import { LLM } from '../../agents/providers.js';
import type { GoogleLLMModel } from './models.js';
/** Configuration options for the Google Gemini LLM provider. */
export type GoogleLLMOptions = {
    /** Google AI (Gemini) API key. Falls back to the `GOOGLE_API_KEY` environment variable, then `null`. Not used for Vertex AI auth. */
    apiKey?: string | null;
    /** Gemini model id. Default `'gemini-2.5-flash-lite'`. */
    model?: GoogleLLMModel | string;
    /** Sampling temperature controlling randomness. Default `0.7`. */
    temperature?: number;
    /** Maximum number of tokens to generate in the response. Default `8192`. */
    maxOutputTokens?: number;
    /** Token budget for Gemini "thinking" (reasoning). `0` disables thinking. Default `0`. */
    thinkingBudget?: number | null;
    /** Whether to include the model's thought/reasoning content in responses. Default `false`. */
    includeThoughts?: boolean;
    /** Gemini safety/content-filter settings, as an array of category/threshold maps. Default `null` (provider defaults). */
    safetySettings?: Array<Record<string, string>> | null;
    /** Nucleus sampling probability mass. Default `null` (model default). */
    topP?: number | null;
    /** Top-K sampling cutoff. Default `null` (model default). */
    topK?: number | null;
    /** Presence penalty discouraging repeated topics. Default `null` (model default). */
    presencePenalty?: number | null;
    /** Frequency penalty discouraging repeated tokens. Default `null` (model default). */
    frequencyPenalty?: number | null;
    /** Seed for reproducible sampling. Default `null` (non-deterministic). */
    seed?: number | null;
    /** Route requests through Vertex AI instead of the Gemini API. When `true`, `projectId` is required. Default `false`. */
    vertexai?: boolean;
    /** Google Cloud project id for Vertex AI auth. Required when `vertexai` is `true`; falls back to `GOOGLE_CLOUD_PROJECT`. Default `null`. */
    projectId?: string | null;
    /** Vertex AI region. Default `'us-central1'`. Only used when `vertexai` is `true`. */
    location?: string;
    /** Vertex AI service-account credentials, as a JSON string or parsed object. Used when `vertexai` is `true`. Default `null`. */
    serviceAccountJson?: string | Record<string, any> | null;
    /** Path to a Vertex AI service-account JSON file. Used when `vertexai` is `true`; falls back to `GOOGLE_APPLICATION_CREDENTIALS`. Default `null`. */
    serviceAccountPath?: string | null;
    /** Additional/forward-compatible options. Unrecognized keys are ignored by the provider. */
    [key: string]: any;
};
declare class GoogleLLMImpl extends LLM {
    static readonly displayName = "GoogleLLM";
    _providerName: string;
    apiKey: string | null;
    model: string;
    temperature: number;
    maxOutputTokens: number;
    thinkingBudget: number | null;
    includeThoughts: boolean;
    safetySettings: Array<Record<string, string>> | null;
    topP: number | null;
    topK: number | null;
    presencePenalty: number | null;
    frequencyPenalty: number | null;
    seed: number | null;
    vertexProjectId: string | null;
    vertexLocation: string | null;
    vertexServiceAccountJson: string | null;
    vertexServiceAccountPath: string | null;
    constructor(opts?: GoogleLLMOptions);
    getRuntimeConfig(): Record<string, any>;
}
/** A configured Google Gemini LLM provider instance. */
export type GoogleLLM = GoogleLLMImpl;
/**
 * Google Gemini LLM provider.
 *
 * Supports both the Gemini API (via `apiKey`) and Vertex AI (set `vertexai: true`
 * with `projectId` and service-account credentials).
 */
export declare const GoogleLLM: (opts?: GoogleLLMOptions) => GoogleLLM;
export {};