Send Query with Vext API on New Direct Message (Instant) from Slack API

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New Direct Message (Instant) from the Slack API

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Send Query with the Vext API

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Getting Started#

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

Select this integration
Configure the New Direct Message (Instant) trigger
1. Connect your Slack account
2. Configure slackApphook
3. Optional- Configure Ignore Bots
4. Optional- Configure Ignore Messages from Yourself
Configure the Send Query action
1. Connect your Vext account
2. Configure Payload
3. Configure Long Polling
4. Optional- Configure Request ID
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 Direct Message (Instant) on Slack

Description:Emit new event when a message was posted in a direct message channel

Version:1.0.20

Key:slack-new-direct-message

View on GitHub

Slack Overview#

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. Once you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

Automate posting updates to your team channels
Create a bot to answer common questions
Integrate with your existing tools and services
And much more!

Trigger Code#

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

export default {
  ...common,
  key: "slack-new-direct-message",
  name: "New Direct Message (Instant)",
  version: "1.0.20",
  description: "Emit new event when a message was posted in a direct message channel",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        return [
          "message.im",
        ];
      },
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    ignoreSelf: {
      type: "boolean",
      label: "Ignore Messages from Yourself",
      description: "Ignores messages sent to yourself",
      default: false,
      optional: true,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New direct message received";
    },
    processEvent(event) {
      if ((this.ignoreSelf && event.user == this.slack.mySlackId())
        || ((this.ignoreBot) && (event.subtype === "bot_message" || event.bot_id))
        || (event.subtype === "message_changed")) {
        return;
      }
      return event;
    },
  },
  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.

Label	Prop	Type	Description
Slack	`slack`	`app`	This component uses the Slack app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`slackApphook`	`$.interface.apphook`
Ignore Bots	`ignoreBot`	`boolean`	Ignore messages from bots
Ignore Messages from Yourself	`ignoreSelf`	`boolean`	Ignores messages sent to yourself

Trigger Authentication#

Slack uses OAuth authentication. When you connect your Slack account, Pipedream will open a popup window where you can sign into Slack and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any Slack API.

Pipedream requests the following authorization scopes when you connect your account:

bookmarks:writecalls:readcalls:writechannels:historychannels:readchannels:writednd:readdnd:writeemoji:readfiles:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writepins:readpins:writereactions:readreactions:writereminders:readreminders:writeremote_files:readremote_files:sharestars:readstars:writeteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:usercommandsfiles:write:userusers.profile:writeusers.profile:readsearch:read

About Slack#

Slack is a channel-based messaging platform. With Slack, people can work together more effectively, connect all their software tools and services, and find the information they need to do their best work — all within a secure, enterprise-grade environment.

Action#

Send Query on Vext

Description:Send a query request to your LLM pipeline. [See the documentation](https://vext.readme.io/reference/http-request-query)

Version:0.0.1

Key:vext-send-query

View on GitHub

Vext Overview#

The Vext API lets you automate interactions with the Vext application, which is designed for versatile text transformations, parsing, and encoding. On Pipedream, you can craft serverless workflows that utilize Vext API to process and manipulate text data on-the-fly, without the need for manual intervention. Imagine automating complex text parsing tasks, encoding/decoding data in various formats, or even integrating with other services to enhance data processing pipelines.

Action Code#

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

export default {
  key: "vext-send-query",
  name: "Send Query",
  description: "Send a query request to your LLM pipeline. [See the documentation](https://vext.readme.io/reference/http-request-query)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    payload: {
      propDefinition: [
        app,
        "payload",
      ],
    },
    longPolling: {
      propDefinition: [
        app,
        "longPolling",
      ],
    },
    requestId: {
      propDefinition: [
        app,
        "requestId",
      ],
    },
  },
  async run({ $ }) {
    const response = await this.app.sendQuery({
      $,
      data: {
        payload: this.payload,
        long_polling: this.longPolling,
        request_id: this.requestId,
      },
    });

    $.export("$summary", `Query with ID '${response.request_id || response.text.request_id}' successfully sent`);

    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
Vext	`app`	`app`	This component uses the Vext app.
Payload	`payload`	`string`	This is the input that you'll be sending to your LLM pipeline
Long Polling	`longPolling`	`boolean`	If your pipeline includes several models and you're facing timeout issues, enabling this option will generate a 'request_id' for you
Request ID	`requestId`	`string`	Include the long_polling request ID in the body to receive updates until the final result is delivered

Send Query with Vext API on New Direct Message (Instant) from Slack API

Pipedream makes it easy to connect APIs for Vext, Slack and 2,400+ other apps remarkably fast.

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

Developers ♥ Pipedream

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