import { type MessageData } from '../../types/messages.js';
import type { Model } from '../../models/model.js';
import type { ExtractionResult, Extractor, ExtractorContext } from './types.js';
/** Options for {@link ModelExtractor}. */
export interface ModelExtractorOptions {
    /** Model used to extract facts. Defaults to the agent's own model; set a cheaper one to cut cost. */
    model?: Model;
    /** System prompt steering what counts as a fact. Defaults to a general fact-extraction prompt. */
    systemPrompt?: string;
}
/**
 * An {@link Extractor} that calls a language model to distill messages into discrete facts.
 *
 * Use for self-managed stores that hold plain text and want automatic distillation. Backends that
 * extract server-side should omit the extractor entirely (the no-extractor passthrough hands them
 * raw messages instead).
 *
 * @example
 * ```typescript
 * extraction: {
 *   trigger: [new InvocationTrigger()],
 *   extractor: new ModelExtractor({ model: cheapModel, systemPrompt: 'Extract user preferences.' }),
 * }
 * ```
 */
export declare class ModelExtractor implements Extractor {
    private readonly _model?;
    private readonly _systemPrompt;
    constructor(options?: ModelExtractorOptions);
    extract(messages: MessageData[], context?: ExtractorContext): Promise<ExtractionResult[]>;
}
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