/**
 * @file Implements the ContextBuilder class for creating rich evaluation context.
 */
import type { LanguageModelV3CallOptions } from "@ai-sdk/provider";
import type { EnhancedEvaluationContext, EvaluationResult, GenerateResult } from "../types/index.js";
/**
 * Builds the enhanced context required for a RAGAS-style evaluation.
 * This class gathers data from the generation options and results to create a
 * rich snapshot of the interaction, which is then used by the evaluator.
 */
export declare class ContextBuilder {
    private attemptNumber;
    private previousEvaluations;
    private extractTextFromContent;
    /**
     * Builds the full evaluation context for a single evaluation attempt.
     *
     * @param options The original `TextGenerationOptions` used for the request.
     * @param result The `GenerateResult` from the provider.
     * @returns An `EnhancedEvaluationContext` object ready for evaluation.
     */
    buildContext(options: LanguageModelV3CallOptions, result: GenerateResult): EnhancedEvaluationContext;
    /**
     * Records the result of an evaluation and increments the internal attempt counter.
     * This is used to build up the `previousEvaluations` array for subsequent retries.
     *
     * @param evaluation The `EvaluationResult` from the last attempt.
     */
    recordEvaluation(evaluation: EvaluationResult): void;
    /**
     * Resets the internal state of the context builder. This should be called
     * before starting a new, independent evaluation sequence.
     */
    reset(): void;
    /**
     * Analyzes the user's query to determine intent and complexity.
     * @param query The user's input query.
     * @returns A QueryIntentAnalysis object.
     */
    private analyzeQuery;
    /**
     * Maps the tool execution format from GenerateResult to the canonical ToolExecution type.
     * @param result The result from the generate call.
     * @returns An array of ToolExecution objects.
     */
    private mapToolExecutions;
}