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title: "Context Passing"
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type: concept
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tags: [multi-agent, workflow, communication]
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last_updated: 2026-04-21
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---
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## Definition
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上下文传递(Context Passing)是一种多智能体通信模式,在智能体之间传递完整的上下文信息,而非摘要或压缩版本。
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## Core Principle
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**"Copy-paste agent outputs between steps — don't summarize, use the full output"**
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## Problem It Solves
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- 摘要会丢失关键细节
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- 压缩可能遗漏重要上下文
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- 智能体不具备共享记忆
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## Best Practices
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1. **完整复制**:将上一智能体的输出完整粘贴到下一智能体的输入
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2. **不要摘要**:即使很长也要完整传递
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3. **不要解释**:让接收智能体自己解析和处理完整信息
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4. **包含所有内容**:原始输出、元数据、证据、决策理由等
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## Example
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在 Multi-Agent Workflow: Startup MVP 中:
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```
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Sprint Prioritizer 输出 → [完整粘贴] → Backend Architect 输入
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UX Researcher 输出 → [完整粘贴] → Backend Architect 输入
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Backend Architect 输出 → [完整粘贴] → Frontend Developer 输入
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```
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## Trade-offs
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- **优点**:最大化信息保留,便于接收智能体做出完整判断
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- **缺点**:消耗更多上下文窗口,可能需要更长的处理时间
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## Related Concepts
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- [[Sequential Handoffs]]:顺序交接模式
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- [[Parallel Work]]:并行工作模式
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- [[Quality Gates]]:质量门控
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- [[Multi-Agent Team]]:多智能体团队
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