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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 com.xebia.functional.openai.generated.model.BatchRequestOutputError
import com.xebia.functional.openai.generated.model.BatchRequestOutputResponse



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

/**
* The per-line object of the batch output and error files
*
    * @param id 
    * @param customId A developer-provided per-request id that will be used to match outputs to inputs.
    * @param response 
    * @param error 
*/
@Serializable


data class BatchRequestOutput (
        @SerialName(value = "id") val id: kotlin.String? = null,
        /* A developer-provided per-request id that will be used to match outputs to inputs. */
    @SerialName(value = "custom_id") val customId: kotlin.String? = null,
        @SerialName(value = "response") val response: BatchRequestOutputResponse? = null,
        @SerialName(value = "error") val error: BatchRequestOutputError? = null
) {

}