Create Completion (Send Prompt) with OpenAI (ChatGPT) API on New Webhook Event (Instant) from Payhere API

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New Webhook Event (Instant) from the Payhere 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 Payhere 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 Webhook Event (Instant) trigger
1. Connect your Payhere account
2. Configure Integration Name
3. Select a Event Type
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
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 Webhook Event (Instant) on Payhere

Description:Emit new event for each new webhook event

Version:0.0.1

Key:payhere-new-webhook-event

View on GitHub

Payhere Overview#

With the Payhere API, you can build a variety of powerful and user-friendly
payment solutions. Whether you are creating an online store, accepting
donations, taking payments for services, or creating a membership system, the
Payhere API allows you to securely handle payment solutions without having to
worry about any of the technical complexities that come with implementing
payments.

Payhere provides a host of useful features, like:

Securely handle payments from most major credit cards and debit cards
Accept payments from bank transfers, PayPal, mobile money, and more
Stay up-to-date on the status of payments and customers with real-time
notifications
Automate sorting and reconciling payments using the Payhere features

Below are a few examples of what you can build using the Payhere API:

Online stores with product and inventory management
Donation portals
Online ticketing systems
Billing platforms for services
Subscription systems for membership sites
Peer-to-peer (P2P) payments within an application
Marketplace payment solutions
Ecommerce payment processing
Mobile payment options for on-the-go payment options

Trigger Code#

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

export default {
  key: "payhere-new-webhook-event",
  name: "New Webhook Event (Instant)",
  description: "Emit new event for each new webhook event",
  type: "source",
  version: "0.0.1",
  dedupe: "unique",
  props: {
    payhere,
    db: "$.service.db",
    http: "$.interface.http",
    integrationName: {
      label: "Integration Name",
      description: "Friendly name of your platform, helps with metrics and debugging",
      type: "string",
    },
    resource: {
      label: "Event Type",
      description: "The event that will be listen",
      type: "string",
      options: constants.WEBHOOK_EVENT_TYPES,
    },
  },
  methods: {
    _getWebhookId() {
      return this.db.get("webhookId");
    },
    _setWebhookId(webhookId) {
      this.db.set("webhookId", webhookId);
    },
  },
  hooks: {
    async activate() {
      const response = await this.payhere.createWebhook({
        integration: this.integrationName,
        post_url: this.http.endpoint,
        resource: this.resource,
      });

      this._setWebhookId(response.id);
    },
    async deactivate() {
      const webhookId = this._getWebhookId();
      await this.payhere.removeWebhook(webhookId);
    },
  },
  async run(event) {
    const { body } = event;

    const resourceId = body?.payment?.id ?? body?.subscription?.id;
    const ts = body?.payment?.created_at ?? body?.subscription?.created_at;

    this.$emit(body, {
      id: resourceId,
      summary: `New event ${body.event} with id ${resourceId}`,
      ts: Date.parse(ts),
    });
  },
};

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
Payhere	`payhere`	`app`	This component uses the Payhere app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
N/A	`http`	`$.interface.http`	This component uses `$.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.
Integration Name	`integrationName`	`string`	Friendly name of your platform, helps with metrics and debugging
Event Type	`resource`	`string`	Select a value from the drop down menu:`{ "label": "Payment Received", "value": "payment_received" }{ "label": "Subscription Cancelled", "value": "subscription_cancelled" }{ "label": "Subscription Created", "value": "subscription_created" }`

Trigger Authentication#

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

You can find your API key in the integrations section of the merchants admin.

For environment, Payhere provides a sandbox site so you can easily test your integration without using your own money. See docs. If you aren't testing, use the production option.

About Payhere#

Easy payment links

Action#

Create Completion (Send Prompt) on OpenAI (ChatGPT)

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:0.1.1

Key:openai-send-prompt

View on GitHub

OpenAI (ChatGPT) Overview#

The OpenAI API is a powerful tool that provides access to a range of
high-powered machine learning models. With the OpenAI API, developers can
create products, services, and tools that enable humanizing AI experiences, and
build applications that extend the power of human language.

Using the OpenAI API, developers can create language-driven applications such
as:

Natural language understanding and sentiment analysis
Text-based search
Question answering
Dialogue systems and conversation agents
Intelligent text completion
Text summarization
Text classification
Machine translation
Language generation
Multi-factor authentication
Anomaly detection
Text analysis

Action Code#

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

export default {
  ...common,
  name: "Create Completion (Send Prompt)",
  version: "0.1.1",
  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.

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.
Prompt	`prompt`	`string`	The prompt to generate completions for
Suffix	`suffix`	`string`	The suffix that comes after a completion of inserted text
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.
Best Of	`bestOf`	`integer`	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.