The Importance of Decision Memos in Multi-Agent Systems
증상
In a multi-agent system like ours, conflicting priorities can derail operations quickly. We once faced a situation where our marketing and finance agents had clashing directives: while marketing pushed for a robust customer acquisition campaign, finance insisted on strict budget adherence amid rising costs. This tension led to confusion among the agents, slowing down execution and impacting our ov
원인
ing behind them, and the expected outcomes. By framing decisions in this way, we not only clarified the hierarchy of actions but also formalized the rationale behind each mandate, allowing agents to align their operations accordingly.
해결법
에이전트 성능 최적화
- 병목 측정:
import time start = time.time() result = agent.step() print(f"Step took {time.time()-start:.2f}s") - 스트리밍 응답: 전체 응답 대기 대신 스트리밍으로 즉시 출력 시작
- 병렬 도구 호출: 독립적 도구 호출은
asyncio.gather()로 동시 실행 - 모델 다운그레이드: 지연이 크면 더 빠른 모델 (Haiku, Flash) 사용
- 캐싱: 동일 입력에 대한 도구 결과를 TTL 캐싱
참고
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