All Implemented Interfaces:


public final class EmbeddingCreateParams

Creates an embedding vector representing the input text.

Nested Class Summary

Nested Classes
Modifier and Type	Class	Description
`public final class`	`EmbeddingCreateParams.EmbeddingCreateBody`
`public final class`	`EmbeddingCreateParams.Builder`
`public final class`	`EmbeddingCreateParams.Input`	Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. Example Python code for counting tokens.
`public final class`	`EmbeddingCreateParams.EncodingFormat`

Field Summary

Fields
Modifier and Type	Field	Description

Constructor Summary

Constructors
Constructor	Description
`EmbeddingCreateParams(EmbeddingCreateParams.EmbeddingCreateBody body, Headers additionalHeaders, QueryParams additionalQueryParams)`

Enum Constant Summary

Enum Constants
Enum Constant	Description

Method Summary

Modifier and Type	Method	Description
`final EmbeddingCreateParams.Input`	`input()`	Input text to embed, encoded as a string or array of tokens.
`final EmbeddingModel`	`model()`	ID of the model to use.
`final Optional<Long>`	`dimensions()`	The number of dimensions the resulting output embeddings should have.
`final Optional<EmbeddingCreateParams.EncodingFormat>`	`encodingFormat()`	The format to return the embeddings in.
`final Optional<String>`	`user()`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
`final JsonField<EmbeddingCreateParams.Input>`	`_input()`	Input text to embed, encoded as a string or array of tokens.
`final JsonField<EmbeddingModel>`	`_model()`	ID of the model to use.
`final JsonField<Long>`	`_dimensions()`	The number of dimensions the resulting output embeddings should have.
`final JsonField<EmbeddingCreateParams.EncodingFormat>`	`_encodingFormat()`	The format to return the embeddings in.
`final JsonField<String>`	`_user()`	A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
`final Map<String, JsonValue>`	`_additionalBodyProperties()`
`final Headers`	`_additionalHeaders()`
`final QueryParams`	`_additionalQueryParams()`
`final EmbeddingCreateParams.Builder`	`toBuilder()`
`Boolean`	`equals(Object other)`
`Integer`	`hashCode()`
`String`	`toString()`
`final static EmbeddingCreateParams.Builder`	`builder()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - EmbeddingCreateParams
```
EmbeddingCreateParams(EmbeddingCreateParams.EmbeddingCreateBody body, Headers additionalHeaders, QueryParams additionalQueryParams)
```
- Method Detail
  - input
```
 final EmbeddingCreateParams.Input input()
```
    Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for text-embedding-ada-002), cannot be an empty string, and any array must be 2048 dimensions or less. Example Python code for counting tokens.
  - model
```
 final EmbeddingModel model()
```
    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.
  - dimensions
```
 final Optional<Long> dimensions()
```
    The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.
  - encodingFormat
```
 final Optional<EmbeddingCreateParams.EncodingFormat> encodingFormat()
```
    The format to return the embeddings in. Can be either float or base64.
  - user
```
 final Optional<String> user()
```
    A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.
  - _input
```
 final JsonField<EmbeddingCreateParams.Input> _input()
```
    Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for text-embedding-ada-002), cannot be an empty string, and any array must be 2048 dimensions or less. Example Python code for counting tokens.
  - _model
```
 final JsonField<EmbeddingModel> _model()
```
    ID of the model to use. You can use the List models API to see all of your available models, or see our Model overview for descriptions of them.
  - _dimensions
```
 final JsonField<Long> _dimensions()
```
    The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.
  - _encodingFormat
```
 final JsonField<EmbeddingCreateParams.EncodingFormat> _encodingFormat()
```
    The format to return the embeddings in. Can be either float or base64.
  - _user
```
 final JsonField<String> _user()
```
    A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.
  - _additionalBodyProperties
```
 final Map<String, JsonValue> _additionalBodyProperties()
```
  - _additionalHeaders
```
 final Headers _additionalHeaders()
```
  - _additionalQueryParams
```
 final QueryParams _additionalQueryParams()
```
  - toBuilder
```
 final EmbeddingCreateParams.Builder toBuilder()
```
  - equals
```
 Boolean equals(Object other)
```
  - hashCode
```
 Integer hashCode()
```
  - toString
```
 String toString()
```
  - builder
```
 final static EmbeddingCreateParams.Builder builder()
```

Class EmbeddingCreateParams

Nested Class Summary

Field Summary

Constructor Summary

Enum Constant Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

EmbeddingCreateParams

Method Detail

input

model

dimensions

encodingFormat

user

_input

_model

_dimensions

_encodingFormat

_user

_additionalBodyProperties

_additionalHeaders

_additionalQueryParams

toBuilder

equals

hashCode

toString

builder