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Creating a Custom GPT with OpenAI

Path
explorations/Creating a Custom GPT with OpenAI.md
Authors
Michael Staton
Tags
Explorations · Fine-Tuners

Context

I’m following along to this [[YouTube]] video: Creating Custom GPTs: API Key For Custom Actions | Complete Guide

Creating a [[Custom GPT]] is like creating a sandbox in which you can apply your own [[concepts/Explainers for AI/Fine Tuning]] to the [[GPT-Series Models]] in [[OpenAI]]

[!LLM Response] [[GPT-Series Models|GPT’s]] Response Creating a custom GPT in OpenAI involves using the Custom GPTs feature available in the ChatGPT interface. Here’s a step-by-step guide to help you get started:

1. Accessing the Custom GPT Feature

  • Go to ChatGPT
  • Click on “Explore GPTs” in the left sidebar.
  • Click “Create a GPT” to open the customization interface.

2. Setting Up Your Custom GPT

OpenAI provides a guided setup where you define your GPT’s behavior and personality.

Step 1: Define Your GPT’s Purpose

  • Give it a name that reflects its purpose (e.g., “News Assistant”).
  • Write a description of what your GPT does.
  • Specify its personality and tone (e.g., formal, casual, technical).

Step 2: Configure Instructions

  • Modify the “Instructions for the Assistant” field to customize responses.
  • Adjust “Instructions for the User” to guide users on how to interact with your GPT.

Step 3: Upload APIs & Files (Advanced)

  • If you want to integrate GNews API, you’ll need to use API calls within the GPT.
  • You can provide API documentation or a sample request/response format.
  • Upload relevant files (if needed) to help it process news queries efficiently.

Step 4: Test & Iterate

  • Use the built-in chat window to test responses.
  • Adjust instructions if needed to improve accuracy and relevance.

3. Advanced Customization (API Integration)

To integrate the GNews API, you’ll need to use external API calls. Since OpenAI’s Custom GPTs do not natively support API calls yet, you may need to:

  1. Use an external script (e.g., Python, Node.js) to fetch data from GNews and send it to the GPT.
  2. Integrate with a no-code automation tool like Zapier or Make.com to pull news from GNews and send it to your chatbot.

4. Deployment & Sharing

Once you are satisfied:

  • Publish your GPT for personal use.
  • Share the link with others.
  • If applicable, integrate it into a website or app.

The video seems to suggest you can create [[Application Programming Interface|API]] integrations through a feature called [[Actions]].

This video provides a comprehensive guide on how to create custom GPTs with a focus on integrating Auth Actions API Key for applications in the OpenAI App Store. It likely covers the step-by-step process of developing and customizing GPTs, setting up necessary authentication, and preparing them for the OpenAI App Store. SUBSCRIBE for more! 👉 http://bit.ly/3zlUmiS 👈

Here was [[GPT-Series Models|GPT’s]] response:

[!LLM Response] [[GPT-Series Models|GPT]] Response You’re looking to create an Action for your custom GPT that integrates with the GNews API—great choice! 🎯

Right now, OpenAI hasn’t publicly released access for developers to add Actions to GPTs in the builder. However, once this feature is available, you’d follow these general steps:

How Actions Work

  1. Define an API Schema (OpenAPI/JSON format)
  2. Authenticate (Usually via API keys)
  3. Register the Action in OpenAI’s GPT builder
  4. Use the Action inside your custom GPT

What You Can Do Now

I can help you:
✅ Write an OpenAPI schema for GNews integration
✅ Set up API authentication
✅ Handle API responses and formatting

You said:

I would like a Custom GPT that I can access using an API endpoint and my developer API key. I want this Custom GPT to ghost write content for my “wiki” style website, so the responses should follow a distinct format. I have a list of vocabulary words that are Technology and/or business trends, some of which are just the word as the filename, and some of which have some content and links just dumped in, and some of which have a directory of markdown files that are autogenerated by various AI’s. How would I create such a Custom GPT?

ChatGPT said:

You’re describing a Custom GPT that:

  1. Generates “wiki-style” content for tech and business trends.
  2. Can be accessed via API using OpenAI’s developer API key.
  3. Uses structured formatting for consistency.
  4. Incorporates existing vocabulary words and markdown files into responses.

Approach to Building This

1. Choosing the Right Setup

  • OpenAI’s Assistants API allows you to programmatically interact with a fine-tuned GPT for your use case.
  • If OpenAI’s GPT Actions become available, you could directly integrate external data.

2. Structuring the API-Powered GPT

Since OpenAI doesn’t yet allow Custom GPTs to have their own API endpoints, you would:

  1. Use the Assistants API (or GPT-4-turbo) to build your custom writing assistant.
  2. Host your own API wrapper to format requests and integrate with your vocabulary files.
  3. Define a strict output format for consistency across articles.

Implementation Plan

1. Define the Wiki Content Format

Example of structured output for each entry:

# {Topic Name}  

## Definition  
A brief and clear definition.  

## History & Evolution  
How the concept has evolved over time.  

## Current Trends  
Notable companies, influencers, or major developments.  

## Use Cases  
Practical applications and industries involved.  

## References & Further Reading  
- [External Link 1](#)  
- [External Link 2](#)

Would this format work, or do you have specific requirements?

2. Processing Existing Vocabulary & Markdown Files

Since you have:

  • Standalone words as filenames
  • Words with content and links
  • AI-generated markdown files

Your pipeline should:

  • Extract text & metadata from existing files.
  • Provide context to the GPT via API calls.
  • Ensure consistent formatting by refining responses.

Would you like help writing a script to process these files before feeding them to GPT?

3. API Integration & Automation

To make your GPT accessible via API, you’d:

  1. Use OpenAI’s Assistants API to interact with the model programmatically.
  2. Automate content generation with a script that:
    • Takes a topic from your vocabulary list.
    • Checks if content already exists.
    • Generates missing sections using GPT.
    • Stores the output in markdown format.
  3. Deploy an endpoint (e.g., FastAPI or Flask) so other services can request content.

Would you like me to generate Python code to:
✅ Fetch wiki-style content via OpenAI API
✅ Auto-process vocabulary words
✅ Format and store results in markdown?

💡 Next Steps: Let me know if you want the code or need adjustments to the structure! 🚀

My Template

Who or what organization is credited for discoverying, creating, or coining this term, category, invention, etc. 

If there was a "creator" or a person who coined the term, make sure to mention them inside a backlink `\[\[`${P} `\]\]`