Version: 0.9.75.dev.260505

后端：
1.收口阶段 6 agent 结构迁移，将 newAgent 内核与 agentsvc 编排层迁入 services/agent
- 切换 Agent 启动装配与 HTTP handler 直连 agent sv，移除旧 service agent bridge
- 补齐 Agent 对 memory、task、task-class、schedule 的 RPC 适配与契约字段
- 扩展 schedule、task、task-class RPC/contract 支撑 Agent 查询、写入与 provider 切流
- 更新迁移文档、README 与相关注释，明确 agent 当前切流点和剩余 memory 迁移面

backend/services/agent/sv/reasoning_summary.go

@@ -0,0 +1,112 @@
+package sv
+
+import (
+	"context"
+	"errors"
+	"log"
+	"strings"
+
+	agentprompt "github.com/LoveLosita/smartflow/backend/services/agent/prompt"
+	agentstream "github.com/LoveLosita/smartflow/backend/services/agent/stream"
+	llmservice "github.com/LoveLosita/smartflow/backend/services/llm"
+)
+
+const reasoningSummaryMaxTokens = 700
+
+type reasoningSummaryLLMResponse struct {
+	ShortSummary  string `json:"short_summary"`
+	DetailSummary string `json:"detail_summary"`
+}
+
+// makeReasoningSummaryFunc 把便宜模型封装成 stream 层可注入的摘要函数。
+//
+// 职责边界：
+// 1. service 层负责选择模型与 prompt，stream 层只负责调度和闸门；
+// 2. 这里不持久化摘要，持久化统一走 ChunkEmitter 的 extra hook；
+// 3. 摘要失败时返回 error，由 ReasoningDigestor 吞掉并等待下一次水位线/Flush 兜底。
+func (s *AgentService) makeReasoningSummaryFunc(client *llmservice.Client) agentstream.ReasoningSummaryFunc {
+	if client == nil {
+		return nil
+	}
+
+	return func(ctx context.Context, input agentstream.ReasoningSummaryInput) (agentstream.StreamThinkingSummaryExtra, error) {
+		previousSummary := ""
+		if input.PreviousSummary != nil {
+			previousSummary = input.PreviousSummary.DetailSummary
+			if strings.TrimSpace(previousSummary) == "" {
+				previousSummary = input.PreviousSummary.ShortSummary
+			}
+		}
+
+		messages := agentprompt.BuildReasoningSummaryMessages(agentprompt.ReasoningSummaryPromptInput{
+			FullReasoning:   input.FullReasoning,
+			DeltaReasoning:  input.DeltaReasoning,
+			PreviousSummary: previousSummary,
+			CandidateSeq:    input.CandidateSeq,
+			Final:           input.Final,
+			DurationSeconds: input.DurationSeconds,
+		})
+
+		resp, rawResult, err := llmservice.GenerateJSON[reasoningSummaryLLMResponse](
+			ctx,
+			client,
+			messages,
+			llmservice.GenerateOptions{
+				Temperature: 0.1,
+				MaxTokens:   reasoningSummaryMaxTokens,
+				Thinking:    llmservice.ThinkingModeDisabled,
+				Metadata: map[string]any{
+					"stage":         "reasoning_summary",
+					"candidate_seq": input.CandidateSeq,
+					"final":         input.Final,
+				},
+			},
+		)
+		if err != nil {
+			log.Printf("[WARN] reasoning 摘要模型调用失败 seq=%d final=%v err=%v raw=%s",
+				input.CandidateSeq,
+				input.Final,
+				err,
+				truncateReasoningSummaryRaw(rawResult),
+			)
+			return agentstream.StreamThinkingSummaryExtra{}, err
+		}
+
+		summary := agentstream.StreamThinkingSummaryExtra{
+			ShortSummary: strings.TrimSpace(resp.ShortSummary),
+			DetailSummary: limitReasoningDetailSummary(
+				resp.DetailSummary,
+				agentprompt.ReasoningSummaryDetailRuneLimit(input.FullReasoning, input.DeltaReasoning),
+			),
+		}
+		if summary.ShortSummary == "" && summary.DetailSummary == "" {
+			return agentstream.StreamThinkingSummaryExtra{}, errors.New("reasoning 摘要模型返回空摘要")
+		}
+		return summary, nil
+	}
+}
+
+func limitReasoningDetailSummary(text string, maxRunes int) string {
+	text = strings.TrimSpace(text)
+	if text == "" || maxRunes <= 0 {
+		return text
+	}
+
+	runes := []rune(text)
+	if len(runes) <= maxRunes {
+		return text
+	}
+	return string(runes[:maxRunes])
+}
+
+func truncateReasoningSummaryRaw(raw *llmservice.TextResult) string {
+	if raw == nil {
+		return ""
+	}
+	text := strings.TrimSpace(raw.Text)
+	runes := []rune(text)
+	if len(runes) <= 200 {
+		return text
+	}
+	return string(runes[:200]) + "..."
+}