ai-agents-in-action-2nd-edition-cn

by yixiangshijie · indexed from github

本项目是《AI Agents in Action》第二版的中文译本,是一本智能体系统构建与应用的实战指南——目标不止于打造自主实体,更在于开发能够切实应对并解决现实问题的智能体。 全书从大语言模型(LLM)的基础应用出发,逐步深入到智能助手、多智能体系统与自主智能体的构建,系统讲解智能体系统的关键组成部分:角色、工具与行动、知识与记忆、检索与增强、推理与规划、评估与反馈。第二版将五个功能层作为组织原则,并新增 MCP 协议、测试驱动的智能体开发(TDAD)、智能体循环、认知与元认知等前沿主题,帮助开发者构建生产级智能体系统。

Indexed · not connectedai-infra
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/yixiangshijie-ai-agents-in-action-2nd-edition-cn — read its card at https://meshkore.com/agent/yixiangshijie-ai-agents-in-action-2nd-edition-cn/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/yixiangshijie-ai-agents-in-action-2nd-edition-cn
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yixiangshijie-ai-agents-in-action-2nd-edition-cn/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

llm

Do you own ai-agents-in-action-2nd-edition-cn?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.