← Stripe + Google PaLM integrations

Chat with Google PaLM API on New Custom Webhook Events from Stripe API

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New Custom Webhook Events from the Stripe API
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Chat with the Google PaLM API
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Getting Started

This integration creates a workflow with a Stripe trigger and Google PaLM 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 Custom Webhook Events trigger
    1. Connect your Stripe account
    2. Select one or more Events
  3. Configure the Chat action
    1. Connect your Google PaLM account
    2. Configure Prompt Text
    3. Optional- Configure Previous Messages
    4. Optional- Configure Temperature
    5. Optional- Configure Context
    6. Optional- Configure Candidate Count
    7. Optional- Configure Top K
    8. Optional- Configure Top P
    9. Optional- Configure Max Output Tokens
    10. Optional- Configure Stop Sequences
    11. Optional- Select one or more Harm Categories
  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 on each webhook event
Version:0.1.1
Key:stripe-custom-webhook-events

Stripe Overview

The Stripe API is a powerful tool for managing online payments, subscriptions, and invoices. With Pipedream, you can leverage this API to automate payment processing, monitor transactions, and sync billing data with other services. Pipedream's no-code platform allows for quick integration and creation of serverless workflows that react to Stripe events in real-time. For instance, you might automatically update customer records, send personalized emails after successful payments, or escalate failed transactions to your support team.

Trigger Code

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

export default {
  ...common,
  key: "stripe-custom-webhook-events",
  name: "New Custom Webhook Events",
  type: "source",
  version: "0.1.1",
  description: "Emit new event on each webhook event",
  props: {
    ...common.props,
    enabledEvents: {
      type: "string[]",
      label: "Events",
      description: "Events to listen for. Select `*` for all events",
      options: constants.WEBHOOK_EVENTS,
      default: [
        "*",
      ],
    },
  },
  methods: {
    ...common.methods,
    getEvents() {
      return this.enabledEvents;
    },
  },
  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
StripestripeappThis component uses the Stripe app.
N/Ahttp$.interface.httpThis component uses $.interface.http to generate a unique URL when the component is first instantiated. Each request to the URL will trigger the run() method of the component.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
EventsenabledEventsstring[]Select a value from the drop down menu:*account.application.authorizedaccount.application.deauthorizedaccount.external_account.createdaccount.external_account.deletedaccount.external_account.updatedaccount.updatedapplication_fee.createdapplication_fee.refund.updatedapplication_fee.refundedbalance.availablecapability.updatedcharge.capturedcharge.dispute.closedcharge.dispute.createdcharge.dispute.funds_reinstatedcharge.dispute.funds_withdrawncharge.dispute.updatedcharge.expiredcharge.failedcharge.pendingcharge.refund.updatedcharge.refundedcharge.succeededcharge.updatedcheckout.session.async_payment_failedcheckout.session.async_payment_succeededcheckout.session.completedcoupon.createdcoupon.deletedcoupon.updatedcredit_note.createdcredit_note.updatedcredit_note.voidedcustomer.createdcustomer.deletedcustomer.discount.createdcustomer.discount.deletedcustomer.discount.updatedcustomer.source.createdcustomer.source.deletedcustomer.source.expiringcustomer.source.updatedcustomer.subscription.createdcustomer.subscription.deletedcustomer.subscription.pending_update_appliedcustomer.subscription.pending_update_expiredcustomer.subscription.trial_will_endcustomer.subscription.updatedcustomer.tax_id.createdcustomer.tax_id.deletedcustomer.tax_id.updatedcustomer.updatedfile.createdinvoice.createdinvoice.deletedinvoice.finalizedinvoice.marked_uncollectibleinvoice.paidinvoice.payment_action_requiredinvoice.payment_failedinvoice.payment_succeededinvoice.sentinvoice.upcominginvoice.updatedinvoice.voidedinvoiceitem.createdinvoiceitem.deletedinvoiceitem.updatedissuing_authorization.createdissuing_authorization.requestissuing_authorization.updatedissuing_card.createdissuing_card.updatedissuing_cardholder.createdissuing_cardholder.updatedissuing_dispute.createdissuing_dispute.funds_reinstatedissuing_dispute.updatedissuing_transaction.createdissuing_transaction.updatedmandate.updatedorder.createdorder.payment_failedorder.payment_succeededorder.updatedorder_return.createdpayment_intent.amount_capturable_updatedpayment_intent.canceledpayment_intent.createdpayment_intent.payment_failedpayment_intent.processingpayment_intent.succeededpayment_method.attachedpayment_method.card_automatically_updatedpayment_method.detachedpayment_method.updatedpayout.canceledpayout.createdpayout.failedpayout.paidpayout.updatedperson.createdperson.deletedperson.updatedplan.createdplan.deletedplan.updatedprice.createdprice.deletedprice.updatedproduct.createdproduct.deletedproduct.updatedradar.early_fraud_warning.createdradar.early_fraud_warning.updatedrecipient.createdrecipient.deletedrecipient.updatedreporting.report_run.failedreporting.report_run.succeededreporting.report_type.updatedreview.closedreview.openedsetup_intent.canceledsetup_intent.createdsetup_intent.setup_failedsetup_intent.succeededsigma.scheduled_query_run.createdsku.createdsku.deletedsku.updatedsource.canceledsource.chargeablesource.failedsource.mandate_notificationsource.refund_attributes_requiredsource.transaction.createdsource.transaction.updatedsubscription_schedule.abortedsubscription_schedule.canceledsubscription_schedule.completedsubscription_schedule.createdsubscription_schedule.expiringsubscription_schedule.releasedsubscription_schedule.updatedtax_rate.createdtax_rate.updatedtopup.canceledtopup.createdtopup.failedtopup.reversedtopup.succeededtransfer.createdtransfer.failedtransfer.paidtransfer.reversedtransfer.updated

Trigger Authentication

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

Stripe uses API keys to authenticate requests (more info in their docs here).

To connect Pipedream to your Stripe account,

  1. Create a Stripe API key
  2. Click "Create Restricted Key"
  3. Enter the Restricted API key below.

To help ensure proper security, we recommend you create a Restricted key with scopes relevant to the specific operations you will use in Pipedream.

About Stripe

Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes.

Action

Description:Chat using Google PaLM. [See the docs here](https://developers.generativeai.google/api/python/google/generativeai/chat)
Version:0.0.2
Key:google_palm_api-chat

Google PaLM Overview

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.

Action Code

import app from "../../google_palm_api.app.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "google_palm_api-chat",
  name: "Chat",
  description: "Chat using Google PaLM. [See the docs here](https://developers.generativeai.google/api/python/google/generativeai/chat)",
  version: "0.0.2",
  type: "action",
  props: {
    app,
    promptText: {
      type: "string",
      label: "Prompt Text",
      description: "The text to be used as a prompt for the chat",
    },
    previousMessages: {
      type: "string[]",
      label: "Previous Messages",
      description: "The previous messages in the chat. If provided, will override the chat history",
      optional: true,
    },
    temperature: {
      type: "string",
      label: "Temperature",
      description: `The temperature to use for the chat. Values can range from [0.0,1.0], inclusive.
        A value closer to 1.0 will produce responses that are more varied and creative, while a value closer to 0.0 will typically result in more straightforward responses from the model.
        Defaults to \`0.5\``,
      optional: true,
    },
    context: {
      type: "string",
      label: "Context",
      description: "Text that should be provided to the model first, to ground the response",
      optional: true,
    },
    candidateCount: {
      type: "integer",
      label: "Candidate Count",
      description: "The maximum number of generated response messages to return. This value must be between [1, 8], inclusive. If unset, this will default to 1. Note: Only unique candidates are returned. Higher temperatures are more likely to produce unique candidates. Setting temperature=0.0 will always return 1 candidate regardless of the candidate_count.",
      optional: true,
      default: 1,
      min: 1,
      max: 8,
    },
    topK: {
      type: "string",
      label: "Top K",
      description: "The API uses combined nucleus and top-k sampling. top_k sets the maximum number of tokens to sample from on each step.",
      optional: true,
    },
    topP: {
      type: "string",
      label: "Top P",
      description: "  The API uses combined nucleus and top-k sampling. top_p configures the nucleus sampling. It sets the maximum cumulative probability of tokens to sample from. For example, if the sorted probabilities are [0.5, 0.2, 0.1, 0.1, 0.05, 0.05] a top_p of 0.8 will sample as [0.625, 0.25, 0.125, 0, 0, 0]. Typical values are in the [0.9, 1.0] range.",
      optional: true,
    },
    maxOutputTokens: {
      type: "integer",
      label: "Max Output Tokens",
      description: "Maximum number of tokens to include in a candidate. Must be greater than zero. If unset, will default to 64.",
      optional: true,
    },
    stopSequences: {
      type: "string",
      label: "Stop Sequences",
      description: "A set of up to 5 character sequences that will stop output generation. If specified, the API will stop at the first appearance of a stop sequence. The stop sequence will not be included as part of the response.",
      optional: true,
    },
    harmCategories: {
      type: "string[]",
      label: "Harm Categories",
      description: "To set safety settings, select the harm categories to set a threshold for",
      optional: true,
      options() {
        return constants.HARM_CATEGORIES.map(({
          value, label,
        }) => ({
          value,
          label,
        }));
      },
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (!this.harmCategories?.length) {
      return props;
    }
    for (const category of this.harmCategories) {
      props[`${category}_threshold`] = {
        type: "string",
        label: `${category} - Harm Block Threshold`,
        description: `Select the harm block threshold to set for the category ${category}`,
        options: this.getThresholdOptions(),
      };
    }
    return props;
  },
  methods: {
    getThresholdOptions() {
      return constants.HARM_BLOCK_THRESHOLD.map(({
        value, label,
      }) => ({
        value,
        label,
      }));
    },
    async chat({
      promptText,
      previousMessages,
      temperature,
      context,
      candidateCount,
      topK,
      topP,
      maxOutputTokens,
      stopSequences,
      safetySettings,
    }) {
      return this.app.chat({
        temperature,
        prompt: {
          context,
          messages: [
            ...previousMessages.map((message) => ({
              content: message,
            })),
            {
              content: promptText,
            },
          ],
        },
        candidate_count: candidateCount,
        top_k: topK
          ? +topK
          : undefined,
        top_p: topP
          ? +topP
          : undefined,
        max_output_tokens: maxOutputTokens,
        stop_sequences: stopSequences,
        safety_settings: safetySettings,
      });
    },
  },
  async run({ $ }) {
    const safetySettings = [];
    if (this.harmCategories?.length) {
      for (const category of this.harmCategories) {
        const threshold = constants.HARM_BLOCK_THRESHOLD.find(({ value }) => value === this[`${category}_threshold`]);
        safetySettings.push({
          category: (constants.HARM_CATEGORIES.find(({ value }) => value === category)).numValue,
          threshold: threshold?.numValue,
        });
      }
    }

    const response = await this.chat({
      promptText: this.promptText,
      previousMessages: this.previousMessages || [],
      temperature: parseFloat(this.temperature || "0.5"),
      context: this.context,
      candidteaCount: this.candidateCount,
      topK: this.topK,
      topP: this.topP,
      maxOutputTokens: this.maxOutputTokens,
      stopSequences: this.stopSequences,
      safetySettings,
    });
    $.export("$summary", "Successfully received response from Google PaLM");
    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
Google PaLMappappThis component uses the Google PaLM app.
Prompt TextpromptTextstring

The text to be used as a prompt for the chat

Previous MessagespreviousMessagesstring[]

The previous messages in the chat. If provided, will override the chat history

Temperaturetemperaturestring

The temperature to use for the chat. Values can range from [0.0,1.0], inclusive.
A value closer to 1.0 will produce responses that are more varied and creative, while a value closer to 0.0 will typically result in more straightforward responses from the model.
Defaults to 0.5

Contextcontextstring

Text that should be provided to the model first, to ground the response

Candidate CountcandidateCountinteger

The maximum number of generated response messages to return. This value must be between [1, 8], inclusive. If unset, this will default to 1. Note: Only unique candidates are returned. Higher temperatures are more likely to produce unique candidates. Setting temperature=0.0 will always return 1 candidate regardless of the candidate_count.

Top KtopKstring

The API uses combined nucleus and top-k sampling. top_k sets the maximum number of tokens to sample from on each step.

Top PtopPstring

The API uses combined nucleus and top-k sampling. top_p configures the nucleus sampling. It sets the maximum cumulative probability of tokens to sample from. For example, if the sorted probabilities are [0.5, 0.2, 0.1, 0.1, 0.05, 0.05] a top_p of 0.8 will sample as [0.625, 0.25, 0.125, 0, 0, 0]. Typical values are in the [0.9, 1.0] range.

Max Output TokensmaxOutputTokensinteger

Maximum number of tokens to include in a candidate. Must be greater than zero. If unset, will default to 64.

Stop SequencesstopSequencesstring

A set of up to 5 character sequences that will stop output generation. If specified, the API will stop at the first appearance of a stop sequence. The stop sequence will not be included as part of the response.

Harm CategoriesharmCategoriesstring[]Select a value from the drop down menu.

Action Authentication

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

Generate an API key or join the PaLM waitlist here, then enter your API key below.

About Google PaLM

Build generative AI applications with Google's PaLM 2 model.

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