/**
 * CSV parser for LLM-generated flow output.
 *
 * Handles two output formats:
 * 1. Entry point classification (Phase 1)
 * 2. Flow construction with sub-flow references (Phase 2)
 */
export type EntryPointClassification = 'top_level' | 'subflow_candidate' | 'internal';
export interface ClassifiedEntryPoint {
    id: number;
    classification: EntryPointClassification;
    confidence: 'high' | 'medium' | 'low';
    reason: string;
}
export interface EntryPointParseResult {
    entries: ClassifiedEntryPoint[];
    errors: string[];
}
/**
 * Parse entry point classification output.
 * Expected format: type,id,classification,confidence,reason
 */
export declare function parseEntryPointClassification(content: string): EntryPointParseResult;
export interface ParsedFlowStep {
    type: 'definition' | 'subflow';
    order: number;
    id?: number;
    flowName?: string;
}
export interface ParsedFlow {
    id: number;
    name: string;
    description: string;
    domain: string | null;
    isComposite: boolean;
    steps: ParsedFlowStep[];
    subflowReasons: Map<number, string>;
}
export interface FlowParseResult {
    flows: ParsedFlow[];
    errors: string[];
}
/**
 * Parse flow construction output.
 * Expected format:
 * ```csv
 * type,flow_id,field,value
 * flow,1,name,"UserRegistration"
 * flow,1,description,"Handles new user signup"
 * flow,1,domain,"auth"
 * flow,1,is_composite,"true"
 * step,1,1,42
 * step,1,2,subflow:ValidateUser
 * step,1,3,89
 * subflow_reason,1,2,"Delegates input validation to reusable validation flow"
 * ```
 */
export declare function parseFlowConstruction(content: string): FlowParseResult;
export interface GapFillSuggestion {
    type: 'new_flow' | 'add_to_existing' | 'new_subflow';
    symbolId: number;
    targetFlowId?: number;
    reason: string;
}
export interface GapFillParseResult {
    suggestions: GapFillSuggestion[];
    errors: string[];
}
/**
 * Parse gap filling suggestions.
 * Expected format: type,symbol_id,target_flow_id,reason
 */
export declare function parseGapFillSuggestions(content: string): GapFillParseResult;
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