Azure OpenAI

Reference

Azure OpenAI is a research organization that aims to develop and direct artificial intelligence (AI) in ways that benefit humanity as a whole.

Categories: [artificial-intelligence]

Version: 1

Connections

Version: 1

Bearer Token

Properties

Name	Type	Control Type	Description
Endpoint	STRING	TEXT
Token	STRING	TEXT

Actions

Ask

Ask anything you want.

Properties

Name	Type	Control Type	Description
Model	STRING	TEXT	Deployment name, written in string.
Messages	[{STRING(content), STRING(role)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.
Response Format	INTEGER	SELECT	In which format do you want the response to be in?
Response Schema	STRING	TEXT_AREA	Define the JSON schema for the response.
Max Tokens	INTEGER	INTEGER	The maximum number of tokens to generate in the chat completion.
Number of Chat Completion Choices	INTEGER	INTEGER	How many chat completion choices to generate for each input message.
Temperature	NUMBER	NUMBER	Controls randomness: Higher values will make the output more random, while lower values like will make it more focused and deterministic.
Frequency Penalty	NUMBER	NUMBER	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.
Presence Penalty	NUMBER	NUMBER	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.
Logit Bias	{}	OBJECT_BUILDER	Modify the likelihood of specified tokens appearing in the completion.
Top P	NUMBER	NUMBER	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.
Stop	[STRING]	ARRAY_BUILDER	Up to 4 sequences where the API will stop generating further tokens.
Functions	[STRING]	ARRAY_BUILDER	Enter the names of functions you want to use.
User	STRING	TEXT	A unique identifier representing your end-user, which can help admins to monitor and detect abuse.

Create Image

Create an image using text-to-image models

Properties

Name	Type	Control Type	Description
Model	STRING	SELECT	The model to use for image generation.
Messages	[{STRING(content), NUMBER(weight)}]	ARRAY_BUILDER	A list of messages comprising the conversation so far.
Size	{}	SELECT	The size of the generated images.
Number of Responses	INTEGER	INTEGER	The number of images to generate. Must be between 1 and 10. For dall-e-3, only n=1 is supported..
Response Format	STRING	SELECT	The format in which the generated images are returned.
Style	STRING	SELECT	The style of the generated images. Must be one of vivid or natural. Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images. This parameter is only supported for dall-e-3.
User	STRING	TEXT	A unique identifier representing your end-user, which can help admins to monitor and detect abuse.

Output

Type: OBJECT

Properties

Type	Control Type
INTEGER	INTEGER
[{STRING(url), STRING(b64Json), STRING(revisedPrompt)}]	ARRAY_BUILDER

Create Transcriptions

Transcribes audio into the input language.

Properties

Name	Type	Control Type	Description
File	FILE_ENTRY	FILE_ENTRY	The audio file object to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
Model	STRING	SELECT	ID of the model to use.
Language	STRING	SELECT	The language of the input audio.
Prompt	STRING	TEXT	An optional text to guide the model’s style or continue a previous audio segment. The prompt should match the audio language.
Response Format	{}	SELECT	The format of the transcript output
Temperature	NUMBER	NUMBER	The sampling temperature, between 0 and 1. Higher values like will make the output more random, while lower values will make it more focused and deterministic.