Style transform

Outputs a style transformation from the model for the input.

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

message

string

required

Input text to be styled. The token limit is 128k.

model

string

required

ID of the fine-tuned model to use.

temperature

number | null

default:

0

Sampling temperature, between 0 and 2. Higher values make output more random. 0 is recommended for most use cases.

Response

200 - application/json

choices

object[]

Show child attributes

choices.finish_reason

string

The reason why the generation stopped.

choices.index

integer

Index of the choice.

choices.message

object

Show child attributes

choices.message.content

string

The generated message content.

choices.message.role

string

Role of the message author.

created

integer

Unix timestamp for when the completion was created.

histogram_delta

object

Show child attributes

histogram_delta.sentence_length

object

Show child attributes

histogram_delta.sentence_length.euclidean_delta

number

The delta between the Euclidean distances of the input and transformed text compared to the training files of the fine tuned model, based on the histogram of sentence lengths.

histogram_delta.sentence_length.euclidean_delta_percent

number

The Euclidean delta as a percent.

histogram_delta.sentence_length.manhattan_delta

number

The delta between the Manhattan distances of the input and transformed text compared to the training files of the fine tuned model, based on the histogram of sentence lengths.

histogram_delta.sentence_length.manhattan_delta_percent

number

The Manhattan delta as a percent.

histogram_delta.sentence_length.personalized_euclidean_distance

number

The Euclidean distance between the transformed text and the training files of the fine tuned model, based on the histogram of sentence lengths.

histogram_delta.sentence_length.personalized_manhattan_distance

number

The Manhattan distance between the transformed text and the training files of the fine tuned model, based on the histogram of sentence lengths.

histogram_delta.sentence_length.unpersonalized_euclidean_distance

number

The Euclidean distance between the input text and the training files of the fine tuned model, based on the histogram of sentence lengths.

histogram_delta.sentence_length.unpersonalized_manhattan_distance

number

The Manhattan distance between the input text and the training files of the fine tuned model, based on the histogram of sentence lengths.

histogram_delta.vocab

object

Show child attributes

histogram_delta.vocab.euclidean_delta

number

The delta between the Euclidean distances of the input and transformed text compared to the training files of the fine tuned model, based on the histogram of words used (for the 100 most common English words).

histogram_delta.vocab.euclidean_delta_percent

number

The Euclidean delta as a percent.

histogram_delta.vocab.manhattan_delta

number

The delta between the Manhattan distances of the input and transformed text compared to the training files of the fine tuned model, based on the histogram of words used (for the 100 most common English words).

histogram_delta.vocab.manhattan_delta_percent

number

The Manhattan delta as a percent.

histogram_delta.vocab.personalized_euclidean_distance

number

The Euclidean distance between the transformed text and the training files of the fine tuned model, based on the histogram of words used (for the 100 most common English words).

histogram_delta.vocab.personalized_manhattan_distance

number

The Manhattan distance between the transformed text and the training files of the fine tuned model, based on the histogram of words used (for the 100 most common English words).

histogram_delta.vocab.unpersonalized_euclidean_distance

number

The Euclidean distance between the input text and the training files of the fine tuned model, based on the histogram of words used (for the 100 most common English words).

histogram_delta.vocab.unpersonalized_manhattan_distance

number

The Manhattan distance between the input text and the training files of the fine tuned model, based on the histogram of words used (for the 100 most common English words).

id

string

ID of the chat completion.

model

string

Model used for the completion.

object

string

Type of the object, always 'chat.completion'.

usage

object

Show child attributes

usage.completion_tokens

integer

Number of tokens in the completion.

usage.prompt_tokens

integer

Number of tokens in the prompt.

usage.total_tokens

integer

Total number of tokens used.