Files
smartmate/backend/cmd/start.go
Losita d47a8bcabd Version: 0.9.25.dev.260417
后端:
1. AIHub 模型分级从 Worker/Strategist 两级重构为 Lite/Pro/Max 三级
- AIHub 结构体从 Worker + Strategist 改为 Lite + Pro + Max,分别对应轻量(标题生成)、标准(Chat 路由/闲聊/交付总结)、高能力(Plan 规划/Execute ReAct)三个能力层级
- config.example.yaml 新增 liteModel / proModel / maxModel 三个模型配置项,替代原 workerModel / strategistModel
- 启动层 InitEino 改为创建三个独立模型实例,抽取公共 baseURL 和 apiKey 减少重复
- pickChatModel 统一返回 Pro 模型,旧 strategist 参数不再生效;pickTitleModel 从 Worker 切到 Lite
- runNewAgentGraph 按 Plan/Execute→Max、Chat/Deliver→Pro 分级注入;Graph 出错回退也切到 Pro
- Memory 模块初始化从 Worker 改为 Pro
2. Plan 节点从"两阶段评估"简化为"单轮深度规划",thinking 开关改为全配置化
- 移除 Phase 1(快速评估 1600 token)+ Phase 2(深度规划 3200 token)的两轮调用逻辑,改为单轮不限 token 深度规划
- PlanDecision 移除 need_thinking 字段,prompt 规则和 JSON contract 同步删除该字段
- 各节点(Plan / Execute / Deliver)thinking 开关从硬编码改为从 AgentGraphDeps 读取,由 config.yaml 的 agent.thinking 段按节点注入
- 新增 agent.thinking 配置段(plan / execute / deliver / memory 四个独立布尔开关),config.example.yaml 补齐默认值
- 新增 resolveThinkingMode 公共函数,plan / execute / deliver 和 memory 决策/抽取链路统一使用
3. Memory 模块 LLM 调用支持 thinking 开关
- Config 新增 LLMThinking 字段,config_loader 从 agent.thinking.memory 读取
- LLMDecisionOrchestrator.Compare 和 LLMWriteOrchestrator.ExtractFacts 的 thinking 模式从硬编码 Disabled 改为读取配置
前端:
1. 移除助手输入区模型选择器及全部偏好持久化逻辑
- 删除 ModelType 类型、selectedModel ref、MODEL_PREFERENCE_STORAGE_KEY 常量
- 删除 isModelType / loadModelPreferenceMap / persistModelPreferenceMap / savePreferredModel / resolvePreferredModel / applyPreferredModelForConversation 六个函数及 modelPreferenceMap ref
- 删除 selectedModel watch 监听、发送消息时的 savePreferredModel 调用、切会话时的 applyPreferredModelForConversation 调用、会话迁移时的模型偏好迁移
- fetchChatStream 的 model 参数硬编码为 'worker'
- 删除模板中"模型"下拉选择器(标准/策略)及对应的全局样式 .assistant-model-select-panel
2. 上下文窗口指示器简化为仅显示总占用
- ContextWindowMeter 移除 msg0~msg3 四段彩色分段逻辑(ContextSegment 接口、segments computed、v-for 渲染)
- 进度条改为单一蓝色条,按 total/budget 比例填充;超预算时变红
- Tooltip 简化为仅显示"总计 X / 预算 Y(Z%)"

仓库:无
2026-04-17 12:27:04 +08:00

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package cmd
import (
"context"
"fmt"
"log"
"github.com/LoveLosita/smartflow/backend/api"
"github.com/LoveLosita/smartflow/backend/dao"
kafkabus "github.com/LoveLosita/smartflow/backend/infra/kafka"
infrallm "github.com/LoveLosita/smartflow/backend/infra/llm"
outboxinfra "github.com/LoveLosita/smartflow/backend/infra/outbox"
infrarag "github.com/LoveLosita/smartflow/backend/infra/rag"
ragconfig "github.com/LoveLosita/smartflow/backend/infra/rag/config"
"github.com/LoveLosita/smartflow/backend/inits"
"github.com/LoveLosita/smartflow/backend/memory"
memoryobserve "github.com/LoveLosita/smartflow/backend/memory/observe"
"github.com/LoveLosita/smartflow/backend/middleware"
newagentconv "github.com/LoveLosita/smartflow/backend/newAgent/conv"
newagenttools "github.com/LoveLosita/smartflow/backend/newAgent/tools"
"github.com/LoveLosita/smartflow/backend/newAgent/tools/web"
"github.com/LoveLosita/smartflow/backend/pkg"
"github.com/LoveLosita/smartflow/backend/routers"
"github.com/LoveLosita/smartflow/backend/service"
eventsvc "github.com/LoveLosita/smartflow/backend/service/events"
"github.com/spf13/viper"
)
// loadConfig 加载应用配置。
func loadConfig() error {
viper.SetConfigName("config")
viper.SetConfigType("yaml")
viper.AddConfigPath(".")
if err := viper.ReadInConfig(); err != nil {
return fmt.Errorf("failed to read config file: %w", err)
}
log.Println("Config loaded successfully")
return nil
}
// Start 是应用启动入口。
func Start() {
if err := loadConfig(); err != nil {
log.Fatalf("Failed to load config: %v", err)
}
db, err := inits.ConnectDB()
if err != nil {
log.Fatalf("Failed to connect to database: %v", err)
}
rdb := inits.InitRedis()
limiter := pkg.NewRateLimiter(rdb)
aiHub, err := inits.InitEino()
if err != nil {
log.Fatalf("Failed to initialize Eino: %v", err)
}
ragCfg := ragconfig.LoadFromViper()
var ragRuntime infrarag.Runtime
if ragCfg.Enabled {
// 1. 当前项目尚未完成全局观测平台建设,这里先注入一层轻量 Observer
// 2. RAG 内部只依赖 Observer 接口,后续若全项目统一日志/指标系统,只需替换这里;
// 3. 这样可以避免 RAG 单独自建一套割裂的日志基础设施。
ragLogger := log.Default()
ragRuntime, err = infrarag.NewRuntimeFromConfig(context.Background(), ragCfg, infrarag.FactoryDeps{
Logger: ragLogger,
Observer: infrarag.NewLoggerObserver(ragLogger),
})
if err != nil {
log.Fatalf("Failed to initialize RAG runtime: %v", err)
}
log.Printf("RAG runtime initialized: store=%s embed=%s reranker=%s", ragCfg.Store, ragCfg.EmbedProvider, ragCfg.RerankerProvider)
} else {
log.Println("RAG runtime is disabled")
}
// 1. memory 模块对启动层只暴露一个门面。
// 2. 后续若接入统一 DI 容器,也优先注入这个门面,而不是继续暴露内部 repo/service。
memoryCfg := memory.LoadConfigFromViper()
memoryObserver := memoryobserve.NewLoggerObserver(log.Default())
memoryMetrics := memoryobserve.NewMetricsRegistry()
memoryModule := memory.NewModuleWithObserve(
db,
infrallm.WrapArkClient(aiHub.Pro),
ragRuntime,
memoryCfg,
memory.ObserveDeps{
Observer: memoryObserver,
Metrics: memoryMetrics,
},
)
// DAO 层初始化。
cacheRepo := dao.NewCacheDAO(rdb)
agentCacheRepo := dao.NewAgentCache(rdb)
_ = db.Use(middleware.NewGormCachePlugin(cacheRepo))
userRepo := dao.NewUserDAO(db)
taskRepo := dao.NewTaskDAO(db)
courseRepo := dao.NewCourseDAO(db)
taskClassRepo := dao.NewTaskClassDAO(db)
scheduleRepo := dao.NewScheduleDAO(db)
manager := dao.NewManager(db)
agentRepo := dao.NewAgentDAO(db)
outboxRepo := outboxinfra.NewRepository(db)
// outbox 通用事件总线接线(第二阶段):
// 1. 读取 Kafka 配置;
// 2. 创建 infra 级 EventBus
// 3. 显式注册业务事件处理器;
// 4. 启动总线后台 dispatch/consume 循环。
kafkaCfg := kafkabus.LoadConfig()
eventBus, err := outboxinfra.NewEventBus(outboxRepo, kafkaCfg)
if err != nil {
log.Fatalf("Failed to initialize outbox event bus: %v", err)
}
if eventBus != nil {
// 1. 在启动前完成业务事件处理器注册。
// 2. memory 事件处理器也统一通过 memoryModule 接入,避免启动层感知内部细节。
if err = eventsvc.RegisterChatHistoryPersistHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register chat history event handler: %v", err)
}
if err = eventsvc.RegisterTaskUrgencyPromoteHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register task urgency promote event handler: %v", err)
}
if err = eventsvc.RegisterChatTokenUsageAdjustHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register chat token usage adjust event handler: %v", err)
}
if err = eventsvc.RegisterAgentStateSnapshotHandler(eventBus, outboxRepo, manager); err != nil {
log.Fatalf("Failed to register agent state snapshot event handler: %v", err)
}
if err = eventsvc.RegisterMemoryExtractRequestedHandler(eventBus, outboxRepo, memoryModule); err != nil {
log.Fatalf("Failed to register memory extract event handler: %v", err)
}
eventBus.Start(context.Background())
defer eventBus.Close()
log.Println("Outbox event bus started")
} else {
log.Println("Outbox event bus is disabled")
}
memoryModule.StartWorker(context.Background())
// Service 层初始化。
userService := service.NewUserService(userRepo, cacheRepo)
taskSv := service.NewTaskService(taskRepo, cacheRepo, eventBus)
courseService := service.NewCourseService(courseRepo, scheduleRepo)
taskClassService := service.NewTaskClassService(taskClassRepo, cacheRepo, scheduleRepo, manager)
scheduleService := service.NewScheduleService(scheduleRepo, userRepo, taskClassRepo, manager, cacheRepo)
agentService := service.NewAgentServiceWithSchedule(aiHub, agentRepo, taskRepo, cacheRepo, agentCacheRepo, eventBus, scheduleService)
// newAgent 依赖接线。
agentService.SetAgentStateStore(dao.NewAgentStateStoreAdapter(cacheRepo))
// 1. WebSearch provider 初始化:根据配置选择 mock/bocha
// 2. provider 为 nil 时web_search / web_fetch 返回"暂未启用",不阻断主流程。
var webSearchProvider web.SearchProvider
webProvider := viper.GetString("websearch.provider")
switch webProvider {
case "bocha":
bochaKey := viper.GetString("websearch.apiKey")
if bochaKey == "" {
log.Println("WebSearch: 博查 API Key 为空,降级为 mock")
webSearchProvider = &web.MockProvider{}
} else {
webSearchProvider = web.NewBochaProvider(bochaKey, "")
log.Println("WebSearch provider: bocha")
}
case "mock", "":
webSearchProvider = &web.MockProvider{}
log.Println("WebSearch provider: mock模拟模式")
default:
// 未识别的 provider 类型降级为 mock 并输出警告。
log.Printf("WebSearch provider %q 未识别,降级为 mock", webProvider)
webSearchProvider = &web.MockProvider{}
}
agentService.SetToolRegistry(newagenttools.NewDefaultRegistryWithDeps(newagenttools.DefaultRegistryDeps{
RAGRuntime: ragRuntime,
WebSearchProvider: webSearchProvider,
}))
agentService.SetScheduleProvider(newagentconv.NewScheduleProvider(scheduleRepo, taskClassRepo))
agentService.SetSchedulePersistor(newagentconv.NewSchedulePersistorAdapter(manager))
agentService.SetCompactionStore(agentRepo)
agentService.SetMemoryReader(memoryModule, memoryCfg)
// API 层初始化。
userApi := api.NewUserHandler(userService)
taskApi := api.NewTaskHandler(taskSv)
courseApi := api.NewCourseHandler(courseService)
taskClassApi := api.NewTaskClassHandler(taskClassService)
scheduleApi := api.NewScheduleAPI(scheduleService)
agentApi := api.NewAgentHandler(agentService)
memoryApi := api.NewMemoryHandler(memoryModule)
handlers := &api.ApiHandlers{
UserHandler: userApi,
TaskHandler: taskApi,
TaskClassHandler: taskClassApi,
CourseHandler: courseApi,
ScheduleHandler: scheduleApi,
AgentHandler: agentApi,
MemoryHandler: memoryApi,
}
r := routers.RegisterRouters(handlers, cacheRepo, userRepo, limiter)
routers.StartEngine(r)
}