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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 com.xebia.functional.openai.generated.model.RunStepDetailsToolCallsObjectToolCallsInner



import kotlinx.serialization.Serializable
import kotlinx.serialization.SerialName
import kotlinx.serialization.Contextual
import kotlin.js.JsName
import kotlinx.serialization.json.*

/**
* Details of the tool call.
*
    * @param type Always `tool_calls`.
    * @param toolCalls An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`. 
*/
@Serializable


data class RunStepDetailsToolCallsObject (
        /* Always `tool_calls`. */
    @SerialName(value = "type") val type: RunStepDetailsToolCallsObject.Type,
        /* An array of tool calls the run step was involved in. These can be associated with one of three types of tools: `code_interpreter`, `file_search`, or `function`.  */
    @SerialName(value = "tool_calls") val toolCalls: kotlin.collections.List
) {

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