import { LLM } from '../../agents/providers.js';
import type { CerebrasLLMModel } from './models.js';
/** Configuration options for the {@link CerebrasLLM} provider. */
export type CerebrasLLMOptions = {
    /** Cerebras API key. Falls back to the `CEREBRAS_API_KEY` env var. */
    apiKey?: string;
    /** Model ID. Default: `'llama3.3-70b'`. */
    model?: CerebrasLLMModel | string;
    /** Sampling temperature. Default: `0.7`. */
    temperature?: number;
    /** Tool-selection strategy, e.g. `'auto'`, `'none'`. Default: `'auto'`. */
    toolChoice?: string;
    /** Maximum number of completion tokens to generate. Default: `1024`. */
    maxCompletionTokens?: number;
    /** Nucleus sampling probability mass. Default: `null`. */
    topP?: number;
    /** Sampling seed for reproducible outputs. Default: `null`. */
    seed?: number;
    /** Stop sequence. Default: `null`. */
    stop?: string;
    /** Opaque end-user identifier. Default: `null`. */
    user?: string;
};
declare class CerebrasLLMImpl extends LLM {
    static readonly displayName = "CerebrasLLM";
    _providerName: string;
    apiKey?: string;
    model: string;
    temperature: number;
    maxOutputTokens: number;
    toolChoice: string | null;
    topP: number | null;
    seed: number | null;
    stop: string | null;
    user: string | null;
    constructor(opts?: CerebrasLLMOptions);
    getRuntimeConfig(): Record<string, any>;
}
export type CerebrasLLM = CerebrasLLMImpl;
/**
 * Cerebras large language model provider.
 *
 * Creates a configured Cerebras LLM provider for use in a voice agent.
 */
export declare const CerebrasLLM: (opts?: CerebrasLLMOptions) => CerebrasLLM;
export {};