@h-lumos/llm-sdk/dist-types/spark/index.d.ts

通用大模型 SDK

import { APIClient, DefaultQuery, Fetch, Headers } from 'openai/core';

import * as API from './resources';
export interface SparkAIOptions {
    baseURL?: string;
    appId?: string;
    apiKey?: string;
    apiSecret?: string;
    timeout?: number | undefined;
    httpAgent?: unknown;
    fetch?: Fetch | undefined;
    /**
     * Default headers to include with every request to the API.
     *
     * These can be removed in individual requests by explicitly setting the
     * header to `undefined` or `null` in request options.
     */
    defaultHeaders?: Headers;
    /**
     * Default query parameters to include with every request to the API.
     *
     * These can be removed in individual requests by explicitly setting the
     * param to `undefined` in request options.
     */
    defaultQuery?: DefaultQuery;
}
export declare class SparkAI extends APIClient {
    appId: string;
    protected apiKey: string;
    protected apiSecret: string;
    private _options;
    constructor(options?: SparkAIOptions);
    chat: API.Chat;
    images: API.Images;
    protected defaultQuery(): DefaultQuery | undefined;
    /**
     * @param url - 需要签名的 URL
     * @param method - HTTP method
     * @returns 签名后的 URL
     */
    generateAuthorizationURL(url: string | URL, method?: string): string;
    /**
     * 生成鉴权信息
     *
     * See https://www.xfyun.cn/doc/spark/general_url_authentication.html
     */
    generateAuthorization({ method, host, path, date }: {
        method: string;
        host: string;
        path: string;
        date: string;
    }): string;
    protected hash(data: string): string;
}
export declare namespace SparkAI {
    type Chat = API.Chat;
    type ChatModel = API.ChatModel;
    type ChatCompletionCreateParams = API.ChatCompletionCreateParams;
    type ChatCompletionCreateParamsNonStreaming = API.ChatCompletionCreateParamsNonStreaming;
    type ChatCompletionCreateParamsStreaming = API.ChatCompletionCreateParamsStreaming;
}
export default SparkAI;