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1.  final def !=(arg0: Any): Boolean

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2.  final def ##: Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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6.  def createEdit(body: CreateEditRequest): ZIO[Any, OpenAIFailure, CreateEditResponse]

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

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

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7.  def createEdit(model: String, input: Optional[String] = Optional.Absent, instruction: String, n: Optional[N] = Optional.Absent, temperature: Optional[Temperature] = Optional.Absent, topP: Optional[TopP] = Optional.Absent): ZIO[Any, OpenAIFailure, CreateEditResponse]

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

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

   model

   ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models/overview) for descriptions of them.

   input

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

   instruction

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

   n

   How many edits to generate for the input and instruction.

   temperature

   What [sampling temperature](https://towardsdatascience.com/how-to-sample-from-language-models-682bceb97277) to use. Higher values means the model will take more risks. Try 0.9 for more creative applications, and 0 (argmax sampling) for ones with a well-defined answer. We generally recommend altering this or top_p but not both.

   topP

   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.

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8.  final def eq(arg0: AnyRef): Boolean

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9.  def equals(arg0: AnyRef): Boolean

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10.  def finalize(): Unit

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11.  final def getClass(): Class[_ <: AnyRef]

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12.  def hashCode(): Int

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13.  final def isInstanceOf[T0]: Boolean

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14.  final def ne(arg0: AnyRef): Boolean

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15.  final def notify(): Unit

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16.  final def notifyAll(): Unit

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17.  final def synchronized[T0](arg0: => T0): T0

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18.  def toString(): String

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19.  final def wait(): Unit

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20.  final def wait(arg0: Long, arg1: Int): Unit

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21.  final def wait(arg0: Long): Unit

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