/**
 * BenchAgent - Core agent for running benchmarks using Vercel AI SDK
 *
 * Supports multiple providers: OpenAI, Anthropic, Google, xAI, Mistral, Groq
 * Provides LLM interaction with retry logic, token tracking, and cost calculation.
 */
import { TokenUsage, CostInfo } from './cost-tracker';
import { ProviderName } from './providers';
export interface AgentConfig {
    name?: string;
    model?: string;
    provider?: ProviderName;
    instructions?: string;
    maxRetries?: number;
    timeout?: number;
}
export interface TestResult {
    test_name: string;
    prompt: string;
    response: string | null;
    model: string;
    provider: ProviderName;
    agent_name: string;
    execution_time: number;
    status: 'success' | 'error';
    error?: string;
    retry_attempts?: number;
    timestamp: string;
    token_usage?: TokenUsage;
    cost?: CostInfo;
}
/**
 * A multi-provider agent wrapper for running LLM benchmarks.
 * Supports OpenAI, Anthropic, Google, xAI, Mistral, Groq via Vercel AI SDK.
 */
export declare class BenchAgent {
    private name;
    private modelString;
    private provider;
    private instructions;
    private maxRetries;
    constructor(config?: AgentConfig);
    /**
     * Get the model name.
     */
    getModel(): string;
    /**
     * Get the provider name.
     */
    getProvider(): ProviderName;
    /**
     * Get the agent name.
     */
    getName(): string;
    /**
     * Get full model identifier (provider/model).
     */
    getFullModelId(): string;
    /**
     * Run a single benchmark test with retry logic.
     */
    runTest(prompt: string, testName?: string): Promise<TestResult>;
    /**
     * Run multiple benchmark tests.
     */
    runMultipleTests(tests: Array<{
        prompt: string;
        name?: string;
    }>): Promise<TestResult[]>;
    private extractTokenUsage;
    private calculateCost;
    private createErrorResult;
    private sleep;
}
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