参考来源¶

下面是当前版本书籍所依赖的核心一手来源。访问日期：2026 年 3 月 29 日。

智能体架构与模式¶

• Dmitry Vikulin, “Architecture of Reliable AI Agents”
• Anthropic, Building Effective AI Agents
• LangGraph, Overview
• LangChain, Multi-agent
• OpenAI, Agents SDK
• OpenAI, Agent Builder

可靠性、记忆与 HITL¶

• LangGraph, Durable execution
• LangGraph, Memory overview
• LangChain Deep Agents, Human-in-the-loop

安全与治理¶

• OWASP, LLM Prompt Injection Prevention Cheat Sheet
• NIST, AI RMF 1.0
• NIST, AI RMF: Generative AI Profile
• NIST, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
• Anthropic, Claude Code Security
• Google Cloud, Google Agentspace
• Google Cloud, Vertex AI Agent Builder

可观测性与质量评估¶

• OpenAI, Agent evals
• OpenAI, Trace grading
• Google Cloud, Observability and monitoring

发布与工具链¶

• MkDocs, Official documentation
• Material for MkDocs, Official documentation
• uv, Working on projects
• ty, Official documentation
• Starlight, Official documentation

如何使用这份列表¶

如果你继续扩展本书，建议阅读顺序如下：

1. 安全与风险框架：NIST、OWASP。
2. 架构模式：Anthropic、LangGraph、OpenAI。
3. 治理与平台控制：Google Cloud、OpenAI、Anthropic。
4. 工具链与发布：MkDocs、uv、ty、Starlight。