/**
 * LLM-powered deep scan — sends suspicious code to an LLM API for
 * semantic analysis of IDOR, business logic, race conditions, and
 * other issues that pattern-matching alone cannot detect.
 *
 * Uses native fetch — no extra dependencies.
 */
export interface DeepScanFinding {
    type: string;
    severity: "critical" | "high" | "medium" | "low";
    description: string;
    location: string;
    fix: string;
}
export type DeepScanFocus = "all" | "idor" | "business-logic" | "auth-bypass" | "race-condition";
export type DeepScanModel = "haiku" | "sonnet";
export declare const MODEL_IDS: Record<DeepScanModel, string>;
export declare const DEFAULT_MAX_BYTES = 10000;
/**
 * Build a structured prompt for the LLM to analyze code.
 */
export declare function buildDeepScanPrompt(code: string, language: string, existingFindings: string[], focus?: DeepScanFocus): string;
/**
 * Parse LLM response into structured findings.
 * Handles raw JSON, JSON in markdown code blocks, and malformed responses.
 */
export declare function parseDeepScanResult(response: string): DeepScanFinding[];
/**
 * Format deep scan findings as markdown or JSON.
 */
export declare function formatDeepScanFindings(findings: DeepScanFinding[], format: "markdown" | "json"): string;
export interface CallLLMOptions {
    model?: DeepScanModel;
    maxBytes?: number;
}
/**
 * Call an LLM API for deep analysis. Uses native fetch.
 * Supports Anthropic (ANTHROPIC_API_KEY) or OpenAI (OPENAI_API_KEY).
 * Returns null if no API key is available.
 *
 * Defaults to Haiku 4.5 for cost; pass `model: "sonnet"` for higher-quality analysis.
 * `maxBytes` truncates the prompt to keep cost bounded (default 10 KB).
 */
export declare function callLLM(prompt: string, options?: CallLLMOptions): Promise<string | null>;