Create Embeddings with OpenAI (ChatGPT) API on New Message Sent in Channel (Instant) from Mattermost API

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New Message Sent in Channel (Instant) from the Mattermost API

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Create Embeddings with the OpenAI (ChatGPT) API

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Getting Started#

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

Select this integration
Configure the New Message Sent in Channel (Instant) trigger
1. Connect your Mattermost account
2. Select a Team
3. Select a Channel
4. Optional- Configure Display Name
5. Configure Trigger Words
6. Optional- Select a Trigger When
Configure the Create Embeddings action
1. Connect your OpenAI (ChatGPT) account
2. Select a Model
3. Configure Input
4. Optional- Configure User
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 Message Sent in Channel (Instant) on Mattermost

Description:Emit new event when a message matching the requirements is sent in a channel. [See the documentation](https://api.mattermost.com/#tag/webhooks/operation/CreateOutgoingWebhook)

Version:0.0.2

Key:mattermost-new-message-sent-in-channel

View on GitHub

Mattermost Overview#

Mattermost is an open-source platform for secure collaboration across the entire software development lifecycle. With the Mattermost API on Pipedream, you can automate common chat operations, integrate with DevOps tools for real-time alerts, orchestrate workflows based on chat events, and connect with other services to enhance team productivity. For instance, you could trigger actions on issue tracking platforms when discussing bugs or link project management tools to update task statuses directly from your Mattermost channels.

Trigger Code#

import mattermost from "../../app/mattermost.app.mjs";
import { defineSource, } from "@pipedream/types";
export default defineSource({
    name: "New Message Sent in Channel (Instant)",
    description: "Emit new event when a message matching the requirements is sent in a channel. [See the documentation](https://api.mattermost.com/#tag/webhooks/operation/CreateOutgoingWebhook)",
    key: "mattermost-new-message-sent-in-channel",
    version: "0.0.2",
    type: "source",
    dedupe: "unique",
    props: {
        mattermost,
        db: "$.service.db",
        http: "$.interface.http",
        teamId: {
            propDefinition: [
                mattermost,
                "teamId",
            ],
        },
        channelId: {
            propDefinition: [
                mattermost,
                "publicChannelId",
                ({ teamId }) => ({
                    teamId,
                }),
            ],
        },
        displayName: {
            type: "string",
            label: "Display Name",
            description: "The display name of the webhook in Mattermost",
            optional: true,
            default: "Pipedream source",
        },
        triggerWords: {
            type: "string[]",
            label: "Trigger Words",
            description: "List of words that will trigger an event",
        },
        triggerWhen: {
            type: "integer",
            label: "Trigger When",
            description: "When to trigger an event",
            optional: true,
            options: [
                {
                    label: "When a trigger word is present in the message",
                    value: 0,
                },
                {
                    label: "If the message starts with a trigger word",
                    value: 1,
                },
            ],
        },
    },
    methods: {
        _getWebhookId() {
            return this.db.get("webhookId");
        },
        _setWebhookId(value) {
            this.db.set("webhookId", value);
        },
    },
    hooks: {
        async activate() {
            const data = {
                team_id: this.teamId,
                channel_id: this.channelId,
                display_name: this.displayName,
                description: `Pipedream - New Message Sent in Channel ${this.channelId}`,
                trigger_words: this.triggerWords,
                trigger_when: this.triggerWhen,
                callback_urls: [
                    this.http.endpoint,
                ],
                content_type: "application/json",
            };
            const { id } = await this.mattermost.createWebhook(data);
            this._setWebhookId(id);
        },
        async deactivate() {
            const id = this._getWebhookId();
            await this.mattermost.deleteWebhook(id);
        },
    },
    async run({ body }) {
        if (body) {
            const ts = Date.now();
            this.$emit(body, {
                id: typeof body.id === "string"
                    ? body.id
                    : ts,
                summary: "New message",
                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
Mattermost	`mattermost`	`app`	This component uses the Mattermost app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
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.
Team	`teamId`	`string`	Select a value from the drop down menu.
Channel	`channelId`	`string`	Select a value from the drop down menu.
Display Name	`displayName`	`string`	The display name of the webhook in Mattermost
Trigger Words	`triggerWords`	`string[]`	List of words that will trigger an event
Trigger When	`triggerWhen`	`integer`	Select a value from the drop down menu:`{ "label": "When a trigger word is present in the message", "value": 0 }{ "label": "If the message starts with a trigger word", "value": 1 }`

Trigger Authentication#

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

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

About Mattermost#

Open-source, self-hostable online chat service

Action#

Create Embeddings on OpenAI (ChatGPT)

Description:Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)

Version:0.0.14

Key:openai-create-embeddings

View on GitHub

OpenAI (ChatGPT) Overview#

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Action Code#

import { ConfigurationError } from "@pipedream/platform";
import openai from "../../openai.app.mjs";
import common from "../common/common.mjs";

export default {
  name: "Create Embeddings",
  version: "0.0.14",
  key: "openai-create-embeddings",
  description: "Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. [See the documentation](https://platform.openai.com/docs/api-reference/embeddings)",
  type: "action",
  props: {
    openai,
    modelId: {
      propDefinition: [
        openai,
        "embeddingsModelId",
      ],
    },
    input: {
      label: "Input",
      description: "Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.",
      type: "string[]",
    },
    user: common.props.user,
  },
  async run({ $ }) {
    // Confirm no element is more than 8192 tokens in length
    for (const [
      i,
      element,
    ] of this.input.entries()) {
      if (element.length > 8192) {
        throw new ConfigurationError(`Element #${i} is more than 8192 tokens in length. Each input must not exceed 8192 tokens in length.`);
      }
    }

    const response = await this.openai.createEmbeddings({
      $,
      data: {
        model: this.modelId,
        input: this.input,
      },
    });

    if (response) {
      $.export("$summary", "Successfully created embeddings");
    }

    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
OpenAI (ChatGPT)	`openai`	`app`	This component uses the OpenAI (ChatGPT) app.
Model	`modelId`	`string`	Select a value from the drop down menu.
Input	`input`	`string[]`	Input text to get embeddings for, encoded as a string or array of tokens. To get embeddings for multiple inputs in a single request, pass an array of strings or array of token arrays. Each input must not exceed 8192 tokens in length.
User	`user`	`string`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more here.

Action Authentication#

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

About OpenAI (ChatGPT)#

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

More Ways to Connect OpenAI (ChatGPT) + Mattermost#

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Create Embeddings with OpenAI (ChatGPT) API on New Message Sent in Channel (Instant) from Mattermost API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Mattermost 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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