Desarrolla tus propios complementos para ChatGPT - Guía técnica para desarrolladores

Desarrolla tus propios complementos para ChatGPT - Guía técnica para desarrolladores

Table of Contents

1. Overview of the Workflow and Challenges
2. How Chat GPT Plugin Talks with Backend
3. Understanding the Manifest File
4. Tracking Requests from Chat GPT
5. Authentication in the Chat GPT Plugin World
6. Choosing Your Plugin over Competitors
7. Creating the Manifest File and Open API Specification
8. Validation and Hosting with Plugin Lab
9. Real-time Event Tracking with Plugin Lab
10. Different Modes of Authentication

Overview of the Workflow and Challenges

Creating a Chat GPT plugin can pose several challenges for developers. In the usual web environment, communication often occurs between a frontend application and a backend API. However, in the Chat GPT plugin environment, there is no frontend, and users Interact with the Chat GPT window through conversations. This change in workflow presents unique challenges for developers to overcome.

One challenge is how to make Chat GPT choose your plugin over others. To solve this problem, the Manifest file comes into play. The Manifest file is a JSON file that describes your plugin and helps Chat GPT understand how to use it. It should be hosted and served through your backend API, specifically through a route named "well-known/ai/plugin.json". Failure to host and expose this file will prevent your plugin from working.

Another challenge is how to describe your API to Chat GPT. Just as in the web environment, you need to provide a specification file that clearly outlines how your API works. By referencing an Open API Specification file, you can clarify which endpoints to call and how to interact with your API. This specification file needs to be hosted and accessible through your backend.

However, one significant difference from the web environment is that You have no control over the frontend in the Chat GPT plugin environment. Chat GPT might interact with your backend in unexpected ways, potentially requiring adjustments to your Open API Specification. This necessitates constant tweaking and fine-tuning to ensure that your plugin functions as intended.

To streamline the development process and address these challenges, Plugin Lab offers a comprehensive solution. By acting as a proxy layer between Chat GPT and your backend, Plugin Lab simplifies plugin creation. It helps Create the Manifest file and Open API Specification, validates them according to OpenAI's requirements, and provides hosting with versioning capabilities. Plugin Lab also offers real-time event tracking, allowing you to monitor incoming requests and debug any issues that may arise.

Authentication is another essential aspect to consider when developing a Chat GPT plugin. You have several options for authentication, including no authentication, service-level authentication, user-level authentication, and authentication with OAuth flow. Each method has its own advantages and considerations, and you should select the one that best suits your plugin's needs.

Managing user permissions and payments is also a crucial consideration for plugin developers. While Plugin Lab provides advantages such as code rate limiting and permission management, it may not be suitable for large companies with existing infrastructure. However, for developers starting a new project or a startup looking to launch quickly, Plugin Lab offers an efficient and user-friendly solution.

In conclusion, developing a Chat GPT plugin comes with its own set of challenges. Understanding the workflow, leveraging the Manifest file, describing the API with the Open API Specification, and implementing authentication are all critical to plugin development success. Plugin Lab simplifies the process by offering essential features like hosting, validation, versioning, real-time event tracking, and authentication options. By leveraging Plugin Lab's capabilities, developers can create Chat GPT plugins quickly and effectively.