
      this.db.set("lastDate", id);
    },
    async startEvent(maxResults = false) {
      const lastDate = this._getLastDate();
      let count = 0;
      let responseArray = [];
      let items = this.convenia.paginate({
        fn: this.convenia.listVacations,
      });

      for await (const item of items) {
        responseArray.push(item);
      }

      responseArray = responseArray
        .filter((item) => Date.parse(item.created_at) >= lastDate)
        .sort((a, b) => Date.parse(a.created_at) - Date.parse(b.created_at));

      for (const vacation of responseArray) {
        if (maxResults && (++count >= maxResults)) break;

        this.$emit(vacation, {
          id: vacation.id,
          summary: `New vacation request with ID: ${vacation.id}`,
          ts: Date.parse(vacation.created_at),
        });
      }

      if (responseArray.length > 0) {
        this._setLastDate(Date.parse(responseArray[responseArray.length - 1].created_at));
      }
    },
  },
  hooks: {
    async deploy() {
      await this.startEvent(25);
    },
  },
  async run() {
    await this.startEvent();
  },
  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.

Label	Prop	Type	Description
Convenia	`convenia`	`app`	This component uses the Convenia app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

To retrieve your API token,
* Navigate to your Convenia account and sign in
* Go to “Configurações” > “API”

About Convenia#

Convenia is a cloud people management software for small business that increase its efficiency and eliminating operational labor.

Action#

Summarize Text on OpenAI (ChatGPT)

Description:Summarizes text using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)

Version:0.1.2

Key:openai-summarize

View on GitHub

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 common from "../common/common-helper.mjs";
import constants from "../../common/constants.mjs";

export default {
  ...common,
  name: "Summarize Text",
  version: "0.1.2",
  key: "openai-summarize",
  description: "Summarizes text using the Chat API. [See the documentation](https://platform.openai.com/docs/api-reference/chat)",
  type: "action",
  props: {
    ...common.props,
    text: {
      label: "Text",
      description: "The text to summarize",
      type: "string",
    },
    length: {
      label: "Summary Length",
      description: "The length of the summary",
      type: "string",
      optional: true,
      options: constants.SUMMARIZE_LENGTH,
    },
  },
  methods: {
    ...common.methods,
    systemInstructions() {
      return "Your goal is to summarize the text the user provides. Please follow the length guidelines presented in the prompt.";
    },
    maxLength() {
      return this.length
        ? ` in one ${this.length}`
        : "";
    },
    userMessage() {
      return `Summarize the following text${this.maxLength()}: ${this.text}`;
    },
    formatOutput({
      messages, response,
    }) {
      if (!messages || !response) {
        throw new Error("Invalid API output, please reach out to https://pipedream.com/support");
      }
      const output = {
        messages,
      };
      if (this.n > 1) {
        output.summaries = response.choices?.map(({ message }) => message.content);
      } else {
        output.summary = response.choices?.[0]?.message?.content;
      }
      return output;
    },
  },
};

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.

Label	Prop	Type	Description
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	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 P	`topP`	`string`	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.
N	`n`	`integer`	How many completions to generate for each prompt
Stop	`stop`	`string[]`	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
Presence Penalty	`presencePenalty`	`string`	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 Penalty	`frequencyPenalty`	`string`	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.
User	`user`	`string`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.
Text	`text`	`string`	The text to summarize
Summary Length	`length`	`string`	Select a value from the drop down menu:`wordsentenceparagraphpage`

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.

More Ways to Connect OpenAI (ChatGPT) + Convenia#

Other Popular Integrations#

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Summarize Text with OpenAI (ChatGPT) API on New Vacation Request from Convenia API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Convenia and 2,400+ other apps remarkably fast.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Developers ♥ Pipedream

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