import { z } from 'zod';
import { LLMTask } from '@cortex/core';
export declare const PROMPT_ID = "entity_extraction";
export declare const PROMPT_VERSION = "1.0.0";
export declare const systemPrompt = "You are a knowledge extraction engine for a software development context.\nExtract structured entities from the provided content. Each entity represents\na discrete piece of knowledge: a decision made, a requirement stated, a pattern\nused, a component described, a dependency identified, an interface defined, a\nconstraint established, an action item assigned, a risk identified, or a note\nrecorded.\n\nReturn ONLY valid JSON matching the provided schema. No markdown, no explanation.";
export declare function buildUserPrompt(vars: {
    filePath: string;
    projectName: string;
    fileType: string;
    content: string;
}): string;
export declare const outputSchema: z.ZodObject<{
    entities: z.ZodArray<z.ZodObject<{
        type: z.ZodCatch<z.ZodEnum<["Decision", "Requirement", "Pattern", "Component", "Dependency", "Interface", "Constraint", "ActionItem", "Risk", "Note"]>>;
        name: z.ZodString;
        content: z.ZodString;
        summary: z.ZodString;
        confidence: z.ZodNumber;
        tags: z.ZodArray<z.ZodString, "many">;
        properties: z.ZodRecord<z.ZodString, z.ZodUnknown>;
    }, "strip", z.ZodTypeAny, {
        content: string;
        type: "Decision" | "Requirement" | "Pattern" | "Component" | "Dependency" | "Interface" | "Constraint" | "ActionItem" | "Risk" | "Note";
        name: string;
        confidence: number;
        summary: string;
        tags: string[];
        properties: Record<string, unknown>;
    }, {
        content: string;
        name: string;
        confidence: number;
        summary: string;
        tags: string[];
        properties: Record<string, unknown>;
        type?: unknown;
    }>, "many">;
}, "strip", z.ZodTypeAny, {
    entities: {
        content: string;
        type: "Decision" | "Requirement" | "Pattern" | "Component" | "Dependency" | "Interface" | "Constraint" | "ActionItem" | "Risk" | "Note";
        name: string;
        confidence: number;
        summary: string;
        tags: string[];
        properties: Record<string, unknown>;
    }[];
}, {
    entities: {
        content: string;
        name: string;
        confidence: number;
        summary: string;
        tags: string[];
        properties: Record<string, unknown>;
        type?: unknown;
    }[];
}>;
export type EntityExtractionOutput = z.infer<typeof outputSchema>;
export declare const config: {
    provider: "cloud";
    model: "fast";
    temperature: number;
    maxTokens: number;
    task: LLMTask;
};
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