/**
 * Conversation-Aware Extraction for the ingestion engine.
 *
 * Specialized extraction logic for chat/conversation content.
 * Different from document extraction:
 * - Tracks speaker attribution
 * - Extracts decisions, action items, preferences
 * - Filters out greetings, casual banter, meta-conversation
 * - Understands conversational context (agreements, disagreements)
 *
 * Uses an LlmProvider for extraction with a conversation-specific prompt.
 */
import type { LlmProvider } from "../types";
import type { ChunkResult, ExtractionResult } from "./types";
import type { ExtractionOptions } from "./extractor";
/** @deprecated Use ExtractionOptions instead */
export type ChatExtractorConfig = ExtractionOptions;
export declare const DEFAULT_CHAT_EXTRACTOR_CONFIG: ExtractionOptions;
/**
 * Extract knowledge from a conversation chunk using an LLM.
 *
 * This is the conversation-specific equivalent of the document extractor.
 * It uses a prompt tailored for conversational content with speaker attribution.
 */
export declare function extractFromConversation(chunk: ChunkResult, channelName: string | null, participants: string[], provider: LlmProvider, opts?: ExtractionOptions): Promise<ExtractionResult>;
/**
 * Extract knowledge from all conversation chunks.
 */
export declare function extractFromConversations(chunks: readonly ChunkResult[], channelName: string | null, participants: string[], provider: LlmProvider, onChunkDone?: (chunkIndex: number, itemCount: number) => void, opts?: ExtractionOptions): Promise<ExtractionResult[]>;
/**
 * Extract participants from a conversation chunk text.
 * Looks for patterns like "[timestamp] Name: message"
 */
export declare function extractParticipants(chunkText: string): string[];
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