import { NanogptModel } from "../providers/nanogpt.js";
import { ConfigManager } from "../config-manager.js";
/**
 * API response structure from NanoGPT models endpoint
 */
interface ApiModel {
    id: string;
    name?: string;
    context_length?: number;
    max_output_tokens?: number;
    capabilities?: {
        reasoning?: boolean;
        vision?: boolean;
    };
    pricing?: {
        prompt: number;
        completion: number;
        currency?: string;
        unit?: string;
    };
    created?: number;
}
/**
 * Custom error class for NanoGPT API errors
 */
export declare class NanogptApiError extends Error {
    statusCode?: number | undefined;
    code: string;
    constructor(message: string, statusCode?: number | undefined, code?: string);
}
/**
 * Fetches available models from the NanoGPT API.
 *
 * @param apiKey - The NanoGPT API key for authentication
 * @returns Promise resolving to an array of NanogptModel objects
 * @throws NanogptApiError if the request fails
 */
export declare function fetchModels(apiKey: string): Promise<NanogptModel[]>;
/**
 * Transforms an API model response into the OpenCode NanogptModel format.
 *
 * @param apiModel - The raw model data from the NanoGPT API
 * @returns A NanogptModel object configured for OpenCode
 */
export declare function transformApiModel(apiModel: ApiModel): NanogptModel;
/**
 * Fetches models from the NanoGPT API and updates the configuration file.
 *
 * @param configManager - ConfigManager instance for surgical config edits
 * @param filePath - Path to the OpenCode configuration file
 * @param apiKey - The NanoGPT API key for authentication
 * @throws NanogptApiError if the API request fails
 * @throws Error if config update fails
 */
export declare function updateModelsFromApi(configManager: ConfigManager, filePath: string, apiKey: string): Promise<void>;
export {};
//# sourceMappingURL=nanogpt.d.ts.map