import type { ModelMessage } from 'ai';
import type { TestCaseResult } from '../types/testCaseResult.js';
interface LlmJudgePresetOptions {
    buildPrompt?: (context: {
        prompt: string;
        testCase: {
            id: string;
            input?: string;
            output?: string;
        };
    }) => string | ModelMessage[];
    test: (context: {
        testCase: {
            id: string;
            input?: string;
            output?: string;
        };
        result: {
            output: string;
        };
    }) => Partial<TestCaseResult> | Promise<Partial<TestCaseResult>>;
}
/**
 * A preset judge function for running and testing a user prompt in LLM.
 *
 * @example
 * Create `judge.ts`:
 * ```ts
 * import { llmJudgePreset } from '@exercode/problem-utils/presets/llm';
 * import { DecisionCode } from '@exercode/problem-utils';
 *
 * await llmJudgePreset(import.meta.dirname, {
 *   test: (context) {
 *     return { decisionCode: context.result.output ? DecisionCode.ACCEPTED : DecisionCode.WRONG_ANSWER };
 *   }
 * });
 * ```
 *
 * Run with the required parameters:
 * ```bash
 * bun judge.ts model_answers/java '{ "model": "gemini-2.5-flash-lite" }'
 * ```
 */
export declare function llmJudgePreset(problemDir: string, options: LlmJudgePresetOptions): Promise<void>;
export {};