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/node/execute/run.go

@@ -0,0 +1,150 @@
+package agentexecute
+
+import (
+	"context"
+	"fmt"
+	agentshared "github.com/LoveLosita/smartflow/backend/services/agent/shared"
+
+	agentmodel "github.com/LoveLosita/smartflow/backend/services/agent/model"
+	agentprompt "github.com/LoveLosita/smartflow/backend/services/agent/prompt"
+	agentstream "github.com/LoveLosita/smartflow/backend/services/agent/stream"
+	agenttools "github.com/LoveLosita/smartflow/backend/services/agent/tools"
+	"github.com/LoveLosita/smartflow/backend/services/agent/tools/schedule"
+	llmservice "github.com/LoveLosita/smartflow/backend/services/llm"
+)
+
+const (
+	executeStageName               = "execute"
+	executeStatusBlockID           = "execute.status"
+	executeSpeakBlockID            = "execute.speak"
+	executePinnedKey               = "execution_context"
+	toolAnalyzeHealth              = "analyze_health"
+	executeHistoryKindKey          = "newagent_history_kind"
+	executeHistoryKindStepAdvanced = "execute_step_advanced"
+
+	maxConsecutiveCorrections = 3
+)
+
+type ExecuteNodeInput struct {
+	RuntimeState          *agentmodel.AgentRuntimeState
+	ConversationContext   *agentmodel.ConversationContext
+	UserInput             string
+	Client                *llmservice.Client
+	ChunkEmitter          *agentstream.ChunkEmitter
+	ResumeNode            string
+	ToolRegistry          *agenttools.ToolRegistry
+	ScheduleState         *schedule.ScheduleState
+	CompactionStore       agentmodel.CompactionStore
+	WriteSchedulePreview  agentmodel.WriteSchedulePreviewFunc
+	OriginalScheduleState *schedule.ScheduleState
+	AlwaysExecute         bool
+	ThinkingEnabled       bool
+	PersistVisibleMessage agentmodel.PersistVisibleMessageFunc
+}
+
+type ExecuteRoundObservation struct {
+	Round       int    `json:"round"`
+	StepIndex   int    `json:"step_index"`
+	GoalCheck   string `json:"goal_check,omitempty"`
+	Decision    string `json:"decision,omitempty"`
+	ToolName    string `json:"tool_name,omitempty"`
+	ToolParams  string `json:"tool_params,omitempty"`
+	ToolSuccess bool   `json:"tool_success"`
+	ToolResult  string `json:"tool_result,omitempty"`
+}
+
+func RunExecuteNode(ctx context.Context, input ExecuteNodeInput) error {
+	runtimeState, conversationContext, emitter, err := prepareExecuteNodeInput(input)
+	if err != nil {
+		return err
+	}
+
+	flowState := runtimeState.EnsureCommonState()
+	applyPendingContextHook(flowState)
+
+	if runtimeState.PendingConfirmTool != nil {
+		return executePendingTool(
+			ctx,
+			runtimeState,
+			conversationContext,
+			input.ToolRegistry,
+			input.ScheduleState,
+			input.OriginalScheduleState,
+			input.WriteSchedulePreview,
+			emitter,
+		)
+	}
+
+	if input.ScheduleState != nil && flowState.RoundUsed == 0 {
+		schedule.ResetTaskProcessingQueue(input.ScheduleState)
+	}
+
+	syncExecutePinnedContext(conversationContext, flowState)
+
+	if flowState.HasCurrentPlanStep() {
+		current, total := flowState.PlanProgress()
+		currentStep, _ := flowState.CurrentPlanStep()
+		if err := emitter.EmitStatus(
+			executeStatusBlockID,
+			executeStageName,
+			"executing",
+			fmt.Sprintf("正在执行第 %d/%d 步：%s", current, total, truncateText(currentStep.Content, 60)),
+			false,
+		); err != nil {
+			return fmt.Errorf("执行阶段状态推送失败: %w", err)
+		}
+	} else {
+		if err := emitter.EmitStatus(
+			executeStatusBlockID,
+			executeStageName,
+			"executing",
+			"正在处理你的请求...",
+			false,
+		); err != nil {
+			return fmt.Errorf("执行阶段状态推送失败: %w", err)
+		}
+	}
+
+	if !flowState.NextRound() {
+		flowState.Exhaust(
+			executeStageName,
+			"本轮执行已达到安全轮次上限，当前先停止继续操作。如需继续，我可以在你确认后接着处理剩余步骤。",
+			"execute rounds exhausted before task completion",
+		)
+		return nil
+	}
+
+	messages := agentprompt.BuildExecuteMessages(flowState, conversationContext)
+	messages = agentshared.CompactUnifiedMessagesIfNeeded(ctx, messages, agentshared.UnifiedCompactInput{
+		Client:          input.Client,
+		CompactionStore: input.CompactionStore,
+		FlowState:       flowState,
+		Emitter:         emitter,
+		StageName:       executeStageName,
+		StatusBlockID:   executeStatusBlockID,
+	})
+
+	agentshared.LogNodeLLMContext(executeStageName, "decision", flowState, messages)
+
+	decisionOutput, err := collectExecuteDecisionFromLLM(
+		ctx,
+		input,
+		flowState,
+		conversationContext,
+		emitter,
+		messages,
+	)
+	if err != nil {
+		return err
+	}
+
+	return handleExecuteDecision(
+		ctx,
+		input,
+		runtimeState,
+		flowState,
+		conversationContext,
+		emitter,
+		decisionOutput,
+	)
+}