Version: 0.9.47.dev.260427

后端：
1. execute 节点继续拆职责——超大 execute.go 下沉为 node/execute 子包，按决策流、动作路由、上下文锚点、工具执行、状态快照、工具展示与参数解析拆分；顶层 execute.go 收敛为桥接导出，降低单文件编排/业务/模型/工具逻辑混写
2. 节点公共能力继续沉到 shared——抽出 LLM 纠错回灌、完整上下文调试日志、thinking 开关、统一上下文压缩、可见 assistant 文本持久化等 node_* 公共件，减少 execute 独占实现并为其他节点复用铺路
3. speak 文本整理能力独立收口——新增 speak_text 辅助文件，补齐正文归一化的独立承载，继续收缩 execute 主文件体积

前端：
4. NewAgent 时间线接入 business_card 业务卡片协议——schedule_agent.ts 新增 task_query / task_record 卡片载荷类型与 business_card kind；AssistantPanel 增加业务卡片事件存储、时间线恢复、块渲染分支与 BusinessCardRenderer 接入，同时保留 interrupt / status / tool / reasoning 多块并存
5. 新增任务查询卡片与任务记录卡片组件，并补充 DesignDemo 设计预览页与路由，前端可先行验证 business_card 的视觉与交互落点

文档：
6. 新增 newagent business card 前后端对接说明，明确 timeline kind、payload 结构、卡片分类、前后端发射/渲染约束

backend/newAgent/node/execute/run.go

@@ -0,0 +1,150 @@
+package newagentexecute
+
+import (
+	"context"
+	"fmt"
+	newagentshared "github.com/LoveLosita/smartflow/backend/newAgent/shared"
+
+	infrallm "github.com/LoveLosita/smartflow/backend/infra/llm"
+	newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
+	newagentprompt "github.com/LoveLosita/smartflow/backend/newAgent/prompt"
+	newagentstream "github.com/LoveLosita/smartflow/backend/newAgent/stream"
+	newagenttools "github.com/LoveLosita/smartflow/backend/newAgent/tools"
+	"github.com/LoveLosita/smartflow/backend/newAgent/tools/schedule"
+)
+
+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          *newagentmodel.AgentRuntimeState
+	ConversationContext   *newagentmodel.ConversationContext
+	UserInput             string
+	Client                *infrallm.Client
+	ChunkEmitter          *newagentstream.ChunkEmitter
+	ResumeNode            string
+	ToolRegistry          *newagenttools.ToolRegistry
+	ScheduleState         *schedule.ScheduleState
+	CompactionStore       newagentmodel.CompactionStore
+	WriteSchedulePreview  newagentmodel.WriteSchedulePreviewFunc
+	OriginalScheduleState *schedule.ScheduleState
+	AlwaysExecute         bool
+	ThinkingEnabled       bool
+	PersistVisibleMessage newagentmodel.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 := newagentprompt.BuildExecuteMessages(flowState, conversationContext)
+	messages = newagentshared.CompactUnifiedMessagesIfNeeded(ctx, messages, newagentshared.UnifiedCompactInput{
+		Client:          input.Client,
+		CompactionStore: input.CompactionStore,
+		FlowState:       flowState,
+		Emitter:         emitter,
+		StageName:       executeStageName,
+		StatusBlockID:   executeStatusBlockID,
+	})
+
+	newagentshared.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,
+	)
+}