import Anthropic, { type ClientOptions } from '@anthropic-ai/sdk';
import { Model, type BaseModelConfig, type CountTokensOptions, type StreamOptions } from '../models/model.js';
import type { Message } from '../types/messages.js';
import type { ModelStreamEvent } from '../models/streaming.js';
export interface AnthropicModelConfig extends BaseModelConfig {
    /**
     * Maximum number of tokens the model can generate in a response.
     *
     * @defaultValue 64000 — subject to change between versions.
     * Set this explicitly to avoid unexpected changes.
     */
    maxTokens?: number;
    stopSequences?: string[];
    params?: Record<string, unknown>;
    /**
     * Beta features to enable via the `anthropic-beta` header.
     *
     * No header is sent by default. Provide a list of beta identifiers to opt into
     * features such as `interleaved-thinking-2025-05-14` or `mcp-client-2025-11-20`.
     *
     * @see https://docs.anthropic.com/en/api/beta-headers
     */
    betas?: string[];
    /**
     * Whether to use the native Anthropic countTokens API.
     *
     * When `true`, `countTokens()` calls the Anthropic token counting API for
     * accurate counts. When `false` or not set (default), skips the API call and uses
     * the character-based heuristic estimator.
     *
     * @defaultValue false
     */
    useNativeTokenCount?: boolean;
}
export interface AnthropicModelOptions extends AnthropicModelConfig {
    apiKey?: string;
    client?: Anthropic;
    clientConfig?: ClientOptions;
}
export declare class AnthropicModel extends Model<AnthropicModelConfig> {
    private _config;
    private _client;
    constructor(options?: AnthropicModelOptions);
    updateConfig(modelConfig: AnthropicModelConfig): void;
    getConfig(): AnthropicModelConfig;
    /**
     * Count tokens using Anthropic's native countTokens API.
     *
     * Uses the same message format as the Messages API to get accurate token counts
     * directly from the Anthropic service. Falls back to the base class heuristic on failure.
     *
     * @param messages - Array of conversation messages to count tokens for
     * @param options - Optional options containing system prompt and tool specs
     * @returns Total input token count
     */
    countTokens(messages: Message[], options?: CountTokensOptions): Promise<number>;
    stream(messages: Message[], options?: StreamOptions): AsyncIterable<ModelStreamEvent>;
    private _buildRequestOptions;
    private _formatRequest;
    private _formatMessages;
    private _isCacheableBlock;
    private _formatContentBlock;
    private _mapStopReason;
}
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