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Building applications with LLMs through composability in Kotlin

There is a newer version: 0.0.5-alpha.118

/**
 *
 * Please note:
 * This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
 * Do not edit this file manually.
 *
 */

@file:Suppress(
    "ArrayInDataClass",
    "EnumEntryName",
    "RemoveRedundantQualifierName",
    "UnusedImport"
)

package com.xebia.functional.openai.generated.model


import kotlinx.serialization.*
import kotlinx.serialization.builtins.*
import kotlinx.serialization.encoding.*
import kotlin.jvm.JvmStatic
import com.xebia.functional.openai.generated.model.CreateCompletionRequestModel.Supported.gpt_3_5_turbo_instruct
import com.xebia.functional.openai.generated.model.CreateCompletionRequestModel.Supported.davinci_002
import com.xebia.functional.openai.generated.model.CreateCompletionRequestModel.Supported.babbage_002


/**
 * 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. 
 */
// We define a serializer for the parent sum type, and then use it to serialize the child types
@Suppress("SERIALIZER_TYPE_INCOMPATIBLE")
@Serializable(with = CreateCompletionRequestModelSerializer::class)
sealed interface CreateCompletionRequestModel {
  val value: kotlin.String

  @Serializable(with = CreateCompletionRequestModelSerializer::class)
  enum class Supported(override val value: kotlin.String) : CreateCompletionRequestModel {
    @SerialName(value = "gpt-3.5-turbo-instruct") gpt_3_5_turbo_instruct("gpt-3.5-turbo-instruct"),@SerialName(value = "davinci-002") davinci_002("davinci-002"),@SerialName(value = "babbage-002") babbage_002("babbage-002");

    override fun toString(): kotlin.String = value
  }

  @Serializable(with = CreateCompletionRequestModelSerializer::class)
  data class Custom(override val value: kotlin.String) : CreateCompletionRequestModel

    companion object {
      @JvmStatic
      fun valueOf(value: kotlin.String): CreateCompletionRequestModel =
        values().firstOrNull { it.value == value } ?: Custom(value)

      
          inline val gpt_3_5_turbo_instruct: CreateCompletionRequestModel
            get() = Supported.gpt_3_5_turbo_instruct
      
          inline val davinci_002: CreateCompletionRequestModel
            get() = Supported.davinci_002
      
          inline val babbage_002: CreateCompletionRequestModel
            get() = Supported.babbage_002
      

      @JvmStatic fun values(): List = Supported.entries
    }
}

object CreateCompletionRequestModelSerializer : KSerializer {
    private val valueSerializer = kotlin.String.serializer()
    override val descriptor = valueSerializer.descriptor

    override fun deserialize(decoder: Decoder): CreateCompletionRequestModel {
        val value = decoder.decodeSerializableValue(valueSerializer)
        return CreateCompletionRequestModel.valueOf(value)
    }

    override fun serialize(encoder: Encoder, value: CreateCompletionRequestModel) {
        encoder.encodeSerializableValue(valueSerializer, value.value)
    }
}