export declare enum OCRServiceId {
    common = "A100",
    idcard = "A104",
    bankcard = "A108",
    page = "A112",
    rmwatermark = "A115",
    seal = "A116",
    rmseal = "A117",
    table = "A118"
}
export interface OCRMinioParams {
    image?: string;
    url?: string;
    options?: {
        use_rotate: boolean;
    };
    modelStore?: number;
}
export interface OCRPvcBatchParams {
    confThres?: number;
    pages: IPageList[];
    modelStore?: number;
}
export interface IPageList {
    pagNo?: number;
    image?: string;
    textItems?: IBbox[];
}
export interface IBbox {
    bbox: [x: number, y: number][];
}
export interface OCRResult {
    words?: string;
    confidence?: number;
    box: [x: number, y: number][];
    type?: string;
    catagoryId?: string;
}
export interface OCRBatchResult {
    pages: IPageList[];
}
export interface DetectionParam {
    instances: [{
        image: {
            b64: string;
        };
    }];
}
export interface IDetectionResult {
    prediction: IPrediction[];
}
export interface IPrediction {
    box: [x: number, y: number][];
    label: string;
    score: number;
}
export declare enum IChatRole {
    User = "user",
    Assistant = "assistant",
    System = "system"
}
export interface IChatHistory {
    role: string;
    content: any;
    created?: number;
    isLoading?: boolean;
    reasoningContent?: string;
    state?: string;
}
export interface IChatCompletion {
    model: string;
    messages: IChatHistory[];
    stream?: boolean;
    temperature: number;
    max_tokens?: number;
    top_p?: number;
    top_k?: number;
    repetition_penalty?: number;
}
export interface IChatResult {
    model: string;
    choices: {
        index: number;
        message: IChatHistory;
        finish_reason: string;
    }[];
    created?: number;
    usage: {
        prompt_tokens: number;
        completion_tokens: number;
        total_tokens: number;
    };
}
export interface IEmbedding {
    input: string[];
    model: string;
}
export interface IEmbeddingResult {
    data: {
        embeddings: number[];
        index: number;
        object: string;
    }[];
    model: string;
    object: string;
    score_weight: number;
    usage: {
        prompt_tokens: number;
        total_tokens: number;
    };
}