OpenAI (ChatGPT, Whisper, DALL...

OpenAI modules

12min

After connecting to the OpenAI (ChatGPT, Whisper, DALL-E) app, you can use the following modules to build your .
Triggers
Triggers when a batch is completed
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Limit
Enter the maximum number of results to be worked with during one execution cycle.
﻿
AI
Send messages to a specified or newly created thread and execute it seamlessly. This action can send the arguments for your function calls to the specified URLs (POST HTTP method only). Works with Assistants v2.
Connection
﻿Establish a connection to your OpenAI account.﻿
Assistant
Select or map the assistant you would like to use.
Role
Indicate whether to send a message on behalf of the user or the assistant.
Message
Enter the message to send to the Assistant.
Image Files
Select images you want to include.
Map or select the binary data of the image. You can retrieve the binary data of an image using the HTTP: Get a file module, or another app such as Dropbox.
Images are only supported on certain models. For more information, see OpenAI Vision-compatible models.
Image URLs
Add images you want to include.
Enter the URL address to a public resource of the image. For example, https://getmyimage.com/myimage.png.
Images are only supported on certain models. For more information, see OpenAI Vision-compatible models.
Thread ID
Enter the Thread ID where the message will be stored.
To find your Thread ID, go to the OpenAI Playground, open your assistant, and the Thread ID will be visible.
If Thread ID is left empty, we will create a new thread. You can find the new thread's Thread ID value in the module's response.
Tool Choice
Select the tool that is called by a model. The options are:
None: the model will not call any tool and instead generates a message.
Auto: the model can pick between generating a message or calling one or more tools.
Required: the model must call one or more tools.
Specific tool's name.
Model
Select or map the model you want to use.
Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Tools
Specify tools in order to override the tools the assistant can use when generating the response.
File Source Resources
Select the vector store that will become available to the File Search tool in this thread.
Code Interpreter Resources
Select the files that will become available to the Code Interpreter tool in this thread.
Instructions
Enter instructions in order to override the default system message of the assistant when generating the response.
Max Prompt Tokens
The maximum number of tokens to use in the prompts (input including files). If the run exceeds the number of prompt tokens specified, the run will end with the Incomplete status. Refer to Open AI Platform documentation to learn more.
Max Completion Tokens
The maximum number of tokens to use in the completion (output). If the run exceeds the number of prompt tokens specified, the run will end with the Incomplete status.
Note: The o1 models require tokens for both output and reason. Insert the sum of both tokens if you use the o1 models.
Refer to Open AI Platform documentation to learn more.
Temperature
Specify the sampling temperature to use.
Higher temperatures generate more diverse and creative responses. For example, 0.8. Lower temperatures generate more focused and well-defined responses. For example, 0.2. The default value is 1.
The value must be lower than or equal to 2.
Top P
Specify the Top P value to use nucleus sampling. This will consider the results of the tokens with probability mass. The default value is 1.
The value must be lower than or equal to 1.
Response Format
Select the format in which the response will be returned.
Parse JSON Response
If you selected JSON Object for the Response Format, you can choose whether or not the response will be parsed.
Truncation Strategy
Select the truncation strategy for the response.
﻿
Creates a completion for the provided prompt or chat.
See the OpenAI model endpoint compatibility section for the list of supported models.
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Select Method
Select a method to create a completion.
Model
Select or map the model you want to use:
o1
o3
GPT-4o
GPT-4 Turbo
GPT-4
GPT-4.5
GPT-3.5 Turbo
Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Messages
Add the messages for which you want to create the completion by selecting the Role and entering the Message Content.
For some models you can manage image input type and image details as well as audio filename and audio data.
For more information about chat completion, refer to the OpenAI documentation.
Max Completion Tokens
The maximum number of tokens to generate in the completion. The default value is 2048.
Note: Low values may cause the output to be truncated. High values may use a lot of OpenAI credit.
The o1 and o3 models require tokens for both output and reason. Insert the sum of both tokens if you use the o1 and o3 models.
Refer to OpenAI Platform documentation to learn more about reasoning modules.
Predicted outputs
Enter the content that is going to be used as a predicted output. This is often the text of a file you are regenerating with minor changes. Predicted Outputs are available for the latest gpt-4o and gpt-4o-mini models.
For more information, refer to OpenAI Predicted Outputs documentation.
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.
Number
The number of completions to generate for each prompt. Defaults to 1.
Frequency Penalty
Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. This value must be a number between -2 and 2.
Presence Penalty
Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. This value must be a number between -2 and 2.
Token Probability
Add the token probability by selecting the Token and Probability. The Probability must be a number between -100 and 100.
Response Format
Choose the format for the response.
Reasoning Effort
Constrain the effort on reasoning for reasoning models by selecting low, medium, or high. Reducing the reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Defaults to medium.
Audio Output Options
If you selected the GPT-4o: gpt-4o-audio-preview model and Audio + text response format, you need to indicated a voice and an audio format in the Voice and File Format fields accordingly.
Parse JSON Response
If you selected JSON Object for the Response Format, you can choose whether or not the response will be parsed.
Seed
This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Refer to the system_fingerprint response parameter to monitor changes in the backend.
For more information, refer to the OpenAI documentation.
Stop Sequences
Add up to 4 sequences where the API will stop generating further tokens.
Other Input Parameters
Add any additional input parameters by selecting the Parameter Name , the Input Type, and entering the Parameter Value.
For more information, refer to the OpenAI documentation.
﻿
Identifies specified information in a prompt's raw text and returns it as structured data.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Model
Select or map the model you want to use.
Note: Ensure 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.
Parameter Name
Enter a name for the parameter. Adhere to the following rules:
The first character must be either a letter or an underscore.
Do not include any commas or spaces.
Do not use any special symbols, other than an underscore.
Description
Enter a short description of the parameter. This description is part of the prompt, so the more clear your description, the more accurate the response.
For example, if would like OpenAI to search for coordinates in the text, you can enter Latitude and Longitude of the location.
Data Type
Select or map the data type format in which the parameter is returned.
If there will be multiple occurrences of similar data types, select an Array option. For example, if there are coordinates of multiple locations to be returned, select Array (text).
Value Examples
Enter or map examples of possible values to be returned. The more examples you provide, the more accurate the response will be.
Is Parameter Required?
Select or map whether the parameter is required. When selecting yes, OpenAI will be forced to generate a value in the output, even if no value is detected in the text.
Object Definitions
Enter object property details.
Parameter Name
Enter a name for the object parameter. Adhere to the following rules:
The first character must be either a letter or an underscore.
Do not include any commas or spaces.
Do not use any special symbols, other than an underscore.
Description
Enter a short description of the object parameter.
For example, if would like OpenAI to search for coordinates in the text, you can enter Latitude and Longitude of the location.
Data Type
Select or map the data type format in which the object parameter is returned.
If there will be multiple occurrences of similar data types, select an Array option. For example, if there are coordinates of multiple locations to be returned, select Array (text).
Is Parameter Required?
When selecting yes, OpenAI will be forced to generate a value in the output, even if no value is detected in the text.
Accepts an array of images as an input and provides an analysis result for each of the images following the instructions specified in the prompt.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Prompt
Enter instructions for how to analyze the image(s).
Images
Add or map the images you want to analyze.
You can add images by entering an Image URL or Image file data.
Image URL: Enter the URL address to a public resource of the image. For example, https://getmyimage.com/myimage.png.
Image file: Map or select the binary data of the image. You can retrieve the binary data of an image using the HTTP: Get a file module, or another app such as Dropbox.
Model
Select or map the model you want to use.
Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Max Completion Tokens
Enter the maximum number of tokens to use for the completion. The default value is 2048.
Temperature
Specify the sampling temperature to use.
Higher temperatures generate more diverse and creative responses. For example, 0.8. Lower temperatures generate more focused and well-defined responses. For example, 0.2. The default value is 1.
The value must be lower than or equal to 2.
Top P
Specify the Top P value to use nucleus sampling. This will consider the results of the tokens with probability mass. The default value is 1.
The value must be lower than or equal to 1.
Number
Enter the number of responses to generate. If more than 1 response is generated, the results can be found in the module's output within Choices. The default value is 1.
Generates an image with DALL E given a prompt.
﻿
﻿
Connection
﻿Establish a connection to your OpenAI account.﻿
Model
Select or map the model you want to use.
Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Prompt
Enter details of the images you want to generate. The maximum number of characters allowed is 1000 if your model is Dall-E 2 and 4000 if your model is Dall-E 3.
Size
Select or map the size of the images to generate. It must be one of 256x256, 512x512, or 1024x1024.
Number
Enter the number of images to generate. Enter a number between 1 and 10.
Response Format
Select or map the format in which the generated images are returned.
If you select Base64-encoded PNG, the raw PNG image can be obtained by using the IML function, toBinary(<module_no>.data[].b64_json; base64) in the subsequent modules.
Quality
Select the quality of the generated image. HD generates images with finer details and greater consistency across the image.
Edits or extends an image.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Image
Enter an image to edit. The file must be in PNG format, less than 4 MB, and square. If a Mask file is not provided, the image must have transparency, which will be used as the mask.
Prompt
Enter details of the images you want to edit. The maximum number of characters allowed is 1000.
Mask
Enter an additional image with fully transparent areas (where alpha is zero). The transparent areas indicate where the Image will be edited. The file must be in PNG format, less than 4 MB, and the same dimensions as Image above.
Number
Enter the number of images to generate. Enter a number between 1 and 10.
Size
Select or map the size of the images to generate. It must be one of 256x256, 512x512, or 1024x1024.
Response Format
Select or map the format in which the generated images are returned.
If you select Base64-encoded PNG, the raw PNG image can be obtained by using the IML function, toBinary(<module_no>.data[].b64_json; base64) in the subsequent modules.
Creates a translation of an audio into English.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
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.
Note: Ensure 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.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
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.
Note: Ensure 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.
Qualifies whether the provided image or text(s) contains violent, hateful, illicit, or adult content.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Input format
Select the format of the input content:
Text
Array of texts
Image
Input text
Enter the text for which you want to create the moderation. The module will classify the content against OpenAI's Content Policy.
Model
Select or map the model you want to use. If empty, the default model will change based on the selected input format.
Generates an audio file based on the text input and settings specified.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Input
Enter text to generate into audio.
The text must be between 1 and 4096 characters long.
Model
Select or map the model you want to use.
Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Voice
Select or map the voice to use in the audio. For voice samples, see the OpenAI Voice Options guide.
Output Filename
Enter a name for the generated audio file. Do not include the file extension.
Response Format
Select or map the file format for the generated audio file.
Speed
Enter a value for the speed of the audio.
This must be a number between 0.25 and 4.
Files
Adds files to a specified vector store or, if not specified, creates a new vector store based on the configuration.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Batch Create Mode
Choose if you would like to create a new vector store or choose an existing vector store.
Vector Store ID
Select the vector store.
Vector Store Name
Enter a name for a new vector store.
Days Expires After
Enter the number of days of inactivity for the vector store. When the specified amount of days have passed, the vector store expires.
File IDs
Select the files to add to a vector store. For a list of supported file formats, see Open AI File Search supported files.
Uploads a file that will be available for further usage across the OpenAI platform.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
File Name
Enter the name of the file to be uploaded, including the file extension. For example, myFile.png.
Supported file types depend on the option selected in the Purpose field below. The Fine Tune purpose supports only .jsonl files.
See the Assistants Tools guide to learn more about the supported file types.
File Data
Enter the file data to be uploaded. You can retrieve file data using the HTTP: Get a file module.
Purpose
Select or map the purpose. Select Assistants for Assistants and Messages and Fine Tune for Fine-tuning.
Batches
Retrieves a list of batches.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Limit
Enter the maximum number of returned results (bundles).
Retrieves details of the specified batch.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Batch ID
Retrieves details of the specified batch.
Creates and executes a batch of API calls.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Input File ID
Select a file to use as input to create a batch.
Endpoint
Select the endpoint to use for all requests in the batch. Note that /v1/embeddings batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch.
Cancels an in-progress batch. The batch will be in status "cancelling" for up to 10 minutes before changing to "cancelled", where it will have partial results (if any) available in the output file.
Field
Description
Connection
﻿Create a connection to your OpenAI account.​﻿﻿
Batch ID
Select a batch to cancel.
Other
Performs an arbitrary authorized API call.
For the list of available endpoints, see OpenAI ChatGPT API Documentation.
Field
Description
Connection
﻿Establish a connection to your OpenAI account.﻿
URL
Enter a path relative to https://api.openai.com.
For example, /v1/models.
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:
openai-4.png
﻿
﻿

Connection	Create a connection to your OpenAI account.
Limit	Enter the maximum number of results to be worked with during one execution cycle.

Connection	Establish a connection to your OpenAI account.
Assistant	Select or map the assistant you would like to use.
Role	Indicate whether to send a message on behalf of the user or the assistant.
Message	Enter the message to send to the Assistant.
Image Files	Select images you want to include. Map or select the binary data of the image. You can retrieve the binary data of an image using the HTTP: Get a file module, or another app such as Dropbox. Images are only supported on certain models. For more information, see OpenAI Vision-compatible models.
Image URLs	Add images you want to include. Enter the URL address to a public resource of the image. For example, https://getmyimage.com/myimage.png. Images are only supported on certain models. For more information, see OpenAI Vision-compatible models.
Thread ID	Enter the Thread ID where the message will be stored. To find your Thread ID, go to the OpenAI Playground, open your assistant, and the Thread ID will be visible. If Thread ID is left empty, we will create a new thread. You can find the new thread's Thread ID value in the module's response.
Tool Choice	Select the tool that is called by a model. The options are: None: the model will not call any tool and instead generates a message. Auto: the model can pick between generating a message or calling one or more tools. Required: the model must call one or more tools. Specific tool's name.
Model	Select or map the model you want to use. Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Tools	Specify tools in order to override the tools the assistant can use when generating the response.
File Source Resources	Select the vector store that will become available to the File Search tool in this thread.
Code Interpreter Resources	Select the files that will become available to the Code Interpreter tool in this thread.
Instructions	Enter instructions in order to override the default system message of the assistant when generating the response.
Max Prompt Tokens	The maximum number of tokens to use in the prompts (input including files). If the run exceeds the number of prompt tokens specified, the run will end with the Incomplete status. Refer to Open AI Platform documentation to learn more.
Max Completion Tokens	The maximum number of tokens to use in the completion (output). If the run exceeds the number of prompt tokens specified, the run will end with the Incomplete status. Note: The o1 models require tokens for both output and reason. Insert the sum of both tokens if you use the o1 models. Refer to Open AI Platform documentation to learn more.
Temperature	Specify the sampling temperature to use. Higher temperatures generate more diverse and creative responses. For example, 0.8. Lower temperatures generate more focused and well-defined responses. For example, 0.2. The default value is 1. The value must be lower than or equal to 2.
Top P	Specify the Top P value to use nucleus sampling. This will consider the results of the tokens with probability mass. The default value is 1. The value must be lower than or equal to 1.
Response Format	Select the format in which the response will be returned.
Parse JSON Response	If you selected JSON Object for the Response Format, you can choose whether or not the response will be parsed.
Truncation Strategy	Select the truncation strategy for the response.

Connection	Create a connection to your OpenAI account.
Select Method	Select a method to create a completion.
Model	Select or map the model you want to use: o1 o3 GPT-4o GPT-4 Turbo GPT-4 GPT-4.5 GPT-3.5 Turbo Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Messages	Add the messages for which you want to create the completion by selecting the Role and entering the Message Content. For some models you can manage image input type and image details as well as audio filename and audio data. For more information about chat completion, refer to the OpenAI documentation.
Max Completion Tokens	The maximum number of tokens to generate in the completion. The default value is 2048. Note: Low values may cause the output to be truncated. High values may use a lot of OpenAI credit. The o1 and o3 models require tokens for both output and reason. Insert the sum of both tokens if you use the o1 and o3 models. Refer to OpenAI Platform documentation to learn more about reasoning modules.
Predicted outputs	Enter the content that is going to be used as a predicted output. This is often the text of a file you are regenerating with minor changes. Predicted Outputs are available for the latest gpt-4o and gpt-4o-mini models. For more information, refer to OpenAI Predicted Outputs documentation.
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.
Number	The number of completions to generate for each prompt. Defaults to 1.
Frequency Penalty	Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. This value must be a number between -2 and 2.
Presence Penalty	Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. This value must be a number between -2 and 2.
Token Probability	Add the token probability by selecting the Token and Probability. The Probability must be a number between -100 and 100.
Response Format	Choose the format for the response.
Reasoning Effort	Constrain the effort on reasoning for reasoning models by selecting low, medium, or high. Reducing the reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Defaults to medium.
Audio Output Options	If you selected the GPT-4o: gpt-4o-audio-preview model and Audio + text response format, you need to indicated a voice and an audio format in the Voice and File Format fields accordingly.
Parse JSON Response	If you selected JSON Object for the Response Format, you can choose whether or not the response will be parsed.
Seed	This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Refer to the system_fingerprint response parameter to monitor changes in the backend. For more information, refer to the OpenAI documentation.
Stop Sequences	Add up to 4 sequences where the API will stop generating further tokens.
Other Input Parameters	Add any additional input parameters by selecting the Parameter Name , the Input Type, and entering the Parameter Value. For more information, refer to the OpenAI documentation.

Field	Description
Connection	Create a connection to your OpenAI account.
Model	Select or map the model you want to use. Note: Ensure 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. Parameter Name Enter a name for the parameter. Adhere to the following rules: The first character must be either a letter or an underscore. Do not include any commas or spaces. Do not use any special symbols, other than an underscore. Description Enter a short description of the parameter. This description is part of the prompt, so the more clear your description, the more accurate the response. For example, if would like OpenAI to search for coordinates in the text, you can enter Latitude and Longitude of the location. Data Type Select or map the data type format in which the parameter is returned. If there will be multiple occurrences of similar data types, select an Array option. For example, if there are coordinates of multiple locations to be returned, select Array (text). Value Examples Enter or map examples of possible values to be returned. The more examples you provide, the more accurate the response will be. Is Parameter Required? Select or map whether the parameter is required. When selecting yes, OpenAI will be forced to generate a value in the output, even if no value is detected in the text.
Object Definitions	Enter object property details. Parameter Name Enter a name for the object parameter. Adhere to the following rules: The first character must be either a letter or an underscore. Do not include any commas or spaces. Do not use any special symbols, other than an underscore. Description Enter a short description of the object parameter. For example, if would like OpenAI to search for coordinates in the text, you can enter Latitude and Longitude of the location. Data Type Select or map the data type format in which the object parameter is returned. If there will be multiple occurrences of similar data types, select an Array option. For example, if there are coordinates of multiple locations to be returned, select Array (text). Is Parameter Required? When selecting yes, OpenAI will be forced to generate a value in the output, even if no value is detected in the text.

Field	Description
Connection	Create a connection to your OpenAI account.
Prompt	Enter instructions for how to analyze the image(s).
Images	Add or map the images you want to analyze. You can add images by entering an Image URL or Image file data. Image URL: Enter the URL address to a public resource of the image. For example, https://getmyimage.com/myimage.png. Image file: Map or select the binary data of the image. You can retrieve the binary data of an image using the HTTP: Get a file module, or another app such as Dropbox.
Model	Select or map the model you want to use. Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Max Completion Tokens	Enter the maximum number of tokens to use for the completion. The default value is 2048.
Temperature	Specify the sampling temperature to use. Higher temperatures generate more diverse and creative responses. For example, 0.8. Lower temperatures generate more focused and well-defined responses. For example, 0.2. The default value is 1. The value must be lower than or equal to 2.
Top P	Specify the Top P value to use nucleus sampling. This will consider the results of the tokens with probability mass. The default value is 1. The value must be lower than or equal to 1.
Number	Enter the number of responses to generate. If more than 1 response is generated, the results can be found in the module's output within Choices. The default value is 1.


Connection	Establish a connection to your OpenAI account.
Model	Select or map the model you want to use. Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Prompt	Enter details of the images you want to generate. The maximum number of characters allowed is 1000 if your model is Dall-E 2 and 4000 if your model is Dall-E 3.
Size	Select or map the size of the images to generate. It must be one of 256x256, 512x512, or 1024x1024.
Number	Enter the number of images to generate. Enter a number between 1 and 10.
Response Format	Select or map the format in which the generated images are returned. If you select Base64-encoded PNG, the raw PNG image can be obtained by using the IML function, toBinary(<module_no>.data[].b64_json; base64) in the subsequent modules.
Quality	Select the quality of the generated image. HD generates images with finer details and greater consistency across the image.

Field	Description
Connection	Create a connection to your OpenAI account.
Image	Enter an image to edit. The file must be in PNG format, less than 4 MB, and square. If a Mask file is not provided, the image must have transparency, which will be used as the mask.
Prompt	Enter details of the images you want to edit. The maximum number of characters allowed is 1000.
Mask	Enter an additional image with fully transparent areas (where alpha is zero). The transparent areas indicate where the Image will be edited. The file must be in PNG format, less than 4 MB, and the same dimensions as Image above.
Number	Enter the number of images to generate. Enter a number between 1 and 10.
Size	Select or map the size of the images to generate. It must be one of 256x256, 512x512, or 1024x1024.
Response Format	Select or map the format in which the generated images are returned. If you select Base64-encoded PNG, the raw PNG image can be obtained by using the IML function, toBinary(<module_no>.data[].b64_json; base64) in the subsequent modules.

Field	Description
Connection	Create a connection to your OpenAI account.
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. Note: Ensure 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.

Field	Description
Connection	Create a connection to your OpenAI account.
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. Note: Ensure 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.

Field	Description
Connection	Create a connection to your OpenAI account.
Input format	Select the format of the input content: Text Array of texts Image
Input text	Enter the text for which you want to create the moderation. The module will classify the content against OpenAI's Content Policy.
Model	Select or map the model you want to use. If empty, the default model will change based on the selected input format.

Field	Description
Connection	Create a connection to your OpenAI account.
Input	Enter text to generate into audio. The text must be between 1 and 4096 characters long.
Model	Select or map the model you want to use. Note: Ensure you have access to the model you want to work with. Only models available for the account are listed for selection.
Voice	Select or map the voice to use in the audio. For voice samples, see the OpenAI Voice Options guide.
Output Filename	Enter a name for the generated audio file. Do not include the file extension.
Response Format	Select or map the file format for the generated audio file.
Speed	Enter a value for the speed of the audio. This must be a number between 0.25 and 4.

Field	Description
Connection	Create a connection to your OpenAI account.
Batch Create Mode	Choose if you would like to create a new vector store or choose an existing vector store.
Vector Store ID	Select the vector store.
Vector Store Name	Enter a name for a new vector store.
Days Expires After	Enter the number of days of inactivity for the vector store. When the specified amount of days have passed, the vector store expires.
File IDs	Select the files to add to a vector store. For a list of supported file formats, see Open AI File Search supported files.

Field	Description
Connection	Create a connection to your OpenAI account.
File Name	Enter the name of the file to be uploaded, including the file extension. For example, myFile.png. Supported file types depend on the option selected in the Purpose field below. The Fine Tune purpose supports only .jsonl files. See the Assistants Tools guide to learn more about the supported file types.
File Data	Enter the file data to be uploaded. You can retrieve file data using the HTTP: Get a file module.
Purpose	Select or map the purpose. Select Assistants for Assistants and Messages and Fine Tune for Fine-tuning.

Field	Description
Connection	Create a connection to your OpenAI account.
Limit	Enter the maximum number of returned results (bundles).

Field	Description
Connection	Create a connection to your OpenAI account.
Batch ID	Retrieves details of the specified batch.

Field	Description
Connection	Create a connection to your OpenAI account.
Input File ID	Select a file to use as input to create a batch.
Endpoint	Select the endpoint to use for all requests in the batch. Note that /v1/embeddings batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch.

Field	Description
Connection	Create a connection to your OpenAI account.
Batch ID	Select a batch to cancel.

Field	Description
Connection	Establish a connection to your OpenAI account.
URL	Enter a path relative to https://api.openai.com. For example, /v1/models.
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.

Updated 19 Mar 2025

OpenAI (ChatGPT, Whisper, DALL-E)

Pinecone

OpenAI modules

Triggers

Watch Batch Completed

AI

Message an Assistant

Create a Completion (Prompt) (GPT and o1, o3 Models)

Transform Text to Structured Data

Analyze Image(s) - Vision

Generate an Image

Edit an Image

Create a Translation (Whisper)

Create a Transcription (Whisper)

Create a Moderation

Generate an Audio

Files

Add Files to a Vector Store

Upload a File

Batches

List Batches

Get a Batch

Create a Batch

Cancel a Batch

Other

Make an API Call

Examples of Use - List Models