Create Thread (Assistants) with OpenAI (ChatGPT) API on Custom Events (Instant) from Zoom API

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Custom Events (Instant) from the Zoom API

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Create Thread (Assistants) with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Zoom 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 Custom Events (Instant) trigger
1. Connect your Zoom account
2. Select one or more Zoom Events
3. Configure apphook
Configure the Create Thread (Assistants) action
1. Connect your OpenAI (ChatGPT) account
2. Optional- Configure Messages
3. Optional- Configure Metadata
4. Optional- Configure Run Thread
5. Optional- Select one or more Tool Types
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#

Custom Events (Instant) on Zoom

Description:Emit new events tied to your Zoom user or resources you own

Version:0.1.3

Key:zoom-custom-event

View on GitHub

Zoom Overview#

The Zoom API lets you tap into a rich set of functionalities to enhance the video conferencing experience within your own app or workflow. With the Zoom API on Pipedream, you can automatically create meetings, manage users, send meeting notifications, and more, orchestrating these actions within a broader automation. This allows for seamless integration with other services, enabling both data collection and action triggers based on Zoom events.

Pipedream workflows allow you to run any Node.js code that connects to the Zoom API. Just create a new workflow, then add prebuilt Zoom actions (create a meeting, send a chat message, etc.) or write your own code. These workflows can be triggered by HTTP requests, timers, email, or on any app-based event (new tweets, a Github PR, Zoom events, etc).

Trigger Code#

import common from "../common/common.mjs";
import constants from "../common/constants.mjs";

export default {
  ...common,
  key: "zoom-custom-event",
  name: "Custom Events (Instant)",
  description: "Emit new events tied to your Zoom user or resources you own",
  version: "0.1.3",
  type: "source",
  dedupe: "unique",
  props: {
    ...common.props,
    eventNameOptions: {
      type: "string[]",
      label: "Zoom Events",
      description: "Select the events you want to listen for",
      options: Object.values(constants.CUSTOM_EVENT_TYPES),
    },
    // eslint-disable-next-line pipedream/props-label, pipedream/props-description
    apphook: {
      type: "$.interface.apphook",
      appProp: "app",
      eventNames() {
        return this.eventNameOptions;
      },
    },
  },
  async run(event) {
    this.$emit(event, {
      id: event.payload?.object?.id,
      summary: event.event,
      ts: Date.now(),
    });
  },
};

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
Zoom	`app`	`app`	This component uses the Zoom app.
Zoom Events	`eventNameOptions`	`string[]`	Select a value from the drop down menu:`meeting.alertmeeting.created.by_memeeting.created.for_memeeting.updatedmeeting.deleted.by_memeeting.deleted.for_memeeting.startedmeeting.endedmeeting.registration_createdmeeting.registration_approvedmeeting.registration_cancelledmeeting.registration_deniedmeeting.sharing_started.hostmeeting.sharing_started.participantmeeting.sharing_ended.hostmeeting.sharing_ended.participantmeeting.participant_jbh_joinedmeeting.participant_jbh_waitingmeeting.participant_joinedmeeting.participant_leftmeeting.participant_joined_waiting_roommeeting.participant_admittedmeeting.participant_put_in_waiting_roommeeting.participant_left_waiting_roomrecording.startedrecording.pausedrecording.resumedrecording.stoppedrecording.completedrecording.trashed.by_merecording.trashed.for_merecording.deleted.by_merecording.deleted.for_merecording.recovered.by_merecording.recovered.for_merecording.transcript_completedrecording.registration_createdrecording.registration_approvedrecording.registration_denieduser.updateduser.settings_updateduser.signed_inuser.signed_outwebinar.created.by_mewebinar.created.for_mewebinar.updatedwebinar.startedwebinar.endedwebinar.alertwebinar.sharing_started.hostwebinar.sharing_started.participantwebinar.sharing_endedwebinar.registration_createdwebinar.registration_approvedwebinar.registration_deniedwebinar.registration_cancelledwebinar.participant_joinedwebinar.participant_leftwebinar.deleted.by_mewebinar.deleted.for_me`
	`apphook`	`$.interface.apphook`

Trigger Authentication#

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

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

About Zoom#

Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars.

Action#

Create Thread (Assistants) on OpenAI (ChatGPT)

Description:Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)

Version:0.0.11

Key:openai-create-thread

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 openai from "../../openai.app.mjs";
import common from "../common/common-assistants.mjs";
import constants from "../../common/constants.mjs";

export default {
  key: "openai-create-thread",
  name: "Create Thread (Assistants)",
  description: "Creates a thread with optional messages and metadata, and optionally runs the thread using the specified assistant. [See the documentation](https://platform.openai.com/docs/api-reference/threads/createThread)",
  version: "0.0.11",
  type: "action",
  props: {
    openai,
    messages: {
      propDefinition: [
        openai,
        "messages",
      ],
      optional: true,
    },
    metadata: {
      propDefinition: [
        openai,
        "metadata",
      ],
      optional: true,
    },
    runThread: {
      type: "boolean",
      label: "Run Thread",
      description: "Set to `true` to run the thread after creation",
      optional: true,
      reloadProps: true,
    },
    toolTypes: {
      type: "string[]",
      label: "Tool Types",
      description: "The types of tools to enable on the assistant",
      options: constants.TOOL_TYPES.filter((type) => type !== "function"),
      optional: true,
      reloadProps: true,
    },
  },
  async additionalProps() {
    const props = {};
    if (this.runThread) {
      props.assistantId = {
        type: "string",
        label: "Assistant ID",
        description: "The unique identifier for the assistant.",
        options: async () => { return this.getAssistantPropOptions(); },
      };
      props.model = {
        type: "string",
        label: "Model",
        description: "The ID of the model to use for the assistant",
        options: async () => { return this.getAssistantModelPropOptions(); },
      };
      props.instructions = {
        type: "string",
        label: "Instructions",
        description: "The system instructions that the assistant uses.",
        optional: true,
      };
      props.waitForCompletion = {
        type: "boolean",
        label: "Wait For Completion",
        description: "Set to `true` to poll the API in 3-second intervals until the run is completed",
        optional: true,
      };
    }
    const toolProps = this.toolTypes?.length
      ? await this.getToolProps()
      : {};
    return {
      ...props,
      ...toolProps,
    };
  },
  methods: {
    ...common.methods,
    async getAssistantPropOptions() {
      const { data } = await this.openai.listAssistants();
      return data.map(({
        name, id,
      }) => ({
        label: name || id,
        value: id,
      }));
    },
    async getAssistantModelPropOptions() {
      const models = (await this.openai.models({})).filter(({ id }) => (id.includes("gpt-3.5-turbo") || id.includes("gpt-4-turbo")) && (id !== "gpt-3.5-turbo-0301"));
      return models.map(({ id }) => id);
    },
  },
  async run({ $ }) {
    const messages = this.messages?.length
      ? this.messages.map((message) => ({
        role: "user",
        content: message,
      }))
      : undefined;
    let response = !this.runThread
      ? await this.openai.createThread({
        $,
        data: {
          messages,
          metadata: this.metadata,
          tool_resources: this.buildToolResources(),
        },
      })
      : await this.openai.createThreadAndRun({
        $,
        data: {
          assistant_id: this.assistantId,
          thread: {
            messages,
            metadata: this.metadata,
          },
          model: this.model,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
          metadata: this.metadata,
        },
      });

    if (this.waitForCompletion) {
      const runId = response.id;
      const threadId = response.thread_id;
      response = await this.pollRunUntilCompleted(response, threadId, runId, $);
    }

    $.export("$summary", `Successfully created a thread ${this.runThread
      ? "and run"
      : ""} with ID: ${response.id}`);
    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.
Messages	`messages`	`string[]`	An array of messages to start the thread with.
Metadata	`metadata`	`object`	Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.
Run Thread	`runThread`	`boolean`	Set to `true` to run the thread after creation
Tool Types	`toolTypes`	`string[]`	Select a value from the drop down menu:`code_interpreterfile_search`

Create Thread (Assistants) with OpenAI (ChatGPT) API on Custom Events (Instant) from Zoom API

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