← Shopify + Cohere integrations

Chat with Cohere API on New Customer Created (Instant) from Shopify API

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New Customer Created (Instant) from the Shopify API
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Chat with the Cohere API
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Getting Started

This integration creates a workflow with a Shopify trigger and Cohere 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 Customer Created (Instant) trigger
    1. Connect your Shopify account
    2. Optional- Configure Metafield Namespaces
    3. Optional- Configure Private Metafield Namespaces
  3. Configure the Chat action
    1. Connect your Cohere account
    2. Configure Message
    3. Optional- Select a Model
    4. Optional- Configure Temperature
    5. Optional- Configure Max Tokens
    6. Optional- Configure K
    7. Optional- Configure P
    8. Optional- Configure Stop Sequences
    9. Optional- Configure Frequency Penalty
  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 for each new customer added to a store.
Version:0.0.4
Key:shopify_developer_app-new-customer-created

Shopify Overview

The Shopify Admin REST & GraphQL API unleashes a myriad of possibilities to automate and enhance online store operations. It provides programmatic access to Shopify functionalities, allowing users to manage products, customers, orders, and more. Leveraging the Shopify Admin API within Pipedream, developers can create custom workflows that automate repetitive tasks, sync data across platforms, and respond dynamically to events in Shopify.

This integration can be used as a custom app on your store, or for automating actions on behalf of merchants through your Shopify app.

Looking for integrating into the Shopify Partner API for your apps, themes or referrals? Check out our Shopify Partner API integration.

Trigger Code

import constants from "../common/constants.mjs";
import common from "../common/webhook-metafields.mjs";

export default {
  ...common,
  key: "shopify_developer_app-new-customer-created",
  name: "New Customer Created (Instant)",
  type: "source",
  description: "Emit new event for each new customer added to a store.",
  version: "0.0.4",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getTopic() {
      return constants.EVENT_TOPIC.CUSTOMERS_CREATE;
    },
    generateMeta(resource) {
      const ts = Date.parse(resource.created_at);
      return {
        id: resource.id,
        summary: `New Customer ${resource.id}.`,
        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.
LabelPropTypeDescription
ShopifyappappThis component uses the Shopify app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
N/Ahttp$.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.
Metafield NamespacesmetafieldNamespacesstring[]

Array of namespaces for any metafields that should be included with each webhook. Metafield definitions can be found in your store's Settings -> Custom Data. Select a metafield to view its namespace under "Namespace and key". For example, if the value is custom.test_metafield, the namespace is custom.

Private Metafield NamespacesprivateMetafieldNamespacesstring[]

Array of namespaces for any private metafields that should be included with each webhook. Metafield definitions can be found in your store's Settings -> Custom Data. Select a metafield to view its namespace under "Namespace and key". For example, if the value is custom.test_metafield, the namespace is custom.

Trigger Authentication

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

Get your Access Token

Create a custom app in Shopify to obtain your Admin API access token. See our detailed instructions here.

Enter your Admin API access token below, and save it in a secure location (we recommend using a password manager such as 1Password)

About Shopify

Shopify is a complete commerce platform that lets anyone start, manage, and grow a business. You can use Shopify to build an online store, manage sales, market to customers, and accept payments in digital and physical locations.

Action

Description:Generates a text response to a user message. [See the documentation](https://docs.cohere.com/reference/chat)
Version:0.0.1
Key:cohere_platform-chat

Cohere Overview

The Cohere API enables the development of apps with advanced natural language understanding capabilities. Utilizing machine learning, it can help with tasks like text generation, summarization, sentiment analysis, and more. On Pipedream, you can seamlessly integrate Cohere's features into serverless workflows, triggering actions based on text input, processing large volumes of data, or even enhancing chatbots with more human-like responses.

Action Code

import app from "../../cohere_platform.app.mjs";
import { clearObj } from "../../common/utils.mjs";

export default {
  key: "cohere_platform-chat",
  name: "Chat",
  version: "0.0.1",
  description: "Generates a text response to a user message. [See the documentation](https://docs.cohere.com/reference/chat)",
  type: "action",
  props: {
    app,
    message: {
      propDefinition: [
        app,
        "message",
      ],
    },
    model: {
      propDefinition: [
        app,
        "model",
      ],
    },
    temperature: {
      propDefinition: [
        app,
        "temperature",
      ],
    },
    maxTokens: {
      propDefinition: [
        app,
        "maxTokens",
      ],
    },
    k: {
      propDefinition: [
        app,
        "k",
      ],
    },
    p: {
      propDefinition: [
        app,
        "p",
      ],
    },
    stopSequences: {
      propDefinition: [
        app,
        "stopSequences",
      ],
    },
    frequencyPenalty: {
      propDefinition: [
        app,
        "frequencyPenalty",
      ],
    },
  },
  methods: {
    chat(data) {
      return this.app.client().chat(data);
    },
  },
  async run({ $ }) {
    const {
      chat,
      message,
      model,
      temperature,
      maxTokens,
      k,
      p,
      stopSequences,
      frequencyPenalty,

    } = this;
    const response = await chat(clearObj({
      message,
      model,
      ...(temperature && {
        temperature: parseFloat(temperature),
      }),
      maxTokens,
      k,
      ...(p && {
        p: parseFloat(p),
      }),
      stopSequences,
      ...(frequencyPenalty && {
        frequencyPenalty: parseFloat(frequencyPenalty),
      }),
    }));

    $.export("$summary", `The message was successfully responded with ID \`${response.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.

LabelPropTypeDescription
CohereappappThis component uses the Cohere app.
Messagemessagestring

Text input for the model to respond to. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker, Private Deployments

ModelmodelstringSelect a value from the drop down menu:command-r-pluscommand-rcommandcommand-nightlycommand-lightcommand-light-nightlyembed-english-v3.0embed-english-light-v3.0embed-multilingual-v3.0embed-multilingual-light-v3.0embed-english-v2.0embed-english-light-v2.0embed-multilingual-v2.0rerank-english-v3.0rerank-multilingual-v3.0rerank-english-v2.0rerank-multilingual-v2.0
Temperaturetemperaturestring

Must be between 0 and 1.0 inclusive that tunes the degree of randomness in generation. Lower temperatures mean less random generations, and higher temperatures mean more random generations.
Randomness can be further maximized by increasing the value of the P parameter. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker, Private Deployments See Temperature for more details.

Max TokensmaxTokensinteger

The maximum number of tokens the model will generate as part of the response. Note: Setting a low value may result in incomplete generations. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker, Private Deployments. See BPE Tokens for more details.

Kkinteger

Ensures only the top K most likely tokens are considered for generation at each step. Defaults to 0, min value of 0, max value of 500. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker, Private Deployments

Ppstring

Ensures that only the most likely tokens, with total probability mass of P, are considered for generation at each step. If both K and P are enabled, P acts after K. Defaults to 0.75. min value of 0.01, max value of 0.99. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker, Private Deployments

Stop SequencesstopSequencesstring[]

A list of up to 5 strings that the model will use to stop generation. If the model generates a string that matches any of the strings in the list, it will stop generating tokens and return the generated text up to that point not including the stop sequence. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker, Private Deployments

Frequency PenaltyfrequencyPenaltystring

Defaults to 0.0, min value of 0.0, max value of 1.0. Used to reduce repetitiveness of generated tokens. The higher the value, the stronger a penalty is applied to previously present tokens, proportional to how many times they have already appeared in the prompt or prior generation. Compatible Deployments: Cohere Platform, Azure, AWS Sagemaker, Private Deployments

Action Authentication

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

Generate and copy your API key from your Cohere Platform dashboard.

About Cohere

Making NLP part of every developer's toolkit. Harness the power of language understanding. Join the developers and businesses who are using Cohere to generate, categorize and organize text at a scale that was previously unimaginable.

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