Anthropic 发布 AI 智能体上下文工程指南
Effective context engineering for AI agents Sep 29, 2025
做 AI 智能体的开发者终于有了系统性的上下文设计方法论——Anthropic 把工程经验总结成了可复用的原则，直接照着改 prompt 就能看到效果提升，建议点开收藏。
Anthropic 发布了一篇关于 AI 智能体上下文工程的技术文章，详细介绍了如何通过精心设计系统提示、用户消息和工具定义来提升智能体的表现。
文章提出了上下文工程的核心原则，包括明确角色、提供示例、分解任务、控制输出格式等。这些方法能显著减少智能体的幻觉和错误，提高任务完成率。
对于正在构建或优化 AI 智能体的开发者来说，这是一份实用的操作手册。
This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include 智能体, 上下文工程, Anthropic, 提示词工程.
Primary source verification: published directly by Anthropic: Engineering with first-party authority. Cross-source corroboration: 4 independent sources have covered this development (including arXiv: Anthropic, The Rundown AI, Vercel AI), confirming industry-wide signal strength.
