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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.*

/**
* Usage statistics related to the run. This value will be `null` if the run is not in a terminal state (i.e. `in_progress`, `queued`, etc.).
*
    * @param completionTokens Number of completion tokens used over the course of the run.
    * @param promptTokens Number of prompt tokens used over the course of the run.
    * @param totalTokens Total number of tokens used (prompt + completion).
*/
@Serializable


data class RunCompletionUsage (
        /* Number of completion tokens used over the course of the run. */
    @SerialName(value = "completion_tokens") val completionTokens: kotlin.Int,
        /* Number of prompt tokens used over the course of the run. */
    @SerialName(value = "prompt_tokens") val promptTokens: kotlin.Int,
        /* Total number of tokens used (prompt + completion). */
    @SerialName(value = "total_tokens") val totalTokens: kotlin.Int
) {

}