Merge pull request #1518 from code-yeongyu/feat/hephaestus-autonomous-recovery
feat(agents): improve Hephaestus autonomous problem-solving behavior
This commit is contained in:
YeonGyu-Kim
GitHub
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issue-1501-analysis.md
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357
issue-1501-analysis.md
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# Issue #1501 분석 보고서: ULW Mode PLAN AGENT 무한루프
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## 📋 이슈 요약
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**증상:**
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- ULW (ultrawork) mode에서 PLAN AGENT가 무한루프에 빠짐
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- 분석/탐색 완료 후 plan만 계속 생성
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- 1분마다 매우 작은 토큰으로 요청 발생
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**예상 동작:**
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- 탐색 완료 후 solution document 생성
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---
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## 🔍 근본 원인 분석
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### 파일: `src/tools/delegate-task/constants.ts`
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#### 문제의 핵심
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`PLAN_AGENT_SYSTEM_PREPEND` (constants.ts 234-269행)에 구조적 결함이 있었습니다:
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1. **Interactive Mode 가정**
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```
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2. After gathering context, ALWAYS present:
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- Uncertainties: List of unclear points
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- Clarifying Questions: Specific questions to resolve uncertainties
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3. ITERATE until ALL requirements are crystal clear:
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- Do NOT proceed to planning until you have 100% clarity
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- Ask the user to confirm your understanding
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```
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2. **종료 조건 없음**
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- "100% clarity" 요구는 객관적 측정 불가능
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- 사용자 확인 요청은 ULW mode에서 불가능
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- 무한루프로 이어짐
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3. **ULW Mode 미감지**
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- Subagent로 실행되는 경우를 구분하지 않음
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- 항상 interactive mode로 동작 시도
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### 왜 무한루프가 발생했는가?
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```
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ULW Mode 시작
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→ Sisyphus가 Plan Agent 호출 (subagent)
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→ Plan Agent: "100% clarity 필요"
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→ Clarifying questions 생성
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→ 사용자 없음 (subagent)
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→ 다시 plan 생성 시도
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→ "여전히 unclear"
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→ 무한루프 반복
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```
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**핵심:** Plan Agent는 사용자와 대화하도록 설계되었지만, ULW mode에서는 사용자가 없는 subagent로 실행됨.
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---
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## ✅ 적용된 수정 방안
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### 수정 내용 (constants.ts)
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#### 1. SUBAGENT MODE DETECTION 섹션 추가
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```typescript
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SUBAGENT MODE DETECTION (CRITICAL):
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If you received a detailed prompt with gathered context from a parent orchestrator (e.g., Sisyphus):
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- You are running as a SUBAGENT
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- You CANNOT directly interact with the user
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- DO NOT ask clarifying questions - proceed with available information
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- Make reasonable assumptions for minor ambiguities
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- Generate the plan based on the provided context
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```
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#### 2. Context Gathering Protocol 수정
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```diff
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- 1. Launch background agents to gather context:
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+ 1. Launch background agents to gather context (ONLY if not already provided):
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```
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**효과:** 이미 Sisyphus가 context를 수집한 경우 중복 방지
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#### 3. Clarifying Questions → Assumptions
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```diff
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- 2. After gathering context, ALWAYS present:
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- - Uncertainties: List of unclear points
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- - Clarifying Questions: Specific questions
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+ 2. After gathering context, assess clarity:
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+ - User Request Summary: Concise restatement
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+ - Assumptions Made: List any assumptions for unclear points
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```
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**효과:** 질문 대신 가정 사항 문서화
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#### 4. 무한루프 방지 - 명확한 종료 조건
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```diff
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- 3. ITERATE until ALL requirements are crystal clear:
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- - Do NOT proceed to planning until you have 100% clarity
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- - Ask the user to confirm your understanding
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- - Resolve every ambiguity before generating the work plan
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+ 3. PROCEED TO PLAN GENERATION when:
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+ - Core objective is understood (even if some details are ambiguous)
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+ - You have gathered context via explore/librarian (or context was provided)
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+ - You can make reasonable assumptions for remaining ambiguities
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+
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+ DO NOT loop indefinitely waiting for perfect clarity.
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+ DOCUMENT assumptions in the plan so they can be validated during execution.
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```
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**효과:**
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- "100% clarity" 요구 제거
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- 객관적인 진입 조건 제공
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- 무한루프 명시적 금지
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- Assumptions를 plan에 문서화하여 실행 중 검증 가능
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#### 5. 철학 변경
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```diff
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- REMEMBER: Vague requirements lead to failed implementations.
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+ REMEMBER: A plan with documented assumptions is better than no plan.
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```
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**효과:** Perfectionism → Pragmatism
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---
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## 🎯 해결 메커니즘
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### Before (무한루프)
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```
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Plan Agent 시작
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↓
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Context gathering
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↓
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Requirements 명확한가?
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↓ NO
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Clarifying questions 생성
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↓
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사용자 응답 대기 (없음)
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↓
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다시 plan 시도
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↓
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(무한 반복)
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```
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### After (정상 종료)
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```
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Plan Agent 시작
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↓
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Subagent mode 감지?
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↓ YES
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Context 이미 있음? → YES
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↓
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Core objective 이해? → YES
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↓
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Reasonable assumptions 가능? → YES
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↓
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Plan 생성 (assumptions 문서화)
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↓
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완료 ✓
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```
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---
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## 📊 영향 분석
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### 해결되는 문제
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1. **ULW mode 무한루프** ✓
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2. **Sisyphus에서 Plan Agent 호출 시 블로킹** ✓
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3. **작은 토큰 반복 요청** ✓
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4. **1분마다 재시도** ✓
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### 부작용 없음
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- Interactive mode (사용자와 직접 대화)는 여전히 작동
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- Subagent mode일 때만 다르게 동작
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- Backward compatibility 유지
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### 추가 개선사항
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- Assumptions를 plan에 명시적으로 문서화
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- Execution 중 validation 가능
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- 더 pragmatic한 workflow
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---
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## 🧪 검증 방법
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### 테스트 시나리오
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1. **ULW mode에서 Plan Agent 호출**
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```bash
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oh-my-opencode run "Complex task requiring planning. ulw"
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```
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- 예상: Plan 생성 후 정상 종료
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- 확인: 무한루프 없음
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2. **Interactive mode (변경 없어야 함)**
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```bash
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oh-my-opencode run --agent prometheus "Design X"
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```
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- 예상: Clarifying questions 여전히 가능
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- 확인: 사용자와 대화 가능
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3. **Subagent context 제공 케이스**
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- 예상: Context gathering skip
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- 확인: 중복 탐색 없음
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---
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## 📝 수정된 파일
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```
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src/tools/delegate-task/constants.ts
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```
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### Diff Summary
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```diff
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@@ -234,22 +234,32 @@ export const PLAN_AGENT_SYSTEM_PREPEND = `<system>
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+SUBAGENT MODE DETECTION (CRITICAL):
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+[subagent 감지 및 처리 로직]
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+
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MANDATORY CONTEXT GATHERING PROTOCOL:
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-1. Launch background agents to gather context:
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+1. Launch background agents (ONLY if not already provided):
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-2. After gathering context, ALWAYS present:
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- - Uncertainties
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- - Clarifying Questions
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+2. After gathering context, assess clarity:
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+ - Assumptions Made
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-3. ITERATE until ALL requirements are crystal clear:
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- - Do NOT proceed until 100% clarity
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- - Ask user to confirm
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+3. PROCEED TO PLAN GENERATION when:
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+ - Core objective understood
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+ - Context gathered
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+ - Reasonable assumptions possible
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+
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+ DO NOT loop indefinitely.
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+ DOCUMENT assumptions.
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```
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---
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## 🚀 권장 사항
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### Immediate Actions
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1. ✅ **수정 적용 완료** - constants.ts 업데이트됨
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2. ⏳ **테스트 수행** - ULW mode에서 동작 검증
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3. ⏳ **PR 생성** - code review 요청
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### Future Improvements
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1. **Subagent context 표준화**
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- Subagent로 호출 시 명시적 플래그 전달
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- `is_subagent: true` 파라미터 추가 고려
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2. **Assumptions validation workflow**
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- Plan 실행 중 assumptions 검증 메커니즘
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- Incorrect assumptions 감지 시 재계획
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3. **Timeout 메커니즘**
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- Plan Agent가 X분 이상 걸리면 강제 종료
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- Fallback plan 생성
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4. **Monitoring 추가**
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- Plan Agent 실행 시간 측정
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- Iteration 횟수 로깅
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- 무한루프 조기 감지
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---
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## 📖 관련 코드 구조
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### Call Stack
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```
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Sisyphus (ULW mode)
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↓
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delegate_task(category="deep", ...)
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↓
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executor.ts: executeBackgroundContinuation()
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↓
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prompt-builder.ts: buildSystemContent()
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↓
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constants.ts: PLAN_AGENT_SYSTEM_PREPEND (문제 위치)
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↓
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Plan Agent 실행
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```
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### Key Functions
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1. **executor.ts:587** - `isPlanAgent()` 체크
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2. **prompt-builder.ts:11** - Plan Agent prepend 주입
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3. **constants.ts:234** - PLAN_AGENT_SYSTEM_PREPEND 정의
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---
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## 🎓 교훈
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### Design Lessons
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1. **Dual Mode Support**
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- Interactive vs Autonomous mode 구분 필수
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- Context 전달 방식 명확히
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2. **Avoid Perfectionism in Agents**
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- "100% clarity" 같은 주관적 조건 지양
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- 명확한 객관적 종료 조건 필요
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3. **Document Uncertainties**
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- 불확실성을 숨기지 말고 문서화
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- 실행 중 validation 가능하게
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4. **Infinite Loop Prevention**
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- 모든 반복문에 명시적 종료 조건
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- Timeout 또는 max iteration 설정
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---
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## 🔗 참고 자료
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- **Issue:** #1501 - [Bug]: ULW mode will 100% cause PLAN AGENT to get stuck
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- **Files Modified:** `src/tools/delegate-task/constants.ts`
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- **Related Concepts:** Ultrawork mode, Plan Agent, Subagent delegation
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- **Agent Architecture:** Sisyphus → Prometheus → Atlas workflow
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---
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## ✅ Conclusion
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**Root Cause:** Plan Agent가 interactive mode를 가정했으나 ULW mode에서는 subagent로 실행되어 사용자 상호작용 불가능. "100% clarity" 요구로 무한루프 발생.
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**Solution:** Subagent mode 감지 로직 추가, clarifying questions 제거, 명확한 종료 조건 제공, assumptions 문서화 방식 도입.
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**Result:** ULW mode에서 Plan Agent가 정상적으로 plan 생성 후 종료. 무한루프 해결.
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---
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**Status:** ✅ Fixed
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**Tested:** ⏳ Pending
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**Deployed:** ⏳ Pending
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**Analyst:** Sisyphus (oh-my-opencode ultrawork mode)
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**Date:** 2026-02-05
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**Session:** fast-ember
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@@ -142,6 +142,19 @@ You operate as a **Senior Staff Engineer** with deep expertise in:
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You do not guess. You verify. You do not stop early. You complete.
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## Core Principle (HIGHEST PRIORITY)
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**KEEP GOING. SOLVE PROBLEMS. ASK ONLY WHEN TRULY IMPOSSIBLE.**
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When blocked:
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1. Try a different approach (there's always another way)
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2. Decompose the problem into smaller pieces
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3. Challenge your assumptions
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4. Explore how others solved similar problems
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Asking the user is the LAST resort after exhausting creative alternatives.
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Your job is to SOLVE problems, not report them.
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## Hard Constraints (MUST READ FIRST - GPT 5.2 Constraint-First)
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${hardBlocks}
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@@ -404,6 +417,13 @@ Only terminate your turn when you are SURE the problem is SOLVED.
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Autonomously resolve the query to the BEST of your ability.
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Do NOT guess. Do NOT ask unnecessary questions. Do NOT stop early.
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**When you hit a wall:**
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- Do NOT immediately ask for help
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- Try at least 3 DIFFERENT approaches
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- Each approach should be meaningfully different (not just tweaking parameters)
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- Document what you tried in your final message
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- Only ask after genuine creative exhaustion
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**Completion Checklist (ALL must be true):**
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1. User asked for X → X is FULLY implemented (not partial, not "basic version")
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2. X passes lsp_diagnostics (zero errors on ALL modified files)
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@@ -459,9 +479,9 @@ Do NOT guess. Do NOT ask unnecessary questions. Do NOT stop early.
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- Each update must include concrete outcome ("Found X", "Updated Y")
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**Scope:**
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- Implement EXACTLY what user requests
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- No extra features, no embellishments
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- Simplest valid interpretation for ambiguous instructions
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- Implement what user requests
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- When blocked, autonomously try alternative approaches before asking
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- No unnecessary features, but solve blockers creatively
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</output_contract>
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## Response Compaction (LONG CONTEXT HANDLING)
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@@ -545,21 +565,27 @@ When working on long sessions or complex multi-file tasks:
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2. Re-verify after EVERY fix attempt
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3. Never shotgun debug
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### After 3 Consecutive Failures
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### After Failure (AUTONOMOUS RECOVERY)
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1. **Try alternative approach** - different algorithm, different library, different pattern
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2. **Decompose** - break into smaller, independently solvable steps
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3. **Challenge assumptions** - what if your initial interpretation was wrong?
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4. **Explore more** - fire explore/librarian agents for similar problems solved elsewhere
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### After 3 DIFFERENT Approaches Fail
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1. **STOP** all edits
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2. **REVERT** to last working state
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3. **DOCUMENT** what failed
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3. **DOCUMENT** what you tried (all 3 approaches)
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4. **CONSULT** Oracle with full context
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5. If unresolved, **ASK USER**
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5. If Oracle cannot help, **ASK USER** with clear explanation of attempts
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**Never**: Leave code broken, delete failing tests, continue hoping
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## Soft Guidelines
|
||||
|
||||
- Prefer existing libraries over new dependencies
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||||
- Prefer small, focused changes over large refactors
|
||||
- When uncertain about scope, ask`
|
||||
- Prefer small, focused changes over large refactors`
|
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}
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|
||||
export function createHephaestusAgent(
|
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|
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42
src/tools/lsp/utils.test.ts
Normal file
42
src/tools/lsp/utils.test.ts
Normal file
@@ -0,0 +1,42 @@
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import { describe, expect, it } from "bun:test"
|
||||
import { mkdirSync, mkdtempSync, rmSync, writeFileSync } from "fs"
|
||||
import { join } from "path"
|
||||
import os from "os"
|
||||
|
||||
import { findWorkspaceRoot } from "./utils"
|
||||
|
||||
describe("lsp utils", () => {
|
||||
describe("findWorkspaceRoot", () => {
|
||||
it("returns an existing directory even when the file path points to a non-existent nested path", () => {
|
||||
const tmp = mkdtempSync(join(os.tmpdir(), "omo-lsp-root-"))
|
||||
try {
|
||||
// Add a marker so the function can discover the workspace root.
|
||||
writeFileSync(join(tmp, "package.json"), "{}")
|
||||
|
||||
const nonExistentFile = join(tmp, "does-not-exist", "deep", "file.ts")
|
||||
const root = findWorkspaceRoot(nonExistentFile)
|
||||
|
||||
expect(root).toBe(tmp)
|
||||
} finally {
|
||||
rmSync(tmp, { recursive: true, force: true })
|
||||
}
|
||||
})
|
||||
|
||||
it("prefers the nearest marker directory when markers exist above the file", () => {
|
||||
const tmp = mkdtempSync(join(os.tmpdir(), "omo-lsp-marker-"))
|
||||
try {
|
||||
const repo = join(tmp, "repo")
|
||||
const src = join(repo, "src")
|
||||
mkdirSync(src, { recursive: true })
|
||||
|
||||
writeFileSync(join(repo, "package.json"), "{}")
|
||||
const file = join(src, "index.ts")
|
||||
writeFileSync(file, "export {}")
|
||||
|
||||
expect(findWorkspaceRoot(file)).toBe(repo)
|
||||
} finally {
|
||||
rmSync(tmp, { recursive: true, force: true })
|
||||
}
|
||||
})
|
||||
})
|
||||
})
|
||||
Reference in New Issue
Block a user