g1nation
225 lines
9.9 KiB
TypeScript
225 lines
9.9 KiB
TypeScript
import * as vscode from 'vscode';
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import * as os from 'os';
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import * as path from 'path';
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import * as fs from 'fs';
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// ─── 브레인 프로필 인터페이스 ───
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export interface BrainProfile {
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id: string;
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name: string;
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localBrainPath: string;
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secondBrainRepo?: string;
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description?: string;
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}
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// ─── 에이전트 설정 인터페이스 (통합 버전) ───
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export interface IAgentConfig {
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ollamaUrl: string;
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defaultModel: string;
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maxTreeFiles: number;
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timeout: number;
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localBrainPath: string;
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secondBrainRepo: string;
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brainProfiles: BrainProfile[];
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activeBrainId: string;
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maxContextSize: number;
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maxAutoSteps: number;
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dryRun: boolean;
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multiAgentEnabled: boolean;
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memoryEnabled: boolean;
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memoryShortTermMessages: number;
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memoryMediumTermSessions: number;
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memoryLongTermFiles: number;
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// ─── 컨텍스트 한계 관리 ───
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contextLength: number;
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maxOutputTokens: number;
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contextSafetyMargin: number;
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contextOverflowPolicy: 'stopAtLimit' | 'truncateMiddle' | 'rollingWindow';
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autoCompactHistory: boolean;
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/** 작은 모델(≤4B) 감지 시 예산 계산에 쓸 유효 context window 상한. 0 = 비활성화. */
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smallModelContextCap: number;
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// ─── 응답 복구 (Thought Quarantine / Auto-Continuation) ───
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/** 답변이 출력 토큰 한계에 걸리면 사용자 개입 없이 내부적으로 이어서 생성. */
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autoContinueOnOutputLimit: boolean;
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/** 자동 이어쓰기 최대 횟수 (무한 반복 방지). 0 = 비활성화. */
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maxAutoContinuations: number;
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/** 모델이 내부 사고만 출력하고 답변이 없으면 "최종 답변만" 지시로 1회 재생성. */
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finalOnlyRetryOnThoughtLeak: boolean;
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// ─── Hybrid Semantic Search ───
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/**
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* Embedding model name as registered in LM Studio / Ollama. Empty disables
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* semantic search and the retriever falls back to TF-IDF only. The user
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* must load this model in the engine before enabling it here.
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*/
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embeddingModel: string;
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/**
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* Blend between TF-IDF (sparse) and embedding cosine (dense) scoring.
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* 0 = TF-IDF only (status quo), 1 = embedding only.
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* Default 0.5 = equal weight, a reasonable starting point.
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*/
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embeddingBlendAlpha: number;
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/**
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* Global Knowledge Mix weight (0–100). Controls how much the assistant leans on
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* Second Brain evidence vs. model general knowledge when answering.
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* 0 → Second Brain disabled; model knowledge only.
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* 50 → Balanced (default).
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* 100 → Second Brain is primary evidence; model knowledge only fills gaps.
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* Per-agent overrides live in AgentKnowledgeEntry.secondBrainWeight and win.
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*/
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knowledgeMixSecondBrainWeight: number;
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/**
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* [Self-Reflection] Researcher와 Writer 사이에 메타인지 단계(Reflector)를 삽입할지 여부.
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* true(기본): Reflector가 plan/research를 비판적으로 검토한 critique을 Writer에 주입.
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* false: 기존 3단계(Planner→Researcher→Writer) 그대로 — 1 LLM 호출 절약 (저성능 모델/저지연 우선 시).
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*/
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enableReflection: boolean;
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/**
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* [Self-Reflection → Knowledge] Reflector critique 중 의미 있는 발견을 brain의
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* `lessons/auto-reflector/`에 lesson 카드로 영속화할지 여부. true(기본)이면 동일/유사 패턴이
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* 다음 미션에서 retrieval로 자동 주입되고, 같은 critique이 반복될수록 occurrences/severity가
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* 누적됨. false면 critique은 그 미션 한정으로만 사용되고 사라짐.
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*/
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autoLessonFromReflection: boolean;
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}
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// ─── 경로 정규화 유틸리티 ───
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function normalizePath(p: string): string {
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if (!p) return p;
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if (p.startsWith('~/')) {
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return path.join(os.homedir(), p.substring(2));
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}
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return p.trim();
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}
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function toBrainProfile(raw: Partial<BrainProfile> | undefined, fallbackIndex: number): BrainProfile | null {
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if (!raw) return null;
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const localBrainPath = normalizePath(raw.localBrainPath || '');
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if (!localBrainPath) return null;
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return {
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id: (raw.id || `brain-${fallbackIndex + 1}`).trim(),
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name: (raw.name || path.basename(localBrainPath) || `Brain ${fallbackIndex + 1}`).trim(),
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localBrainPath,
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secondBrainRepo: (raw.secondBrainRepo || '').trim(),
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description: (raw.description || '').trim()
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};
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}
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// ─── VS Code 설정에서 읽어오는 값 (통합 구현) ───
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export function getConfig(): IAgentConfig {
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const cfg = vscode.workspace.getConfiguration('g1nation');
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// 브레인 프로필 로직 (utils.ts에서 이관)
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const legacyBrainPath = cfg.get<string>('localBrainPath', '');
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const legacyBrainRepo = cfg.get<string>('secondBrainRepo', '');
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const configuredProfiles = cfg.get<Partial<BrainProfile>[]>('brainProfiles', []);
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const profiles = configuredProfiles
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.map((profile, index) => toBrainProfile(profile, index))
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.filter((profile): profile is BrainProfile => !!profile);
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if (profiles.length === 0) {
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const fallbackPath = normalizePath(legacyBrainPath) || path.join(os.homedir(), '.g1nation-brain');
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profiles.push({
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id: 'default-brain',
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name: 'Local Brain',
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localBrainPath: fallbackPath,
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secondBrainRepo: legacyBrainRepo.trim(),
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description: legacyBrainPath
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? 'Migrated from your existing localBrainPath setting'
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: 'Auto-created local knowledge folder.'
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});
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}
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const activeBrainId = cfg.get<string>('activeBrainId', profiles[0].id) || profiles[0].id;
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const activeBrain = profiles.find((profile) => profile.id === activeBrainId) || profiles[0];
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return {
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ollamaUrl: cfg.get<string>('ollamaUrl', 'http://127.0.0.1:11434') || 'http://127.0.0.1:11434',
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defaultModel: cfg.get<string>('defaultModel', 'gemma4:e2b') || 'gemma4:e2b',
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maxTreeFiles: 200,
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timeout: cfg.get<number>('requestTimeout', 300) * 1000,
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localBrainPath: activeBrain.localBrainPath,
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secondBrainRepo: activeBrain.secondBrainRepo || '',
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brainProfiles: profiles,
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activeBrainId: activeBrain.id,
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maxContextSize: cfg.get<number>('maxContextSize', 12000),
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maxAutoSteps: cfg.get<number>('maxAutoSteps', 50),
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dryRun: cfg.get<boolean>('dryRun', false),
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multiAgentEnabled: cfg.get<boolean>('multiAgentEnabled', false),
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memoryEnabled: cfg.get<boolean>('memoryEnabled', true),
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memoryShortTermMessages: Math.max(0, cfg.get<number>('memoryShortTermMessages', 8)),
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memoryMediumTermSessions: Math.max(0, cfg.get<number>('memoryMediumTermSessions', 5)),
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memoryLongTermFiles: Math.max(0, cfg.get<number>('memoryLongTermFiles', 6)),
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contextLength: Math.max(2048, cfg.get<number>('contextLength', 32768)),
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maxOutputTokens: Math.max(256, cfg.get<number>('maxOutputTokens', 4096)),
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contextSafetyMargin: Math.max(0, cfg.get<number>('contextSafetyMargin', 2048)),
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contextOverflowPolicy: ((): IAgentConfig['contextOverflowPolicy'] => {
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const v = cfg.get<string>('contextOverflowPolicy', 'stopAtLimit');
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return v === 'truncateMiddle' || v === 'rollingWindow' ? v : 'stopAtLimit';
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})(),
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autoCompactHistory: cfg.get<boolean>('autoCompactHistory', true),
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smallModelContextCap: Math.max(0, cfg.get<number>('smallModelContextCap', 0)),
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autoContinueOnOutputLimit: cfg.get<boolean>('autoContinueOnOutputLimit', true),
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maxAutoContinuations: Math.max(0, Math.min(10, cfg.get<number>('maxAutoContinuations', 4))),
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finalOnlyRetryOnThoughtLeak: cfg.get<boolean>('finalOnlyRetryOnThoughtLeak', true),
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embeddingModel: (cfg.get<string>('embeddingModel', '') || '').trim(),
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embeddingBlendAlpha: Math.max(0, Math.min(1, cfg.get<number>('embeddingBlendAlpha', 0.5))),
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knowledgeMixSecondBrainWeight: Math.max(0, Math.min(100, Math.round(
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cfg.get<number>('knowledgeMix.secondBrainWeight', 50)
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))),
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enableReflection: cfg.get<boolean>('enableReflection', true),
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autoLessonFromReflection: cfg.get<boolean>('autoLessonFromReflection', true),
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};
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}
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/**
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* Config Validator: Validates the current configuration.
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*/
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export function validateConfig(): { valid: boolean; errors: string[] } {
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const config = getConfig();
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const errors: string[] = [];
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// 1. Ollama URL Validation
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try {
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new URL(config.ollamaUrl);
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} catch (e) {
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errors.push(`Invalid Ollama URL: ${config.ollamaUrl}`);
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}
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// 2. Brain Path Validation
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if (config.localBrainPath && !fs.existsSync(config.localBrainPath)) {
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errors.push(`Brain path does not exist: ${config.localBrainPath}`);
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}
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return {
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valid: errors.length === 0,
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errors
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};
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}
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// ─── 보안 정책 (Security Policy) ───
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export const SECURITY_POLICY = {
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allowedCommandPrefixes: [
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'npm', 'yarn', 'pnpm', 'npx', 'node', 'ts-node', 'git', 'python', 'python3', 'pip', 'pip3',
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'docker', 'docker-compose', 'ls', 'dir', 'cat', 'type', 'echo', 'print', 'cargo', 'go', 'rustc',
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'java', 'javac', 'mvn', 'gradle', 'flutter', 'dart', 'pub', 'webpack', 'vite', 'esbuild', 'parcel',
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'jest', 'mocha', 'vitest', 'cypress', 'tsc', 'vue-tsc',
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],
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forbiddenCommands: [
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'rm -rf', 'rm-rf', 'del /f', 'format', 'mkfs', 'dd if=', ':(){ :|:& };:',
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'wget http', 'curl http', 'sudo', 'chmod 777', 'chown root',
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],
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sensitiveFilePatterns: [
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'.env', '.env.*', 'id_rsa', 'id_ed25519', '.gitconfig', '.npmrc', '.pypirc',
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'credentials.json', 'service-account.json',
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],
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maxFileSize: 10 * 1024 * 1024,
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maxContextFiles: 200,
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};
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export const EXCLUDED_DIRS = new Set([
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'node_modules', '.git', '.vscode', 'out', 'dist', 'build',
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'.next', '.cache', '__pycache__', '.DS_Store', 'coverage',
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'.turbo', '.nuxt', '.output', 'vendor', 'target', '.astra'
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]);
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