OpenAI (ChatGPT, Whisper, DALL-E)
With OpenAI (ChatGPT, Whisper, DALL-E) modules in Make, you can create chat or prompt completions, edits, and moderations, generate images, and call APIs.
To get started with OpenAI, you need an OpenAI account.
Note
Make modules support GPT-3.5, and GPT-4 models provided the user has access. If you do not have access, please join the waitlist to get access when capacity is available.
GPT-4 is currently in a limited beta version and is only accessible to those who have been granted access.
Connect OpenAI to Make
To connect OpenAI to Make, you must obtain an API Key and Organization ID from your account.
Log in to your OpenAI (ChatGPT, Whisper, DALL-E) account.
Click on your profile icon in the top right corner > View API Keys.
Click Create new secret key, give the key a name (optional), and click Create secret key.
Copy the secret key, store it in a safe place as you will not be able to view it again, and click Done.
Go to your account settings page and copy your Organization ID to your clipboard.
Log in to your Make account, add an OpenAI (ChatGPT, Whisper, DALL-E) module to a scenario, and click Create a connection.
Optional: In the Connection name field, enter a name for the connection.
In the API Key field, enter the secret key copied in step 4.
In the Organization ID field, enter the organization ID copied in step 5 and click Save.
You have successfully established the connection. You can now edit your scenario and add more OpenAI (ChatGPT, Whisper, DALL-E) modules. If your connection needs reauthorization at any point, follow the connection renewal steps here.
Actions
Creates a completion for the provided prompt or chat
See the OpenAI model endpoint compatibility section for the list of supported models.
Note
If you do not have access to the GPT-4 models, please join the waitlist to get access when capacity is available.
GPT-4 is currently in a limited beta version and is only accessible to those who have been granted access.
Connection | |
Select Method | Select a method to create a completion. |
Model | Select or map the model you want to use. NoteEnsure you have access to the model you want to work with. Only models available for the account are listed for selection. |
Prompt | Enter the prompt for which you want to generate the completions. |
Messages | Add the messages for which you want to create the completion by selecting the role and entering the message content. For more information about chat completion, refer to the OpenAI documentation. |
Max Token | The maximum number of tokens to generate in the completion. the default value is 16. |
Temperature | Specify the sampling temperature to use. A higher value means the model will take more risks. Try 0.9 for more creative applications and 0 (argmax sampling) for ones with a well-defined answer. Defaults to 1. |
Top p | An alternative to sampling with temperature is called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. Defaults to 1. |
N | The number of completions to generate for each prompt. Defaults to 1. |
Creates a new edit for the provided input, instruction, and parameters.
Connection | |
Model | Select or map the model for which you want to create the edit. NoteEnsure you have access to the model you want to work with. Only models available for the account are listed for selection. |
Instruction | Enter instructions that tells the model about the process of editing the input. |
Input | Enter the text to use as a starting point for creating the edit. |
Temperature | Specify the sampling temperature to use. A higher value means the model will take more risks. Try 0.9 for more creative applications and 0 (argmax sampling) for ones with a well-defined answer. The default value is 1. |
Top p | Specify an alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. A value of 0.1 means only the tokens comprising the top 10% probability mass are considered. The default value is 1. |
N | Specify the number of edits to generate for the input and instruction. The default value is 1. |
Classifies if text violates OpenAI's Content Policy.
Connection | |
Input | Enter the text for which you want to create the moderation. The module will classify the content against OpenAI's Content Policy. |
Generates an image with DALL E given a prompt.
Connection | |
Prompt | Enter details of the images you want to generate. The maximum number of characters allowed is 1000. |
Size | Select or map the size of the images to generate. It must be one of |
Response Format | Select or map the format in which the generated images are returned. If you select |
N | Enter the number of images to generate. Enter a number between 1 and 10. |
Creates a translation of an audio into English.
Connection | |
File Name | Enter the name of the file you want to translate. |
File Data | Enter the data of the file you want to translate. |
Model | Select or map the model you want to use. Refer to the OpenAI Audio API documentation for information on available models. NoteEnsure you have access to the model you want to work with. Only models available for the account are listed for selection. |
Prompt | Enter text to guide the model's style or continue a previous audio segment. (Optional) The prompt should be in English. |
Temperature | Enter a sampling temperature between 0 and 1. Higher values, such as 0.8, will make the output more random. Lower values, such as 0.2, will make it more focused and deterministic. |
Creates a transcription of an audio to text.
Connection | |
File Name | Enter the name of the file you want to transcribe. |
File Data | Enter the data of the file you want to transcribe. |
Model | Select or map the model you want to use. Refer to the OpenAI Audio API documentation for information on available models. NoteEnsure you have access to the model you want to work with. Only models available for the account are listed for selection. |
Prompt | Enter text to guide the model's style or continue a previous audio segment. (Optional) The prompt should be in the same language as the audio. |
Temperature | Enter a sampling temperature between 0 and 1. Higher values, such as 0.8, will make the output more random. Lower values, such as 0.2, will make it more focused and deterministic. |
Language | Enter the two letter ISO code of the input audio's language. |
Identifies specified information in a prompt's raw text and returns it as structured data.
Connection | |||||||||||
Model | Select or map the model you want to use to transform text into structured data. NoteEnsure you have access to the model you want to work with. Only models available for the account are listed for selection. | ||||||||||
Text to Parse | Enter the text containing the data that you want to transform. | ||||||||||
Prompt | Enter a short description explaining what type of data should be extracted from the text entered above. | ||||||||||
Structured Data Definition | Enter parameters or map the way in which the structured data should be returned.
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Performs an arbitrary authorized API call.
Note
For the list of available endpoints, see OpenAI ChatGPT API Documentation.
Connection | |
URL | Enter a path relative to |
Method | GET to retrieve information for an entry. POST to create a new entry. PUT to update/replace an existing entry. PATCH to make a partial entry update. DELETE to delete an entry. |
Headers | Enter the desired request headers. You don't have to add authorization headers; we already did that for you. |
Query String | Enter the request query string. |
Body | Enter the body content for your API call. |
Examples of Use - List Models
The following API call returns all pages from your OpenAI account.
URL:/v1/models
Method: GET
The search matches can be found in the module's Output under Bundle > Body > data.
In our example, 69 models were returned:
