24 KiB
24 KiB
Bookworm Smart Assistant v5.7 — 技术架构总览
生成时间: 2026-03-02 | 共 14 张架构图 在线预览: 粘贴至 Mermaid Live Editor 或 GitHub
图 1. 系统全景架构
graph TB
subgraph USER["用户层"]
Input["用户输入"]
SlashCmd["/skill-name 显式调用"]
end
subgraph GATEWAY["Neural Gateway v5.7"]
direction TB
Hook1["route-interceptor<br/>(UserPromptSubmit)"]
Tokenizer["分词 + 同义词展开<br/>22 组同义词"]
BM25["BM25 语义评分<br/>+ TF-IDF 三层加权"]
ContextFusion["上下文感知融合<br/>BM25(0.6) + 会话(0.2)<br/>+ 项目(0.1) + 工作流(0.1)"]
Disambig["消歧规则引擎<br/>31 条 JSON 规则"]
BWR["[BWR] 路由指令注入"]
end
subgraph COMPLIANCE["合规门控"]
PreTool["route-compliance-gate<br/>(PreToolUse:Skill)"]
PostAudit["route-auditor<br/>(Stop)"]
end
subgraph SKILLS["技能层 (52 Skills)"]
direction LR
S_AI["AI/数据 (3)"]
S_DEV["开发 (12)"]
S_ARCH["架构 (8)"]
S_OPS["DevOps (4)"]
S_SEC["安全 (1)"]
S_QA["质量 (3)"]
S_PROD["产品/设计 (4)"]
S_BIZ["商业/研究 (9)"]
S_CONTENT["内容/传播 (5)"]
S_META["元技能/编排 (3)"]
end
subgraph AGENTS["智能体层 (10 Agents)"]
direction LR
A_OPUS["Opus (2)<br/>orchestrator<br/>code-reviewer"]
A_SONNET["Sonnet (8)<br/>research-analyst | full-stack-builder<br/>quality-gate | self-auditor<br/>self-healer | canvas-ui-designer<br/>test-writer | pre-deploy-checker"]
end
subgraph MCP_LAYER["MCP 三层生态 (22+3)"]
direction LR
MCP_LOCAL["本地常驻 (12)<br/>deep-research | context7<br/>sequential-thinking | playwright<br/>chrome-devtools | browserbase<br/>mobile | github | slack<br/>linear | atlassian | supabase"]
MCP_CLOUD["云托管 (9)<br/>sentry | figma | notion<br/>gamma | canva | vercel<br/>cloudinary | scholar-gateway<br/>graphos"]
MCP_PLUGIN["插件市场 (1)<br/>firebase"]
MCP_ONDEMAND["按需模板 (3)<br/>postgres | redis | k8s"]
end
subgraph EVOLUTION["自进化系统"]
direction LR
DriftDetect["drift-detector"]
Auditor["self-auditor<br/>8 维审计"]
Healer["self-healer<br/>元数据修复"]
EvoLog["evolution-log<br/>18 seq"]
end
Input --> Hook1
SlashCmd -.->|"优先级 1: 直接执行"| SKILLS
Hook1 --> Tokenizer --> BM25 --> ContextFusion --> Disambig --> BWR
BWR -->|"[BWR:id] 路由指令"| PreTool
PreTool -->|"PASS"| SKILLS
SKILLS --> PostAudit
SKILLS -.->|"复杂任务"| AGENTS
AGENTS --> MCP_LAYER
SKILLS --> MCP_LAYER
PostAudit -->|"反馈"| EVOLUTION
DriftDetect --> Auditor --> Healer --> EvoLog
EvoLog -.->|"权重学习"| BM25
style GATEWAY fill:#1a1a2e,color:#e0e0ff,stroke:#4a4aff
style COMPLIANCE fill:#2d1b2e,color:#ffccff,stroke:#aa44aa
style SKILLS fill:#1b2e1b,color:#ccffcc,stroke:#44aa44
style AGENTS fill:#2e2e1b,color:#ffffcc,stroke:#aaaa44
style MCP_LAYER fill:#1b2e2e,color:#ccffff,stroke:#44aaaa
style EVOLUTION fill:#2e1b1b,color:#ffcccc,stroke:#aa4444
图 2. 路由引擎核心管线
flowchart LR
subgraph INPUT["输入处理"]
Raw["原始输入"]
Seg["分词"]
Syn["同义词展开<br/>22 组词典"]
end
subgraph SCORING["评分引擎"]
BM25["BM25 评分<br/>k1=1.2, b=0.75"]
TF["TF-IDF 加权<br/>core / strong / extended"]
CTX["上下文融合<br/>会话窗口 10 次<br/>衰减 0.85"]
PRJ["项目类型检测<br/>9 种项目"]
WF["工作流 n-gram<br/>模式匹配"]
end
subgraph DECISION["决策层"]
Fusion["综合评分<br/>BM25x0.6 + CTXx0.2<br/>+ PRJx0.1 + WFx0.1"]
Disamb["消歧规则<br/>31 条"]
Chain["技能链推荐<br/>composable 图"]
Confidence{"置信度?"}
end
subgraph OUTPUT["输出"]
HIGH["HIGH ge 0.8<br/>直接路由"]
MED["MED 0.5-0.8<br/>路由+辅助指引"]
LOW["LOW lt 0.5<br/>developer-expert"]
end
Raw --> Seg --> Syn
Syn --> BM25
BM25 --> TF --> Fusion
CTX --> Fusion
PRJ --> Fusion
WF --> Fusion
Fusion --> Disamb --> Chain --> Confidence
Confidence -->|"ge 0.8"| HIGH
Confidence -->|"0.5~0.8"| MED
Confidence -->|"lt 0.5"| LOW
图 3. 技能全景 (52 Skills x 10 类别)
mindmap
root((Bookworm v5.7<br/>52 Skills))
AI / 数据 3
ai-ml-expert
data-analyst-expert
data-engineer-expert
开发 12
frontend-expert
backend-builder
mobile-expert
miniprogram-expert
developer-expert
debugger-expert
api-integration-specialist
regex-shell-wizard
ultimate-code-expert
browser-automation-expert
workflow-automation-expert
notification-system-expert
架构 8
architect-expert
database-tuning-expert
cloud-native-expert
edge-computing-expert
performance-expert
impact-analyst
diagram-as-code-expert
zero-defect-guardian
DevOps 4
devops-expert
devsecops-expert
git-operation-master
sre-expert
安全 1
security-expert
质量 3
tester-expert
reviewer-expert
project-audit-expert
产品 / 设计 4
product-manager-expert
designer-expert
ux-researcher
project-coordinator
商业 / 研究 9
business-plan-skill
finance-advisor
sales-consultant
pricing-strategist
customer-success-expert
growth-hacker
investor-review-guide
industry-research-cn
legal-review-skill
内容 / 传播 5
tech-writer-expert
copywriter-expert
email-communicator
social-media-manager
technical-seo-expert
元技能 / 编排 3
genesis-engine
prompt-optimizer
tech-lead-mentor
图 4. 智能体编排 (10 Agents)
graph TB
subgraph OPUS["Opus 模型 (2)"]
ORC["orchestrator<br/>目标分解 - 调度 - 验收"]
CR["code-reviewer<br/>多维度代码审查"]
end
subgraph SONNET_COMPOUND["Sonnet 复合型 (3)"]
RA["research-analyst<br/>代码探索 + 技术调研"]
FSB["full-stack-builder<br/>前后端 + DB 端到端"]
QG["quality-gate<br/>PASS / BLOCKED 门控"]
end
subgraph SONNET_SPECIAL["Sonnet 专业型 (3)"]
CUD["canvas-ui-designer<br/>高保真 UI/UX"]
TW["test-writer<br/>自动测试生成"]
PDC["pre-deploy-checker<br/>部署前安全检查"]
end
subgraph SONNET_META["Sonnet 元系统 (2)"]
SA["self-auditor<br/>8 维系统审计"]
SH["self-healer<br/>配置漂移修复"]
end
ORC -->|"分派研究"| RA
ORC -->|"分派实现"| FSB
ORC -->|"分派审查"| CR
ORC -->|"质量验收"| QG
FSB -.->|"实现后"| TW
TW -.->|"测试通过"| PDC
SA -->|"审计报告"| SH
SH -.->|"修复后"| SA
style OPUS fill:#4a1942,color:#ffccff,stroke:#aa44aa
style SONNET_COMPOUND fill:#1a3a1a,color:#ccffcc,stroke:#44aa44
style SONNET_SPECIAL fill:#1a2a3a,color:#cce0ff,stroke:#4488cc
style SONNET_META fill:#3a2a1a,color:#ffe0cc,stroke:#cc8844
图 5. 钩子生命周期 (17 Hooks)
flowchart TB
subgraph SUBMIT["UserPromptSubmit (1)"]
H1["route-interceptor<br/>Neural Gateway 路由注入"]
end
subgraph PRE["PreToolUse (5)"]
H2["block-sensitive-files<br/>Write/Edit/NotebookEdit"]
H3["block-dangerous-commands<br/>Bash"]
H4["commit-message-lint<br/>Bash (git commit)"]
H5["code-quality-gate<br/>Bash"]
H6["route-compliance-gate<br/>Skill"]
end
subgraph POST["PostToolUse (4 主 + 4 sub)"]
H7["post-edit-dispatcher<br/>Edit/Write 并行派遣"]
H7a["check-typescript"]
H7b["check-lint"]
H7c["suggest-tests"]
H7d["drift-detector<br/>integrity-check"]
H8["build-outcome-tracker<br/>Bash 构建结果"]
H9["post-edit-quality-check<br/>反模式扫描"]
H10["activity-logger<br/>JSONL 活动日志"]
end
subgraph OTHER["SubagentStart / Stop (2)"]
H11["subagent-route-injector<br/>子 Agent 上下文注入"]
H12["route-auditor<br/>端到端审计 + 反馈闭环"]
end
H1 -->|"BWR 指令"| PRE
PRE -->|"PASS"| POST
H7 --> H7a & H7b & H7c & H7d
POST --> OTHER
H12 -.->|"route-feedback.jsonl"| H1
style SUBMIT fill:#2a1a3a,color:#e0ccff,stroke:#8844cc
style PRE fill:#3a1a1a,color:#ffcccc,stroke:#cc4444
style POST fill:#1a3a2a,color:#ccffe0,stroke:#44cc88
style OTHER fill:#1a2a3a,color:#cce0ff,stroke:#4488cc
图 6. MCP 三层生态
graph LR
subgraph T1["Tier 1 — 本地常驻 (12)"]
direction TB
subgraph T1_AI["AI/研究"]
DR["deep-research<br/>stdio/Python"]
C7["context7<br/>stdio/npx"]
ST["sequential-thinking<br/>stdio/npx"]
end
subgraph T1_BROWSER["浏览器"]
PW["playwright<br/>stdio/npx"]
CD["chrome-devtools<br/>stdio/node"]
BB["browserbase<br/>stdio/node"]
end
subgraph T1_DEVICE["设备"]
MB["mobile<br/>stdio/npx"]
end
subgraph T1_SAAS["SaaS 集成"]
GH["github<br/>HTTP"]
SK["slack<br/>HTTP"]
LN["linear<br/>HTTP"]
AT["atlassian<br/>HTTP"]
SB["supabase<br/>HTTP"]
end
end
subgraph T2["Tier 2 — 云托管 (9)"]
direction TB
SE["sentry"]
FG["figma"]
NO["notion"]
GA["gamma"]
CA["canva"]
VE["vercel"]
CL["cloudinary"]
SG["scholar-gateway"]
GP["graphos"]
end
subgraph T3["Tier 3 — 插件 + 按需 (1+3)"]
direction TB
FB["firebase<br/>(插件市场)"]
PG["postgres<br/>(按需模板)"]
RD["redis<br/>(按需模板)"]
K8["kubernetes<br/>(按需模板)"]
end
T1 ---|"always on"| CORE["Claude Code<br/>Runtime"]
T2 ---|"deferred tools<br/>按需加载"| CORE
T3 ---|"手动安装<br/>项目级配置"| CORE
style T1 fill:#1a2e2e,color:#ccffff,stroke:#44aaaa
style T2 fill:#2e2e1b,color:#ffffcc,stroke:#aaaa44
style T3 fill:#2e1b2e,color:#ffccff,stroke:#aa44aa
图 7. 自进化闭环
flowchart LR
subgraph TRIGGER["触发源"]
Edit["文件修改<br/>(Edit/Write)"]
Session["会话结束<br/>(Stop)"]
end
subgraph DETECT["检测层"]
Drift["drift-detector<br/>配置变更感知"]
Integrity["integrity-check<br/>SHA256 校验<br/>24 文件"]
end
subgraph AUDIT["审计层 — 10 维度"]
H1a["H1 配置一致性 13%"]
H2a["H2 行为基线 13%"]
H3a["H3 磁盘健康 10%"]
H4a["H4 钩子完整性 13%"]
H5a["H5 技能索引 9%"]
H6a["H6 规则缓存 9%"]
H7a2["H7 路由准确率 13%"]
H8a["H8 学习收敛 10%"]
H9a["H9 路由合规率 10%"]
H10a["H10 Hook有效性 9%"]
end
subgraph HEAL["修复层"]
SelfHeal["self-healer<br/>仅修改元数据"]
Actions["版本同步 | 计数修正<br/>注册表修复 | 缺失补建"]
end
subgraph LOG["记录层"]
EvoLog["evolution-log.jsonl<br/>18 seq (v5.4-v5.7)"]
Weights["route-weights.json<br/>学习权重 pm 0.5 限幅"]
Feedback["route-feedback.jsonl<br/>路由纠正记录"]
end
Edit --> Drift --> Integrity
Session --> AUDIT
Integrity --> AUDIT
AUDIT -->|"CRITICAL/WARNING"| SelfHeal
SelfHeal --> Actions --> EvoLog
AUDIT -->|"H7/H8 数据"| Weights
AUDIT -->|"路由反馈"| Feedback
Feedback -.->|"自适应学习<br/>5 天半衰期"| Weights
图 8. 数据流与文件拓扑
graph TB
subgraph CONFIG["配置层 (唯一信源)"]
CLAUDE["CLAUDE.md<br/>系统宪法"]
SKILL_MD["skills/*/SKILL.md x52<br/>技能定义"]
AGENT_MD["agents/*.md x10<br/>智能体定义"]
SETTINGS["settings.json<br/>钩子 + MCP 注册"]
end
subgraph COMPILED["编译产物 (自动生成)"]
INDEX["skills-index.json<br/>52 技能 x 2573 关键词"]
STATS["stats-compiled.json<br/>实时统计"]
RULES["rules-compiled.json<br/>缓存规则"]
DISAMB["disambiguation-rules.json<br/>31 条消歧"]
SYNS["synonyms.json<br/>22 组同义词"]
CHECKSUMS["checksums.json<br/>24 文件 SHA256"]
end
subgraph RUNTIME["运行时数据"]
RF["route-feedback.jsonl<br/>路由纠正"]
RW["route-weights.json<br/>学习权重"]
AL["activity-log.jsonl<br/>活动日志"]
EL["evolution-log.jsonl<br/>进化记录"]
SM["session-memory.json<br/>会话路由记忆"]
end
subgraph SCRIPTS["脚本引擎 (46 模块)"]
RA2["route-analyzer.js<br/>BM25 评分"]
TF2["tfidf-engine.js<br/>关键词加权"]
SE2["synonym-expander.js<br/>同义词展开"]
CT2["context-tracker.js<br/>会话追踪"]
PD2["project-detector.js<br/>项目类型"]
WP2["workflow-patterns.js<br/>工作流模式"]
SCR["skill-chain-recommender.js<br/>技能链推荐"]
GEN["generate-skill-index.js<br/>索引生成"]
end
SKILL_MD -->|"提取"| GEN --> INDEX
INDEX --> RA2
SYNS --> SE2 --> RA2
RA2 --> TF2
CT2 --> RA2
PD2 --> RA2
WP2 --> RA2
DISAMB --> RA2
RA2 -->|"评分结果"| RF
RF -->|"学习"| RW
SETTINGS -->|"注册"| COMPILED
CLAUDE --> STATS
AGENT_MD --> STATS
style CONFIG fill:#1a1a2e,color:#e0e0ff,stroke:#4a4aff
style COMPILED fill:#2e2e1b,color:#ffffcc,stroke:#aaaa44
style RUNTIME fill:#1b2e1b,color:#ccffcc,stroke:#44aa44
style SCRIPTS fill:#2e1b2e,color:#ffccff,stroke:#aa44aa
图 9. 请求全生命周期 (时序图)
sequenceDiagram
actor U as 用户
participant HK1 as route-interceptor
participant RE as 路由引擎<br/>(BM25+TF-IDF)
participant HK2 as compliance-gate
participant SK as Skill 技能
participant HK3 as post-edit-dispatcher
participant SUB as sub-hooks x4
participant HK4 as activity-logger
participant HK5 as route-auditor
U->>HK1: 输入文本
HK1->>RE: 分词 + 同义词展开
RE->>RE: BM25 评分 x TF-IDF
RE->>RE: 上下文融合 (0.6+0.2+0.1+0.1)
RE->>RE: 消歧规则 (31 条)
RE-->>HK1: [BWR:id] 路由指令
HK1-->>U: additionalContext 注入
U->>HK2: 调用 Skill
HK2->>HK2: 校验 BWR 匹配
alt 合规
HK2-->>SK: PASS
else 违规
HK2-->>U: BLOCKED + 建议
end
SK->>SK: 执行技能逻辑
SK->>HK3: Edit/Write 触发
par 并行派遣
HK3->>SUB: check-typescript
HK3->>SUB: check-lint
HK3->>SUB: suggest-tests
HK3->>SUB: drift-detector + integrity-check
end
SK->>HK4: 活动日志 (JSONL)
Note over U,HK5: 会话结束
HK5->>HK5: 端到端路由审计
HK5->>HK5: actualSkill 闭环记录
HK5-->>RE: route-feedback.jsonl
图 10. 安全纵深架构 (三层防线)
graph TB
subgraph L1["Layer 1 — 输入防线 (PreToolUse)"]
B1["block-sensitive-files<br/>禁写: .env / credentials<br/>settings.json / CLAUDE.md"]
B2["block-dangerous-commands<br/>禁执: rm -rf / DROP TABLE<br/>format / shutdown"]
B3["commit-message-lint<br/>规范 commit 消息"]
B4["code-quality-gate<br/>构建命令白名单"]
B5["route-compliance-gate<br/>BWR 路由合规校验"]
end
subgraph L2["Layer 2 — 执行防线 (PostToolUse)"]
P1["post-edit-quality-check<br/>反模式扫描"]
P2["integrity-check<br/>SHA256 x 24 文件"]
P3["drift-detector<br/>配置漂移实时检测"]
P4["build-outcome-tracker<br/>构建成功率统计"]
end
subgraph L3["Layer 3 — 审计防线 (Stop + 元系统)"]
A1["route-auditor<br/>端到端审计 + 合规率"]
A2["self-auditor<br/>10 维健康检查"]
A3["activity-logger<br/>全操作 JSONL 留痕"]
end
subgraph SAFEGUARD["安全约束"]
SG1["self-healer 只修改元数据<br/>不触碰业务逻辑"]
SG2["学习权重限幅 pm 0.5<br/>白名单校验 + holdout 验证"]
SG3["checksums HMAC<br/>防篡改"]
end
L1 -->|"放行"| L2
L2 -->|"放行"| L3
L3 -.->|"CRITICAL/WARNING"| SAFEGUARD
style L1 fill:#3a1a1a,color:#ffcccc,stroke:#cc4444
style L2 fill:#3a2a1a,color:#ffe0cc,stroke:#cc8844
style L3 fill:#1a2a3a,color:#cce0ff,stroke:#4488cc
style SAFEGUARD fill:#1a3a1a,color:#ccffcc,stroke:#44aa44
图 11. 自适应学习闭环
flowchart TB
subgraph COLLECT["数据采集"]
Explicit["显式反馈<br/>route-feedback.js<br/>用户纠正路由"]
Implicit["隐式反馈<br/>implicit-feedback.js<br/>路由后 5 min 使用情况"]
Compliance["合规日志<br/>route-compliance-gate<br/>gate-pass / blocked"]
Build["构建结果<br/>build-outcome-tracker<br/>成功 / 失败 / 超时"]
end
subgraph LEARN["学习引擎"]
Decay["指数衰减<br/>半衰期 5 天"]
Whitelist["白名单校验<br/>仅允许已注册技能"]
Clamp["权重限幅<br/>-0.5 to +0.5"]
Holdout["Holdout 验证<br/>20% 保留集"]
Snapshot["权重快照<br/>回滚保护"]
end
subgraph APPLY["应用层"]
Weights["route-weights.json<br/>权重增量"]
Index["skills-index.json<br/>2573 关键词 x 三层权重"]
BM25["BM25 评分<br/>基础分 + 学习增量"]
end
subgraph MONITOR["监控"]
H7["H7 路由准确率<br/>13% 权重"]
H8["H8 学习收敛<br/>10% 权重"]
Stale["Stale 检测<br/>过期数据告警"]
end
Explicit --> Decay
Implicit --> Decay
Decay --> Whitelist --> Clamp --> Holdout
Holdout -->|"验证通过"| Weights
Holdout -->|"验证失败"| Snapshot -->|"回滚"| Weights
Weights --> BM25
Index --> BM25
Compliance --> H7
Build --> H8
H7 --> Stale
H8 --> Stale
style COLLECT fill:#2e1b2e,color:#ffccff,stroke:#aa44aa
style LEARN fill:#1a2e2e,color:#ccffff,stroke:#44aaaa
style APPLY fill:#1b2e1b,color:#ccffcc,stroke:#44aa44
style MONITOR fill:#2e2e1b,color:#ffffcc,stroke:#aaaa44
图 12. 健康评分模型 (10 维度)
pie title 健康评分权重分布 (总计 100%)
"H1 配置一致性" : 13
"H2 行为基线" : 13
"H3 磁盘健康" : 10
"H4 钩子完整性" : 13
"H5 技能索引" : 9
"H6 规则缓存" : 9
"H7 路由准确率" : 13
"H8 学习收敛" : 10
"H9 路由合规率" : 10
"H10 Hook有效性" : 9
graph LR
subgraph STATIC["静态检查 (54%)"]
H1["H1 配置一致性 13%<br/>config-validator<br/>错误/警告计数"]
H4["H4 钩子完整性 13%<br/>SHA256 checksums<br/>24 文件校验"]
H5["H5 技能索引 9%<br/>索引数 vs SKILL.md 数"]
H6["H6 规则缓存 9%<br/>rules-compiled.json<br/>新鲜度检查"]
H10["H10 Hook有效性 9%<br/>构建成功率统计"]
end
subgraph DYNAMIC["动态分析 (36%)"]
H2["H2 行为基线 13%<br/>IQR + Z-score<br/>混合异常检测"]
H7["H7 路由准确率 13%<br/>route-feedback.jsonl<br/>正确率计算"]
H8["H8 学习收敛 10%<br/>route-weights.json<br/>权重偏移度"]
end
subgraph INFRA["基础设施 (10%)"]
H3["H3 磁盘健康 10%<br/>大于 16GB CRITICAL<br/>大于 8GB WARNING"]
end
subgraph COMPLIANCE_H["合规 (10%)"]
H9["H9 路由合规率 10%<br/>compliance 日志<br/>合规比率"]
end
subgraph TUNING["自优化机制"]
EWMA["EWMA 动态阈值<br/>替代静态 3-sigma"]
TREND["趋势预测<br/>指数平滑 + 尖峰检测"]
WEIGHT_OPT["权重自优化<br/>历史瓶颈频率调整"]
end
STATIC --> TUNING
DYNAMIC --> TUNING
INFRA --> TUNING
COMPLIANCE_H --> TUNING
TUNING -->|"综合评分"| SCORE["健康度: 0-100"]
style STATIC fill:#1a2a3a,color:#cce0ff,stroke:#4488cc
style DYNAMIC fill:#2e1b2e,color:#ffccff,stroke:#aa44aa
style INFRA fill:#1a3a1a,color:#ccffcc,stroke:#44aa44
style COMPLIANCE_H fill:#3a2a1a,color:#ffe0cc,stroke:#cc8844
图 13. 生产部署架构 (闲鱼助手)
graph TB
subgraph CLIENT["客户端"]
EXT["Chrome Extension<br/>闲鱼助手插件"]
WEB["Web Dashboard<br/>:3005 - :3000"]
end
subgraph HOST["生产服务器 <SERVER_A_IP>"]
subgraph DOCKER["Docker Compose"]
API["FastAPI 应用<br/>:8002 - :8000"]
PG["PostgreSQL<br/>持久化存储"]
REDIS["Redis<br/>缓存 + 绑定双写"]
end
subgraph OBSERVE["可观测性"]
PROM["Prometheus<br/>:9091 - :9090"]
GRAF["Grafana<br/>:3101 - :3000"]
JAEGER["Jaeger<br/>:16686 + :4317 OTLP"]
end
end
subgraph EXTERNAL["外部服务"]
XY["闲鱼平台 WS"]
LLM["LLM API<br/>(Claude/OpenAI)"]
end
EXT -->|"WebSocket"| API
WEB -->|"HTTP REST"| API
API --> PG
API --> REDIS
API -->|"WS 双路径"| XY
API -->|"AI 回复生成"| LLM
API -->|"OTel gRPC :4317"| JAEGER
PROM -->|"scrape"| API
GRAF -->|"query"| PROM
GRAF -->|"trace"| JAEGER
style CLIENT fill:#2e2e1b,color:#ffffcc,stroke:#aaaa44
style DOCKER fill:#1a2e2e,color:#ccffff,stroke:#44aaaa
style OBSERVE fill:#1b2e1b,color:#ccffcc,stroke:#44aa44
style EXTERNAL fill:#2e1b2e,color:#ffccff,stroke:#aa44aa
图 14. 版本演进时间线
timeline
title Bookworm 版本演进 (v5.4 - v5.7)
section v5.4 (02-23 to 02-24)
seq 1-3 : 三层防线 + 消歧规则引擎 (18 规则)
: 学习安全基座 (白名单+权重快照+holdout)
: 关键词缺口检测 + 健康趋势预测
section v5.5 (02-26 to 03-01)
seq 4-13 : dispatcher 委托模式消除双重实现
: 消歧规则外部化 (22 规则 JSON)
: H9/H10 评分逻辑修正
: 1320 tests 全绿
section v5.6 (03-01)
seq 14-17 : actualSkill 合规闭环
: detectPipeline 管道检测
: 框架汇总行检测 (12 框架)
: 消歧规则 27 条
section v5.7 (03-01 to 03-02)
seq 18 : MCP 三层生态 13 to 22
: 技能 50 to 52 (+workflow +notification)
: 消歧 28 to 31 条 + 同义词 20 to 22 组
: 路由准确率 98%
附录: 关键数字汇总
| 维度 | 数量 | 备注 |
|---|---|---|
| 技能 | 52 | 10 类别, 全部 stable, 22 composable |
| 智能体 | 10 | 2 opus + 8 sonnet |
| 钩子 | 17 | 13 注册 + 4 sub-hook |
| MCP | 22+3 | 12 本地 + 9 云托管 + 1 插件 + 3 按需 |
| 脚本模块 | 46 | 45 .js + 1 .py |
| 消歧规则 | 31 | JSON 外部化 |
| 同义词组 | 22 | 词典展开 |
| 加权关键词 | 2573 | core/strong/extended 三层 |
| 健康维度 | 10 | 权重自优化 + EWMA 动态阈值 |
| 进化记录 | 18 seq | v5.4 - v5.5 - v5.6 - v5.7 |
| 路由准确率 | 98% | 含 A/B 实验框架 |