Actions: AI
GPT chat completion
This submits the prompt to the GPT Chat Completion endpoint. It includes also, the previous messages and responses in the conversation. These can be accessed independently using the ‘GPTConversations’ array functions. The documentation for this endpoint can be found here: https://platform.openai.com/docs/api-reference/chat/create.
| Argument | Description |
|---|---|
| ResponseOutput | Where the resulting response text should be be placed. |
| ConversationName | The name that will be used to track this conversation. This name gives you the ability to access the conversation’s responses directly using the ‘GPTConversations’ variable array. |
| Model | The model that should be used for the request. If you use ‘chatgpt-4o-latest’ your code will always use the latest 4o model. Visit https://platform.openai.com/docs/models for more info. |
| BasePrompt | The prompt which defines the desired behavior of the AI. This is where you tell the AI what role to play in this conversation. Describe it in as much detail as you can. For example: You are a world class designer, and you will help me design an app based on proper design rules and conventions. |
| RequestPrompt | Where the user’s next prompt should come from |
GPT vision
This sends an image to the OpenAI Vision API, returning the GPTs response to your image based on the prompt. The call is synchronous.
| Argument | Description |
|---|---|
| ResponseModel | The GPT model to use to generate the text response. |
| ResponseOutput | Where the response text will be placed. |
| TopicName | The name that will be used to track calls. This name gives you the ability to access the returned data directly using the ‘GPTVision’ array variable. |
| DetailMode | The input detail mode. Low = 512x512, High = 768x2048 or 2048x768. Input images are resized to those dimensions when uploaded. It is best to aim to send the appropriate image sizes. |
| ImageData | The binary data of the image. Your image will be resized based on the detail level you selected. |
| RequestPrompt | The prompt for the request. ie: What is in the image? |
clear GPT conversation
Clear the content of a GPT Conversation.
| Argument | Description |
|---|---|
| ConversationName | Select the GPT conversation to be cleared. |
convert text to speech
This converts text to speech using OPENAIs Text To Speech API. Documentation for this endpoint can be found here: https://platform.openai.com/docs/api-reference/audio/createSpeech.
| Argument | Description |
|---|---|
| Response | Where the resulting audio data be be placed |
| Text | The text to be turned into audio. |
| Model | The model that should be used for the request. |
| Voice | The OPENAI TTS Voice to be used. |
| Speed | The speed of the speech. |
generate image
Generates an image using OpenAI API and places the image in a variable or image. The documentation for this endpoint can be found here: https://platform.openai.com/docs/api-reference/images.
| Argument | Description |
|---|---|
| ResponseFormat | Return Image BINARY Data or a URL. |
| Resolution | The resolution of the resulting image |
| RequestPrompt | The prompt for the image generation request. This is where you describe the image you wish to generate in as much detail as you can. |
| Style | Generation style to use. |
| ConversationName | The name that will be used to track this conversation. This name gives you the ability to access the conversation’s array directly using the GPTConversations array. |
| Quality | The quality setting to use for the request. ‘standard’ produced lower quality results, and ‘hd’ produces the highest quality images the DALE-3 model is capable of. |
| ResponseOutput | Where the URL or image data should go. |
This chapter was last updated on Fri 8 Nov 2024 10:54:34 GMT