import * as $dara from '@darabonba/typescript';
export declare class SubmitAIAgentVideoAuditTaskRequestCallbackConfig extends $dara.Model {
    /**
     * @remarks
     * The authentication token for callback.
     *
     * @example
     * Bearer Token
     */
    token?: string;
    /**
     * @remarks
     * The URL for receiving callback notifications.
     *
     * @example
     * https://yourcallback
     */
    url?: string;
    static names(): {
        [key: string]: string;
    };
    static types(): {
        [key: string]: any;
    };
    validate(): void;
    constructor(map?: {
        [key: string]: any;
    });
}
export declare class SubmitAIAgentVideoAuditTaskRequestCapturePolicies extends $dara.Model {
    /**
     * @remarks
     * The duration over which to capture the specified number of frames. Unit: seconds.
     *
     * @example
     * 10
     */
    duration?: number;
    /**
     * @remarks
     * The number of frames to capture.
     *
     * @example
     * 2
     */
    frameCount?: number;
    /**
     * @remarks
     * The text prompt to send to the MLLM along with the captured frames.
     */
    prompt?: string;
    /**
     * @remarks
     * The timestamp in the video at which to start capturing frames. Unit: seconds.
     *
     * @example
     * 0
     */
    startTime?: number;
    static names(): {
        [key: string]: string;
    };
    static types(): {
        [key: string]: any;
    };
    validate(): void;
    constructor(map?: {
        [key: string]: any;
    });
}
export declare class SubmitAIAgentVideoAuditTaskRequestInput extends $dara.Model {
    /**
     * @remarks
     * The OSS URL of the input file. Format:
     *
     * http(s)://{BucketName}.{Endpoint}/{ObjectName}
     *
     * @example
     * http://my-bucket.cn-shanghai.aliyuncs.com/object-id.mp4
     */
    media?: string;
    /**
     * @remarks
     * The type of the input file. Valid values:
     *
     * *   OSS: an OSS object.
     *
     * @example
     * OSS
     */
    type?: string;
    static names(): {
        [key: string]: string;
    };
    static types(): {
        [key: string]: any;
    };
    validate(): void;
    constructor(map?: {
        [key: string]: any;
    });
}
export declare class SubmitAIAgentVideoAuditTaskRequest extends $dara.Model {
    /**
     * @remarks
     * The ID of the AI agent.
     *
     * This parameter is required.
     *
     * @example
     * *******3b3d94abda22******
     */
    AIAgentId?: string;
    /**
     * @remarks
     * The interval, in milliseconds, at which to submit captured frames to the AI agent. Valid values: 0 to 5000. Default value: 3000. If it is set to 0, all captured frames are sent to the model in a single batch request. Otherwise, frames are sent sequentially with the specified interval between each request.
     *
     * @example
     * 3000
     */
    auditInterval?: number;
    /**
     * @remarks
     * Callback configurations.
     *
     * @example
     * {"Url":"https://yourcallback","Token":"yourtoken"}
     */
    callbackConfig?: SubmitAIAgentVideoAuditTaskRequestCallbackConfig;
    /**
     * @remarks
     * An array of frame-capturing policies. Each policy defines a set of frames to be analyzed and will generate a separate result from the model.
     *
     * This parameter is required.
     */
    capturePolicies?: SubmitAIAgentVideoAuditTaskRequestCapturePolicies[];
    /**
     * @remarks
     * The details of the input file.
     *
     * This parameter is required.
     */
    input?: SubmitAIAgentVideoAuditTaskRequestInput;
    /**
     * @remarks
     * The user-defined data.
     */
    userData?: string;
    static names(): {
        [key: string]: string;
    };
    static types(): {
        [key: string]: any;
    };
    validate(): void;
    constructor(map?: {
        [key: string]: any;
    });
}