Create Thread (Assistants) with OpenAI (ChatGPT) API on New Timesheet Saved (Instant) from Deputy API

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New Timesheet Saved (Instant) from the Deputy 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 Deputy 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 Timesheet Saved (Instant) trigger
1. Connect your Deputy account
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#

New Timesheet Saved (Instant) on Deputy

Description:Emit new event when a new timesheet has been saved

Version:0.0.1

Key:deputy-new-timesheet-saved

View on GitHub

Deputy Overview#

Deputy is a robust workforce management tool, catering to scheduling, timesheet tracking, and other employee coordination tasks. Leveraging the Deputy API on Pipedream allows you to automate mundane tasks, sync data across platforms, and create custom notifications based on employee actions. You could build workflows to manage shifts, sync employee details with HR systems, or trigger payroll processes, harnessing Pipedream's capability to integrate with various services without the need for manual coding.

Trigger Code#

import common from "../common/base.mjs";
import sampleEmit from "./test-event.mjs";

export default {
  ...common,
  key: "deputy-new-timesheet-saved",
  name: "New Timesheet Saved (Instant)",
  description: "Emit new event when a new timesheet has been saved",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getTopic() {
      return "Timesheet.Save";
    },
    generateMeta(timesheet) {
      return {
        id: timesheet.Id,
        summary: `New Timesheet: ${timesheet.Id}`,
        ts: Date.parse(timesheet.Created),
      };
    },
  },
  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
Deputy	`deputy`	`app`	This component uses the Deputy 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.

Trigger Authentication#

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

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

longlife_refresh_token

About Deputy#

Employee scheduling, timesheets, tasking and communication platform

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 New Timesheet Saved (Instant) from Deputy API

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