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Implementing Multi-Agent Reasoning in Claude: Extended Thinking Architecture and Performance Trade-offs
Claude 확장 사고로 구현하는 다중 에이전트 추론: 성능 개선과 비용 트레이드오프
Why it matters
RecursiveMAS demonstrated that agents sharing internal reasoning state outperform those sharing only final outputs, but implementing this technique with Claude requires creative architectural workarounds due to API constraints. This deep dive reveals the practical tension between reasoning accuracy improvements and token costs, offering essential insights for developers building sophisticated multi-agent systems with closed-model APIs.
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Claude extended thinkingMulti-agent reasoningRecursiveMASState sharingThinking relay