# 第九章 AgentOps 与生产化落地

写好提示词只是第一步。将智能体发布到生产环境面临着并发、延迟、成本、错误处理等工程挑战。本章探讨如何构建健壮、可观测、可扩展的智能体系统。核心路径：架构设计模式 → 鲁棒性与可观测性 → 成本与性能优化 → 企业安全治理 → 故障恢复与上线清单。

## 学习目标

完成本章后，你将能够：

1. **选择** 合适的架构模式(ReAct/编排-执行/反思)
2. **实现** 全链路可观测性与监控调试
3. **优化** 成本控制与延迟性能
4. **部署** 企业级安全与合规治理
5. **诊断** 故障与实现韧性设计

***

**下一节**: [9.1 设计模式：从 Workflow 到 Agent](/agentic_ai_guide/di-san-bu-fen-gong-cheng-shi-jian-yu-luo-di/09_agentops/9.1_design_patterns.md)

> **新增**：本章新增了 [9.2 Harness 架构](/agentic_ai_guide/di-san-bu-fen-gong-cheng-shi-jian-yu-luo-di/09_agentops/9.2_harness.md)，介绍从 Prompt Engineering → Context Engineering → Harness Engineering 的工程范式演进，以及生产级 Agent Harness 的四大核心子系统。


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://yeasy.gitbook.io/agentic_ai_guide/di-san-bu-fen-gong-cheng-shi-jian-yu-luo-di/09_agentops.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.