Version: 0.9.22.dev.260416

后端:
1. 品牌文案与聊天定位统一切到 SmartMate,并放宽非排程问答能力
   - 系统人设、路由、排程、查询、交付提示统一从 SmartFlow 改为 SmartMate
   - 明确普通问答/生活建议/开放讨论可正常回答,deep_answer 不再输出“让我想想”等占位话术
   - thinkingMode=auto 时,deep_answer 默认开启 thinking,execute 继续跟随路由决策,其余路由默认关闭
2. Memory 读取链路升级为“结构化强约束 + 语义候选”hybrid 模式,并补齐注入渲染 / Execute 消费
   - 新增 read.mode、四类记忆预算、inject.renderMode 等配置及默认值
   - 落地 HybridRetrieve,统一 MySQL/RAG 读侧作用域、三级去重(ID/hash/text)、统一重排与按类型预算裁剪
   - 新增 FindPinnedByUser、content_hash DTO/兜底补算、legacy/RAG 共用读侧查询口径与 fallback 逻辑
   - 记忆注入支持 flat/typed_v2 两种渲染,execute msg3 正式消费 memory_context,主链路注入 MemoryReader 时同步透传 memory 配置
3. Memory 第二步/第三步 handoff 与治理文档补齐
   - HANDOFF_Memory向Mem0靠拢三步冲刺计划.md 从 newAgent 迁到 memory 目录,并补充“我的记忆”增删改查与最小留痕口径
   - 新增 backend/memory/记忆模块第二步计划.md、backend/memory/第三步治理与观测落地计划.md,分别拆解 hybrid 读取注入闭环与治理/观测/清理路线
   - 同步更新 backend/memory/Log.txt 调试日志
前端:
1. 助手输入区新增“智能编排”任务类选择器,并把 task_class_ids 作为请求 extra 透传
   - 新建 frontend/src/components/assistant/TaskClassPlanningPicker.vue,支持拉取任务类列表、临时勾选、已选标签回显与清空
   - 更新 frontend/src/components/dashboard/AssistantPanel.vue、frontend/src/types/dashboard.ts:Chat extra 正式建模 task_class_ids / retry 字段;当本轮带编排任务类时强制新起会话,避免把现有会话历史误混入新编排
2. 会话上下文窗口统计接入前端展示
   - 更新 frontend/src/api/agent.ts、新建 frontend/src/components/assistant/ContextWindowMeter.vue、更新 frontend/src/components/dashboard/AssistantPanel.vue、frontend/src/types/dashboard.ts:接入 /agent/context-stats,兼容 object/string/null 三种返回;在输入工具栏展示 msg0~msg3 占比与预算使用率
3. 助手面板交互细节优化
   - 更新 frontend/src/components/dashboard/AssistantPanel.vue:thinking 开关改为 auto/true/false 三态选择;切会话与重试后同步刷新 context stats;历史列表首屏不足时自动继续分页直到形成滚动区
仓库:无
This commit is contained in:
Losita
2026-04-16 18:29:17 +08:00
parent 634a9fb926
commit a1b2ffedb8
38 changed files with 3150 additions and 277 deletions

View File

@@ -71,6 +71,9 @@ func (s *ReadService) Retrieve(ctx context.Context, req memorymodel.RetrieveRequ
}
limit := normalizeLimit(req.Limit, defaultRetrieveLimit, maxRetrieveLimit)
if s.cfg.EffectiveReadMode() == memorymodel.MemoryReadModeHybrid {
return s.HybridRetrieve(ctx, req, effectiveSetting, limit, now)
}
if s.cfg.RAGEnabled && s.ragRuntime != nil && strings.TrimSpace(req.Query) != "" {
items, ragErr := s.retrieveByRAG(ctx, req, effectiveSetting, limit, now)
if ragErr == nil && len(items) > 0 {
@@ -91,18 +94,12 @@ func (s *ReadService) retrieveByLegacy(
if !effectiveSetting.MemoryEnabled {
return nil, nil
}
query := memorymodel.ItemQuery{
UserID: req.UserID,
ConversationID: req.ConversationID,
AssistantID: req.AssistantID,
RunID: req.RunID,
Statuses: []string{model.MemoryItemStatusActive},
MemoryTypes: normalizeRetrieveMemoryTypes(req.MemoryTypes),
IncludeGlobal: true,
OnlyUnexpired: true,
Limit: normalizeLimit(limit*3, limit*3, maxRetrieveLimit*3),
Now: now,
}
query := buildReadScopedItemQuery(
req,
now,
[]string{model.MemoryItemStatusActive},
normalizeLimit(limit*3, limit*3, maxRetrieveLimit*3),
)
items, err := s.itemRepo.FindByQuery(ctx, query)
if err != nil {
@@ -114,8 +111,8 @@ func (s *ReadService) retrieveByLegacy(
}
sort.SliceStable(items, func(i, j int) bool {
left := scoreRetrievedItem(items[i], now, req.ConversationID)
right := scoreRetrievedItem(items[j], now, req.ConversationID)
left := scoreRetrievedItem(items[i], now)
right := scoreRetrievedItem(items[j], now)
if left == right {
return items[i].ID > items[j].ID
}
@@ -140,17 +137,7 @@ func (s *ReadService) retrieveByRAG(
return nil, nil
}
result, err := s.ragRuntime.RetrieveMemory(ctx, infrarag.MemoryRetrieveRequest{
Query: req.Query,
TopK: limit,
Threshold: s.cfg.Threshold,
Action: "search",
UserID: req.UserID,
ConversationID: req.ConversationID,
AssistantID: req.AssistantID,
RunID: req.RunID,
MemoryTypes: normalizeRetrieveMemoryTypes(req.MemoryTypes),
})
result, err := s.ragRuntime.RetrieveMemory(ctx, buildReadScopedRAGRequest(req, limit, s.cfg.Threshold))
if err != nil || result == nil || len(result.Items) == 0 {
return nil, err
}
@@ -193,14 +180,17 @@ func normalizeRetrieveMemoryTypes(raw []string) []string {
}
}
func scoreRetrievedItem(item model.MemoryItem, now time.Time, conversationID string) float64 {
// scoreRetrievedItem 计算 legacy 读链路的确定性排序分数。
//
// 说明:
// 1. 这里只保留 importance / confidence / recency / explicit / type 这些稳定特征;
// 2. conversation_id 已不再参与读侧打分,因为同对话信息本就已经在上下文窗口内;
// 3. 若后续需要引入语义分或 reranker应在 DTO 层补齐对应字段后再统一并入。
func scoreRetrievedItem(item model.MemoryItem, now time.Time) float64 {
score := 0.35*clamp01(item.Importance) + 0.3*clamp01(item.Confidence) + 0.2*recencyScore(item, now)
if item.IsExplicit {
score += 0.1
}
if strValue(item.ConversationID) != "" && strValue(item.ConversationID) == conversationID {
score += 0.08
}
switch item.MemoryType {
case memorymodel.MemoryTypeConstraint:
score += 0.12
@@ -262,15 +252,18 @@ func collectMemoryIDs(items []model.MemoryItem) []int64 {
func buildMemoryDTOFromRetrieveHit(hit infrarag.RetrieveHit) (memorymodel.ItemDTO, int64) {
memoryID := parseMemoryIDFromDocumentID(hit.DocumentID)
metadata := hit.Metadata
content := strings.TrimSpace(hit.Text)
memoryType := readString(metadata["memory_type"])
dto := memorymodel.ItemDTO{
ID: memoryID,
UserID: int(readFloatLike(metadata["user_id"])),
ConversationID: readString(metadata["conversation_id"]),
AssistantID: readString(metadata["assistant_id"]),
RunID: readString(metadata["run_id"]),
MemoryType: readString(metadata["memory_type"]),
MemoryType: memoryType,
Title: readString(metadata["title"]),
Content: strings.TrimSpace(hit.Text),
Content: content,
ContentHash: fallbackContentHash(memoryType, content, readString(metadata["content_hash"])),
Confidence: readFloatLike(metadata["confidence"]),
Importance: readFloatLike(metadata["importance"]),
SensitivityLevel: int(readFloatLike(metadata["sensitivity_level"])),