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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.Serializable
import kotlinx.serialization.SerialName
import kotlinx.serialization.Contextual
import kotlin.js.JsName
import kotlinx.serialization.json.*

/**
* Describes an OpenAI model offering that can be used with the API.
*
    * @param id The model identifier, which can be referenced in the API endpoints.
    * @param created The Unix timestamp (in seconds) when the model was created.
    * @param `object` The object type, which is always \"model\".
    * @param ownedBy The organization that owns the model.
*/
@Serializable


data class Model (
        /* The model identifier, which can be referenced in the API endpoints. */
    @SerialName(value = "id") val id: kotlin.String,
        /* The Unix timestamp (in seconds) when the model was created. */
    @SerialName(value = "created") val created: kotlin.Int,
        /* The object type, which is always \"model\". */
    @SerialName(value = "object") val `object`: Model.`Object`,
        /* The organization that owns the model. */
    @SerialName(value = "owned_by") val ownedBy: kotlin.String
) {

            /**
            * The object type, which is always \"model\".
            *
            * Values: model
            */
            @Serializable
            enum class `Object`(val value: kotlin.String) {
                @SerialName(value = "model") model("model");
                }
}