commonMain.com.xebia.functional.openai.generated.model.RunObjectIncompleteDetails.kt Maven / Gradle / Ivy

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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.*

/**
* Details on why the run is incomplete. Will be `null` if the run is not incomplete.
*
    * @param reason The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run.
*/
@Serializable


data class RunObjectIncompleteDetails (
        /* The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run. */
    @SerialName(value = "reason") val reason: RunObjectIncompleteDetails.Reason? = null
) {

            /**
            * The reason why the run is incomplete. This will point to which specific token limit was reached over the course of the run.
            *
            * Values: completion_tokens,prompt_tokens
            */
            @Serializable
            enum class Reason(val value: kotlin.String) {
                @SerialName(value = "max_completion_tokens") completion_tokens("max_completion_tokens"),
                @SerialName(value = "max_prompt_tokens") prompt_tokens("max_prompt_tokens");
                }
}