Create Chat with Llama AI API on New Failed Invoice Payment from Stripe API

Pipedream makes it easy to connect APIs for Llama AI, Stripe and 2,900+ other apps remarkably fast.

Trigger workflow on

New Failed Invoice Payment from the Stripe API

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Create Chat with the Llama AI API

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Getting Started#

This integration creates a workflow with a Stripe trigger and Llama AI action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Select this integration
Configure the New Failed Invoice Payment trigger
1. Connect your Stripe account
Configure the Create Chat action
1. Connect your Llama AI account
2. Configure Messages
3. Optional- Configure Functions
4. Optional- Configure Stream
5. Optional- Configure Function Call
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 Failed Invoice Payment on Stripe

Description:Emit new event for each new failed invoice payment

Version:0.1.4

Key:stripe-new-failed-invoice-payment

View on GitHub

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 common from "../common/webhook-base.mjs";

export default {
  ...common,
  key: "stripe-new-failed-invoice-payment",
  name: "New Failed Invoice Payment",
  type: "source",
  version: "0.1.4",
  description: "Emit new event for each new failed invoice payment",
  methods: {
    ...common.methods,
    getEvents() {
      return [
        "invoice.payment_failed",
      ];
    },
  },
};

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
Stripe	`app`	`app`	This component uses the Stripe app.
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.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.

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.

About Stripe#

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

Action#

Create Chat on Llama AI

Description:Creates a new chat. [See the documentation](https://docs.llama-api.com/api-reference/endpoint/create)

Version:0.0.2

Key:llama_ai-create-chat

View on GitHub

Llama AI Overview#

The Llama AI API provides powerful machine learning capabilities, enabling users to harness advanced AI for image recognition, natural language processing, and predictive modeling. By leveraging this API on Pipedream, you can automate complex workflows that require AI-driven insights, enhancing data analysis and decision-making processes across various business applications.

Action Code#

import utils from "../../common/utils.mjs";
import app from "../../llama_ai.app.mjs";

export default {
  key: "llama_ai-create-chat",
  name: "Create Chat",
  description: "Creates a new chat. [See the documentation](https://docs.llama-api.com/api-reference/endpoint/create)",
  version: "0.0.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    app,
    messages: {
      type: "string[]",
      label: "Messages",
      description: "A collection of messages that form the ongoing conversation. Each message should be a JSON string.",
    },
    functions: {
      type: "string[]",
      label: "Functions",
      description: "A list of functions for which the model can generate JSON inputs. Each function should be a JSON string.",
      optional: true,
    },
    stream: {
      type: "boolean",
      label: "Stream",
      description: "When this option is enabled, the model will send partial message updates, similar to ChatGPT. Tokens will be transmitted as data-only server-sent events as they become available, and the streaming will conclude with a data: [DONE] marker.",
      optional: true,
    },
    functionCall: {
      type: "string",
      label: "Function Call",
      description: "This parameter governs the model's response to function calls. Choosing \"none\" indicates that the model will not invoke any functions and will respond directly to the end-user.",
      optional: true,
    },
  },
  methods: {
    createChat(args = {}) {
      return this.app.post({
        path: "/chat/completions",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      createChat,
      messages,
      functions,
      stream,
      functionCall,
    } = this;

    const response = await createChat({
      $,
      data: {
        messages: utils.parseArray(messages),
        functions: utils.parseArray(functions),
        stream,
        function_call: functionCall,
      },
    });

    $.export("$summary", `Successfully created a new chat with \`${response.choices.length}\` choice(s)`);
    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
Llama AI	`app`	`app`	This component uses the Llama AI app.
Messages	`messages`	`string[]`	A collection of messages that form the ongoing conversation. Each message should be a JSON string.
Functions	`functions`	`string[]`	A list of functions for which the model can generate JSON inputs. Each function should be a JSON string.
Stream	`stream`	`boolean`	When this option is enabled, the model will send partial message updates, similar to ChatGPT. Tokens will be transmitted as data-only server-sent events as they become available, and the streaming will conclude with a data: [DONE] marker.
Function Call	`functionCall`	`string`	This parameter governs the model's response to function calls. Choosing "none" indicates that the model will not invoke any functions and will respond directly to the end-user.

Create Chat with Llama AI API on New Failed Invoice Payment from Stripe API

Pipedream makes it easy to connect APIs for Llama AI, Stripe and 2,900+ other apps remarkably fast.

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

Developers ♥ Pipedream

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