import { LLM } from '../../agents/providers.js';
import type { SarvamAILLMModel } from './models.js';
/** Options for {@link SarvamAILLM}. */
export type SarvamAILLMOptions = {
    /** Sarvam AI API key. Defaults to the `SARVAM_API_KEY` environment variable. */
    apiKey?: string;
    /** Model id. Default `'sarvam-30b'`. */
    model?: SarvamAILLMModel | string;
    /** Sampling temperature; higher is more random. Default `0.7`. */
    temperature?: number;
    /** Tool-selection strategy. Default `'auto'`. */
    toolChoice?: string;
    /** Maximum number of tokens to generate. Default `1024`. */
    maxCompletionTokens?: number;
    /** Nucleus-sampling probability mass. Default `null` (provider default). */
    topP?: number | null;
    /** Frequency penalty. Default `null`. */
    frequencyPenalty?: number | null;
    /** Presence penalty. Default `null`. */
    presencePenalty?: number | null;
    /** Random seed for reproducible sampling. Default `null`. */
    seed?: number | null;
    /** Stop sequence(s). Default `null`. */
    stop?: string | null;
    /** Stable end-user identifier. Default `null`. */
    user?: string | null;
    /** Allow parallel tool calls. Default `null` (provider default). */
    parallelToolCalls?: boolean | null;
    /** Structured-output response format. Default `null`. */
    responseFormat?: Record<string, any> | null;
    /** Reasoning effort hint. Default `null`. */
    reasoningEffort?: string;
    /** Enable wiki grounding. Default `false`. */
    wikiGrounding?: boolean;
    [key: string]: any;
};
declare class SarvamAILLMImpl extends LLM {
    static readonly displayName = "SarvamAILLM";
    _providerName: string;
    apiKey?: string;
    model: string;
    temperature: number;
    maxOutputTokens: number;
    toolChoice: string;
    topP: number | null;
    frequencyPenalty: number | null;
    presencePenalty: number | null;
    seed: number | null;
    stop: string | null;
    user: string | null;
    parallelToolCalls: boolean | null;
    responseFormat: Record<string, any> | null;
    reasoningEffort: string | null;
    wikiGrounding: boolean;
    constructor(opts?: SarvamAILLMOptions);
    getRuntimeConfig(): Record<string, any>;
}
export type SarvamAILLM = SarvamAILLMImpl;
/** Sarvam AI large language model (LLM). */
export declare const SarvamAILLM: (opts?: SarvamAILLMOptions) => SarvamAILLM;
export {};