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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.*

/**
* On an incomplete message, details about why the message is incomplete.
*
    * @param reason The reason the message is incomplete.
*/
@Serializable


data class MessageObjectIncompleteDetails (
        /* The reason the message is incomplete. */
    @SerialName(value = "reason") val reason: MessageObjectIncompleteDetails.Reason
) {

            /**
            * The reason the message is incomplete.
            *
            * Values: content_filter,max_tokens,run_cancelled,run_expired,run_failed
            */
            @Serializable
            enum class Reason(val value: kotlin.String) {
                @SerialName(value = "content_filter") content_filter("content_filter"),
                @SerialName(value = "max_tokens") max_tokens("max_tokens"),
                @SerialName(value = "run_cancelled") run_cancelled("run_cancelled"),
                @SerialName(value = "run_expired") run_expired("run_expired"),
                @SerialName(value = "run_failed") run_failed("run_failed");
                }
}