import { LLM } from '../../agents/providers.js';
import type { AnthropicLLMModel } from './models.js';
/** Configuration options for the {@link AnthropicLLM} provider. */
export type AnthropicLLMOptions = {
    /** Anthropic API key. Falls back to the `ANTHROPIC_API_KEY` env var. */
    apiKey?: string;
    /** Model ID to use. Default: `'claude-sonnet-4-20250514'`. */
    model?: AnthropicLLMModel | string;
    /** Sampling temperature. Range `0`-`1`. Default: `0.7`. */
    temperature?: number;
    /** Maximum number of tokens to generate in the response. Default: `1024`. */
    maxOutputTokens?: number;
    /** Nucleus sampling probability mass. Default: `null` (provider default). */
    topP?: number | null;
    /** Top-K sampling cutoff. Default: `null` (provider default). */
    topK?: number | null;
    /** Sequence(s) that stop generation when produced. Default: `null`. */
    stopSequences?: string[] | string | null;
    /** Extended-thinking token budget. Default: `null` (disabled). */
    thinkingBudget?: number | null;
    [key: string]: any;
};
declare class AnthropicLLMImpl extends LLM {
    static readonly displayName = "AnthropicLLM";
    _providerName: string;
    apiKey?: string;
    model: string;
    temperature: number;
    maxOutputTokens: number;
    topP: number | null;
    topK: number | null;
    stopSequences: string[] | string | null;
    thinkingBudget: number | null;
    constructor(opts?: AnthropicLLMOptions);
    getRuntimeConfig(): Record<string, any>;
}
export type AnthropicLLM = AnthropicLLMImpl;
/**
 * Anthropic (Claude) large language model provider.
 *
 * Creates a configured Anthropic LLM provider for use in a voice agent.
 */
export declare const AnthropicLLM: (opts?: AnthropicLLMOptions) => AnthropicLLM;
export {};