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OpenAI GPT (Independent Publisher) (Preview)

  • Reference

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 [DEPRECATED]

Creates a completion for the provided prompt and parameters.
Create embedding

Creates an embedding vector representing the input text.
Create fine-tuning job

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

Creates an image given a prompt.
Create image edit

Creates an edited or extended image given an original image and a prompt.
Create image variation

Creates a variation of a given image.
Create moderation

Classifies if text violates OpenAI's Content Policy.
Create speech

Generates audio from the input text.
Create transcription

Transcribes audio into the input language.
Create translation

Translates audio into English.
Edit Prompt [DEPRECATED]

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 [DEPRECATED]

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 embedding

Operation ID:
EmbedPost

Creates an embedding vector representing the input text.

Parameters

Name Key Required Type Description
Input
 input True string

The input.
Model
 model string

The model.
Encoding Format
 encoding_format string

The encoding format.
User
 user string

The unique user string.

Returns

Name Path Type Description
Object
 object string

The object.
Data
 data array of object
Object
 data.object string

The object.
Embedding
 data.embedding array of float

The embedding.
Index
 data.index integer

The index.
Model
 model string

The model.
Prompt Tokens
 usage.prompt_tokens integer

The prompt tokens.
Total Tokens
 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 image

Operation ID:
ImagePost

Creates an image given a prompt.

Parameters

Name Key Required Type Description
Model
 model string

The model.
Prompt
 prompt True string

The prompt.
Number of Images
 n integer

The number of images.
Quality
 quality string

The quality.
Size
 size string

The size.
Style
 style string

The style.
User
 user string

The unique user string.

Returns

Name Path Type Description
Created
 created integer

When created.
Data
 data array of object
URL
 data.url string

The URL address.
Revised Prompt
 data.revised_prompt string

The revised prompt.

Create image edit

Operation ID:
ImageEditPost

Creates an edited or extended image given an original image and a prompt.

Parameters

Name Key Required Type Description
Image
 image True file

The image to edit.
Prompt
 prompt string

A text description of the desired image.
Mask
 mask file

An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where image should be edited.
Model
 model string

The model to use for image generation.
Number of Images
 n integer

The number of images to generate
Size
 size string

The size of the generated images.
User
 user string

A unique identifer representing your end user.

Returns

Name Path Type Description
Created
 created integer

When created.
Data
 data array of object
URL
 data.url string

The URL address.
Revised Prompt
 data.revised_prompt string

The revised prompt.

Create image variation

Operation ID:
ImageVariationPost

Creates a variation of a given image.

Parameters

Name Key Required Type Description
Image
 image True file

The image to edit.
Model
 model string

The model to use for image generation.
Number of Images
 n integer

The number of images to generate
Size
 size string

The size of the generated images.
User
 user string

A unique identifer representing your end user.

Returns

Name Path Type Description
Created
 created integer

When created.
Data
 data array of object
URL
 data.url string

The URL address.
Revised Prompt
 data.revised_prompt string

The revised prompt.

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.

Create speech

Operation ID:
AudioSpeechPost

Generates audio from the input text.

Parameters

Name Key Required Type Description
Model
 model True string

The model.
Input
 input True string

The input.
Voice
 voice True string

The voice.
Response Format
 response_format string

The response format.
Speed
 speed float

The speed.

Returns

Name Path Type Description
Content
 $content string

The content.
Content Type
 $content-type string

The content type.

Create transcription

Operation ID:
AudioTranscriptionPost

Transcribes audio into the input language.

Parameters

Name Key Required Type Description
File
 file True file

The audio file object to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
Model
 model True string

ID of the model to use.
Language
 language string

The language of the input audio.
Prompt
 prompt string

Text to guide the model's style or continue a previous audio segment.
Temperature
 temperature float

The sampling temperature.

Returns

Name Path Type Description
Text
 text string

The text.

Create translation

Operation ID:
AudioTranslationPost

Translates audio into English.

Parameters

Name Key Required Type Description
File
 file True file

The audio file object to translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
Model
 model True string

ID of the model to use.
Prompt
 prompt string

Text to guide the model's style or continue a previous audio segment.
Temperature
 temperature float

The sampling temperature.

Returns

Name Path Type Description
Text
 text string

The text.

Edit Prompt [DEPRECATED]

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.