Create Prediction with Replicate API on New Events (Instant) from Twilio SendGrid API

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New Events (Instant) from the Twilio SendGrid API

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Create Prediction with the Replicate API

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Getting Started#

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

Select this integration
Configure the New Events (Instant) trigger
1. Connect your Twilio SendGrid account
2. Select one or more Event Types
Configure the Create Prediction action
1. Connect your Replicate account
2. Select a Collection Id
3. Select a Model Id
4. Select a Model Version
5. Configure Input
6. Optional- Configure Webhook
7. Optional- Select one or more Webhook Events Filter
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 Events (Instant) on Twilio SendGrid

Description:Emit new event when any of the specified SendGrid events is received

Version:0.0.5

Key:sendgrid-events

View on GitHub

Twilio SendGrid Overview#

The Twilio SendGrid API opens up a world of possibilities for email automation, enabling you to send emails efficiently and track their performance. With this API, you can programmatically create and send personalized email campaigns, manage contacts, and parse inbound emails for data extraction. When you harness the power of Pipedream, you can connect SendGrid to hundreds of other apps to automate workflows, such as triggering email notifications based on specific actions, syncing email stats with your analytics, or handling incoming emails to create tasks or tickets.

Trigger Code#

import common from "../common/http-based.mjs";
import deliveryEventTypes from "./delivery-event-types.mjs";
import engagementEventTypes from "./engagement-event-types.mjs";

export default {
  ...common,
  key: "sendgrid-events",
  name: "New Events (Instant)",
  description: "Emit new event when any of the specified SendGrid events is received",
  version: "0.0.5",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    eventTypes: {
      type: "string[]",
      label: "Event Types",
      description: "The type of events to listen to",
      options(context) {
        const { page } = context;
        if (page !== 0) {
          return {
            options: [],
          };
        }

        const options = [
          ...deliveryEventTypes,
          ...engagementEventTypes,
        ];
        return {
          options,
        };
      },
    },
  },
  methods: {
    ...common.methods,
    baseWebhookSettings() {
      // The list of events that a webhook can listen to. This method returns an
      // exhaustive list of all such flags disabled, and each event source can
      // then override the flags that are relevant to the event they handle.
      //
      // See the docs for more information:
      // https://sendgrid.com/docs/api-reference/
      const eventTypesData = [
        ...deliveryEventTypes,
        ...engagementEventTypes,
      ];
      return eventTypesData.reduce((accum, eventTypeData) => ({
        ...accum,
        [eventTypeData.value]: false,
      }), {});
    },
    webhookEventFlags() {
      return this.eventTypes.reduce((accum, eventType) => ({
        ...accum,
        [eventType]: true,
      }), {});
    },
    generateMeta(data) {
      const {
        event: eventType,
        sg_event_id: id,
        timestamp: ts,
      } = data;
      const summary = `New event: ${eventType}`;
      return {
        id,
        summary,
        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
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
Twilio SendGrid	`sendgrid`	`app`	This component uses the Twilio SendGrid 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.
Event Types	`eventTypes`	`string[]`	Select a value from the drop down menu.

Trigger Authentication#

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

About Twilio SendGrid#

Send marketing and transactional email through the Twilio SendGrid platform with the Email API, proprietary mail transfer agent, and infrastructure for scalable delivery.

Action#

Create Prediction on Replicate

Description:Create a new prediction [See the documentation](https://replicate.com/docs/reference/http#predictions.create)

Version:0.0.1

Key:replicate-create-prediction

View on GitHub

Replicate Overview#

The Replicate API allows you to access a wide array of machine learning models for tasks such as image generation, text-to-image, and more. Using Pipedream, you can orchestrate these models to automate content creation, analyze media, or enhance data with AI-generated insights. Pipedream's serverless platform empowers you to create workflows that react to events, schedule tasks, and integrate with numerous other services, all harnessing the power of Replicate's AI models.

Action Code#

import replicate from "../../replicate.app.mjs";

export default {
  key: "replicate-create-prediction",
  name: "Create Prediction",
  version: "0.0.1",
  description: "Create a new prediction [See the documentation](https://replicate.com/docs/reference/http#predictions.create)",
  type: "action",
  props: {
    replicate,
    collectionSlug: {
      propDefinition: [
        replicate,
        "collectionSlug",
      ],
    },
    modelId: {
      propDefinition: [
        replicate,
        "modelId",
        ({ collectionSlug }) => ({
          collectionSlug,
        }),
      ],
    },
    version: {
      propDefinition: [
        replicate,
        "modelVersion",
        ({ modelId }) => ({
          modelId,
        }),
      ],
    },
    input: {
      type: "string",
      label: "Input",
      description: "The model's input as a JSON object. The input depends on what model you are running. To see the available inputs, click the \"Run with API\" tab on the model you are running. For example, stability-ai/stable-diffusion takes prompt as an input.",
    },
    webhook: {
      type: "string",
      label: "Webhook",
      description: "An HTTPS URL for receiving a webhook when the prediction has new output.",
      optional: true,
    },
    webhookEventsFilter: {
      type: "string[]",
      label: "Webhook Events Filter",
      description: "By default, we will send requests to your webhook URL whenever there are new logs, new outputs, or the prediction has finished. [See de documentartion here](https://replicate.com/docs/reference/http#predictions.create--webhook_events_filter) for more details.",
      options: [
        "start",
        "output",
        "logs",
        "completed",
      ],
      optional: true,
    },
  },
  async run({ $ }) {
    const {
      replicate,
      version,
      input,
      webhook,
      webhookEventsFilter,
    } = this;

    const response = await replicate.createPrediction({
      $,
      data: {
        version,
        input: JSON.parse(input),
        webhook,
        webhook_events_filter: webhookEventsFilter,
      },
    });

    $.export("$summary", `A new prediction with Id: ${response.id} was successfully created!`);
    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
Replicate	`replicate`	`app`	This component uses the Replicate app.
Collection Id	`collectionSlug`	`string`	Select a value from the drop down menu.
Model Id	`modelId`	`string`	Select a value from the drop down menu.
Model Version	`version`	`string`	Select a value from the drop down menu.
Input	`input`	`string`	The model's input as a JSON object. The input depends on what model you are running. To see the available inputs, click the "Run with API" tab on the model you are running. For example, stability-ai/stable-diffusion takes prompt as an input.
Webhook	`webhook`	`string`	An HTTPS URL for receiving a webhook when the prediction has new output.
Webhook Events Filter	`webhookEventsFilter`	`string[]`	Select a value from the drop down menu:`startoutputlogscompleted`