/**
 * Recording and replay LLM providers for regression testing.
 *
 * RecordingLLMProvider wraps any real provider and captures every request/response
 * pair into an in-memory transcript.  ReplayLLMProvider takes a saved transcript
 * and returns the recorded responses in order — no network calls needed.
 *
 * These are test-only implementations and must not be registered with the
 * production provider registry.
 */
import type { LLMCompletionOptions, LLMCompletionResult } from '../../types/llm.types.js';
import { BaseLLMProvider } from '../provider.interface.js';
export interface TranscriptEntry {
    request: LLMCompletionOptions;
    response: LLMCompletionResult;
}
/**
 * Wraps a real LLMProvider and records every complete() call.
 * After execution, retrieve the transcript with getTranscript().
 */
export declare class RecordingLLMProvider extends BaseLLMProvider {
    private readonly inner;
    get name(): string;
    private readonly transcript;
    constructor(inner: BaseLLMProvider);
    complete(options: LLMCompletionOptions): Promise<LLMCompletionResult>;
    getAlternativeModels(currentModel?: string): string[];
    isConfigured(): boolean;
    streamComplete(options: LLMCompletionOptions, onChunk: (chunk: string) => void): Promise<LLMCompletionResult>;
    validateModel(modelName: string): Promise<boolean>;
    /** Returns a shallow copy of the recorded transcript. */
    getTranscript(): TranscriptEntry[];
}
/**
 * Replays a pre-recorded transcript in order.
 * Throws when the transcript is exhausted — a signal that the scenario
 * made more LLM calls than the baseline captured.
 */
export declare class ReplayLLMProvider extends BaseLLMProvider {
    private readonly transcript;
    name: string;
    private callIndex;
    constructor(transcript: TranscriptEntry[]);
    complete(_options: LLMCompletionOptions): Promise<LLMCompletionResult>;
    getAlternativeModels(): string[];
    isConfigured(): boolean;
    streamComplete(options: LLMCompletionOptions, onChunk: (chunk: string) => void): Promise<LLMCompletionResult>;
    validateModel(): Promise<boolean>;
}
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