智能体部署失败往往出在基础设施而非模型本身，Nebius 的开源架构直接给出了生产级参考方案，做智能体开发的团队可以拿来就用，省去自己踩坑的时间。
Nebius 发布了 Agent Blueprint，这是一个开源参考架构，旨在解决 AI 智能体在生产环境中因基础设施问题而失败的问题。该架构连接了智能体栈各层的成熟组件，包括 Deep Agents 和 LangSmith。它提供了构建、运营和持续改进生产级智能体的标准化方案，帮助开发者避免常见陷阱。对于正在构建或计划部署 AI 智能体的团队来说，这是一个值得关注的参考框架。
The @nebiusai Agent Blueprint’s open reference architecture connects proven components at each layer...
The @nebiusai Agent Blueprint’s open reference architecture connects proven components at each layer of the agent stack. We’re excited to have Deep Agents and LangSmith as part of it. Full announcement ⤵️ Nebius @nebiusai Most #AIAgents don't fail because of the model. They fail because of the infrastructure around it. Introducing the Nebius Agents Blueprint: an open architecture for building, operating, and continuously improving agents in production. nebius.com/blog/posts/int… 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 1 👀 479 📊 1 ⚡