Files
smartmate/backend/newAgent/node/deliver.go
Losita 310cdfbcb7 Version: 0.9.6.dev.260407
后端:
1.execute 正式终止协议补齐(abort / exhausted / completed 统一建模)
  - 更新model/common_state.go:新增 FlowTerminalStatus / FlowTerminalOutcome;补齐 Abort/Exhaust/ClearTerminalOutcome/IsCompleted 等统一终止语义
  - 更新model/execute_contract.go:新增 ExecuteActionAbort 与 AbortIntent;补齐 action 校验互斥规则
  - 更新prompt/execute.go:Plan/ReAct 两套 execute contract 升级到 V2,补充 abort 协议与 JSON 示例
2.graph 路由与 deliver 收口统一围绕 terminal outcome
  - 更新graph/common_graph.go:RoughBuild 改 branch;粗排异常可直接 Deliver;Execute 路由不再按“最后一轮”提前误收口
  - 更新node/execute.go:轮次耗尽改写为 Exhaust;接入 handleExecuteActionAbort;abort 不在 execute 直接对用户收口
  - 更新node/deliver.go:deliver summary 优先按 abort/exhausted 收口;不再无脑 Done;最终状态文案改为“本轮流程已结束”
  - 更新node/agent_nodes.go:仅 completed 路径写 schedule preview,aborted/exhausted 跳过
3.提示与状态摘要同步终止语义
  - 更新prompt/base.go:state summary 增加 terminal outcome 展示
前端:无 仓库:无
2026-04-07 23:59:50 +08:00

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package newagentnode
import (
"context"
"fmt"
"strings"
"time"
"github.com/cloudwego/eino/schema"
newagentllm "github.com/LoveLosita/smartflow/backend/newAgent/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"
)
const (
deliverStageName = "deliver"
deliverStatusBlockID = "deliver.status"
deliverSpeakBlockID = "deliver.speak"
)
// DeliverNodeInput 描述交付节点单轮运行所需的最小依赖。
//
// 职责边界:
// 1. 只负责生成交付总结并推送给用户,不负责后续流程推进;
// 2. RuntimeState 提供计划步骤和执行状态;
// 3. ConversationContext 提供执行阶段的对话历史;
// 4. 交付完成后标记流程结束。
type DeliverNodeInput struct {
RuntimeState *newagentmodel.AgentRuntimeState
ConversationContext *newagentmodel.ConversationContext
Client *newagentllm.Client
ChunkEmitter *newagentstream.ChunkEmitter
}
// RunDeliverNode 执行一轮交付节点逻辑。
//
// 核心职责:
// 1. 调 LLM 基于原始计划 + 执行历史生成交付总结;
// 2. 伪流式推送总结给用户;
// 3. 写入对话历史,保证上下文连续;
// 4. 标记流程结束。
//
// 降级策略:
// 1. LLM 调用失败时,回退到机械格式化总结,不中断流程;
// 2. 机械总结包含计划步骤列表和完成进度。
func RunDeliverNode(ctx context.Context, input DeliverNodeInput) error {
runtimeState, conversationContext, emitter, err := prepareDeliverNodeInput(input)
if err != nil {
return err
}
flowState := runtimeState.EnsureCommonState()
// 1. 推送交付阶段状态,让前端知道正在生成总结。
if err := emitter.EmitStatus(
deliverStatusBlockID,
deliverStageName,
"summarizing",
"正在生成交付总结。",
false,
); err != nil {
return fmt.Errorf("交付阶段状态推送失败: %w", err)
}
// 2. 调 LLM 生成交付总结。
summary := generateDeliverSummary(ctx, input.Client, flowState, conversationContext)
// 3. 伪流式推送总结。
if strings.TrimSpace(summary) != "" {
if err := emitter.EmitPseudoAssistantText(
ctx,
deliverSpeakBlockID,
deliverStageName,
summary,
newagentstream.DefaultPseudoStreamOptions(),
); err != nil {
return fmt.Errorf("交付总结推送失败: %w", err)
}
conversationContext.AppendHistory(schema.AssistantMessage(summary, nil))
}
// 4. 推送最终完成状态。
_ = emitter.EmitStatus(
deliverStatusBlockID,
deliverStageName,
"done",
"本轮流程已结束。",
true,
)
return nil
}
// generateDeliverSummary 尝试调用 LLM 生成交付总结,失败时降级到机械格式化。
func generateDeliverSummary(
ctx context.Context,
client *newagentllm.Client,
flowState *newagentmodel.CommonState,
conversationContext *newagentmodel.ConversationContext,
) string {
if flowState != nil {
switch {
case flowState.IsAborted():
return normalizeSpeak(buildAbortSummary(flowState))
case flowState.IsExhaustedTerminal():
return normalizeSpeak(buildExhaustedSummary(flowState))
}
}
if client == nil {
return buildMechanicalSummary(flowState)
}
messages := newagentprompt.BuildDeliverMessages(flowState, conversationContext)
result, err := client.GenerateText(
ctx,
messages,
newagentllm.GenerateOptions{
Temperature: 0.5,
MaxTokens: 800,
Thinking: newagentllm.ThinkingModeDisabled,
Metadata: map[string]any{
"stage": deliverStageName,
},
},
)
if err != nil || result == nil || strings.TrimSpace(result.Text) == "" {
return buildMechanicalSummary(flowState)
}
return normalizeSpeak(result.Text)
}
// buildAbortSummary 生成“流程已终止”的统一交付文案。
//
// 说明:
// 1. 第二轮开始abort 的用户可见文案由终止方提前写入 CommonState
// 2. deliver 不再重新猜测或改写业务异常,只做最终收口;
// 3. 若历史快照缺失 user_message则回退到一份通用说明避免前端收到空白结果。
func buildAbortSummary(state *newagentmodel.CommonState) string {
if state == nil || state.TerminalOutcome == nil {
return "本轮流程已终止。"
}
if msg := strings.TrimSpace(state.TerminalOutcome.UserMessage); msg != "" {
return msg
}
return "本轮流程已终止,请根据当前提示检查后再继续。"
}
// buildExhaustedSummary 生成“轮次耗尽”的统一收口文案。
func buildExhaustedSummary(state *newagentmodel.CommonState) string {
if state == nil {
return "本轮执行已达到安全轮次上限,当前先停止继续操作。"
}
prefix := "本轮执行已达到安全轮次上限,当前先停止继续操作。"
if state.TerminalOutcome != nil && strings.TrimSpace(state.TerminalOutcome.UserMessage) != "" {
prefix = strings.TrimSpace(state.TerminalOutcome.UserMessage)
}
if !state.HasPlan() {
return prefix
}
return prefix + "\n\n" + strings.TrimSpace(buildMechanicalSummary(state))
}
// buildMechanicalSummary 在 LLM 不可用时,机械拼接一份最小可用总结。
func buildMechanicalSummary(state *newagentmodel.CommonState) string {
if state == nil {
return "任务流程已结束。"
}
var sb strings.Builder
current, total := state.PlanProgress()
if !state.HasPlan() {
return "任务流程已结束。"
}
if state.IsExhaustedTerminal() {
sb.WriteString(fmt.Sprintf("任务因执行轮次耗尽提前结束,已完成 %d/%d 步。\n", current, total))
} else {
sb.WriteString("所有计划步骤已执行完毕。\n")
}
sb.WriteString("\n执行情况\n")
for i, step := range state.PlanSteps {
marker := "[ ]"
if i < current {
marker = "[x]"
}
sb.WriteString(fmt.Sprintf("%s %s\n", marker, strings.TrimSpace(step.Content)))
}
if state.IsExhaustedTerminal() && current < total {
sb.WriteString("\n如需继续完成剩余步骤可以告诉我继续。")
}
return sb.String()
}
// prepareDeliverNodeInput 校验并准备交付节点的运行态依赖。
func prepareDeliverNodeInput(input DeliverNodeInput) (
*newagentmodel.AgentRuntimeState,
*newagentmodel.ConversationContext,
*newagentstream.ChunkEmitter,
error,
) {
if input.RuntimeState == nil {
return nil, nil, nil, fmt.Errorf("deliver node: runtime state 不能为空")
}
input.RuntimeState.EnsureCommonState()
if input.ConversationContext == nil {
input.ConversationContext = newagentmodel.NewConversationContext("")
}
if input.ChunkEmitter == nil {
input.ChunkEmitter = newagentstream.NewChunkEmitter(
newagentstream.NoopPayloadEmitter(), "", "", time.Now().Unix(),
)
}
return input.RuntimeState, input.ConversationContext, input.ChunkEmitter, nil
}