Chat with Kindo API on New Reaction Added (Instant) from Slack API

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New Reaction Added (Instant) from the Slack API

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Getting Started#

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

Select this integration
Configure the New Reaction Added (Instant) trigger
1. Connect your Slack account
2. Optional- Select one or more Channels
3. Configure slackApphook
4. Optional- Configure Ignore Bots
5. Optional- Select one or more Icon (emoji)
6. Optional- Configure Include User Data
Configure the Chat action
1. Connect your Kindo account
2. Configure Model
3. Configure Messages
4. Optional- Configure Max Tokens
5. Optional- Configure Temperature
6. Optional- Configure Top P
7. Optional- Configure N
8. Optional- Configure Stop
9. Optional- Configure Presence Penalty
10. Optional- Configure Frequency Penalty
11. Optional- Configure Additional Parameters
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 Reaction Added (Instant) on Slack

Description:Emit new event when a member has added an emoji reaction to a message

Version:1.2.0

Key:slack_v2-new-reaction-added

View on GitHub

Slack Overview#

The Pipedream app for Slack enables you to build event-driven workflows that interact with the Slack API. Once you authorize the 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 app for Slack 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_v2-new-reaction-added",
  name: "New Reaction Added (Instant)",
  version: "1.2.0",
  description: "Emit new event when a member has added an emoji reaction to a message",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    conversations: {
      propDefinition: [
        common.props.slack,
        "conversation",
      ],
      type: "string[]",
      label: "Channels",
      description: "Select one or more channels to monitor for new messages.",
      optional: true,
    },
    // eslint-disable-next-line pipedream/props-description,pipedream/props-label
    slackApphook: {
      type: "$.interface.apphook",
      appProp: "slack",
      async eventNames() {
        if (this.conversations?.length) {
          const conversations = [];
          for (const conversation of this.conversations) {
            conversations.push(`reaction_added:${conversation}`);
          }
          return conversations;
        }

        return [
          "reaction_added",
        ];
      },
    },
    ignoreBot: {
      propDefinition: [
        common.props.slack,
        "ignoreBot",
      ],
    },
    iconEmoji: {
      propDefinition: [
        common.props.slack,
        "icon_emoji",
      ],
      description: "Select one or more emojis to use as a filter. E.g. `fire, email`",
      type: "string[]",
      optional: true,
    },
    includeUserData: {
      label: "Include User Data",
      description: "Include user object in the response. Default `false`",
      type: "boolean",
      optional: true,
      default: false,
    },
  },
  methods: {
    ...common.methods,
    getSummary() {
      return "New reaction added";
    },
    async processEvent(event) {
      let iconEmojiParsed = [];

      try {
        iconEmojiParsed = typeof this.iconEmoji === "string" ?
          JSON.parse(this.iconEmoji) :
          this.iconEmoji;
      } catch (error) {
        iconEmojiParsed = this.iconEmoji.replace(/\s+/g, "").split(",");
      }

      if (
        ((this.ignoreBot) && (event.subtype == "bot_message" || event.bot_id)) ||
        (iconEmojiParsed?.length > 0 && !iconEmojiParsed.includes(event.reaction))
      ) {
        return;
      }

      if (this.includeUserData) {
        const promises = [
          this.slack.usersInfo({
            user: event.user,
          }),
        ];
        if (event.item_user) {
          promises.push(this.slack.usersInfo({
            user: event.item_user,
          }));
        }
        const responses = await Promise.all(promises);
        event.userInfo = responses[0].user;
        if (responses[1]) {
          event.itemUserInfo = responses[1].user;
        }
      }

      try {
        event.message = await this.getMessage({
          channel: event.item.channel,
          event_ts: event.item.ts,
        });
      } catch (err) {
        console.log("Error fetching message:", err);
      }

      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.
Channels	`conversations`	`string[]`	Select a value from the drop down menu.
	`slackApphook`	`$.interface.apphook`
Ignore Bots	`ignoreBot`	`boolean`	Ignore messages from bots
Icon (emoji)	`iconEmoji`	`string[]`	Select a value from the drop down menu.
Include User Data	`includeUserData`	`boolean`	Include user object in the response. Default `false`

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:

chat:writechat:write.customizechat:write.publicfiles:read

About Slack#

Slack is the AI-powered platform for work bringing all of your conversations, apps, and customers together in one place. Around the world, Slack is helping businesses of all sizes grow and send productivity through the roof.

Action#

Chat on Kindo

Description:Creates a model response for the given chat conversation using Kindo's API. [See the documentation](https://app.kindo.ai/settings/api) for more information.

Version:0.0.2

Key:kindo-chat

View on GitHub

Action Code#

import app from "../../kindo.app.mjs";
import utils from "../../common/utils.mjs";

export default {
  key: "kindo-chat",
  name: "Chat",
  description: "Creates a model response for the given chat conversation using Kindo's API. [See the documentation](https://app.kindo.ai/settings/api) for more information.",
  version: "0.0.2",
  annotations: {
    destructiveHint: false,
    openWorldHint: true,
    readOnlyHint: false,
  },
  type: "action",
  props: {
    app,
    model: {
      type: "string",
      label: "Model",
      description: "The model name from Kindo's available models",
    },
    messages: {
      type: "string[]",
      label: "Messages",
      description: "A list of messages comprising the conversation so far. Depending on the [model](https://app.kindo.ai/settings/api) you use, different message types (modalities) are supported, like [text](https://platform.openai.com/docs/guides/text-generation), [images](https://platform.openai.com/docs/guides/vision), and [audio](https://platform.openai.com/docs/guides/audio). [See the documentation](https://platform.openai.com/docs/api-reference/chat/create#chat-create-messages) for more information. Eg. `[{\"role\": \"user\", \"content\": \"Hello, world!\"}]",
    },
    maxTokens: {
      type: "integer",
      label: "Max Tokens",
      description: "The maximum number of [tokens](https://beta.openai.com/tokenizer) to generate in the completion.",
      optional: true,
    },
    temperature: {
      type: "string",
      label: "Temperature",
      description: "**Optional**. What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values means the model will take more risks. Try `0.9` for more creative applications, and `0` (argmax sampling) for ones with a well-defined answer.",
      optional: true,
    },
    topP: {
      type: "string",
      label: "Top P",
      description: "An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So `0.1` means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both.",
      optional: true,
    },
    n: {
      type: "integer",
      label: "N",
      description: "How many completions to generate for each prompt",
      optional: true,
    },
    stop: {
      type: "string[]",
      label: "Stop",
      description: "Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.",
      optional: true,
    },
    presencePenalty: {
      type: "string",
      label: "Presence Penalty",
      description: "Number between `-2.0` and `2.0`. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.",
      optional: true,
    },
    frequencyPenalty: {
      type: "string",
      label: "Frequency Penalty",
      description: "Number between `-2.0` and `2.0`. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.",
      optional: true,
    },
    additionalParameters: {
      type: "object",
      label: "Additional Parameters",
      description: "Additional parameters to pass to the API.",
      optional: true,
    },
  },
  methods: {
    chat(args = {}) {
      return this.app.post({
        path: "/chat/completions",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      chat,
      model,
      messages,
      maxTokens,
      temperature,
      topP,
      n,
      stop,
      presencePenalty,
      frequencyPenalty,
      additionalParameters,
    } = this;

    const response = await chat({
      $,
      data: {
        model,
        messages: utils.parseArray(messages),
        max_tokens: maxTokens,
        ...(temperature && {
          temperature: +temperature,
        }),
        ...(topP && {
          top_p: +topP,
        }),
        n,
        stop,
        ...(presencePenalty && {
          presence_penalty: +presencePenalty,
        }),
        ...(frequencyPenalty && {
          frequency_penalty: +frequencyPenalty,
        }),
        ...additionalParameters,
      },
    });
    $.export("$summary", "Successfully created model response");
    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
Kindo	`app`	`app`	This component uses the Kindo app.
Model	`model`	`string`	The model name from Kindo's available models
Messages	`messages`	`string[]`	A list of messages comprising the conversation so far. Depending on the model you use, different message types (modalities) are supported, like text, images, and audio. See the documentation for more information. Eg. `[{"role": "user", "content": "Hello, world!"}]
Max Tokens	`maxTokens`	`integer`	The maximum number of tokens to generate in the completion.
Temperature	`temperature`	`string`	Optional. What sampling temperature to use. Higher values means the model will take more risks. Try `0.9` for more creative applications, and `0` (argmax sampling) for ones with a well-defined answer.
Top P	`topP`	`string`	An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So `0.1` means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both.
N	`n`	`integer`	How many completions to generate for each prompt
Stop	`stop`	`string[]`	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.
Presence Penalty	`presencePenalty`	`string`	Number between `-2.0` and `2.0`. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.
Frequency Penalty	`frequencyPenalty`	`string`	Number between `-2.0` and `2.0`. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
Additional Parameters	`additionalParameters`	`object`	Additional parameters to pass to the API.

Chat with Kindo API on New Reaction Added (Instant) from Slack API

Pipedream makes it easy to connect APIs for Kindo, Slack and 2,900+ other apps remarkably fast.

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

Developers ♥ Pipedream

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