Create Fine Tuning Job with OpenAI (ChatGPT) API on New Expense from Zoho Books API

Pipedream makes it easy to connect APIs for OpenAI (ChatGPT), Zoho Books and 2,400+ other apps remarkably fast.

Trigger workflow on

New Expense from the Zoho Books API

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Create Fine Tuning Job with the OpenAI (ChatGPT) API

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Getting Started#

This integration creates a workflow with a Zoho Books 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 Expense trigger
1. Connect your Zoho Books account
2. Configure timer
Configure the Create Fine Tuning Job action
1. Connect your OpenAI (ChatGPT) account
2. Select a Fine Tuning Model
3. Select a Training File
4. Optional- Configure Hyperparameters
5. Optional- Configure Suffix
6. Optional- Select a Validation File
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 Expense on Zoho Books

Description:Emit new event when a new expense is created.

Version:0.0.1

Key:zoho_books-new-expense

View on GitHub

Zoho Books Overview#

Zoho Books API unlocks the potential to automate and streamline accounting tasks by integrating with Pipedream's serverless platform. With this powerful combo, you can automate invoicing, manage your accounts, reconcile bank transactions, and handle contacts and items without manual input. By setting up event-driven workflows, you can ensure data consistency across platforms, trigger notifications, and generate reports, all while saving time and reducing human error.

Trigger Code#

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

export default {
  ...common,
  key: "zoho_books-new-expense",
  name: "New Expense",
  description: "Emit new event when a new expense is created.",
  version: "0.0.1",
  type: "source",
  dedupe: "unique",
  methods: {
    ...common.methods,
    getFunction() {
      return this.zohoBooks.listExpenses;
    },
    getFieldName() {
      return "expenses";
    },
    getFieldId() {
      return "expense_id";
    },
    getSummary(item) {
      return `New Expense: ${item.expense_id}`;
    },
  },
  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
Zoho Books	`zohoBooks`	`app`	This component uses the Zoho Books app.
N/A	`db`	`$.service.db`	This component uses `$.service.db` to maintain state between executions.
	`timer`	`$.interface.timer`

Trigger Authentication#

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

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

ZohoBooks.fullaccess.all

About Zoho Books#

Online accounting software

Action#

Create Fine Tuning Job on OpenAI (ChatGPT)

Description:Creates a job that fine-tunes a specified model from a given dataset. [See the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create)

Version:0.0.10

Key:openai-create-fine-tuning-job

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";

export default {
  key: "openai-create-fine-tuning-job",
  name: "Create Fine Tuning Job",
  description: "Creates a job that fine-tunes a specified model from a given dataset. [See the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create)",
  version: "0.0.10",
  type: "action",
  props: {
    openai,
    model: {
      propDefinition: [
        openai,
        "fineTuningModel",
      ],
    },
    trainingFile: {
      propDefinition: [
        openai,
        "fileId",
        () => ({
          purpose: "fine-tune",
        }),
      ],
      label: "Training File",
      description: "The ID of an uploaded file that contains training data. You can use the **Upload File** action and reference the returned ID here.",
    },
    hyperParameters: {
      type: "object",
      label: "Hyperparameters",
      description: "The hyperparameters used for the fine-tuning job. [See details in the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create#fine-tuning-create-hyperparameters).",
      optional: true,
    },
    suffix: {
      type: "string",
      label: "Suffix",
      description: "A string of up to 18 characters that will be added to your fine-tuned model name.",
      optional: true,
    },
    validationFile: {
      propDefinition: [
        openai,
        "fileId",
        () => ({
          purpose: "fine-tune",
        }),
      ],
      label: "Validation File",
      description: "The ID of an uploaded file that contains validation data. [See details in the documentation](https://platform.openai.com/docs/api-reference/fine-tuning/create#fine-tuning-create-validation_file).",
      optional: true,
    },
  },
  async run({ $ }) {
    const response = await this.openai.createFineTuningJob({
      $,
      data: {
        model: this.model,
        training_file: this.trainingFile,
        hyperparameters: this.hyperParameters,
        suffix: this.suffix,
        validation_file: this.validationFile,
      },
    });

    $.export("$summary", `Successfully created fine-tuning job with model ${this.model}`);
    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.
Fine Tuning Model	`model`	`string`	Select a value from the drop down menu:`{ "label": "gpt-3.5-turbo-1106 (recommended)", "value": "gpt-3.5-turbo-1106" }{ "label": "gpt-3.5-turbo-0613", "value": "gpt-3.5-turbo-0613" }{ "label": "babbage-002", "value": "babbage-002" }{ "label": "davinci-002", "value": "davinci-002" }{ "label": "gpt-4-0613 (experimental — eligible users will be presented with an option to request access in the fine-tuning UI)", "value": "gpt-4-0613" }`
Training File	`trainingFile`	`string`	Select a value from the drop down menu.
Hyperparameters	`hyperParameters`	`object`	The hyperparameters used for the fine-tuning job. See details in the documentation.
Suffix	`suffix`	`string`	A string of up to 18 characters that will be added to your fine-tuned model name.
Validation File	`validationFile`	`string`	Select a value from the drop down menu.

Create Fine Tuning Job with OpenAI (ChatGPT) API on New Expense from Zoho Books API

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