# aliyun/ai-agent-handbook architecture

> Architecture diagram of the GitHub repository aliyun/ai-agent-handbook, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-29). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/aliyun/ai-agent-handbook
- Repository: https://github.com/aliyun/ai-agent-handbook

## Overview

This repository is a handbook, not an executable Agent platform. Its reader workflow is to learn the architecture, study how to build and run Agents, apply governance and optimization practices, then consult enterprise cases. The graph reflects the documented lifecycle and recommended reading paths; it does not imply runtime calls between chapters.

Main entry points: [`01-architecture`](https://github.com/aliyun/ai-agent-handbook/tree/main/01-architecture) (Agent Architecture), [`02-build/第 3 章 范式：Harness 的主流构建方式和责任边界.md`](https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%203%20%E7%AB%A0%20%E8%8C%83%E5%BC%8F%EF%BC%9AHarness%20%E7%9A%84%E4%B8%BB%E6%B5%81%E6%9E%84%E5%BB%BA%E6%96%B9%E5%BC%8F%E5%92%8C%E8%B4%A3%E4%BB%BB%E8%BE%B9%E7%95%8C.md) (Harness Design), [`02-build/第 4 章 任务：编排、长程推进与协作流转.md`](https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%204%20%E7%AB%A0%20%E4%BB%BB%E5%8A%A1%EF%BC%9A%E7%BC%96%E6%8E%92%E3%80%81%E9%95%BF%E7%A8%8B%E6%8E%A8%E8%BF%9B%E4%B8%8E%E5%8D%8F%E4%BD%9C%E6%B5%81%E8%BD%AC.md) (Task Orchestration), [`02-build/第 5 章 信息：上下文、状态与可复用能力资产.md`](https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%205%20%E7%AB%A0%20%E4%BF%A1%E6%81%AF%EF%BC%9A%E4%B8%8A%E4%B8%8B%E6%96%87%E3%80%81%E7%8A%B6%E6%80%81%E4%B8%8E%E5%8F%AF%E5%A4%8D%E7%94%A8%E8%83%BD%E5%8A%9B%E8%B5%84%E4%BA%A7.md) (Context and State)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_foundation["Architecture and Build"]
  node_architecture["Agent Architecture"]
  node_harness["Harness Design"]
  node_tasks["Task Orchestration"]
  node_context["Context and State"]
  node_actions["Controlled Actions"]
end

subgraph group_runtime["Runtime"]
  node_sandbox["Runtime and Sandbox"]
  node_state["State and Assets"]
  node_gateway["AI Gateway"]
  node_async["Async Workflows"]
  node_multiagent["Multi-Agent Orchestration"]
  node_communication["Distributed Communication"]
end

subgraph group_governance["Governance"]
  node_observability["Observability"]
  node_security["Agent Security"]
  node_assets["Asset Management"]
  node_simulation["Behavior Validation"]
end

subgraph group_optimization["Optimization"]
  node_model_tuning["Model Tuning<br/>[第 17 章 模型调优.md]"]
  node_agent_tuning["Agent Improvement"]
  node_trajectory["Trajectory Data"]
  node_data_processing["Runtime Data Processing"]
  node_golden_data["Golden Datasets"]
  node_badcase["Badcase Optimization"]
  node_self_evolution["Controlled Evolution<br/>[第 23 章 受控自进化.md]"]
  node_edge["Edge Runtime"]
end

subgraph group_practice["Cases and Outlook"]
  node_cases["Enterprise Cases"]
  node_future["Agentic OS Outlook"]
end

node_reader(("Reader"))
node_survey["Developer Survey"]

node_reader -->|"surveys practice"| node_survey
node_reader -->|"learns architecture"| node_architecture
node_architecture -->|"frames building"| node_harness
node_harness -->|"organizes work"| node_tasks
node_tasks -->|"uses information"| node_context
node_context -->|"enables actions"| node_actions
node_reader -->|"studies runtime"| node_sandbox
node_reader -->|"studies governance"| node_observability
node_reader -->|"studies improvement"| node_agent_tuning
node_reader -->|"consults cases"| node_cases
node_reader -->|"explores outlook"| node_future
node_sandbox -->|"pairs with"| node_state
node_reader -->|"studies traffic"| node_gateway
node_reader -->|"studies automation"| node_async
node_reader -->|"studies collaboration"| node_multiagent
node_multiagent -->|"needs communication"| node_communication
node_reader -->|"studies safeguards"| node_security
node_reader -->|"studies discovery"| node_assets
node_reader -->|"studies validation"| node_simulation
node_agent_tuning -->|"uses evidence"| node_trajectory
node_trajectory -->|"informs processing"| node_data_processing
node_data_processing -->|"prepares datasets"| node_golden_data
node_golden_data -->|"supports regression"| node_badcase
node_badcase -->|"informs improvement"| node_self_evolution
node_reader -->|"studies models"| node_model_tuning
node_reader -->|"studies deployment"| node_edge

click node_survey "https://github.com/aliyun/ai-agent-handbook/blob/main/2026-agent-survey-report.md"
click node_architecture "https://github.com/aliyun/ai-agent-handbook/tree/main/01-architecture"
click node_harness "https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%203%20%E7%AB%A0%20%E8%8C%83%E5%BC%8F%EF%BC%9AHarness%20%E7%9A%84%E4%B8%BB%E6%B5%81%E6%9E%84%E5%BB%BA%E6%96%B9%E5%BC%8F%E5%92%8C%E8%B4%A3%E4%BB%BB%E8%BE%B9%E7%95%8C.md"
click node_tasks "https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%204%20%E7%AB%A0%20%E4%BB%BB%E5%8A%A1%EF%BC%9A%E7%BC%96%E6%8E%92%E3%80%81%E9%95%BF%E7%A8%8B%E6%8E%A8%E8%BF%9B%E4%B8%8E%E5%8D%8F%E4%BD%9C%E6%B5%81%E8%BD%AC.md"
click node_context "https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%205%20%E7%AB%A0%20%E4%BF%A1%E6%81%AF%EF%BC%9A%E4%B8%8A%E4%B8%8B%E6%96%87%E3%80%81%E7%8A%B6%E6%80%81%E4%B8%8E%E5%8F%AF%E5%A4%8D%E7%94%A8%E8%83%BD%E5%8A%9B%E8%B5%84%E4%BA%A7.md"
click node_actions "https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%206%20%E7%AB%A0%20%E8%A1%8C%E5%8A%A8%EF%BC%9A%E5%8F%97%E6%8E%A7%E6%89%A7%E8%A1%8C%E3%80%81%E9%AA%8C%E8%AF%81%E5%8F%8D%E9%A6%88%E4%B8%8E%E4%BA%A4%E4%BB%98%E5%87%86%E5%A4%87.md"
click node_sandbox "https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%207%20%E7%AB%A0%20%20Agent%20%E8%BF%90%E8%A1%8C%E6%97%B6%E4%B8%8E%E6%B2%99%E7%AE%B1.md"
click node_state "https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%208%20%E7%AB%A0%20Agent%20%E7%8A%B6%E6%80%81%E5%AD%98%E5%82%A8%E4%B8%8E%E8%AF%AD%E4%B9%89%E8%B5%84%E4%BA%A7.md"
click node_gateway "https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%209%20%E7%AB%A0%20%20AI%20%E7%BD%91%E5%85%B3%E4%B8%8E%E7%BB%9F%E4%B8%80%E6%B5%81%E9%87%8F%E6%B2%BB%E7%90%86.md"
click node_async "https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%2010%20%E7%AB%A0%20%20Agent%20%E5%BC%82%E6%AD%A5%E4%BB%BB%E5%8A%A1%E4%B8%8E%E8%87%AA%E5%8A%A8%E5%8C%96%E6%B5%81%E7%A8%8B.md"
click node_multiagent "https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%2011%E7%AB%A0%20%20Multi-Agent%20%E5%8D%8F%E4%BD%9C%E4%B8%8E%E7%BC%96%E6%8E%92.md"
click node_communication "https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%2012%20%E7%AB%A0%20Agent%20%E5%88%86%E5%B8%83%E5%BC%8F%E9%80%9A%E4%BF%A1.md"
click node_observability "https://github.com/aliyun/ai-agent-handbook/blob/main/04-governance/%E7%AC%AC%2013%20%E7%AB%A0%E3%80%80Agent%20%E7%9A%84%E5%8F%AF%E8%A7%82%E6%B5%8B%E6%80%A7.md"
click node_assets "https://github.com/aliyun/ai-agent-handbook/blob/main/04-governance/%E7%AC%AC%2015%20%E7%AB%A0%E3%80%80AI%20%E8%B5%84%E4%BA%A7%E7%9A%84%E5%8F%91%E7%8E%B0%E4%B8%8E%E7%AE%A1%E7%90%86.md"
click node_simulation "https://github.com/aliyun/ai-agent-handbook/blob/main/04-governance/%E7%AC%AC%2016%20%E7%AB%A0%E3%80%80Agent%20%E8%A1%8C%E4%B8%BA%E7%94%9F%E6%88%90%E4%B8%8E%E8%B4%A8%E9%87%8F%E9%AA%8C%E8%AF%81.md"
click node_model_tuning "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2017%20%E7%AB%A0%E3%80%80%E6%A8%A1%E5%9E%8B%E8%B0%83%E4%BC%98.md"
click node_agent_tuning "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2018%20%E7%AB%A0%E3%80%80Agent%20%E8%B0%83%E4%BC%98%E6%80%BB%E8%A7%88.md"
click node_trajectory "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2019%20%E7%AB%A0%E3%80%80Agent%20%E8%BD%A8%E8%BF%B9%E6%95%B0%E6%8D%AE.md"
click node_data_processing "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2020%20%E7%AB%A0%E3%80%80Agent%20%E8%BF%90%E8%A1%8C%E6%97%B6%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86.md"
click node_golden_data "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2021%20%E7%AB%A0%E3%80%80Agent%20%E9%BB%84%E9%87%91%E6%95%B0%E6%8D%AE%E9%9B%86.md"
click node_badcase "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2022%20%E7%AB%A0%E3%80%80Agent%20%E4%BC%98%E5%8C%96%EF%BC%9ABadcase.md"
click node_self_evolution "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2023%20%E7%AB%A0%E3%80%80%E5%8F%97%E6%8E%A7%E8%87%AA%E8%BF%9B%E5%8C%96.md"
click node_edge "https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2024%20%E7%AB%A0%E3%80%80Agent%20%E8%BE%B9%E7%BC%98%E8%BF%90%E8%A1%8C%E6%97%B6%E4%B8%8E%E5%85%A8%E7%90%83%E4%BC%98%E5%8C%96.md"
click node_cases "https://github.com/aliyun/ai-agent-handbook/tree/main/06-case-study"
click node_future "https://github.com/aliyun/ai-agent-handbook/blob/main/07-conclusion/%E7%AC%AC%2030%20%E7%AB%A0%20%E4%BB%8E%20Agentic%20Application%20%E5%88%B0%20Agentic%20OS.md"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_architecture,node_harness,node_tasks,node_context,node_actions toneBlue
class node_sandbox,node_state,node_gateway,node_async,node_multiagent,node_communication toneAmber
class node_observability,node_security,node_assets,node_simulation toneMint
class node_model_tuning,node_agent_tuning,node_trajectory,node_data_processing,node_golden_data,node_badcase,node_self_evolution,node_edge toneRose
class node_cases,node_future,node_reader toneIndigo
class node_survey toneTeal
```

## Components

### Architecture and Build

- [Agent Architecture](https://github.com/aliyun/ai-agent-handbook/tree/main/01-architecture): `01-architecture`
- [Harness Design](https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%203%20%E7%AB%A0%20%E8%8C%83%E5%BC%8F%EF%BC%9AHarness%20%E7%9A%84%E4%B8%BB%E6%B5%81%E6%9E%84%E5%BB%BA%E6%96%B9%E5%BC%8F%E5%92%8C%E8%B4%A3%E4%BB%BB%E8%BE%B9%E7%95%8C.md): `02-build/第 3 章 范式：Harness 的主流构建方式和责任边界.md`
- [Task Orchestration](https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%204%20%E7%AB%A0%20%E4%BB%BB%E5%8A%A1%EF%BC%9A%E7%BC%96%E6%8E%92%E3%80%81%E9%95%BF%E7%A8%8B%E6%8E%A8%E8%BF%9B%E4%B8%8E%E5%8D%8F%E4%BD%9C%E6%B5%81%E8%BD%AC.md): `02-build/第 4 章 任务：编排、长程推进与协作流转.md`
- [Context and State](https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%205%20%E7%AB%A0%20%E4%BF%A1%E6%81%AF%EF%BC%9A%E4%B8%8A%E4%B8%8B%E6%96%87%E3%80%81%E7%8A%B6%E6%80%81%E4%B8%8E%E5%8F%AF%E5%A4%8D%E7%94%A8%E8%83%BD%E5%8A%9B%E8%B5%84%E4%BA%A7.md): `02-build/第 5 章 信息：上下文、状态与可复用能力资产.md`
- [Controlled Actions](https://github.com/aliyun/ai-agent-handbook/blob/main/02-build/%E7%AC%AC%206%20%E7%AB%A0%20%E8%A1%8C%E5%8A%A8%EF%BC%9A%E5%8F%97%E6%8E%A7%E6%89%A7%E8%A1%8C%E3%80%81%E9%AA%8C%E8%AF%81%E5%8F%8D%E9%A6%88%E4%B8%8E%E4%BA%A4%E4%BB%98%E5%87%86%E5%A4%87.md): `02-build/第 6 章 行动：受控执行、验证反馈与交付准备.md`

### Runtime

- [Runtime and Sandbox](https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%207%20%E7%AB%A0%20%20Agent%20%E8%BF%90%E8%A1%8C%E6%97%B6%E4%B8%8E%E6%B2%99%E7%AE%B1.md): `03-run/第 7 章 Agent 运行时与沙箱.md`
- [State and Assets](https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%208%20%E7%AB%A0%20Agent%20%E7%8A%B6%E6%80%81%E5%AD%98%E5%82%A8%E4%B8%8E%E8%AF%AD%E4%B9%89%E8%B5%84%E4%BA%A7.md): `03-run/第 8 章 Agent 状态存储与语义资产.md`
- [AI Gateway](https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%209%20%E7%AB%A0%20%20AI%20%E7%BD%91%E5%85%B3%E4%B8%8E%E7%BB%9F%E4%B8%80%E6%B5%81%E9%87%8F%E6%B2%BB%E7%90%86.md): `03-run/第 9 章 AI 网关与统一流量治理.md`
- [Async Workflows](https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%2010%20%E7%AB%A0%20%20Agent%20%E5%BC%82%E6%AD%A5%E4%BB%BB%E5%8A%A1%E4%B8%8E%E8%87%AA%E5%8A%A8%E5%8C%96%E6%B5%81%E7%A8%8B.md): `03-run/第 10 章 Agent 异步任务与自动化流程.md`
- [Multi-Agent Orchestration](https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%2011%E7%AB%A0%20%20Multi-Agent%20%E5%8D%8F%E4%BD%9C%E4%B8%8E%E7%BC%96%E6%8E%92.md): `03-run/第 11章 Multi-Agent 协作与编排.md`
- [Distributed Communication](https://github.com/aliyun/ai-agent-handbook/blob/main/03-run/%E7%AC%AC%2012%20%E7%AB%A0%20Agent%20%E5%88%86%E5%B8%83%E5%BC%8F%E9%80%9A%E4%BF%A1.md): `03-run/第 12 章 Agent 分布式通信.md`

### Governance

- [Observability](https://github.com/aliyun/ai-agent-handbook/blob/main/04-governance/%E7%AC%AC%2013%20%E7%AB%A0%E3%80%80Agent%20%E7%9A%84%E5%8F%AF%E8%A7%82%E6%B5%8B%E6%80%A7.md): `04-governance/第 13 章 Agent 的可观测性.md`
- **Agent Security**
- [Asset Management](https://github.com/aliyun/ai-agent-handbook/blob/main/04-governance/%E7%AC%AC%2015%20%E7%AB%A0%E3%80%80AI%20%E8%B5%84%E4%BA%A7%E7%9A%84%E5%8F%91%E7%8E%B0%E4%B8%8E%E7%AE%A1%E7%90%86.md): `04-governance/第 15 章 AI 资产的发现与管理.md`
- [Behavior Validation](https://github.com/aliyun/ai-agent-handbook/blob/main/04-governance/%E7%AC%AC%2016%20%E7%AB%A0%E3%80%80Agent%20%E8%A1%8C%E4%B8%BA%E7%94%9F%E6%88%90%E4%B8%8E%E8%B4%A8%E9%87%8F%E9%AA%8C%E8%AF%81.md): `04-governance/第 16 章 Agent 行为生成与质量验证.md`

### Optimization

- [Model Tuning](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2017%20%E7%AB%A0%E3%80%80%E6%A8%A1%E5%9E%8B%E8%B0%83%E4%BC%98.md): `05-optimization/第 17 章 模型调优.md`
- [Agent Improvement](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2018%20%E7%AB%A0%E3%80%80Agent%20%E8%B0%83%E4%BC%98%E6%80%BB%E8%A7%88.md): `05-optimization/第 18 章 Agent 调优总览.md`
- [Trajectory Data](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2019%20%E7%AB%A0%E3%80%80Agent%20%E8%BD%A8%E8%BF%B9%E6%95%B0%E6%8D%AE.md): `05-optimization/第 19 章 Agent 轨迹数据.md`
- [Runtime Data Processing](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2020%20%E7%AB%A0%E3%80%80Agent%20%E8%BF%90%E8%A1%8C%E6%97%B6%E6%95%B0%E6%8D%AE%E5%A4%84%E7%90%86.md): `05-optimization/第 20 章 Agent 运行时数据处理.md`
- [Golden Datasets](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2021%20%E7%AB%A0%E3%80%80Agent%20%E9%BB%84%E9%87%91%E6%95%B0%E6%8D%AE%E9%9B%86.md): `05-optimization/第 21 章 Agent 黄金数据集.md`
- [Badcase Optimization](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2022%20%E7%AB%A0%E3%80%80Agent%20%E4%BC%98%E5%8C%96%EF%BC%9ABadcase.md): `05-optimization/第 22 章 Agent 优化：Badcase.md`
- [Controlled Evolution](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2023%20%E7%AB%A0%E3%80%80%E5%8F%97%E6%8E%A7%E8%87%AA%E8%BF%9B%E5%8C%96.md): `05-optimization/第 23 章 受控自进化.md`
- [Edge Runtime](https://github.com/aliyun/ai-agent-handbook/blob/main/05-optimization/%E7%AC%AC%2024%20%E7%AB%A0%E3%80%80Agent%20%E8%BE%B9%E7%BC%98%E8%BF%90%E8%A1%8C%E6%97%B6%E4%B8%8E%E5%85%A8%E7%90%83%E4%BC%98%E5%8C%96.md): `05-optimization/第 24 章 Agent 边缘运行时与全球优化.md`

### Cases and Outlook

- [Enterprise Cases](https://github.com/aliyun/ai-agent-handbook/tree/main/06-case-study): `06-case-study`
- [Agentic OS Outlook](https://github.com/aliyun/ai-agent-handbook/blob/main/07-conclusion/%E7%AC%AC%2030%20%E7%AB%A0%20%E4%BB%8E%20Agentic%20Application%20%E5%88%B0%20Agentic%20OS.md): `07-conclusion/第 30 章 从 Agentic Application 到 Agentic OS.md`

### Other components

- **Reader**
- [Developer Survey](https://github.com/aliyun/ai-agent-handbook/blob/main/2026-agent-survey-report.md): `2026-agent-survey-report.md`

## Connections

- Reader → Developer Survey: surveys practice
- Reader → Agent Architecture: learns architecture
- Agent Architecture → Harness Design: frames building
- Harness Design → Task Orchestration: organizes work
- Task Orchestration → Context and State: uses information
- Context and State → Controlled Actions: enables actions
- Reader → Runtime and Sandbox: studies runtime
- Reader → Observability: studies governance
- Reader → Agent Improvement: studies improvement
- Reader → Enterprise Cases: consults cases
- Reader → Agentic OS Outlook: explores outlook
- Runtime and Sandbox → State and Assets: pairs with
- Reader → AI Gateway: studies traffic
- Reader → Async Workflows: studies automation
- Reader → Multi-Agent Orchestration: studies collaboration
- Multi-Agent Orchestration → Distributed Communication: needs communication
- Reader → Agent Security: studies safeguards
- Reader → Asset Management: studies discovery
- Reader → Behavior Validation: studies validation
- Agent Improvement → Trajectory Data: uses evidence
- Trajectory Data → Runtime Data Processing: informs processing
- Runtime Data Processing → Golden Datasets: prepares datasets
- Golden Datasets → Badcase Optimization: supports regression
- Badcase Optimization → Controlled Evolution: informs improvement
- Reader → Model Tuning: studies models
- Reader → Edge Runtime: studies deployment