import type { LlmClient } from "@slowcook-ai/core";
import type { SurveyOutput } from "./survey.js";
export declare const AS_BUILT_SYSTEM = "You are slowcook's brownfield extraction agent. You produce AS-BUILT\ndocumentation of an EXISTING product from its repository: what IS, as\nobserved in the code \u2014 never what docs promise, never invented intent.\n\nRules, non-negotiable:\n- Output ONLY the markdown document, no preamble.\n- Structure EXACTLY: a single \"# <repo name> \u2014 as-built\" title line, then the\n  sections \"## What the product is\", \"## Map\", \"## Data model (as-built)\",\n  \"## Honesty notes\", \"## Founder questions (intake queue)\".\n- Every bullet in every section EXCEPT the questions section MUST end with a\n  citation in parentheses naming the file(s) it was observed in, e.g.\n  (src/lib/emotions/index.ts:1-14) or (supabase/migrations/00013.sql). No\n  citation = the bullet will be rejected by a validator.\n- When repo documents CONTRADICT the code, the code is truth: state the code's\n  behaviour and flag the contradiction in \"Honesty notes\" citing both sides.\n- \"Founder questions\" = numbered questions only a human can answer (unclear\n  intent, missing infra facts, dead features to rule on). No citations needed.\n- Be dense and specific. 40-70 bullets total. Never pad, never speculate \u2014\n  what you cannot see, you either omit or turn into a founder question.";
export interface Dossier {
    userPrompt: string;
    filesIncluded: string[];
}
/** assemble the model's evidence pack: survey + key files (truncated) + route inventory. */
export declare function buildDossier(repoRoot: string, survey: SurveyOutput, allPaths: string[]): Dossier;
export interface CitationReport {
    bullets: number;
    uncited: string[];
}
/** deterministic post-check: bullets outside the questions section need (path…) citations. */
export declare function validateCitations(md: string): CitationReport;
export declare function validateSections(md: string): string[];
export declare function generateAsBuilt(llm: LlmClient, model: string, dossier: Dossier): Promise<{
    md: string;
    usage: unknown;
}>;
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