Chat with Assistant with OpenAI (ChatGPT) API on New Post Created (Instant) from Deputy API

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New Post Created (Instant) from the Deputy API

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Chat with Assistant 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 Post Created (Instant) trigger
1. Connect your Deputy account
Configure the Chat with Assistant action
1. Connect your OpenAI (ChatGPT) account
2. Configure Message
3. Optional- Select a Assistant
4. Optional- Configure Name
5. Optional- Configure Instructions
6. Optional- Select a Model
7. Optional- Configure Thread ID
8. 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 Post Created (Instant) on Deputy

Description:Emit new event when a new newsfeed post arrives

Version:0.0.1

Key:deputy-new-post-created

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-post-created",
  name: "New Post Created (Instant)",
  description: "Emit new event when a new newsfeed post arrives",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getTopic() {
      return "Memo.Insert";
    },
    generateMeta(post) {
      return {
        id: post.Id,
        summary: `New Post: ${post.Id}`,
        ts: Date.parse(post.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#

Chat with Assistant on OpenAI (ChatGPT)

Description:Sends a message and generates a response, storing the message history for a continuous conversation. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)

Version:0.0.7

Key:openai-chat-with-assistant

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";

export default {
  ...common,
  key: "openai-chat-with-assistant",
  name: "Chat with Assistant",
  description: "Sends a message and generates a response, storing the message history for a continuous conversation. [See the documentation](https://platform.openai.com/docs/api-reference/runs/createThreadAndRun)",
  version: "0.0.7",
  type: "action",
  props: {
    openai,
    message: {
      type: "string",
      label: "Message",
      description: "The message to send",
    },
    assistantId: {
      propDefinition: [
        openai,
        "assistant",
      ],
      description: "The assistant to use. Leave blank to create a new assistant",
      optional: true,
    },
    name: {
      propDefinition: [
        openai,
        "name",
      ],
    },
    instructions: {
      propDefinition: [
        openai,
        "instructions",
      ],
    },
    model: {
      propDefinition: [
        openai,
        "assistantModel",
      ],
      optional: true,
      default: "gpt-3.5-turbo",
    },
    threadId: {
      propDefinition: [
        openai,
        "threadId",
      ],
      description: "The unique identifier for the thread. Example: `thread_abc123`. Leave blank to create a new thread. To locate the thread ID, make sure your OpenAI Threads setting (Settings -> Organization/Personal -> General -> Features and capabilities -> Threads) is set to \"Visible to organization owners\" or \"Visible to everyone\". You can then access the list of threads and click on individual threads to reveal their IDs",
      optional: true,
    },
    ...common.props,
  },
  async run({ $ }) {
    // create assistant if not provided
    let assistantId = this.assistantId;
    if (!assistantId) {
      const { id: newAssistantId } = await this.openai.createAssistant({
        $,
        data: {
          model: this.model,
          name: this.name,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
        },
      });
      assistantId = newAssistantId;
    }

    // create and run thread if no thread is provided
    let threadId = this.threadId;
    let run;
    if (!threadId) {
      run = await this.openai.createThreadAndRun({
        $,
        data: {
          assistant_id: assistantId,
          thread: {
            messages: [
              {
                role: "user",
                content: this.message,
              },
            ],
          },
          model: this.model,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
        },
      });
      threadId = run.thread_id;
    } else {
      // create run for thread if threadId is provided
      run = await this.openai.createRun({
        $,
        threadId: this.threadId,
        data: {
          assistant_id: assistantId,
          model: this.model,
          instructions: this.instructions,
          tools: this.buildTools(),
          tool_resources: this.buildToolResources(),
          additional_messages: [
            {
              role: "user",
              content: this.message,
            },
          ],
        },
      });
    }
    const runId = run.id;

    run = await this.pollRunUntilCompleted(run, threadId, runId, $);

    // get response;
    const { data: messages } = await this.openai.listMessages({
      $,
      threadId,
      params: {
        order: "desc",
      },
    });
    const response = messages[0].content[0].text.value;
    return {
      response,
      messages,
      run,
    };
  },
};

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.
Message	`message`	`string`	The message to send
Assistant	`assistantId`	`string`	Select a value from the drop down menu.
Name	`name`	`string`	The name of the assistant.
Instructions	`instructions`	`string`	The system instructions that the assistant uses.
Model	`model`	`string`	Select a value from the drop down menu.
Thread ID	`threadId`	`string`	The unique identifier for the thread. Example: `thread_abc123`. Leave blank to create a new thread. To locate the thread ID, make sure your OpenAI Threads setting (Settings -> Organization/Personal -> General -> Features and capabilities -> Threads) is set to "Visible to organization owners" or "Visible to everyone". You can then access the list of threads and click on individual threads to reveal their IDs
Tool Types	`toolTypes`	`string[]`	Select a value from the drop down menu:`code_interpreterfile_searchfunction`

Chat with Assistant with OpenAI (ChatGPT) API on New Post Created (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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