Boost Your APEX App with AI-Powered GPT-3 Integration

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Boost Your APEX App with AI-Powered GPT-3 Integration

Table of Contents

  1. Introduction
  2. Understanding APEX Ace Points
  3. The Role of Barrel House Z
  4. The Challenges with Connecting an Apex App to Chat GPT
  5. The Declarative Approach to Calling the GPT3 API
  6. Creating a REST Data Source in Apex
  7. Configuring the REST Data Source for Calling GPT3 API
  8. Using the Apex Json.stringify Function
  9. Building the Apex Application for GPT3 Integration
  10. Conclusion

Introduction

Welcome to Apex Instant Tips Episode 99! In this episode, we have a special guest, Mishka Mishka, a superhero from the Cinematic Universe. Anton, the host, mentions Mishka's recent popularity and their collaboration on a post about Chat GPT. However, there seems to be an issue with getting Apex Ace points for Mishka's contributions. Anton explains that it might be because of his playful mentions of their sponsor, Barrel House Z. He clarifies that he doesn't actually work for Barrel House Z but receives free beer for featuring his dog on their Instagram. Despite the setback, Anton and Mishka proceed to discuss connecting an Apex app to GPT3 using the declarative approach.

Understanding Apex Ace Points

Before diving into the technical details, Anton briefly explains the concept of Apex Ace points. Apex Ace is a program that awards points Based on contributions to the Apex community. However, there is a rule stating that contributions cannot be part of one's job. Anton laments the fact that his contributions on the Show have been rejected due to the misconception that they are job-related. He expresses his disappointment but also humorously acknowledges that he won't be earning any points for this particular episode with Mishka.

The Role of Barrel House Z

Anton sheds light on the confusion surrounding his sponsorship by Barrel House Z. He clarifies that he doesn't work for Barrel House Z, but rather, they provide him with free beer as a gesture of friendship since his dog often appears on their Instagram. Anton mentions that he usually shares the free beer with guests on the show. He speculates that the mistaken belief that the show is affiliated with Barrel House Z might be the reason why he isn't receiving Apex Ace points.

The Challenges with Connecting an Apex App to Chat GPT

Mishka introduces the topic of connecting an Apex app to Chat GPT and mentions a recent blog post written by Anton on this subject. Mishka reveals that they had previously used a Package to call the GPT3 web service using Apex Web Service Make REST Request. However, Anton suggested exploring a declarative approach by creating a REST data source instead. Mishka explains that Anton's inclination towards declarative methods has been a recurring theme in their collaboration.

The Declarative Approach to Calling the GPT3 API

To demonstrate the declarative approach, Mishka explains that they have created a simple application with a classic report in Apex. They share their screen and navigate to the Shared Components section. Mishka shows how to create a new REST data source and configure it for connecting to the GPT3 API. They go through each step, including adding the necessary HTTP headers, authorization, and specifying the content Type as JSON.

Creating a REST Data Source in Apex

Mishka guides the audience through creating a REST data source in Apex. They discuss the importance of specifying the endpoint and including the API key obtained from OpenAI during sign-up. Mishka explains that they have preconfigured the data source for the demonstration but provides clear instructions on how to set it up from scratch. They address the use of the Bearer token and the significance of the Advanced settings specific to the GPT3 API.

Configuring the REST Data Source for Calling GPT3 API

Mishka demonstrates the process of configuring the REST data source for calling the GPT3 API. They focus on the parameters required for sending a post request to the API. They explain the significance of the "Prompt" parameter in conveying the desired information to the AI. Mishka briefly mentions the other models available for experimentation within the GPT3 API. They conclude by creating the REST data source and highlighting the importance of adding a parameter for the prompt.

Using the Apex Json.stringify Function

To overcome a potential issue with the double quotes in the JSON body, Mishka recommends using the Apex Json.stringify function. They clarify that this step is necessary when injecting JSON into a string. Mishka emphasizes the importance of this practice for maintaining the integrity of the JSON structure and avoiding errors.

Building the Apex Application for GPT3 Integration

Mishka proceeds to demonstrate the building of an Apex application for GPT3 integration. They Create a classic report that makes use of the REST data source configured earlier. Mishka adds a page item for the prompt and a button to submit the page. They show how to Bind the prompt item to the report region and perform a partial page refresh. Mishka assures the audience that the entire process will be available in the show notes for reference.

Conclusion

In conclusion, Mishka and Anton wrap up the discussion on connecting an Apex app to Chat GPT using the declarative approach. They acknowledge the potential delays when using GPT3 due to its popularity and scaling challenges. Mishka reiterates the value of the declarative approach and expresses gratitude for Anton's constant motivation to explore and utilize Apex's native components. The episode ends with Anton sharing pictures of his dog and promises of future topics and demonstrations for the audience to look forward to.

Highlights

  • Mishka and Anton discuss connecting an Apex app to Chat GPT using a declarative approach.
  • Anton clarifies the misconception surrounding his sponsorship by Barrel House Z.
  • Mishka provides detailed instructions for creating a REST data source in Apex and configuring it for the GPT3 API.
  • Mishka emphasizes the importance of using Apex Json.stringify to avoid potential JSON parsing issues.
  • They demonstrate the building of an Apex application for GPT3 integration, including the prompt input and report region.

FAQ

Q: What are Apex Ace Points? A: Apex Ace Points are awarded to individuals based on their contributions to the Apex community. These points demonstrate active participation and expertise in Apex development.

Q: Why is Anton not receiving Apex Ace points for his contributions on the show? A: Anton suspects that mentioning the sponsor, Barrel House Z, during the show might be causing confusion. Despite receiving free beer from Barrel House Z, he clarifies that his contributions are not job-related and should be eligible for Apex Ace points.

Q: What challenges are associated with connecting an Apex app to Chat GPT? A: One challenge is the popularity of GPT3, which results in delays and slower response times. Additionally, signing up for the Chat GPT API can be difficult due to high demand.

Q: Why is the declarative approach preferred for calling the GPT3 API? A: Anton encourages the use of declarative methods to streamline development and reduce the need for extensive coding. The declarative approach simplifies the process of creating a user interface for interacting with the GPT3 API.

Q: How can the Apex Json.stringify function be used to avoid JSON parsing errors? A: Mishka recommends using Apex Json.stringify when injecting JSON into a string. This function ensures the proper formatting and integrity of the JSON structure, preventing errors that may arise from special characters or formatting issues.

Q: Can the GPT3 API response provide a confidence score for the generated text? A: It is unclear whether the GPT3 API response includes a confidence score. Further examination of the response elements would be required to determine if this information is available.

Q: How can I access the application and code demonstrated in the episode? A: The application and code demonstrated in the episode can be accessed from Mishka's GitHub repository. The link will be provided in the video description.

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