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OpenAI (Independent Publisher) (Preview)

  • Reference

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)