OpenAI GPT (Independent Publisher) (Preview)

OpenAI is an artificial intelligence research laboratory. The company conducts research in the field of AI with the stated goal of promoting and developing friendly AI in a way that benefits humanity as a whole. Through this connector you can access the Generative Pre-trained Transformer 4 (GPT-4), an autoregressive language model that uses deep learning to produce human-like text, plus many other models.

This connector is available in the following products and regions:

Service	Class	Regions
Logic Apps	Standard	All Logic Apps regions except the following:      -   Azure Government regions      -   Azure China regions      -   US Department of Defense (DoD)
Power Automate	Premium	All Power Automate regions except the following:      -   US Government (GCC)      -   US Government (GCC High)      -   China Cloud operated by 21Vianet      -   US Department of Defense (DoD)
Power Apps	Premium	All Power Apps regions except the following:      -   US Government (GCC)      -   US Government (GCC High)      -   China Cloud operated by 21Vianet      -   US Department of Defense (DoD)

Contact
Name	Troy Taylor
URL	https://www.hitachisolutions.com
Email	ttaylor@hitachisolutions.com

Connector Metadata
Publisher	Troy Taylor
Website	https://openai.com/
Privacy policy	https://openai.com/api/policies/terms/
Categories	AI

Creating a connection

The connector supports the following authentication types:

Default	Parameters for creating connection.	All regions	Not shareable

Default

Applicable: All regions

Parameters for creating connection.

This is not shareable connection. If the power app is shared with another user, another user will be prompted to create new connection explicitly.

Name	Type	Description	Required
API Key	securestring	The key for this service. Must be in the format 'Bearer yourAPIKey'.	True

Throttling Limits

Name	Calls	Renewal Period
API calls per connection	100	60 seconds

Actions

Cancel fine-tuning	Immediately cancel a fine-tune job.
Create completion	Creates a completion for the provided prompt and parameters.
Create fine-tuning job	Creates a job that fine-tunes a specified model from a given dataset.
Create moderation	Classifies if text violates OpenAI's Content Policy.
Edit Prompt	Creates a new edit for the provided input, instruction, and parameters.
Get chat completions	Retrieves a chat completion powered by ChatGPT.
List fine-tuning events	Retrieve status updates for a fine-tuning job.
List models	Lists the currently available models, and provides basic information about each one such as the owner and availability.
Retrieve fine-tuning job	Retrieve info about a fine-tuning job.

Cancel fine-tuning

Operation ID:

FineTuningCancelPost

Immediately cancel a fine-tune job.

Parameters

Name	Key	Required	Type	Description
Fine-tuning Job ID	fine_tuning_job_id	True	string	The fine-tuning job identifier.

Returns

Name	Path	Type	Description
Object	object	string	The object.
ID	id	string	The identifier.
Model	model	string	The model.
Created At	created_at	integer	When created at.
Fine-Tuned Model	fine_tuned_model	string	The fine-tuned model.
Organization ID	organization_id	string	The organization identifier.
Result Files	result_files	array of string	The result files.
Epochs	hyperparameters.n_epochs	integer	The number of epochs.
Status	status	string	The status.
Validation File	validation_file	string	The validation file.
Training File	training_file	string	The training file.

Create completion

Operation ID:

CompletionPost

Creates a completion for the provided prompt and parameters.

Parameters

Name	Key	Required	Type	Description
Model	model	True	string	ID of the model to use.
Prompt	prompt		string	The prompt(s) to generate completions for, encoded as a string, array of strings, array of tokens, or array of token arrays.
Max Tokens	max_tokens		integer	The maximum number of tokens to generate in the completion.
Temperature	temperature		double	What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
Top P	top_p		double	An alternative to sampling with temperature, 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.
N	n		integer	How many completions to generate for each prompt.
Log Probabilities	logprobs		string	Include the log probabilities on the logprobs most likely tokens, as well the chosen tokens.
Stop	stop		string	A sequence where the service will stop generating further tokens.

Returns

Name	Path	Type	Description
first_completion	first_completion	string	first_completion
ID	result.id	string	The identifier.
Object	result.object	string	The object.
Created	result.created	integer	When created.
Model	result.model	string	The model.
Choices	result.choices	array of object
Text	result.choices.text	string	The text.
Index	result.choices.index	integer	The index
Log Probs	result.choices.logprobs	string	The log probs.
Finish Reason	result.choices.finish_reason	string	The finish reason
Prompt Tokens	result.usage.prompt_tokens	integer	The prompt tokens.
Completion Tokens	result.usage.completion_tokens	integer	The completion tokens.
Total Tokens	result.usage.total_tokens	integer	The total tokens.

Create fine-tuning job

Operation ID:

FineTuningPost

Creates a job that fine-tunes a specified model from a given dataset.

Parameters

Name	Key	Required	Type	Description
Training File	training_file	True	string	The ID of an uploaded file that contains training data.
Validation File	validation_file		string	The ID of an uploaded file that contains validation data.
Model	model	True	string	The name of the model to fine-tune.
Epochs	n_epochs		integer	The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
Suffix	suffix		string	A string of up to 40 characters that will be added to your fine-tuned model name.

Returns

Name	Path	Type	Description
Object	object	string	The object.
ID	id	string	The identifier.
Model	model	string	The model.
Created At	created_at	integer	When created at.
Fine-Tuned Model	fine_tuned_model	string	The fine-tuned model.
Organization ID	organization_id	string	The organization identifier.
Result Files	result_files	array of string	The result files.
Status	status	string	The status.
Validation File	validation_file	string	The validation file.
Training File	training_file	string	The training file.

Create moderation

Operation ID:

ModerationPost

Classifies if text violates OpenAI's Content Policy.

Parameters

Name	Key	Required	Type	Description
Input	input	True	string	The input text to classify.
Model	model		string	The model.

Returns

Name	Path	Type	Description
ID	id	string	The identifier.
Model	model	string	The model.
Results	results	array of object
Flagged	results.flagged	boolean	Whether flagged.
Sexual	results.categories.sexual	boolean	Whether sexual.
Hate	results.categories.hate	boolean	Whether hateful.
Harassment	results.categories.harassment	boolean	Whether harrassment.
self-harm	results.categories.self-harm	boolean	Whether self-harm.
sexual/minors	results.categories.sexual/minors	boolean	Whether minor sexual.
hate/threatening	results.categories.hate/threatening	boolean	Whether threatening hateful.
violence/graphic	results.categories.violence/graphic	boolean	Whether graphic violence.
self-harm/intent	results.categories.self-harm/intent	boolean	Whether intent to self-harm.
self-harm/instructions	results.categories.self-harm/instructions	boolean	Whether self-harm instructions.
harassment/threatening	results.categories.harassment/threatening	boolean	Whether threatening harassment.
Violence	results.categories.violence	boolean	Whether violence.
Sexual	results.category_scores.sexual	float	The number of sexual.
Hate	results.category_scores.hate	float	The number of hateful.
Harassment	results.category_scores.harassment	float	The number of harassment.
self-harm	results.category_scores.self-harm	float	The number of self-harm.
sexual/minors	results.category_scores.sexual/minors	float	The number of minor sexual.
hate/threatening	results.category_scores.hate/threatening	float	The number of threatening hateful.
violence/graphic	results.category_scores.violence/graphic	float	The number of graphic violence.
self-harm/intent	results.category_scores.self-harm/intent	float	The number of intent to self-harm.
self-harm/instructions	results.category_scores.self-harm/instructions	float	The number of self-harm instructions.
harassment/threatening	results.category_scores.harassment/threatening	float	The number of threatening harassment.
Violence	results.category_scores.violence	float	The number of violence.

Edit Prompt

Operation ID:

EditPost

Creates a new edit for the provided input, instruction, and parameters.

Parameters

Name	Key	Required	Type	Description
Model	model	True	string	ID of the model to use.
Input	input		string	The input text to use as a starting point for the edit.
Instruction	instruction	True	string	The instruction that tells the model how to edit the prompt.
N	n		integer	How many edits to generate for the input and instruction.
Temperature	temperature		double	What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
Top P	top_p		double	An alternative to sampling with temperature, 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.

Returns

Name	Path	Type	Description
Object	object	string	The object.
Created	created	integer	When created.
Choices	choices	array of object	The choices.
Text	choices.text	string	The text.
Index	choices.index	integer	The index.
Prompt Tokens	usage.prompt_tokens	integer	The prompt tokens.
Completion Tokens	usage.completion_tokens	integer	The completion tokens.
Total Tokens	usage.total_tokens	integer	The total tokens.

Get chat completions

Operation ID:

ChatPost

Retrieves a chat completion powered by ChatGPT.

Parameters

Name	Key	Required	Type	Description
Model	model	True	string	The chat model.
Role	role	True	string	The role.
Content	content	True	string	The content.
Max Tokens	max_tokens		integer	The maximum number of tokens to generate in the completion.
Temperature	temperature		double	What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.
Top P	top_p		double	An alternative to sampling with temperature, 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.
N	n		integer	How many completions to generate for each prompt.
Stop	stop		string	A sequence where the service will stop generating further tokens.
Presence Penalty	presence_penalty		double	Number between -2.0 and 2.0. 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.
Frequency Penalty	frequency_penalty		double	Number between -2.0 and 2.0. 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.
User	user		string	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

Returns

Name	Path	Type	Description
First Content	first_content	string	The first content.
ID	id	string	The identifier.
Object	object	string	The object.
Created	created	integer	When created.
Choices	choices	array of object
Index	choices.index	integer	The index.
Role	choices.message.role	string	The role.
Content	choices.message.content	string	The content.
Finish Reason	choices.finish_reason	string	The finish reason.
Prompt Tokens	usage.prompt_tokens	integer	The prompt tokens.
Completion Tokens	usage.completion_tokens	integer	The completion tokens.
Total Tokens	usage.total_tokens	integer	The total tokens.

List fine-tuning events

Operation ID:

FineTuningEventsGet

Retrieve status updates for a fine-tuning job.

Parameters

Name	Key	Required	Type	Description
Fine-tuning Job ID	fine_tuning_job_id	True	string	The fine-tuning job identifier.
After	after		string	The identifier for the last event from the previous pagination request.
Limit	limit		integer	The number of events to retrieve.

Returns

Name	Path	Type	Description
Object	object	string	The object.
Data	data	array of object
Object	data.object	string	The object.
ID	data.id	string	The identifier.
Created At	data.created_at	integer	When created at.
Level	data.level	string	The level.
Message	data.message	string	The message.
Data	data.data	string	The data.
Type	data.type	string	The type.
Has More	has_more	boolean	Whether has more.

List models

Operation ID:

ModelsGet

Lists the currently available models, and provides basic information about each one such as the owner and availability.

Returns

Name	Path	Type	Description
Object	object	string	The object.
Data	data	array of object
ID	data.id	string	The identifier.
Object	data.object	string	The object.
Created	data.created	integer	When created.
Owned By	data.owned_by	string	The owned by.
Permission	data.permission	array of object
ID	data.permission.id	string	The identifier.
Object	data.permission.object	string	The object.
Created	data.permission.created	integer	When created.
Allow Create Engine	data.permission.allow_create_engine	boolean	Whether to allow create engine.
Allow Sampling	data.permission.allow_sampling	boolean	Whether to allow sampling.
Allow Logprobs	data.permission.allow_logprobs	boolean	Whether to allow logprobs.
Allow Search Indices	data.permission.allow_search_indices	boolean	Whether to allow search indices .
Allow View	data.permission.allow_view	boolean	Whether to allow view.
Allow Fine Tuning	data.permission.allow_fine_tuning	boolean	Whether to allow fine tuning.
Organization	data.permission.organization	string	The organization.
Group	data.permission.group	string	The group.
Is Blocking	data.permission.is_blocking	boolean	Whether is blocked.
Root	data.root	string	The root.
Parent	data.parent	string	The parent.

Retrieve fine-tuning job

Operation ID:

FineTuningGet

Retrieve info about a fine-tuning job.

Parameters

Name	Key	Required	Type	Description
Fine-tuning Job ID	fine_tuning_job_id	True	string	The fine-tuning job identifier.

Returns

Name	Path	Type	Description
Object	object	string	The object.
ID	id	string	The identifier.
Model	model	string	The model.
Created At	created_at	integer	When created at.
Finished At	finished_at	integer	When finished at.
Fine-Tuned Model	fine_tuned_model	string	The fine-tuned model.
Organization ID	organization_id	string	The organization identifier.
Result Files	result_files	array of string	The result files.
Status	status	string	The status.
Validation File	validation_file	string	The validation file.
Training File	training_file	string	The training file.
epochs	hyperparameters.n_epochs	integer	The number of epochs.
Trained Tokens	trained_tokens	integer	The number of trained tokens.