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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.*

/**
* Text output from the Code Interpreter tool call as part of a run step.
*
    * @param index The index of the output in the outputs array.
    * @param type Always `logs`.
    * @param logs The text output from the Code Interpreter tool call.
*/
@Serializable


data class RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject (
        /* The index of the output in the outputs array. */
    @SerialName(value = "index") val index: kotlin.Int,
        /* Always `logs`. */
    @SerialName(value = "type") val type: RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject.Type,
        /* The text output from the Code Interpreter tool call. */
    @SerialName(value = "logs") val logs: kotlin.String? = null
) {

            /**
            * Always `logs`.
            *
            * Values: logs
            */
            @Serializable
            enum class Type(val value: kotlin.String) {
                @SerialName(value = "logs") logs("logs");
                }
}