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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.CreateAssistantRequestToolResourcesCodeInterpreter
import com.xebia.functional.openai.generated.model.CreateThreadRequestToolResourcesFileSearch



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

/**
* A set of resources that are made available to the assistant's tools in this thread. The resources are specific to the type of tool. For example, the `code_interpreter` tool requires a list of file IDs, while the `file_search` tool requires a list of vector store IDs. 
*
    * @param codeInterpreter 
    * @param fileSearch 
*/
@Serializable


data class CreateThreadRequestToolResources (
        @SerialName(value = "code_interpreter") val codeInterpreter: CreateAssistantRequestToolResourcesCodeInterpreter? = null,
        @SerialName(value = "file_search") val fileSearch: CreateThreadRequestToolResourcesFileSearch? = null
) {

}