Validate reCAPTCHA Response with Google reCAPTCHA API on New Run State Changed from OpenAI (ChatGPT) API

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

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New Run State Changed from the OpenAI (ChatGPT) API

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Validate reCAPTCHA Response with the Google reCAPTCHA API

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Getting Started#

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

Select this integration
Configure the New Run State Changed trigger
1. Connect your OpenAI (ChatGPT) account
2. Configure timer
3. Configure Thread ID
Configure the Validate reCAPTCHA Response action
1. Connect your Google reCAPTCHA account
2. Optional- Configure Remote IP Address
3. Configure Token
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 Run State Changed on OpenAI (ChatGPT)

Description:Emit new event every time a run changes its status. [See the documentation](https://platform.openai.com/docs/api-reference/runs/listRuns)

Version:0.0.7

Key:openai-new-run-state-changed

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:

Trigger Code#

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

export default {
  ...common,
  key: "openai-new-run-state-changed",
  name: "New Run State Changed",
  description: "Emit new event every time a run changes its status. [See the documentation](https://platform.openai.com/docs/api-reference/runs/listRuns)",
  version: "0.0.7",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    threadId: {
      propDefinition: [
        common.props.openai,
        "threadId",
      ],
    },
  },
  methods: {
    ...common.methods,
    getStatusItems() {
      return this.db.get("statusItems");
    },
    setStatusItems(value) {
      this.db.set("statusItems", value);
    },
    async getData() {
      const {
        openai,
        threadId,
      } = this;

      const { data } = await openai.listRuns({
        threadId,
      });

      return data;
    },
    getMeta(item) {
      const ts = Date.now();
      return {
        id: `${item.id}-${ts}`,
        summary: `Run State Changed: ${item.id}`,
        ts,
      };
    },
    statusByItemId(itemId, statusItems) {
      const { [itemId]: status } = statusItems || {};
      return status;
    },
    buildStatusItems(data) {
      return data?.reduce((acc, item) => ({
        ...acc,
        [item.id]: item.status,
      }), {});
    },
    async getAndProcessItems(maxEvents) {
      const {
        getData,
        getStatusItems,
        setStatusItems,
        statusByItemId,
        buildStatusItems,
        getMeta,
        $emit: emit,
      } = this;

      const data = await getData();
      const statusItems = getStatusItems();

      Array.from(data)
        .reverse()
        .forEach((item, index) => {
          const statusChanged = statusByItemId(item.id, statusItems) !== item.status;
          if ((!maxEvents || index < maxEvents) && statusChanged) {
            emit(item, getMeta(item));
          }
        });

      setStatusItems(buildStatusItems(data));
    },
  },
  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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`
Thread ID	`threadId`	`string`	The unique identifier for the thread. Example: `thread_abc123`. To locate the thread ID, make sure your OpenAI Threads setting (Settings -> Organization/Personal -> General -> Features and capabilities -> Threads) is set to "Visible to organization owners" or "Visible to everyone". You can then access the list of threads and click on individual threads to reveal their IDs

Trigger 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.

Action#

Validate reCAPTCHA Response on Google reCAPTCHA

Description:Validate a Google reCAPTCHA request (v2 or v3). [See docs here](https://developers.google.com/recaptcha/docs/verify)

Version:0.0.1

Key:google_recaptcha-validate-recaptcha

View on GitHub

Google reCAPTCHA Overview#

Google reCAPTCHA API helps you detect abusive traffic on your website without any user friction. It does this by presenting CAPTCHA challenges to users they need to solve before submitting forms, ensuring these actions are not generated by bots. The API returns a score, helping you decide what action to take for your website: for instance, you might require further verification for low-scoring users. With Pipedream's ability to integrate with various APIs, you can create custom workflows that trigger upon the result of a reCAPTCHA verification, streamlining both security and user experience.

Action Code#

import googleRecaptcha from "../../app/google_recaptcha.app.mjs";
import { defineAction } from "@pipedream/types";
export default defineAction({
    name: "Validate reCAPTCHA Response",
    version: "0.0.1",
    key: "google_recaptcha-validate-recaptcha",
    description: "Validate a Google reCAPTCHA request (v2 or v3). [See docs here](https://developers.google.com/recaptcha/docs/verify)",
    props: {
        googleRecaptcha,
        remote_ip: {
            type: "string",
            label: "Remote IP Address",
            description: "The IP Address originating the request. This whould be the user IP where the challenge was executed on the frontend.",
            default: "{{steps.trigger.event.client_ip}}",
            optional: true,
        },
        token: {
            type: "string",
            label: "Token",
            description: "The reCAPTCHA response token to validate. This is the response when the challenge is executed on the frontend.",
        },
    },
    type: "action",
    methods: {},
    async run({ $ }) {
        const response = await this.googleRecaptcha.validateRecaptcha({
            $,
            params: {
                response: this.token,
                remoteip: this.remote_ip,
            },
        });
        $.export("$summary", "reCAPTCHA validation request has been sent.");
        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.

Label	Prop	Type	Description
Google reCAPTCHA	`googleRecaptcha`	`app`	This component uses the Google reCAPTCHA app.
Remote IP Address	`remote_ip`	`string`	The IP Address originating the request. This whould be the user IP where the challenge was executed on the frontend.
Token	`token`	`string`	The reCAPTCHA response token to validate. This is the response when the challenge is executed on the frontend.