← Slack + Vext integrations

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.

  1. Select this integration
  2. 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
  3. Configure the Send Query action
    1. Connect your Vext account
    2. Configure Payload
    3. Configure Long Polling
    4. Optional- Configure Request ID
  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 when a message was posted in a direct message channel
Version:1.0.20
Key:slack-new-direct-message

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.
LabelPropTypeDescription
SlackslackappThis component uses the Slack app.
N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
slackApphook$.interface.apphook
Ignore BotsignoreBotboolean

Ignore messages from bots

Ignore Messages from YourselfignoreSelfboolean

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:

channels:historychannels:readchannels:writeemoji:readgroups:historygroups:readgroups:writeim:historyim:readim:writelinks:readlinks:writempim:historympim:readmpim:writereactions:readreactions:writereminders:readreminders:writestars:readteam:readusergroups:readusergroups:writeusers:readusers:read.emailusers:writechat:write:botchat:write:userfiles:write:usercommandsusers.profile:writeusers.profile: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

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

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.

LabelPropTypeDescription
VextappappThis component uses the Vext app.
Payloadpayloadstring

This is the input that you'll be sending to your LLM pipeline

Long PollinglongPollingboolean

If your pipeline includes several models and you're facing timeout issues, enabling this option will generate a 'request_id' for you

Request IDrequestIdstring

Include the long_polling request ID in the body to receive updates until the final result is delivered

Action Authentication

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

About Vext

Vext is an out-of-the-box RAG & LLM platform that fast-tracks custom AI development with your data.

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