Create Chat with Llama AI API on New Guild Member from Discord Bot API

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Trigger workflow on

New Guild Member from the Discord Bot API

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Create Chat with the Llama AI API

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Getting Started#

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

Select this integration
Configure the New Guild Member trigger
1. Connect your Discord Bot account
2. Select a Guild
3. Configure timer
Configure the Create Chat action
1. Connect your Llama AI account
2. Configure Messages
3. Optional- Configure Functions
4. Optional- Configure Stream
5. Optional- Configure Function Call
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 Guild Member on Discord Bot

Description:Emit new event for every member added to a guild. [See docs here](https://discord.com/developers/docs/resources/guild#list-guild-members)

Version:0.1.4

Key:discord_bot-new-guild-member

View on GitHub

Discord Bot Overview#

The Discord Bot API unlocks the power to interact with Discord users and channels programmatically, making it possible to automate messages, manage servers, and integrate with other services. With Pipedream's serverless platform, you can create complex workflows that respond to events in Discord, process data, and trigger actions in other apps. This opens up opportunities for community engagement, content moderation, analytics, and more, without the overhead of managing infrastructure.

Trigger Code#

import { DEFAULT_POLLING_SOURCE_TIMER_INTERVAL } from "@pipedream/platform";
import common from "../common.mjs";

export default {
  ...common,
  key: "discord_bot-new-guild-member",
  name: "New Guild Member",
  description: "Emit new event for every member added to a guild. [See docs here](https://discord.com/developers/docs/resources/guild#list-guild-members)",
  type: "source",
  dedupe: "unique",
  version: "0.1.4",
  props: {
    ...common.props,
    db: "$.service.db",
    timer: {
      type: "$.interface.timer",
      default: {
        intervalSeconds: DEFAULT_POLLING_SOURCE_TIMER_INTERVAL,
      },
    },
  },
  async run({ $ }) {
    const { guildId } = this;
    const params = {
      limit: 100,
      after: this._getLastMemberID(),
    };

    while (true) {
      const members = await this.discord.getGuildMembers({
        $,
        guildId,
        params,
      });

      if (members.length === 0) {
        return;
      }

      for (const member of members) {
        const {
          user,
          joined_at: joinedAt,
        } = member;

        params.after = user.id;
        if (user.bot) continue;

        this.$emit(member, {
          summary: `New member: ${user.username}`,
          id: user.id,
          ts: Date.parse(joinedAt),
        });
      }

      this._setLastMemberID(params.after);
    }
  },
};

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
Discord Bot	`discord`	`app`	This component uses the Discord Bot app.
Guild	`guildId`	`string`	Select a value from the drop down menu.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

This app allows you to use the Discord API using your own Discord bot. If you don't want to use a custom bot, and you just need to use the Discord API, exit this screen and use the Discord app, instead.

If you want to use your own Discord bot, but haven't created one yet, see these instructions or watch this video. You'll need to add this bot to your server(s) to make successful API requests.

Once you've created your bot, you'll find the Bot token within the Bot section of your app. Enter that token below.

About Discord Bot#

Use this app to interact with the Discord API using a bot in your account

Action#

Create Chat on Llama AI

Description:Creates a new chat. [See the documentation](https://docs.llama-api.com/api-reference/endpoint/create)

Version:0.0.1

Key:llama_ai-create-chat

View on GitHub

Llama AI Overview#

The Llama AI API provides powerful machine learning capabilities, enabling users to harness advanced AI for image recognition, natural language processing, and predictive modeling. By leveraging this API on Pipedream, you can automate complex workflows that require AI-driven insights, enhancing data analysis and decision-making processes across various business applications.

Action Code#

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

export default {
  key: "llama_ai-create-chat",
  name: "Create Chat",
  description: "Creates a new chat. [See the documentation](https://docs.llama-api.com/api-reference/endpoint/create)",
  version: "0.0.1",
  type: "action",
  props: {
    app,
    messages: {
      type: "string[]",
      label: "Messages",
      description: "A collection of messages that form the ongoing conversation. Each message should be a JSON string.",
    },
    functions: {
      type: "string[]",
      label: "Functions",
      description: "A list of functions for which the model can generate JSON inputs. Each function should be a JSON string.",
      optional: true,
    },
    stream: {
      type: "boolean",
      label: "Stream",
      description: "When this option is enabled, the model will send partial message updates, similar to ChatGPT. Tokens will be transmitted as data-only server-sent events as they become available, and the streaming will conclude with a data: [DONE] marker.",
      optional: true,
    },
    functionCall: {
      type: "string",
      label: "Function Call",
      description: "This parameter governs the model's response to function calls. Choosing \"none\" indicates that the model will not invoke any functions and will respond directly to the end-user.",
      optional: true,
    },
  },
  methods: {
    createChat(args = {}) {
      return this.app.post({
        path: "/chat/completions",
        ...args,
      });
    },
  },
  async run({ $ }) {
    const {
      createChat,
      messages,
      functions,
      stream,
      functionCall,
    } = this;

    const response = await createChat({
      $,
      data: {
        messages: utils.parseArray(messages),
        functions: utils.parseArray(functions),
        stream,
        function_call: functionCall,
      },
    });

    $.export("$summary", `Successfully created a new chat with \`${response.choices.length}\` choice(s)`);
    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
Llama AI	`app`	`app`	This component uses the Llama AI app.
Messages	`messages`	`string[]`	A collection of messages that form the ongoing conversation. Each message should be a JSON string.
Functions	`functions`	`string[]`	A list of functions for which the model can generate JSON inputs. Each function should be a JSON string.
Stream	`stream`	`boolean`	When this option is enabled, the model will send partial message updates, similar to ChatGPT. Tokens will be transmitted as data-only server-sent events as they become available, and the streaming will conclude with a data: [DONE] marker.
Function Call	`functionCall`	`string`	This parameter governs the model's response to function calls. Choosing "none" indicates that the model will not invoke any functions and will respond directly to the end-user.

Action Authentication#

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

About Llama AI#

API for Llama and Open-Source Models

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