embeddings_create_request: API embeddings: create embeddings

Description

Creates an embedding vector representing the input text. To get more details, visit https://platform.openai.com/docs/api-reference/embeddings/create https://platform.openai.com/docs/guides/embeddings

Usage

embeddings_create_request(
  input,
  model,
  encoding_format = NULL,
  user = NULL,
  api_key = api_get_key()
)

Value

content of the httr response object or SimpleError (conditions) enhanced with two additional fields: `status_code` (response$status_code) and `message_long` (built on response content)

Arguments

input: character vector, 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.
model: string, ID of the model to use. You can use the list models API (https://platform.openai.com/docs/api-reference/models/list) to see all of your available models, or see our model overview (https://platform.openai.com/docs/models/overview) for descriptions of them.
encoding_format: string, he format to return the embeddings in. Can be either float (default) or base64.
user: string, a unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. To learn more visit https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids
api_key: string, OpenAI API key (see https://platform.openai.com/account/api-keys)