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

/**
* For fine-tuning jobs that have `failed`, this will contain more information on the cause of the failure.
*
    * @param code A machine-readable error code.
    * @param message A human-readable error message.
    * @param `param` The parameter that was invalid, usually `training_file` or `validation_file`. This field will be null if the failure was not parameter-specific.
*/
@Serializable


data class FineTuningJobError (
        /* A machine-readable error code. */
    @SerialName(value = "code") val code: kotlin.String,
        /* A human-readable error message. */
    @SerialName(value = "message") val message: kotlin.String,
        /* The parameter that was invalid, usually `training_file` or `validation_file`. This field will be null if the failure was not parameter-specific. */
    @SerialName(value = "param") val `param`: kotlin.String?
) {

}