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Building applications with LLMs through composability in Kotlin
/**
*
* 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");
}
}