OpenAI (Independent Publisher) (Preview)

Connect to the OpenAI API and use the Power of GPT3, API key must be entered as "Bearer YOUR_API_KEY"

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	Robin Rosengrün
URL	https://linktr.ee/r2power
Email	robin@r2power.de

Connector Metadata
Publisher	Robin Rosengrün
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	Enter API Key as as "Bearer YOUR_API_KEY"	True

Throttling Limits

Name	Calls	Renewal Period
API calls per connection	100	60 seconds

Actions

Chat Completion	Use models like ChatGPT and GPT4 to hold a conversation
Create an Image	DallE2 creates an image from your prompt
Embeddings	Get a vector representation of a given input
GPT3 Completes your prompt	GPT3 Completes your prompt
GPT3 Completes your prompt [DEPRECATED]	GPT3 Completes your prompt (deprecated by OpenAI - use Completion_New)

Chat Completion

Operation ID:

ChatCompletion

Use models like ChatGPT and GPT4 to hold a conversation

Parameters

Name	Key	Required	Type	Description
model	model	True	string	The used model, choose between gpt-3.5-turbo, gpt-4 and others
role	role	True	string	The role of the author of this message. One of system, user, or assistant.
content	content	True	string	The contents of the message.
n	n		integer	How many completions to generate for each prompt
temperature	temperature		float	Higher values 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. Use this OR top p
max tokens	max_tokens		integer	One token equals roughly 4 characters of text (up to 4000 or more tokens between prompt and completion, depending on model)
top p	top_p		float	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.
frequency penalty	frequency_penalty		float	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the models likelihood to repeat the same line verbatim.
presence penalty	presence_penalty		float	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the models likelihood to talk about new topics.
stop	stop		array of string	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence

Returns

Name	Path	Type	Description
id	id	string	id
object	object	string	object
created	created	integer	created
choices	choices	array of object	choices
index	choices.index	integer	index
role	choices.message.role	string	role
content	choices.message.content	string	content
finish_reason	choices.finish_reason	string	finish_reason
prompt_tokens	usage.prompt_tokens	integer	prompt_tokens
completion_tokens	usage.completion_tokens	integer	completion_tokens
total_tokens	usage.total_tokens	integer	total_tokens

Create an Image

Operation ID:

CreateImage

DallE2 creates an image from your prompt

Parameters

Name	Key	Required	Type	Description
prompt	prompt	True	string	The prompt that describes the image
Number of images	n		integer	Number of images from 1 to 10
size	size		string	The size of the generated images. 256x256, 512x512 or 1024x1024 (default: 1024x1024)
format	response_format		string	Get url to picture or receive it in base64 format (default: url)

Returns

Name	Path	Type	Description
data	data	array of object	data
url	data.url	string	URL to created Image
b64image	data.b64_json	byte	Image in base64 format

Embeddings

Operation ID:

Embeddings

Get a vector representation of a given input

Parameters

Name	Key	Required	Type	Description
model	model	True	string	model
input	input	True	string	input

Returns

Name	Path	Type	Description
object	object	string	object
data	data	array of object	data
object	data.object	string	object
embedding	data.embedding	array of float	embedding
index	data.index	integer	index
model	model	string	model
prompt_tokens	usage.prompt_tokens	integer	prompt_tokens
total_tokens	usage.total_tokens	integer	total_tokens

GPT3 Completes your prompt

Operation ID:

CompletionV2

GPT3 Completes your prompt

Parameters

Name	Key	Required	Type	Description
Engine	model	True	string	The used model, choose between text-davinci-002, text-curie-001, text-babbage-001, text-ada-001
prompt	prompt	True	string	Text that will be completed by GPT3
n	n		integer	How many completions to generate for each prompt
best_of	best_of		integer	If set to more than 1, generates multiple completions server-side and returns the "best". Must be greater than "n". Use with caution, can consume a lot of tokens.
temperature	temperature		float	Higher values 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. Use this OR top p
max tokens	max_tokens		integer	One token equals roughly 4 characters of text (up to 4000 tokens between prompt and completion)
top p	top_p		float	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.
frequency penalty	frequency_penalty		float	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the models likelihood to repeat the same line verbatim.
presence penalty	presence_penalty		float	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the models likelihood to talk about new topics.
stop	stop		array of string	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence

Returns

Name	Path	Type	Description
id	id	string	id
object	object	string	object
created	created	integer	created
choices	choices	array of object	Returned Completion(s)
Text	choices.text	string	Completion text
Index	choices.index	integer	Number of completion
Finish reason	choices.finish_reason	string	Reason why the text finished (stop condition / natural end / length)
Prompt Tokens	choices.usage.prompt_tokens	integer	Number of tokens in the prompt
Completion Tokens	choices.usage.completion_tokens	integer	Number of tokens in the completion
Total Tokens	choices.usage.total_tokens	integer	Total number of tokens in prompt and completion

GPT3 Completes your prompt [DEPRECATED]

Operation ID:

Completion

GPT3 Completes your prompt (deprecated by OpenAI - use Completion_New)

Parameters

Name	Key	Required	Type	Description
Engine	engine	True	string	The used engine, choose between text-davinci-002/003, text-curie-001, text-babbage-001, text-ada-001
prompt	prompt	True	string	Text that will be completed by GPT3
n	n		integer	How many completions to generate for each prompt
best_of	best_of		integer	If set to more than 1, generates multiple completions server-side and returns the "best". Must be greater than "n". Use with caution, can consume a lot of tokens.
temperature	temperature		float	Higher values 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. Use this OR top p
max tokens	max_tokens		integer	One token equals roughly 4 characters of text (up to 4000 tokens between prompt and completion)
top p	top_p		float	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.
frequency penalty	frequency_penalty		float	Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the models likelihood to repeat the same line verbatim.
presence penalty	presence_penalty		float	Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the models likelihood to talk about new topics.
user	user		string	A unique identifier representing your end-user, which will help OpenAI to monitor and detect abuse
stop	stop		array of string	Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence

Returns

Name	Path	Type	Description
id	id	string	id
object	object	string	object
created	created	integer	created
choices	choices	array of object	Returned Completion(s)
Text	choices.text	string	Completion text
Index	choices.index	integer	Number of completion
Logprobs	choices.logprobs	string	Include the log probabilities on the logprobs most likely tokens, as well the chosen tokens. For example, if logprobs is 3, the API will return a list of the 3 most likely tokens.
Finish reason	choices.finish_reason	string	Reason why the text finished (stop condition / natural end / length)