Specs

create_edit(String.t(), any(),
  openai_organization_key: String.t(),
  openai_api_key: String.t(),
  top_p: float(),
  temperature: float(),
  n: integer(),
  input: String.t(),
  stream_to: pid()
) :: {:ok, ExOpenAI.Components.CreateEditResponse.t()} | {:error, any()}

Creates a new edit for the provided input, instruction, and parameters.

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

Method: POST

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

Required Arguments:

• instruction: The instruction that tells the model how to edit the prompt.

Example: Fix the spelling mistakes.

• model: ID of the model to use. You can use the text-davinci-edit-001 or code-davinci-edit-001 model with this endpoint.

Optional Arguments:

• stream_to: PID of the process to stream content to

• input: The input text to use as a starting point for the edit.

Example: "What day of the wek is it?"

• n: How many edits to generate for the input and instruction.

Example: 1

• temperature: What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.

We generally recommend altering this or top_p but not both.

Example: 1

• top_p: 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.

We generally recommend altering this or temperature but not both.

Example: 1

• 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.