Version: 0.9.45.dev.260427

后端:
1. execute 主链路重构为“上下文工具域 + 主动优化候选闭环”——移除 order_guard,粗排后默认进入主动微调,先诊断再从后端候选中选择 move/swap,避免 LLM 自由全局乱搜
2. 工具体系升级为动态注入协议——新增 context_tools_add / remove、工具域与二级包映射、主动优化白名单;schedule / taskclass / web 工具按域按包暴露,msg0 规则包与 execute 上下文同步重写
3. analyze_health 升级为主动优化唯一裁判入口——补齐 rhythm / tightness / profile / feasibility 指标、候选扫描与复诊打分、停滞信号、forced imperfection 判定,并把连续优化状态写回运行态
4. 任务类能力并入新 Agent 执行链——新增 upsert_task_class 写工具与启动注入事务写入;任务类模型补充学科画像与整天屏蔽配置,粗排支持 excluded_days_of_week,steady 策略改为基于目标位置/单日负载/分散度/缓冲的候选打分
5. 运行态与路由补齐优化模式语义——新增 active tool domain/packs、pending context hook、active optimize only、taskclass 写入回盘快照;区分 first_full / global_reopt / local_adjust,并完善首次粗排后默认 refine 的判定

前端:
6. 助手时间线渲染细化——推理内容改为独立 reasoning block,支持与工具/状态/正文按时序交错展示,自动收口折叠,修正 confirm reject 恢复动作

仓库:
7. newAgent 文档整体迁入 docs/backend,补充主动优化执行规划与顺序约束拆解文档,删除旧调试日志文件

PS:这次科研了2天,总算是有些进展了——LLM永远只适合做选择题、判断题,不适合做开放创新题。
This commit is contained in:
Losita
2026-04-27 01:09:37 +08:00
parent 04b5836b39
commit 66c06eed0a
60 changed files with 9163 additions and 1819 deletions

View File

@@ -5,6 +5,7 @@ import (
"fmt"
"log"
"os"
"strings"
"time"
"github.com/LoveLosita/smartflow/backend/api"
@@ -197,6 +198,78 @@ func Start() {
agentService.SetToolRegistry(newagenttools.NewDefaultRegistryWithDeps(newagenttools.DefaultRegistryDeps{
RAGRuntime: ragRuntime,
WebSearchProvider: webSearchProvider,
TaskClassWriteDeps: newagenttools.TaskClassWriteDeps{
UpsertTaskClass: func(userID int, input newagenttools.TaskClassUpsertInput) (newagenttools.TaskClassUpsertPersistResult, error) {
req := input.Request
taskClassID := 0
created := input.ID == 0
err := taskClassRepo.Transaction(func(txDAO *dao.TaskClassDAO) error {
// 1. 先构造任务类主体,保持与现有 AddOrUpdateTaskClass 口径一致。
taskClass := &model.TaskClass{
ID: input.ID,
Name: &req.Name,
Mode: &req.Mode,
SubjectType: stringPtrOrNil(req.SubjectType),
DifficultyLevel: stringPtrOrNil(req.DifficultyLevel),
CognitiveIntensity: stringPtrOrNil(req.CognitiveIntensity),
TotalSlots: &req.Config.TotalSlots,
Strategy: &req.Config.Strategy,
ExcludedSlots: req.Config.ExcludedSlots,
ExcludedDaysOfWeek: req.Config.ExcludedDaysOfWeek,
}
taskClass.AllowFillerCourse = &req.Config.AllowFillerCourse
// 2. 自动模式下写入日期范围;手动模式允许为空。
if req.StartDate != "" {
startDate, parseErr := time.ParseInLocation("2006-01-02", req.StartDate, time.Local)
if parseErr != nil {
return parseErr
}
taskClass.StartDate = &startDate
}
if req.EndDate != "" {
endDate, parseErr := time.ParseInLocation("2006-01-02", req.EndDate, time.Local)
if parseErr != nil {
return parseErr
}
taskClass.EndDate = &endDate
}
// 3. upsert 主体后拿到稳定 task_class_id供 items 绑定 category_id。
updatedID, upsertErr := txDAO.AddOrUpdateTaskClass(userID, taskClass)
if upsertErr != nil {
return upsertErr
}
taskClassID = updatedID
// 4. 构造任务块并批量 upsert。
items := make([]model.TaskClassItem, 0, len(req.Items))
for _, itemReq := range req.Items {
categoryID := taskClassID
order := itemReq.Order
content := itemReq.Content
status := model.TaskItemStatusUnscheduled
items = append(items, model.TaskClassItem{
ID: itemReq.ID,
CategoryID: &categoryID,
Order: &order,
Content: &content,
EmbeddedTime: itemReq.EmbeddedTime,
Status: &status,
})
}
return txDAO.AddOrUpdateTaskClassItems(userID, items)
})
if err != nil {
return newagenttools.TaskClassUpsertPersistResult{}, err
}
return newagenttools.TaskClassUpsertPersistResult{
TaskClassID: taskClassID,
Created: created,
}, nil
},
},
}))
agentService.SetScheduleProvider(newagentconv.NewScheduleProvider(scheduleRepo, taskClassRepo))
agentService.SetCompactionStore(agentRepo)
@@ -271,3 +344,11 @@ func Start() {
r := routers.RegisterRouters(handlers, cacheRepo, userRepo, limiter)
routers.StartEngine(r)
}
func stringPtrOrNil(value string) *string {
trimmed := strings.TrimSpace(value)
if trimmed == "" {
return nil
}
return &trimmed
}