import * as z from "zod/v4";
import { ApiEndpoint } from "./apiendpoint.js";
import { BatchRequest, BatchRequest$Outbound } from "./batchrequest.js";
export type CreateBatchJobRequest = {
    /**
     * A list of `.jsonl` files for batch inference.
     *
     * @remarks
     * Each line must be a JSON object with a `body` field containing the request payload:
     * ```json
     * {"custom_id": "0", "body": {"max_tokens": 100, "messages": [{"role": "user", "content": "What is the best French cheese?"}]}}
     * {"custom_id": "1", "body": {"max_tokens": 100, "messages": [{"role": "user", "content": "What is the best French wine?"}]}}
     * ```
     */
    inputFiles?: Array<string> | null | undefined;
    requests?: Array<BatchRequest> | null | undefined;
    endpoint: ApiEndpoint;
    /**
     * The model to be used for batch inference.
     */
    model?: string | null | undefined;
    /**
     * In case you want to use a specific agent from the **deprecated** agents api for batch inference, you can specify the agent ID here.
     */
    agentId?: string | null | undefined;
    /**
     * The metadata of your choice to be associated with the batch inference job.
     */
    metadata?: {
        [k: string]: string;
    } | null | undefined;
    /**
     * The timeout in hours for the batch inference job.
     */
    timeoutHours?: number | undefined;
};
/** @internal */
export type CreateBatchJobRequest$Outbound = {
    input_files?: Array<string> | null | undefined;
    requests?: Array<BatchRequest$Outbound> | null | undefined;
    endpoint: string;
    model?: string | null | undefined;
    agent_id?: string | null | undefined;
    metadata?: {
        [k: string]: string;
    } | null | undefined;
    timeout_hours: number;
};
/** @internal */
export declare const CreateBatchJobRequest$outboundSchema: z.ZodType<CreateBatchJobRequest$Outbound, CreateBatchJobRequest>;
export declare function createBatchJobRequestToJSON(createBatchJobRequest: CreateBatchJobRequest): string;
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