# sundynix-agentix · 系统架构图
分层式 AI Agent 平台 — **Monolith First → Microservices (Morph B)** 演进。
共 **5 层 + 1 条 NATS 零拷贝消息总线**。
> 下方 Mermaid 图在 GitHub / VS Code(装 Mermaid 插件) / Typora / Obsidian 中可直接渲染。
```mermaid
flowchart TB
%% ===================== 1. CLIENT =====================
subgraph CLIENT["1 · CLIENT LAYER (Edge Interaction)"]
direction TB
subgraph DESKTOP["sundynix-desktop (User Device App)"]
UI["UI Representation Layer
React 19 + TypeScript"]
SHAD["shadcn/ui + Tailwind CSS
Styles / Components"]
RF["React Flow Canvas
Agent Orchestration"]
DSL["JSON DSL export"]
WIKI["LLM Wiki Management Panel"]
WAILS["Wails Local Go Runtime"]
BIND["Strong Binding TS/Go"]
FS["Local File System I/O"]
UI --> SHAD --> RF --> DSL
RF --> WIKI --> WAILS
WAILS --> BIND
WAILS --> FS
end
end
%% ===================== 2. GATEWAY =====================
subgraph GATEWAY["2 · BUSINESS GATEWAY LAYER"]
direction TB
subgraph GW["sundynix-gateway (Gin 微服务 · Monolith First)"]
GIN["Gin 微服务 / 统一接入层"]
MAINDB[("MainDB
PgSQL: Users, Billing, DSL")]
CACHE1[("CacheDB
Session / Rate Limit")]
CACHE2[("CacheDB
Redis: Session, Rate Limit")]
BILL["商业化与计费模块"]
GUARD["Harness: Input/Output Guardrail"]
PARSER["Task DSL Parser & Assembly"]
GIN --> MAINDB
GIN --> CACHE1
GIN --> CACHE2
GIN --> BILL
GIN --> GUARD
GIN --> PARSER
end
end
%% ===================== 3. NATS =====================
subgraph NATS["3 · MESSAGE BUS — NATS 零拷贝骨干网"]
direction LR
QUEUE["NATS Queue
分布式任务队列
sundynix.tasks.*"]
STREAM["NATS Stream
零拷贝字节管道
sundynix.streams.*"]
end
%% ===================== 4. DISPATCHER =====================
subgraph DISPATCHER["4 · AI AGENT DISPATCHER LAYER"]
direction TB
LLMPOOL[("LLM Pool
vLLM / Ollama 集群")]
subgraph DISP["sundynix-dispatcher (Go / Eino 集群)"]
EINO["Eino 图编排引擎"]
NATSGO["nats.go client"]
EVAL["Harness: LLM 自动化评测"]
FUSE["Harness: 熔断降级中心"]
EINO <--> NATSGO
end
LLMPOOL <-->|"EinoCore · Eino 回调机制"| EINO
end
%% ===================== 5. MCP TOOLS =====================
subgraph TOOLS["5 · MICROSERVICE MCP TOOLS LAYER (Morph B)"]
direction TB
subgraph MCPGO["sundynix-mcp-go (Go 微服务 · I/O 型)"]
GGW["MCP Protocol Gateway"]
SEARCH["LLM Wiki 搜索引擎
Hybrid: Bleve · Milvus Go SDK · Neo4j Go Driver"]
MILVUS[("Milvus · Vector DB")]
BLEVE["Bleve · Go Search Index"]
NEO1[("Neo4j · Knowledge Graph")]
NEO2[("Neo4j · Graph")]
UNI["UniOffice · Word/Doc Rendering"]
EXT["External APIs"]
GGW --> SEARCH --> MILVUS & BLEVE & NEO1 & NEO2
GGW --> UNI
GGW --> EXT
end
subgraph MCPPY["sundynix-mcp-py (Python 微服务 · 算法型)"]
PGW["MCP Protocol Gateway"]
SANDBOX["Harness: Secure Code Sandbox
gVisor / KataVM · Static Code Guard"]
MINERU["MinerU · Multimodal Parser (PaddleOCR)"]
DOCKER["Docker 隔离沙箱 · Code Interpreter"]
PGW --> SANDBOX --> MINERU --> DOCKER
end
end
%% ===================== 跨层连线 =====================
DESKTOP <==>|"4 · PHYSICAL COMMUNICATION
HTTPS / WebSocket / SSE
sundynix.streams.task_id (Token Stream)"| GIN
PARSER ==>|"1 · Publish Task DSL"| QUEUE
STREAM ==>|"4 · Subscribe Stream"| GIN
QUEUE <==>|"4 · Subscribe Stream"| NATSGO
STREAM <==> NATSGO
NATS ==> MCPGO
NATS ==> MCPPY
%% ===================== 配色 =====================
classDef client fill:#fdf2e3,stroke:#e0a85a,color:#1c2b3a;
classDef gateway fill:#dcecf7,stroke:#5fa9d4,color:#1c2b3a;
classDef nats fill:#e7f4e1,stroke:#86c06a,color:#1c2b3a;
classDef dispatcher fill:#efe5f8,stroke:#a984cf,color:#1c2b3a;
classDef gotools fill:#d6e7f3,stroke:#5fa9d4,color:#1c2b3a;
classDef pytools fill:#fbf3cf,stroke:#d8bf52,color:#1c2b3a;
class CLIENT,DESKTOP,UI,SHAD,RF,DSL,WIKI,WAILS,BIND,FS client;
class GATEWAY,GW,GIN,MAINDB,CACHE1,CACHE2,BILL,GUARD,PARSER gateway;
class NATS,QUEUE,STREAM nats;
class DISPATCHER,DISP,LLMPOOL,EINO,NATSGO,EVAL,FUSE dispatcher;
class TOOLS,MCPGO,GGW,SEARCH,MILVUS,BLEVE,NEO1,NEO2,UNI,EXT gotools;
class MCPPY,PGW,SANDBOX,MINERU,DOCKER pytools;
```
---
## 分层说明
| 层 | 组件 | 技术栈 / 职责 | 配色 |
|---|---|---|---|
| **1. Client** | `sundynix-desktop` | React 19 + TS、shadcn/ui + Tailwind、React Flow 画布(Agent 编排 → 导出 JSON DSL)、LLM Wiki 面板、Wails 本地 Go 运行时、TS/Go 强绑定、本地文件 I/O | 🟧 橙 |
| **2. Gateway** | `sundynix-gateway` | Gin 统一接入层;MainDB(PgSQL: Users/Billing/DSL) + CacheDB(Redis: Session/Rate Limit);商业化计费;输入/输出 Guardrail;**Task DSL 解析与组装** | 🟦 蓝 |
| **3. 消息总线** | `NATS Server (Go)` | 零拷贝骨干网:Queue(`sundynix.tasks.*` 分布式任务队列) + Stream(`sundynix.streams.*` 零拷贝字节管道) | 🟩 绿 |
| **4. Dispatcher** | `sundynix-dispatcher` | Go/Eino 集群:Eino 图编排引擎 + nats.go client,经 EinoCore/回调驱动 LLM Pool(vLLM/Ollama);LLM 自动化评测、熔断降级中心 | 🟪 紫 |
| **5a. MCP Go** | `sundynix-mcp-go` | Go I/O 型:MCP 协议网关、Wiki 混合检索(Bleve+Milvus+Neo4j)、UniOffice 文档渲染、外部 API | 🟦 蓝 |
| **5b. MCP Py** | `sundynix-mcp-py` | Python 算法型:MCP 协议网关、安全代码沙箱(gVisor/KataVM)、MinerU 多模态解析(PaddleOCR)、Docker 代码解释器 | 🟨 黄 |
## 核心数据流(图中编号)
1. **Publish Task DSL** — Gateway 解析 DSL 后发布任务到 NATS Queue (`sundynix.tasks.*`)
2. **订阅与编排** — Dispatcher 经 `nats.go` 订阅任务,Eino 图编排引擎驱动 LLM Pool 推理
3. **调用 MCP 工具** — Dispatcher / Gateway 经 NATS 调用第 5 层 Go(I/O 型) + Python(算法型) 工具
4. **Token Stream 回流** — 推理结果以零拷贝流经 `sundynix.streams.task_id` 回 Gateway → 经 SSE/WebSocket 推送给 Client