import { LLMEvaluator, AgentRailsConfig } from "./types";
/**
 * OpenAI-based evaluator for agent responses
 */
export declare class OpenAIEvaluator<TInput = any, TOutput = any> implements LLMEvaluator<TInput, TOutput> {
    private client;
    private model;
    private temperature;
    constructor(config: AgentRailsConfig<TInput, TOutput>);
    evaluate(input: TInput, actualResponse: TOutput, expectedBehavior?: string, goodResponses?: string[], badResponses?: string[]): Promise<{
        passed: boolean;
        reasoning: string;
    }>;
}
/**
 * Anthropic Claude-based evaluator
 */
export declare class AnthropicEvaluator<TInput = any, TOutput = any> implements LLMEvaluator<TInput, TOutput> {
    private client;
    private model;
    private temperature;
    constructor(config: AgentRailsConfig<TInput, TOutput>);
    evaluate(input: TInput, actualResponse: TOutput, expectedBehavior?: string, goodResponses?: string[], badResponses?: string[]): Promise<{
        passed: boolean;
        reasoning: string;
    }>;
}
/**
 * Google Gemini-based evaluator
 */
export declare class GoogleEvaluator<TInput = any, TOutput = any> implements LLMEvaluator<TInput, TOutput> {
    private client;
    private model;
    private temperature;
    constructor(config: AgentRailsConfig<TInput, TOutput>);
    evaluate(input: TInput, actualResponse: TOutput, expectedBehavior?: string, goodResponses?: string[], badResponses?: string[]): Promise<{
        passed: boolean;
        reasoning: string;
    }>;
}
/**
 * Grok (xAI) evaluator - uses OpenAI-compatible API
 */
export declare class GrokEvaluator<TInput = any, TOutput = any> implements LLMEvaluator<TInput, TOutput> {
    private client;
    private model;
    private temperature;
    constructor(config: AgentRailsConfig<TInput, TOutput>);
    evaluate(input: TInput, actualResponse: TOutput, expectedBehavior?: string, goodResponses?: string[], badResponses?: string[]): Promise<{
        passed: boolean;
        reasoning: string;
    }>;
}
/**
 * Factory function to create evaluator based on config
 */
export declare function createEvaluator<TInput = any, TOutput = any>(config: AgentRailsConfig<TInput, TOutput>): LLMEvaluator<TInput, TOutput>;
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