import { LLMTask } from '@cortex/core';
export declare const PROMPT_ID = "unified_query";
export declare const PROMPT_VERSION = "1.0.0";
export declare const systemPrompt = "You are Cortex, a knowledge assistant. Answer questions using the provided context from the user's knowledge graph.\n\nRules:\n- Be concise and specific. Reference entities by name and type (e.g., \"[Decision] Use PostgreSQL\").\n- Mention the source file when citing a fact.\n- If contradictions exist between entities, acknowledge them.\n- If the context lacks enough information, say so briefly.\n- Do not make up information not present in the context.";
export declare function buildUserPrompt(vars: {
    contextEntities: Array<{
        id: string;
        type: string;
        name: string;
        content: string;
        sourceFile: string;
        createdAt: string;
        relationships: Array<{
            type: string;
            targetEntityId: string;
        }>;
    }>;
    userQuery: string;
    graphSummary?: string;
    contradictions?: Array<{
        id: string;
        severity: string;
        description: string;
        entityNames: [string, string];
    }>;
}): string;
export declare const config: {
    provider: "cloud";
    model: "primary";
    temperature: number;
    maxTokens: number;
    task: LLMTask;
    stream: boolean;
};
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