import type { LLMRouter } from "@onenomad/przm-cortex-llm-core";
import type { Logger } from "@onenomad/przm-cortex-core";
export interface ActionItem {
    description: string;
    owner?: string;
    due?: string;
    priority?: "P0" | "P1" | "P2";
}
export interface Decision {
    summary: string;
    context?: string;
}
export interface Entity {
    name: string;
    kind: "person" | "project" | "product" | "company" | "event";
}
export interface ExtractedItems {
    actionItems: ActionItem[];
    decisions: Decision[];
    entities: Entity[];
}
export interface ExtractStructuredItemsArgs {
    content: string;
    llmRouter: LLMRouter;
    logger: Logger;
    /** Trace id for correlating logs across the ingest + extraction. */
    traceId?: string;
    /**
     * Hard ceiling on chunk size to send to the LLM. Anything larger gets
     * truncated; we want bounded cost per call. The local Xenova chunker
     * already keeps cortex chunks below ~2KB so this is rarely a tail.
     */
    maxInputChars?: number;
}
export declare function extractStructuredItems(args: ExtractStructuredItemsArgs): Promise<ExtractedItems>;
/**
 * Slugify a free-text name into a stable identifier suitable for
 * `owner:<slug>` tags or `sourceId` suffixes. Lowercase, alphanumeric +
 * hyphens, max 40 chars. Caller is responsible for deduping against the
 * workspace's people / projects taxonomy.
 */
export declare function slugify(input: string): string;
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