Unlock the Power of ChatGPT with Custom Actions

Unlock the Power of ChatGPT with Custom Actions

Table of Contents:

1. Introduction
2. Overview of GPTS and OpenAI
3. Creating a Chat GPT with a Specific Personality and Knowledge Base
4. Allowing GPT to Take Action and Call APIs
5. The Power of GPTs in Action
6. Exploring OpenAI's Documentation and Resources
7. Setting Up Chat GPT Plus
8. Creating a Conversational Interface
9. Working with the Pet Store API
10. Understanding Actions and OpenAPI Schemas
11. Calling the Pet Store API Endpoints
12. Authenticating and Securing API Calls
13. Making API Calls with GPT
14. Verifying and Allowing Consequential Actions
15. Integrating GPT with Zapier

Article: Allowing GPTs to Take Action and Call APIs

The release of GPTs by OpenAI has opened up a world of possibilities for creating chat interfaces with specific personalities and knowledge bases. While many Creators have focused on building these GPT-Based interfaces, there is a lack of information on how to allow them to take action and call APIs. This article aims to fill that gap by providing insights into the powerful capabilities of GPTs in action and how to effectively leverage them.

To begin, it is essential to have access to Chat GPT Plus, which allows You to Create GPTs with action capabilities. Once you have acquired this access, you can navigate to the Explore tab and select "Create GPT." While the conversational interface is an exciting feature, we will focus on the actions aspect and its integration with APIs.

Actions serve as instructions for GPTs on which APIs they can call. To define these actions, OpenAPI specifications are used. These specifications describe the structure and behavior of the APIs. OpenAI provides a default YAML file for the Pet Store API, a commonly used public API for demonstration purposes. However, it is crucial to ensure that the version of the API being used aligns with the specifications provided by OpenAI.

Within the OpenAPI schema, various endpoints are defined, each serving a specific purpose. By specifying a summary and reasoning engine, the GPT can determine the appropriate endpoint to call. For example, the "find pets by status" endpoint can be used to fetch available pets. Instead of manually passing query parameters, the GPT can understand and execute this command based on its understanding of the language model.

However, it is essential to consider the consequences of each action. Some actions may have a significant impact, requiring verification before execution. OpenAI implements a flag, the "is consequential" flag, which determines if the action should always require explicit verification or allow automatic execution. This flag ensures that crucial actions are not performed without proper consent.

When integrating GPT with APIs, authentication and security play a critical role. OpenAI allows the inclusion of authentication methods such as OAuth or API keys. By specifying these authentication mechanisms in the OpenAPI schema, GPT can handle secure API calls seamlessly. Custom headers and advanced authentication methods like OAuth are also supported, providing flexibility in API integration.

Verifying and allowing consequential actions is another important aspect of GPT usage. By specifying certain actions as consequential using OpenAI extensions, GPT will Seek explicit approval before executing them. This adds an additional layer of safety and ensures that actions with significant consequences are not taken lightly.

In future videos, we will explore how GPT can be integrated with Zapier, expanding the range of use cases by connecting GPT with a wide range of applications. Stay tuned for an in-depth guide on this integration.

In conclusion, GPTs have the potential to revolutionize how we Interact with APIs and take action based on natural language commands. By leveraging the power of GPTs, developers can create intelligent chat interfaces that seamlessly interact with external systems and provide dynamic responses. The combination of GPTs and APIs opens up a new world of possibilities for chat-based applications.

Pros:

• Enables GPTs to take action and call APIs, expanding their functionality
• Provides a seamless integration with OpenAPI specifications for interacting with APIs
• Supports authentication and security mechanisms for secure API calls
• Allows verification and approval of consequential actions, ensuring safety and control
• Integration with Zapier expands the range of use cases for GPTs

Cons:

• Limited documentation and resources available for GPTs' API capabilities
• Requires a good understanding of OpenAPI specifications and API integration concepts

Highlights:

• Learn how to unleash the power of GPTs in taking action and calling APIs.
• Discover the straightforward steps to integrate GPTs with the Pet Store API.
• Understand the importance of verification and approval for consequential actions.
• Explore the future possibilities of GPT integration with Zapier.

FAQ:

Q: Can GPT-based interfaces interact with any API? A: Yes, by defining actions using OpenAPI specifications, GPTs can call and interact with any API that aligns with the specified schema.

Q: Are there any security measures in place for GPTs making API calls? A: Yes, OpenAI allows the inclusion of authentication methods like OAuth and API keys, ensuring secure API calls.

Q: Can GPTs automatically perform consequential actions? A: GPTs require verification for consequential actions to prevent unintended consequences. Explicit approval is necessary for executing such actions.

Q: How can GPT integration with Zapier expand its capabilities? A: Zapier integration allows GPTs to communicate with hundreds of different applications, opening up numerous possibilities for use cases.