/**
 * Rule Generalizer — Uses LLM to generalize PR diff hunks into reusable
 * code quality rules for the Assay catalog.
 *
 * Given a before/after diff hunk (and optional reviewer comment), the LLM
 * produces a GeneralizedRule with detection regex, fix description, severity,
 * and provenance. The rule is then mapped to an ExtractedPattern for catalog
 * ingestion.
 */
import type { DiffHunk, GeneralizedRule } from '../learned-rules/types.js';
import type { ExtractedPattern } from '../learned-rules/types.js';
/**
 * Build the user prompt for the LLM generalization call.
 */
export declare function buildGeneralizationPrompt(hunk: DiffHunk, repo: string, prNumber: number, prTitle: string, reviewComment?: string): string;
/**
 * Call the LLM to generalize a diff hunk into a reusable rule.
 * Returns null if the hunk is too context-specific, parse fails,
 * or all retries are exhausted.
 */
export declare function generalizeHunk(hunk: DiffHunk, repo: string, prNumber: number, prTitle: string, reviewComment?: string): Promise<GeneralizedRule | null>;
/**
 * CVE-specific generalization: more aggressive about extracting patterns
 * since every CVE fix represents a confirmed, generalizable vulnerability class.
 */
export declare function generalizeCVEHunk(hunk: DiffHunk, repo: string, cveId: string, summary: string, cwes: string[], reviewComment?: string): Promise<GeneralizedRule | null>;
/**
 * Map a GeneralizedRule to an ExtractedPattern for catalog ingestion.
 */
export declare function mapToExtractedPattern(rule: GeneralizedRule, patternId: string): ExtractedPattern;