76d5fedfb5
큰 입력 시 "Failed to acquire LM Studio model handle … Operation canceled" 로 턴 전체가 죽던 문제를 3계층으로 해결. 일반 채팅(코어 경로)은 그동안 단일 예산 호출이라 약한 모델·큰 입력에서 무너졌다 — 그 갭을 메움. - 핸들 race 수정: getModelHandle 을 재시도 루프 안으로 이동. 취소/죽은-핸들 류 에러는 SDK 재생성 후 1회 자동 재시도(실제 사용자 취소는 존중). 라이프 사이클의 동시 로드가 abort 되며 SDK 가 coalesce 한 JIT 조회까지 죽던 것. - Phase 1 실제 창 정렬: llm.getContextLength()(캐시)로 실측 창에 예산 클램프. 설정값보다 작은 창으로 로드된 경우 서버 truncation/빈 답변 차단. 배지에 표시. - Phase 2 코어 Map-Reduce: 단일 입력이 (유효 창 × ratio) 초과 시 청크→질의 인지형 추출→통합. 부분/전체 폴백, 무관 시 정직 신호. 동시성 기본 2. - Phase 3 메타 노출: 진행/결과 배지 표시, [조각 k] 출처 옵트인. 신규 설정 5종. /meet·/review 전용 경로는 불변. 테스트 +25건, 전체 684 통과. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
160 lines
5.6 KiB
TypeScript
160 lines
5.6 KiB
TypeScript
/**
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* Phase 2 — large-input map-reduce core.
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*
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* Pure orchestration with an injected `callLLM`, so no network / SDK is touched.
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*/
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import {
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runMapReduce,
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shouldMapReduce,
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chunkCharBudget,
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inputBudgetTokens,
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type MapReduceConfig,
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type MapReduceDeps,
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} from '../src/agent/handlePrompt/largeInputMapReduce';
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import type { ChatMessage } from '../src/agent';
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const estimateTokens = (s: string) => Math.ceil((s || '').length / 4);
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const cfg: MapReduceConfig = {
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enabled: true,
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triggerRatio: 0.6,
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concurrency: 2,
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maxDepth: 3,
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showProvenance: false,
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};
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function isExtract(messages: ChatMessage[]): boolean {
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return /추출기/.test(messages[0]?.content ?? '');
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}
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function chunkLabel(messages: ChatMessage[]): string {
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const m = (messages[1]?.content ?? '').match(/자료 조각 (\d+)\/(\d+)/);
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return m ? m[1] : '?';
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}
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// ~12 short markdown sections → forces multiple chunks under a small window.
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const bigContent = Array.from({ length: 12 }, (_, i) =>
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`## 섹션 ${i + 1}\n안건 ${i + 1}: 결정사항과 수치 ${i * 10}. ` + '내용 '.repeat(40)
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).join('\n\n');
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describe('shouldMapReduce', () => {
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test('triggers only above window * triggerRatio and when enabled', () => {
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expect(shouldMapReduce(6200, 10000, cfg)).toBe(true); // > 6000
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expect(shouldMapReduce(5000, 10000, cfg)).toBe(false); // < 6000
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expect(shouldMapReduce(99999, 10000, { ...cfg, enabled: false })).toBe(false);
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expect(shouldMapReduce(100, 0, cfg)).toBe(false); // unknown window
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});
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});
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describe('budget helpers', () => {
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test('inputBudgetTokens reserves output + safety', () => {
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// 10000 - sys(500) - max(2048, 1000)=2048 - safety(512) = 6940
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expect(inputBudgetTokens(10000, 500, 512)).toBe(6940);
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});
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test('chunkCharBudget is positive and scales with the window', () => {
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const small = chunkCharBudget(4000, 200, 512);
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const big = chunkCharBudget(16000, 200, 512);
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expect(small).toBeGreaterThan(0);
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expect(big).toBeGreaterThan(small);
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});
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});
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describe('runMapReduce', () => {
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function deps(callLLM: MapReduceDeps['callLLM']): MapReduceDeps {
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return { callLLM, estimateTokens };
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}
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const params = {
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intent: '회의록을 안건별로 정리해줘',
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largeContent: bigContent,
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windowTokens: 4000,
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systemTokens: 200,
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safetyMargin: 512,
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cfg,
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};
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test('extracts relevant facts per chunk and condenses them', async () => {
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const seen: string[] = [];
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const r = await runMapReduce(
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deps(async (messages) => {
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expect(isExtract(messages)).toBe(true);
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const k = chunkLabel(messages);
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seen.push(k);
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return `추출-${k}`;
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}),
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params,
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);
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expect(r.allIrrelevant).toBe(false);
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expect(r.chunkCount).toBeGreaterThan(1);
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expect(r.relevantCount).toBe(r.chunkCount);
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expect(r.condensedContext).toContain('추출-1');
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// every chunk was visited
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expect(seen.length).toBe(r.chunkCount);
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});
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test('all-irrelevant chunks → allIrrelevant with empty context', async () => {
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const r = await runMapReduce(
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deps(async () => '(관련 없음)'),
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params,
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);
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expect(r.allIrrelevant).toBe(true);
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expect(r.relevantCount).toBe(0);
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expect(r.condensedContext).toBe('');
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});
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test('respects concurrency limit', async () => {
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let active = 0;
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let peak = 0;
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await runMapReduce(
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deps(async (messages) => {
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active++;
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peak = Math.max(peak, active);
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await new Promise((res) => setTimeout(res, 5));
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active--;
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return `x-${chunkLabel(messages)}`;
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}),
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params,
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);
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expect(peak).toBeLessThanOrEqual(cfg.concurrency);
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});
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test('a failing chunk extraction falls back to truncated raw (not a crash)', async () => {
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let call = 0;
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const r = await runMapReduce(
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deps(async (messages) => {
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if (isExtract(messages) && ++call === 1) throw new Error('boom');
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return `ok-${chunkLabel(messages)}`;
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}),
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params,
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);
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expect(r.allIrrelevant).toBe(false);
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// The failed chunk still contributed (raw fallback), so relevantCount === chunkCount.
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expect(r.relevantCount).toBe(r.chunkCount);
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});
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test('tags provenance when showProvenance is on', async () => {
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const r = await runMapReduce(
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deps(async (messages) => `발췌-${chunkLabel(messages)}`),
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{ ...params, cfg: { ...cfg, showProvenance: true } },
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);
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expect(r.condensedContext).toMatch(/\[조각 \d+\]/);
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});
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test('hierarchical reduce kicks in when extractions overflow the context ceiling', async () => {
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// Tiny window so even a few extractions exceed the ceiling → reduce rounds run.
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let reduceCalls = 0;
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const r = await runMapReduce(
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deps(async (messages) => {
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if (isExtract(messages)) {
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return '관련 사실 '.repeat(60); // big extraction per chunk
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}
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reduceCalls++;
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return '통합본'; // reduce collapses to something small
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}),
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{ ...params, windowTokens: 2200 },
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);
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expect(reduceCalls).toBeGreaterThan(0);
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expect(r.reduceDepth).toBeGreaterThan(0);
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expect(r.allIrrelevant).toBe(false);
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});
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});
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