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关键数字修正: - Rust 74.5K行(原66K), Tauri命令 183(原182), SaaS路由 121 - 前端组件 104, lib/ 85文件, Store 17+4子store - TODO/FIXME 仅 8 个(前端4+Rust4) 内容增强: - 中间件完整14层注册清单含注册条件和优先级分类 - Store完整目录结构, Pipeline完整目录树 - Hands测试分布, Memory 16个Tauri命令列表 - 管家模式: 关键词路由→语义路由(TF-IDF)修正 - 代码健康度指标新增
102 lines
3.6 KiB
Markdown
102 lines
3.6 KiB
Markdown
---
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title: 聊天系统
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updated: 2026-04-11
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status: active
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tags: [module, chat, stream]
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---
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# 聊天系统
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> 从 [[index]] 导航。关联模块: [[routing]] [[saas]] [[butler]]
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## 设计思想
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**核心问题: 3 种运行环境需要 3 种 ChatStream 实现。**
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| 环境 | 实现 | 传输 | 为什么 |
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|------|------|------|--------|
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| 桌面端 (Tauri) | KernelClient | Tauri Event | 内置 Kernel，但 baseUrl 可指向 SaaS relay |
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| 桌面端 (Tauri + SaaS) | KernelClient + relay | Tauri Event → SaaS | 主路径: Token Pool 中转 |
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| 浏览器端 | SaaSRelayGatewayClient | HTTP SSE | 无 Tauri 运行时 |
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| 外部 Gateway | GatewayClient | WebSocket | 独立进程部署 |
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**统一接口**: 3 种实现共享同一套回调:
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```ts
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{ onDelta, onThinkingDelta, onTool, onHand, onComplete, onError }
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```
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## 代码逻辑
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### 发送消息流
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入口: `streamStore.sendMessage(content)` → `store/chat/streamStore.ts`
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```
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sendMessage(content)
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→ effectiveSessionKey = conversationStore.sessionKey || uuid()
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→ effectiveAgentId = resolveGatewayAgentId(currentAgent)
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→ client.chatStream(content, callbacks, { sessionKey, agentId, chatMode })
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→ KernelClient: Tauri invoke('kernel_chat', ...)
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→ Kernel → loop_runner → LLM Driver
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→ 如果 baseUrl 指向 SaaS relay → 请求发往 Token Pool → LLM
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→ 如果 baseUrl 指向 LLM 直连 → 请求直接发往 LLM
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→ Tauri Event emit('chat-response-delta', ...)
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→ onDelta(text) → streamStore 追加 delta
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→ onTool(tool) → toolStore 更新
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→ onHand(hand) → handStore 更新
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→ onComplete() → conversationStore 持久化
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→ SaaSRelay: HTTP POST /api/v1/relay/chat/completions → SSE
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→ GatewayClient: WebSocket send → onmessage
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→ 5 分钟超时守护 (kernel-chat.ts:76) 防止流挂起
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```
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### Store 拆分 (5 Store)
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原来 908 行的 ChatStore 已拆分为:
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| Store | 文件 | 职责 |
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|-------|------|------|
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| streamStore | `store/chat/streamStore.ts` | 流式消息编排、发送、取消 |
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| conversationStore | `store/chat/conversationStore.ts` | 会话管理、当前模型 |
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| messageStore | `store/chat/messageStore.ts` | 消息持久化 |
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| chatStore | `store/chat/chatStore.ts` | 聊天通用状态 |
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| artifactStore | `store/chat/artifactStore.ts` | 聊天产物/附件 |
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### 前端 Tauri 命令映射
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```
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kernel_chat / agent_chat / agent_chat_stream → 发送消息
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cancel_stream → 取消流式响应
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```
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### 模型切换
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```
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UI 选择模型 → conversationStore.currentModel = newModel
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→ 下次 sendMessage 时，connectionStore 读取 currentModel
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→ SaaS 模式: relay 白名单验证 → 可用则切换
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→ 本地模式: 直接使用用户配置的模型
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```
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## 关联模块
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- [[routing]] — 路由决定使用哪种 client
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- [[saas]] — Token Pool 提供模型和 API Key
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- [[butler]] — ButlerRouter 中间件增强 system prompt
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- [[middleware]] — 消息经过 14 层中间件处理
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- [[memory]] — 对话内容可能触发记忆提取
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## 关键文件
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| 文件 | 职责 |
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|------|------|
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| `desktop/src/store/chat/streamStore.ts` | 流式消息编排 |
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| `desktop/src/store/chat/conversationStore.ts` | 会话管理 |
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| `desktop/src/store/chat/artifactStore.ts` | 聊天产物管理 |
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| `desktop/src/lib/kernel-chat.ts` | Kernel ChatStream (Tauri) |
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| `desktop/src/lib/saas-relay-client.ts` | SaaS Relay ChatStream |
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| `desktop/src/lib/gateway-client.ts` | Gateway ChatStream (WS) |
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| `desktop/src/components/ChatArea.tsx` | 聊天区域 UI |
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| `crates/zclaw-runtime/src/loop_runner.rs` | Rust 主聊天循环 |
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