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

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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.*

/**
* An optional field that will only be present when you set `stream_options: {\"include_usage\": true}` in your request. When present, it contains a null value except for the last chunk which contains the token usage statistics for the entire request. 
*
    * @param completionTokens Number of tokens in the generated completion.
    * @param promptTokens Number of tokens in the prompt.
    * @param totalTokens Total number of tokens used in the request (prompt + completion).
*/
@Serializable


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

}