hailin
1a1573dda3
feat(resilience): add circuit breaker for downstream services
...
- New CircuitBreaker class: CLOSED → OPEN → HALF_OPEN three-state model
- Zero external dependencies, ~90 lines, fail-open semantics
- KnowledgeClientService: threshold=5, cooldown=60s, protects all 9 endpoints
- PaymentClientService: threshold=3, cooldown=30s, protects all 7 endpoints
- Both services refactored to use protectedFetch() — cleaner code, fewer try-catch
- Replaces verbose per-method error handling with centralized circuit breaker
- When tripped: returns null/empty fallback instantly, no network call
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-08 04:21:30 -08:00
hailin
16cc0e4c08
feat(agents): implement multi-agent collaboration architecture
...
借鉴 Claude Code 的架构模式，将单一 Agent 重构为 Coordinator + 6 Specialist 多 Agent 协作系统。
## 新增文件 (36个)
### 架构设计文档 (docs/architecture/, 12个)
- 00-overview.md ~ 11-prompt-templates.md: 完整架构设计，覆盖所有 Agent 的详细设计、
Prompt 模板、协作流程、工具并发系统、动态上下文注入
### 多 Agent 系统 (infrastructure/agents/, 23个)
- coordinator/coordinator-agent.service.ts: 主协调器，替代 ClaudeAgentServiceV2
- coordinator/agent-loop.ts: 核心递归 async generator 循环（参考 Claude Code aM()）
- coordinator/context-injector.service.ts: 动态上下文注入（8种上下文类型按优先级注入）
- specialists/base-specialist.service.ts: Agent 基类（封装 Claude API 调用 + prompt 缓存）
- specialists/policy-expert.service.ts: 政策专家 (Sonnet 4, temp=0)
- specialists/assessment-expert.service.ts: 评估专家 (Sonnet 4, temp=0)
- specialists/strategist.service.ts: 策略顾问 (Sonnet 4, temp=0.3)
- specialists/objection-handler.service.ts: 异议处理 (Sonnet 4, temp=0.2)
- specialists/case-analyst.service.ts: 案例分析 (Haiku, temp=0)
- specialists/memory-manager.service.ts: 记忆管理 (Haiku, temp=0)
- prompts/coordinator-system-prompt.ts: 协调器 Prompt（1095行，13章）
- prompts/{policy,assessment,strategist,objection,case,memory}-*-prompt.ts: 各专家 Prompt
- tools/coordinator-tools.ts: 16个工具定义（6 Agent 调用 + 10 直接工具）
- tools/tool-execution-queue.ts: 并发执行队列（isConcurrencySafe 控制并行/串行）
- types/agent.types.ts: Agent 配置、输入/输出类型定义
- types/stream.types.ts: 流式事件类型（含 agent_start/complete/coordinator_thinking）
- types/context.types.ts: 上下文注入类型
- agents.module.ts: NestJS 模块注册
### 前端 Agent 状态展示 (1个)
- AgentStatusIndicator.tsx: 多 Agent 工作状态组件（含动画）
## 修改文件 (15个)
### 后端集成
- conversation.service.ts: 切换到 CoordinatorAgentService
- conversation.gateway.ts: 新增 agent_start/agent_complete/coordinator_thinking 事件
- claude.module.ts: 引入 AgentsModule
- agents.module.ts: 注册 ImmigrationToolsService（复用旧版生产测试的工具实现）
- knowledge-client.service.ts: 新增 search()/getUserContext() 便捷方法
### 旧代码标记 @deprecated
- claude-agent.service.ts, claude-agent-v2.service.ts
- strategy-engine.service.ts, intent-classifier.ts, response-gate.ts
### 前端适配
- chatStore.ts: 新增 ActiveAgent/CompletedAgent/CoordinatorPhase 状态
- useChat.ts: 新增 WebSocket 事件处理
- ChatWindow.tsx: 集成 AgentStatusIndicator
- globals.css: 新增 agentPulse/agentSlideIn 动画
### 共享类型
- conversation.types.ts: 新增 AGENT_START/AGENT_COMPLETE/COORDINATOR_THINKING 事件
## 核心设计决策
1. **新旧结合**: Coordinator 的 10 个直接工具委托给旧版 ImmigrationToolsService
（经过生产测试的 Google Search、汇率 API、新闻 API 等），6 个 Agent 调用工具
走新的 Specialist Agent 系统
2. **递归 async generator**: agent-loop 支持流式输出 + 工具递归 + 成本/轮次控制
3. **并行 Agent 执行**: ToolExecutionQueue 根据 isConcurrencySafe 自动并行/串行
4. **Prompt 缓存**: 所有 Agent 的 system prompt 使用 cache_control: ephemeral
5. **速率限制重试**: 429/529 指数退避，最多 2 次
6. **向后兼容**: LegacyConversationContext 类型别名，StreamChunk 扩展不破坏现有结构
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-06 04:26:39 -08:00
hailin
911132ab3e
feat(agent): upgrade to Level 3 with real RAG, Memory and Evolution integration
...
## Summary
Upgrade iConsulting from Level 2 (48 points) to Level 3 (68 points) by
implementing real service-to-service integration between conversation-service
and knowledge-service.
## New Files
- knowledge-client.service.ts: HTTP client for knowledge-service APIs
- knowledge.module.ts: NestJS module for KnowledgeClientService
- AGENT_EVALUATION_REPORT.md: Agent capability evaluation report
- LEVEL3_UPGRADE_PLAN.md: Upgrade plan and completion report
## Changes
### RAG Integration
- search_knowledge tool now calls /api/v1/knowledge/retrieve
- check_off_topic tool calls /api/v1/knowledge/check-off-topic
- Results include real vector similarity search from knowledge base
### Memory Integration
- save_user_memory writes to PostgreSQL + Neo4j via knowledge-service
- collect_assessment_info saves user data to long-term memory
- generate_payment records payment intent to user memory
- New get_user_context tool retrieves user's historical memories
### Evolution Integration
- getAccumulatedExperience() fetches approved system experiences
- sendMessage() dynamically injects experiences into system prompt
- System learns from approved experiences across all conversations
## Expected Score Improvement
| Dimension | Before | After | Delta |
|------------|--------|-------|-------|
| Tool Use | 14/20 | 18/20 | +4 |
| Memory | 12/20 | 16/20 | +4 |
| RAG | 10/20 | 16/20 | +6 |
| Evolution | 8/20 | 14/20 | +6 |
| Total | 48 | 68 | +20 |
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-22 23:45:58 -08:00
hailin