Specs

create_embedding(any(), any(),
  openai_organization_key: String.t(),
  openai_api_key: String.t(),
  user: String.t(),
  stream_to: pid()
) :: {:ok, ExOpenAI.Components.CreateEmbeddingResponse.t()} | {:error, any()}

Creates an embedding vector representing the input text.

Endpoint: https://api.openai.com/v1/embeddings

Method: POST

Docs: https://platform.openai.com/docs/api-reference/embeddings

Required Arguments:

• 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. Each input must not exceed the max input tokens for the model (8191 tokens for text-embedding-ada-002). Example Python code for counting tokens.

• 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.

Optional Arguments:

• stream_to: PID of the process to stream content to

• user: A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. Learn more.

Example: "user-1234"

• openai_api_key: OpenAI API key to pass directly. If this is specified, it will override the api_key config value.

• openai_organization_key: OpenAI API key to pass directly. If this is specified, it will override the organization_key config value.