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Building applications with LLMs through composability in Kotlin
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/**
*
* 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)
}
}