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
This commit is contained in:
LoveLosita
2026-04-27 17:35:55 +08:00
parent 736ba0cff3
commit 0b0ed3c61a
23 changed files with 4528 additions and 2966 deletions

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package newagentexecute
import (
"context"
"fmt"
newagentshared "github.com/LoveLosita/smartflow/backend/newAgent/shared"
"io"
"log"
"strings"
infrallm "github.com/LoveLosita/smartflow/backend/infra/llm"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
newagentrouter "github.com/LoveLosita/smartflow/backend/newAgent/router"
newagentstream "github.com/LoveLosita/smartflow/backend/newAgent/stream"
newagenttools "github.com/LoveLosita/smartflow/backend/newAgent/tools"
"github.com/cloudwego/eino/schema"
"github.com/google/uuid"
)
type executeDecisionStreamOutput struct {
decision *newagentmodel.ExecuteDecision
rawText string
parsedBeforeText string
parsedAfterText string
streamedSpeak string
speakStreamed bool
firstChunk bool
}
func collectExecuteDecisionFromLLM(
ctx context.Context,
input ExecuteNodeInput,
flowState *newagentmodel.CommonState,
conversationContext *newagentmodel.ConversationContext,
emitter *newagentstream.ChunkEmitter,
messages []*schema.Message,
) (*executeDecisionStreamOutput, error) {
reader, err := input.Client.Stream(
ctx,
messages,
infrallm.GenerateOptions{
Temperature: 1.0,
MaxTokens: 131072,
Thinking: newagentshared.ResolveThinkingMode(input.ThinkingEnabled),
Metadata: map[string]any{
"stage": executeStageName,
"step_index": flowState.CurrentStep,
"round_used": flowState.RoundUsed,
},
},
)
if err != nil {
return nil, fmt.Errorf("执行阶段 Stream 请求失败: %w", err)
}
parser := newagentrouter.NewStreamDecisionParser()
output := &executeDecisionStreamOutput{firstChunk: true}
var fullText strings.Builder
for {
chunk, recvErr := reader.Recv()
if recvErr == io.EOF {
break
}
if recvErr != nil {
log.Printf("[WARN] execute stream recv error chat=%s err=%v", flowState.ConversationID, recvErr)
break
}
if chunk != nil && strings.TrimSpace(chunk.ReasoningContent) != "" {
if emitErr := emitter.EmitReasoningText(
executeSpeakBlockID,
executeStageName,
chunk.ReasoningContent,
output.firstChunk,
); emitErr != nil {
return nil, fmt.Errorf("执行 thinking 推送失败: %w", emitErr)
}
output.firstChunk = false
}
content := ""
if chunk != nil {
content = chunk.Content
}
visible, ready, _ := parser.Feed(content)
if !ready {
continue
}
result := parser.Result()
output.rawText = result.RawBuffer
output.parsedBeforeText = result.BeforeText
output.parsedAfterText = result.AfterText
if result.Fallback || result.ParseFailed {
log.Printf(
"[DEBUG] execute LLM 决策解析失败 chat=%s round=%d raw=%s",
flowState.ConversationID,
flowState.RoundUsed,
output.rawText,
)
flowState.ConsecutiveCorrections++
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return nil, fmt.Errorf(
"连续 %d 次解析决策 JSON 失败,终止执行。原始输出=%s",
flowState.ConsecutiveCorrections,
output.rawText,
)
}
errorDesc := "未识别到合法的 SMARTFLOW_DECISION 标签,无法继续解析。"
optionHint := "请输出一个 <SMARTFLOW_DECISION>{JSON}</SMARTFLOW_DECISION>,然后再在标签外补充可见文本。"
if strings.Contains(output.rawText, `"tool_call": [`) || strings.Contains(output.rawText, `"tool_call":[`) {
errorDesc = "检测到 tool_call 字段被错误写成数组;每次只允许调用一个工具,不支持数组形式。"
optionHint = "请把多次工具调用拆开,每次只保留一个 tool_call然后再继续下一轮。"
}
newagentshared.AppendLLMCorrectionWithHint(conversationContext, output.rawText, errorDesc, optionHint)
return nil, nil
}
decision, parseErr := infrallm.ParseJSONObject[newagentmodel.ExecuteDecision](result.DecisionJSON)
if parseErr != nil {
log.Printf(
"[DEBUG] execute LLM JSON 解析失败 chat=%s round=%d json=%s raw=%s",
flowState.ConversationID,
flowState.RoundUsed,
result.DecisionJSON,
output.rawText,
)
flowState.ConsecutiveCorrections++
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return nil, fmt.Errorf(
"连续 %d 次解析决策 JSON 失败,终止执行。原始输出=%s",
flowState.ConsecutiveCorrections,
output.rawText,
)
}
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
"",
"决策标签内的 JSON 格式不合法。",
"请确保 <SMARTFLOW_DECISION> 标签内是合法 JSON当 action=next_plan/done 时goal_check 必须是字符串(不要输出对象)。",
)
return nil, nil
}
output.decision = decision
if visible != "" {
if emitErr := emitter.EmitAssistantText(
executeSpeakBlockID,
executeStageName,
visible,
output.firstChunk,
); emitErr != nil {
return nil, fmt.Errorf("执行回答推送失败: %w", emitErr)
}
output.speakStreamed = true
fullText.WriteString(visible)
output.firstChunk = false
}
for {
chunk2, recvErr2 := reader.Recv()
if recvErr2 == io.EOF {
break
}
if recvErr2 != nil {
log.Printf("[WARN] execute speak stream error chat=%s err=%v", flowState.ConversationID, recvErr2)
break
}
if chunk2 == nil {
continue
}
if strings.TrimSpace(chunk2.ReasoningContent) != "" {
_ = emitter.EmitReasoningText(executeSpeakBlockID, executeStageName, chunk2.ReasoningContent, false)
}
if chunk2.Content != "" {
if emitErr := emitter.EmitAssistantText(
executeSpeakBlockID,
executeStageName,
chunk2.Content,
output.firstChunk,
); emitErr != nil {
return nil, fmt.Errorf("执行回答推送失败: %w", emitErr)
}
output.speakStreamed = true
fullText.WriteString(chunk2.Content)
output.firstChunk = false
}
}
break
}
if output.decision == nil {
if strings.TrimSpace(output.rawText) == "" {
log.Printf(
"[WARN] execute LLM 返回空文本 chat=%s round=%d consecutive=%d/%d",
flowState.ConversationID,
flowState.RoundUsed,
flowState.ConsecutiveCorrections+1,
maxConsecutiveCorrections,
)
flowState.ConsecutiveCorrections++
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return nil, fmt.Errorf("连续 %d 次模型返回空文本,终止执行", flowState.ConsecutiveCorrections)
}
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
"",
"模型没有返回任何内容。",
"请至少返回一个 <SMARTFLOW_DECISION>{JSON}</SMARTFLOW_DECISION> 形式的执行决策。",
)
return nil, nil
}
return nil, fmt.Errorf("执行阶段模型输出中未提取到决策标签")
}
output.streamedSpeak = fullText.String()
output.decision.Speak = pickExecuteVisibleSpeak(
output.streamedSpeak,
output.parsedAfterText,
output.parsedBeforeText,
output.decision,
)
log.Printf(
"[DEBUG] execute LLM 响应 chat=%s round=%d action=%s speak_len=%d raw_len=%d raw_preview=%.200s",
flowState.ConversationID,
flowState.RoundUsed,
output.decision.Action,
len(output.decision.Speak),
len(output.rawText),
output.rawText,
)
return output, nil
}
func handleExecuteDecision(
ctx context.Context,
input ExecuteNodeInput,
runtimeState *newagentmodel.AgentRuntimeState,
flowState *newagentmodel.CommonState,
conversationContext *newagentmodel.ConversationContext,
emitter *newagentstream.ChunkEmitter,
output *executeDecisionStreamOutput,
) error {
if output == nil || output.decision == nil {
return nil
}
decision := output.decision
if decision.Action == newagentmodel.ExecuteActionDone &&
decision.ToolCall != nil &&
strings.EqualFold(strings.TrimSpace(decision.ToolCall.Name), newagenttools.ToolNameContextToolsRemove) {
decision.ToolCall = nil
}
if err := decision.Validate(); err != nil {
flowState.ConsecutiveCorrections++
log.Printf(
"[WARN] execute 决策不合法 chat=%s round=%d consecutive=%d/%d err=%s",
flowState.ConversationID,
flowState.RoundUsed,
flowState.ConsecutiveCorrections,
maxConsecutiveCorrections,
err.Error(),
)
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return fmt.Errorf(
"连续 %d 次决策不合法,终止执行。%s (原始输出: %s)",
flowState.ConsecutiveCorrections,
err.Error(),
output.rawText,
)
}
_ = emitter.EmitStatus(
executeStatusBlockID,
executeStageName,
"executing",
fmt.Sprintf("执行校验:决策不合法:%s已请求模型重试。", err.Error()),
false,
)
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
"",
fmt.Sprintf("本次执行决策不合法:%s", err.Error()),
"合法的 action 包括continue继续当前步骤、ask_user追问用户、confirm写操作确认、next_plan推进到下一步、done任务完成、abort正式终止本轮流程。",
)
return nil
}
flowState.ConsecutiveCorrections = 0
decision.Speak = pickExecuteVisibleSpeak(
decision.Speak,
output.parsedAfterText,
output.parsedBeforeText,
decision,
)
decision.Speak = normalizeSpeak(decision.Speak)
if decision.Action == newagentmodel.ExecuteActionConfirm &&
decision.ToolCall != nil &&
input.ToolRegistry != nil &&
!input.ToolRegistry.IsWriteTool(decision.ToolCall.Name) {
decision.Action = newagentmodel.ExecuteActionContinue
}
if decision.Action == newagentmodel.ExecuteActionContinue &&
decision.ToolCall != nil &&
newagenttools.IsContextManagementTool(decision.ToolCall.Name) {
decision.Speak = ""
}
if !output.speakStreamed && strings.TrimSpace(decision.Speak) != "" {
if emitErr := emitter.EmitAssistantText(
executeSpeakBlockID,
executeStageName,
decision.Speak,
output.firstChunk,
); emitErr != nil {
return fmt.Errorf("执行回答补发失败: %w", emitErr)
}
output.speakStreamed = true
output.firstChunk = false
}
if output.speakStreamed {
if tail := buildExecuteNormalizedSpeakTail(output.streamedSpeak, decision.Speak); tail != "" {
if emitErr := emitter.EmitAssistantText(
executeSpeakBlockID,
executeStageName,
tail,
output.firstChunk,
); emitErr != nil {
return fmt.Errorf("执行回答尾段补发失败: %w", emitErr)
}
output.firstChunk = false
}
}
if flowState.HasPlan() &&
(decision.Action == newagentmodel.ExecuteActionNextPlan ||
decision.Action == newagentmodel.ExecuteActionDone) {
if strings.TrimSpace(decision.GoalCheck) == "" {
flowState.ConsecutiveCorrections++
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return fmt.Errorf("连续 %d 次 goal_check 为空,终止执行", flowState.ConsecutiveCorrections)
}
_ = emitter.EmitStatus(
executeStatusBlockID,
executeStageName,
"executing",
fmt.Sprintf("执行校验action=%s 缺少 goal_check已请求模型重试。", decision.Action),
false,
)
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
"",
fmt.Sprintf("你输出了 action=%s但 goal_check 为空。", decision.Action),
fmt.Sprintf("输出 %s 时,必须在 goal_check 中对照 done_when 逐条说明完成依据。", decision.Action),
)
return nil
}
}
askUserHistoryAppended := false
if strings.TrimSpace(decision.Speak) != "" {
isConfirmWithCard := decision.Action == newagentmodel.ExecuteActionConfirm && !input.AlwaysExecute
isAskUser := decision.Action == newagentmodel.ExecuteActionAskUser
isAbort := decision.Action == newagentmodel.ExecuteActionAbort
if !isConfirmWithCard && !isAskUser && !isAbort {
msg := schema.AssistantMessage(decision.Speak, nil)
newagentshared.PersistVisibleAssistantMessage(ctx, input.PersistVisibleMessage, flowState, msg)
}
if !isAbort {
conversationContext.AppendHistory(&schema.Message{
Role: schema.Assistant,
Content: decision.Speak,
})
if isAskUser {
askUserHistoryAppended = true
}
}
}
switch decision.Action {
case newagentmodel.ExecuteActionContinue:
if decision.ToolCall != nil {
if input.ToolRegistry != nil && input.ToolRegistry.IsWriteTool(decision.ToolCall.Name) {
flowState.ConsecutiveCorrections++
log.Printf(
"[WARN] execute 决策协议违背 chat=%s round=%d action=continue tool=%s consecutive=%d/%d",
flowState.ConversationID,
flowState.RoundUsed,
strings.TrimSpace(decision.ToolCall.Name),
flowState.ConsecutiveCorrections,
maxConsecutiveCorrections,
)
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return fmt.Errorf("连续 %d 次输出 continue+写工具,终止执行", flowState.ConsecutiveCorrections)
}
_ = emitter.EmitStatus(
executeStatusBlockID,
executeStageName,
"executing",
fmt.Sprintf(
"执行校验:写工具 %q 未执行。原因:模型输出了 action=continue所有写工具都必须使用 action=confirm。",
strings.TrimSpace(decision.ToolCall.Name),
),
false,
)
llmOutput := decision.Speak
if strings.TrimSpace(llmOutput) == "" {
llmOutput = decision.Reason
}
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
llmOutput,
fmt.Sprintf("你输出了 action=continue但同时提供了 %q 这个写工具。", decision.ToolCall.Name),
"所有写工具都必须使用 action=confirm并放在同一个 tool_call 中continue 仅用于读工具。如果写操作尚未执行,请直接回发 confirm。",
)
return nil
}
if shouldForceFeasibilityNegotiation(flowState, input.ToolRegistry, decision.ToolCall.Name) {
runtimeState.OpenAskUserInteraction(
uuid.NewString(),
buildInfeasibleNegotiationQuestion(flowState),
strings.TrimSpace(input.ResumeNode),
)
return nil
}
return executeToolCall(
ctx,
flowState,
conversationContext,
decision.ToolCall,
emitter,
input.ToolRegistry,
input.ScheduleState,
input.WriteSchedulePreview,
)
}
if strings.TrimSpace(decision.Speak) == "" && strings.TrimSpace(decision.Reason) != "" {
conversationContext.AppendHistory(&schema.Message{
Role: schema.Assistant,
Content: decision.Reason,
})
}
return nil
case newagentmodel.ExecuteActionAskUser:
question := resolveExecuteAskUserText(decision)
runtimeState.OpenAskUserInteraction(uuid.NewString(), question, strings.TrimSpace(input.ResumeNode))
runtimeState.SetPendingInteractionMetadata(newagentmodel.PendingMetaAskUserSpeakStreamed, output.speakStreamed)
runtimeState.SetPendingInteractionMetadata(newagentmodel.PendingMetaAskUserHistoryAppended, askUserHistoryAppended)
return nil
case newagentmodel.ExecuteActionConfirm:
if decision.ToolCall != nil && shouldForceFeasibilityNegotiation(flowState, input.ToolRegistry, decision.ToolCall.Name) {
runtimeState.OpenAskUserInteraction(
uuid.NewString(),
buildInfeasibleNegotiationQuestion(flowState),
strings.TrimSpace(input.ResumeNode),
)
return nil
}
if input.AlwaysExecute && decision.ToolCall != nil {
return executeToolCall(
ctx,
flowState,
conversationContext,
decision.ToolCall,
emitter,
input.ToolRegistry,
input.ScheduleState,
input.WriteSchedulePreview,
)
}
return handleExecuteActionConfirm(decision, runtimeState, flowState)
case newagentmodel.ExecuteActionNextPlan:
if !flowState.AdvanceStep() {
flowState.Done()
}
appendExecuteStepAdvancedMarker(conversationContext)
syncExecutePinnedContext(conversationContext, flowState)
return nil
case newagentmodel.ExecuteActionDone:
flowState.Done()
return nil
case newagentmodel.ExecuteActionAbort:
return handleExecuteActionAbort(decision, flowState)
default:
llmOutput := decision.Speak
if strings.TrimSpace(llmOutput) == "" {
llmOutput = decision.Reason
}
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
llmOutput,
fmt.Sprintf("你输出的 action %q 不是合法的执行动作。", decision.Action),
"合法的 action 包括continue继续当前步骤、ask_user追问用户、confirm写操作确认、next_plan推进到下一步、done任务完成、abort正式终止本轮流程。",
)
return nil
}
}

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package newagentexecute
import (
"encoding/json"
"fmt"
"strings"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
)
func resolveExecuteAskUserText(decision *newagentmodel.ExecuteDecision) string {
if decision == nil {
return "执行过程中遇到不确定的情况,需要向你确认。"
}
if strings.TrimSpace(decision.Speak) != "" {
return strings.TrimSpace(decision.Speak)
}
if strings.TrimSpace(decision.Reason) != "" {
return strings.TrimSpace(decision.Reason)
}
return "执行过程中遇到不确定的情况,需要向你确认。"
}
func pickExecuteVisibleSpeak(
streamed string,
afterText string,
beforeText string,
decision *newagentmodel.ExecuteDecision,
) string {
if text := strings.TrimSpace(streamed); text != "" {
return text
}
if text := strings.TrimSpace(afterText); text != "" {
return text
}
if text := strings.TrimSpace(beforeText); text != "" {
return text
}
return buildExecuteSpeakWithFallback(decision)
}
func buildExecuteSpeakWithFallback(decision *newagentmodel.ExecuteDecision) string {
if decision == nil {
return ""
}
speak := strings.TrimSpace(decision.Speak)
if speak != "" {
return speak
}
switch decision.Action {
case newagentmodel.ExecuteActionContinue,
newagentmodel.ExecuteActionAskUser,
newagentmodel.ExecuteActionConfirm:
if reason := strings.TrimSpace(decision.Reason); reason != "" {
return reason
}
switch decision.Action {
case newagentmodel.ExecuteActionAskUser:
return "我还缺少一条关键信息,想先向你确认。"
case newagentmodel.ExecuteActionConfirm:
return "我先整理好这一步操作,等待你的确认。"
default:
return "我先继续这一步处理,马上给你结果。"
}
default:
return speak
}
}
func handleExecuteActionConfirm(
decision *newagentmodel.ExecuteDecision,
runtimeState *newagentmodel.AgentRuntimeState,
flowState *newagentmodel.CommonState,
) error {
toolCall := decision.ToolCall
argsJSON := ""
if toolCall.Arguments != nil {
if raw, err := json.Marshal(toolCall.Arguments); err == nil {
argsJSON = string(raw)
}
}
runtimeState.PendingConfirmTool = &newagentmodel.PendingToolCallSnapshot{
ToolName: toolCall.Name,
ArgsJSON: argsJSON,
Summary: strings.TrimSpace(decision.Speak),
}
flowState.Phase = newagentmodel.PhaseWaitingConfirm
return nil
}
func handleExecuteActionAbort(
decision *newagentmodel.ExecuteDecision,
flowState *newagentmodel.CommonState,
) error {
if decision == nil || decision.Abort == nil {
return fmt.Errorf("abort 动作缺少终止信息")
}
if flowState == nil {
return fmt.Errorf("abort 动作缺少流程状态")
}
internalReason := strings.TrimSpace(decision.Abort.InternalReason)
if internalReason == "" {
internalReason = strings.TrimSpace(decision.Reason)
}
flowState.Abort(
executeStageName,
decision.Abort.Code,
decision.Abort.UserMessage,
internalReason,
)
return nil
}

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package newagentexecute
import (
"encoding/json"
"fmt"
"strconv"
"strings"
)
func intSliceToSet(values []int) map[int]struct{} {
result := make(map[int]struct{}, len(values))
for _, value := range values {
result[value] = struct{}{}
}
return result
}
func readIntAnyFromMap(args map[string]any, keys ...string) (int, bool) {
for _, key := range keys {
if args == nil {
continue
}
raw, exists := args[key]
if !exists {
continue
}
if value, ok := parseAnyToInt(raw); ok {
return value, true
}
}
return 0, false
}
func readIntSliceAnyFromMap(args map[string]any, keys ...string) []int {
for _, key := range keys {
if args == nil {
continue
}
raw, exists := args[key]
if !exists {
continue
}
values := parseAnyToIntSlice(raw)
if len(values) > 0 {
return values
}
}
return nil
}
func readStringAnyFromMap(args map[string]any, keys ...string) string {
for _, key := range keys {
if args == nil {
continue
}
raw, exists := args[key]
if !exists {
continue
}
if text, ok := raw.(string); ok {
return text
}
}
return ""
}
func parseAnyToInt(value any) (int, bool) {
switch v := value.(type) {
case int:
return v, true
case int8:
return int(v), true
case int16:
return int(v), true
case int32:
return int(v), true
case int64:
return int(v), true
case float32:
return int(v), true
case float64:
return int(v), true
case json.Number:
if iv, err := v.Int64(); err == nil {
return int(iv), true
}
if fv, err := v.Float64(); err == nil {
return int(fv), true
}
case string:
text := strings.TrimSpace(v)
if text == "" {
return 0, false
}
iv, err := strconv.Atoi(text)
if err == nil {
return iv, true
}
}
return 0, false
}
func parseAnyToIntSlice(value any) []int {
switch values := value.(type) {
case []int:
result := make([]int, 0, len(values))
for _, value := range values {
result = append(result, value)
}
return result
case []any:
result := make([]int, 0, len(values))
for _, item := range values {
iv, ok := parseAnyToInt(item)
if !ok {
continue
}
result = append(result, iv)
}
return result
default:
return nil
}
}
func parseAnyToStringSlice(value any) []string {
switch values := value.(type) {
case []string:
result := make([]string, 0, len(values))
for _, item := range values {
text := strings.TrimSpace(item)
if text == "" {
continue
}
result = append(result, text)
}
return result
case []any:
result := make([]string, 0, len(values))
for _, item := range values {
text := strings.TrimSpace(fmt.Sprintf("%v", item))
if text == "" || text == "<nil>" {
continue
}
result = append(result, text)
}
return result
default:
return nil
}
}
func truncateText(text string, maxLen int) string {
text = strings.TrimSpace(text)
if len(text) <= maxLen {
return text
}
if maxLen <= 3 {
return text[:maxLen]
}
return text[:maxLen-3] + "..."
}

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@@ -0,0 +1,157 @@
package newagentexecute
import (
"fmt"
"strings"
"time"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
newagentstream "github.com/LoveLosita/smartflow/backend/newAgent/stream"
"github.com/cloudwego/eino/schema"
)
const (
planCurrentStepKey = "current_step"
planCurrentStepTitle = "当前步骤"
)
func prepareExecuteNodeInput(input ExecuteNodeInput) (*newagentmodel.AgentRuntimeState, *newagentmodel.ConversationContext, *newagentstream.ChunkEmitter, error) {
if input.RuntimeState == nil {
return nil, nil, nil, fmt.Errorf("execute node: runtime state 不能为空")
}
if input.Client == nil {
return nil, nil, nil, fmt.Errorf("execute node: execute client 未注入")
}
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
}
func syncExecutePinnedContext(
conversationContext *newagentmodel.ConversationContext,
flowState *newagentmodel.CommonState,
) {
if conversationContext == nil || flowState == nil {
return
}
execContent := buildExecuteContextPinnedMarkdown(flowState)
if strings.TrimSpace(execContent) != "" {
conversationContext.UpsertPinnedBlock(newagentmodel.ContextBlock{
Key: executePinnedKey,
Title: "执行上下文",
Content: execContent,
})
}
if !flowState.HasPlan() {
conversationContext.RemovePinnedBlock(planCurrentStepKey)
return
}
step, ok := flowState.CurrentPlanStep()
if !ok {
conversationContext.RemovePinnedBlock(planCurrentStepKey)
return
}
current, total := flowState.PlanProgress()
title := strings.TrimSpace(planCurrentStepTitle)
if title == "" {
title = "当前步骤"
}
conversationContext.UpsertPinnedBlock(newagentmodel.ContextBlock{
Key: planCurrentStepKey,
Title: title,
Content: buildCurrentPlanStepPinnedMarkdown(step, current, total),
})
}
func appendExecuteStepAdvancedMarker(conversationContext *newagentmodel.ConversationContext) {
if conversationContext == nil {
return
}
history := conversationContext.HistorySnapshot()
if len(history) > 0 {
last := history[len(history)-1]
if last != nil && last.Extra != nil {
if kind, ok := last.Extra[executeHistoryKindKey].(string); ok && strings.TrimSpace(kind) == executeHistoryKindStepAdvanced {
return
}
}
}
conversationContext.AppendHistory(&schema.Message{
Role: schema.Assistant,
Content: "",
Extra: map[string]any{
executeHistoryKindKey: executeHistoryKindStepAdvanced,
},
})
}
func buildExecuteContextPinnedMarkdown(flowState *newagentmodel.CommonState) string {
if flowState == nil {
return ""
}
lines := make([]string, 0, 8)
if flowState.HasPlan() {
lines = append(lines, "执行模式:计划执行(按步骤推进)")
current, total := flowState.PlanProgress()
lines = append(lines, fmt.Sprintf("计划进度:第 %d/%d 步", current, total))
if step, ok := flowState.CurrentPlanStep(); ok {
lines = append(lines, "当前步骤:"+compactExecutePinnedText(step.Content))
doneWhen := compactExecutePinnedText(step.DoneWhen)
if doneWhen != "" {
lines = append(lines, "完成判定(done_when)"+doneWhen)
}
lines = append(lines, "动作纪律:未满足 done_when 禁止 next_plan满足后优先 next_plan。")
} else {
lines = append(lines, "当前步骤:不可读(可能已执行完成)")
}
} else {
lines = append(lines, "执行模式:自由执行(无预定义步骤)")
}
if flowState.MaxRounds > 0 {
lines = append(lines, fmt.Sprintf("轮次预算:%d/%d", flowState.RoundUsed, flowState.MaxRounds))
}
return strings.TrimSpace(strings.Join(lines, "\n"))
}
func buildCurrentPlanStepPinnedMarkdown(step newagentmodel.PlanStep, current, total int) string {
lines := make([]string, 0, 4)
lines = append(lines, fmt.Sprintf("步骤进度:第 %d/%d 步", current, total))
content := compactExecutePinnedText(step.Content)
if content == "" {
content = "(空)"
}
lines = append(lines, "步骤内容:"+content)
doneWhen := compactExecutePinnedText(step.DoneWhen)
if doneWhen != "" {
lines = append(lines, "完成判定:"+doneWhen)
}
return strings.TrimSpace(strings.Join(lines, "\n"))
}
func compactExecutePinnedText(text string) string {
text = strings.TrimSpace(text)
if text == "" {
return ""
}
text = strings.ReplaceAll(text, "\r\n", "\n")
text = strings.ReplaceAll(text, "\n", "")
return strings.TrimSpace(text)
}

View File

@@ -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,
)
}

View File

@@ -0,0 +1,332 @@
package newagentexecute
import (
"encoding/json"
"fmt"
"strings"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
newagenttools "github.com/LoveLosita/smartflow/backend/newAgent/tools"
)
func shouldForceFeasibilityNegotiation(
flowState *newagentmodel.CommonState,
registry *newagenttools.ToolRegistry,
toolName string,
) bool {
if flowState == nil || registry == nil {
return false
}
if !flowState.HealthCheckDone || flowState.HealthIsFeasible {
return false
}
if !registry.IsWriteTool(toolName) || !registry.RequiresScheduleState(toolName) {
return false
}
return true
}
func buildInfeasibleNegotiationQuestion(flowState *newagentmodel.CommonState) string {
capacityGap := 0
reasonCode := "capacity_insufficient"
if flowState != nil {
capacityGap = flowState.HealthCapacityGap
if strings.TrimSpace(flowState.HealthReasonCode) != "" {
reasonCode = strings.TrimSpace(flowState.HealthReasonCode)
}
}
return fmt.Sprintf(
"当前计划不可行analyze_health 判断当前约束不可行capacity_gap=%dreason=%s。在继续写操作前请先与用户协商扩展时间窗、放宽约束、缩减范围或预算或接受风险收口。",
capacityGap,
reasonCode,
)
}
func buildInfeasibleBlockedResult(flowState *newagentmodel.CommonState) string {
capacityGap := 0
reasonCode := "capacity_insufficient"
if flowState != nil {
capacityGap = flowState.HealthCapacityGap
if strings.TrimSpace(flowState.HealthReasonCode) != "" {
reasonCode = strings.TrimSpace(flowState.HealthReasonCode)
}
}
return fmt.Sprintf(
"已阻断本次写操作analyze_health 判定当前约束不可行capacity_gap=%dreason=%s。请先与用户协商扩展时间窗 / 放宽约束 / 缩减范围或预算 / 接受风险收口。",
capacityGap,
reasonCode,
)
}
type contextToolsResultEnvelope struct {
Tool string `json:"tool"`
Success bool `json:"success"`
Domain string `json:"domain,omitempty"`
Packs []string `json:"packs,omitempty"`
Mode string `json:"mode,omitempty"`
All bool `json:"all,omitempty"`
}
type analyzeHealthResultEnvelope struct {
Tool string `json:"tool"`
Success bool `json:"success"`
Feasibility *analyzeHealthFeasibilityBrief `json:"feasibility,omitempty"`
Decision *analyzeHealthDecisionBrief `json:"decision,omitempty"`
}
type analyzeHealthFeasibilityBrief struct {
IsFeasible bool `json:"is_feasible"`
CapacityGap int `json:"capacity_gap"`
ReasonCode string `json:"reason_code"`
}
type analyzeHealthDecisionBrief struct {
ShouldContinueOptimize bool `json:"should_continue_optimize"`
PrimaryProblem string `json:"primary_problem,omitempty"`
RecommendedOperation string `json:"recommended_operation,omitempty"`
IsForcedImperfection bool `json:"is_forced_imperfection"`
ImprovementSignal string `json:"improvement_signal,omitempty"`
}
type upsertTaskClassResultEnvelope struct {
Tool string `json:"tool"`
Success bool `json:"success"`
Validation *upsertTaskClassValidationPart `json:"validation,omitempty"`
Error string `json:"error,omitempty"`
ErrorCode string `json:"error_code,omitempty"`
}
type upsertTaskClassValidationPart struct {
OK bool `json:"ok"`
Issues []string `json:"issues"`
}
func updateActiveToolDomainSnapshot(flowState *newagentmodel.CommonState, toolName string, result string) {
if flowState == nil || !newagenttools.IsContextManagementTool(toolName) {
return
}
var envelope contextToolsResultEnvelope
if err := json.Unmarshal([]byte(result), &envelope); err != nil {
return
}
if !envelope.Success {
return
}
switch strings.TrimSpace(toolName) {
case newagenttools.ToolNameContextToolsAdd:
domain := newagenttools.NormalizeToolDomain(envelope.Domain)
if domain == "" {
return
}
nextPacks := newagenttools.ResolveEffectiveToolPacks(domain, envelope.Packs)
mode := strings.ToLower(strings.TrimSpace(envelope.Mode))
if mode == "merge" && newagenttools.NormalizeToolDomain(flowState.ActiveToolDomain) == domain {
merged := make([]string, 0, len(flowState.ActiveToolPacks)+len(nextPacks))
seen := make(map[string]struct{}, len(flowState.ActiveToolPacks)+len(nextPacks))
current := newagenttools.ResolveEffectiveToolPacks(domain, flowState.ActiveToolPacks)
for _, pack := range current {
if _, exists := seen[pack]; exists {
continue
}
seen[pack] = struct{}{}
merged = append(merged, pack)
}
for _, pack := range nextPacks {
if _, exists := seen[pack]; exists {
continue
}
seen[pack] = struct{}{}
merged = append(merged, pack)
}
nextPacks = merged
}
flowState.ActiveToolDomain = domain
flowState.ActiveToolPacks = nextPacks
case newagenttools.ToolNameContextToolsRemove:
if envelope.All {
flowState.ActiveToolDomain = ""
flowState.ActiveToolPacks = nil
return
}
domain := newagenttools.NormalizeToolDomain(envelope.Domain)
if domain == "" {
return
}
currentDomain := newagenttools.NormalizeToolDomain(flowState.ActiveToolDomain)
if currentDomain != domain {
return
}
removedPacks := newagenttools.NormalizeToolPacks(domain, envelope.Packs)
if len(removedPacks) == 0 {
flowState.ActiveToolDomain = ""
flowState.ActiveToolPacks = nil
return
}
currentEffective := newagenttools.ResolveEffectiveToolPacks(domain, flowState.ActiveToolPacks)
if len(currentEffective) == 0 {
flowState.ActiveToolDomain = ""
flowState.ActiveToolPacks = nil
return
}
removedSet := make(map[string]struct{}, len(removedPacks))
for _, pack := range removedPacks {
removedSet[pack] = struct{}{}
}
remaining := make([]string, 0, len(currentEffective))
for _, pack := range currentEffective {
if _, shouldRemove := removedSet[pack]; shouldRemove {
continue
}
remaining = append(remaining, pack)
}
if len(remaining) == 0 {
flowState.ActiveToolDomain = ""
flowState.ActiveToolPacks = nil
return
}
flowState.ActiveToolPacks = remaining
}
}
func updateHealthFeasibilitySnapshot(flowState *newagentmodel.CommonState, toolName string, result string) {
if flowState == nil || !strings.EqualFold(strings.TrimSpace(toolName), toolAnalyzeHealth) {
return
}
flowState.HealthCheckDone = false
flowState.HealthIsFeasible = true
flowState.HealthCapacityGap = 0
flowState.HealthReasonCode = ""
var envelope analyzeHealthResultEnvelope
if err := json.Unmarshal([]byte(result), &envelope); err != nil {
return
}
if !envelope.Success || envelope.Feasibility == nil {
return
}
flowState.HealthCheckDone = true
flowState.HealthIsFeasible = envelope.Feasibility.IsFeasible
flowState.HealthCapacityGap = envelope.Feasibility.CapacityGap
flowState.HealthReasonCode = strings.TrimSpace(envelope.Feasibility.ReasonCode)
}
func updateTaskClassUpsertSnapshot(flowState *newagentmodel.CommonState, toolName string, result string) {
if flowState == nil || !strings.EqualFold(strings.TrimSpace(toolName), "upsert_task_class") {
return
}
flowState.TaskClassUpsertLastTried = true
flowState.TaskClassUpsertLastSuccess = false
flowState.TaskClassUpsertLastIssues = nil
var envelope upsertTaskClassResultEnvelope
if err := json.Unmarshal([]byte(result), &envelope); err != nil {
flowState.TaskClassUpsertConsecutiveFailures++
return
}
success := envelope.Success
issues := make([]string, 0)
if envelope.Validation != nil {
issues = append(issues, parseAnyToStringSlice(any(envelope.Validation.Issues))...)
if !envelope.Validation.OK {
success = false
}
}
if !success && strings.TrimSpace(envelope.Error) != "" && len(issues) == 0 {
issues = append(issues, strings.TrimSpace(envelope.Error))
}
issues = uniqueNonEmptyStrings(issues)
flowState.TaskClassUpsertLastSuccess = success
flowState.TaskClassUpsertLastIssues = issues
if success {
flowState.TaskClassUpsertConsecutiveFailures = 0
return
}
flowState.TaskClassUpsertConsecutiveFailures++
}
func uniqueNonEmptyStrings(values []string) []string {
if len(values) == 0 {
return nil
}
seen := make(map[string]struct{}, len(values))
result := make([]string, 0, len(values))
for _, value := range values {
text := strings.TrimSpace(value)
if text == "" {
continue
}
if _, exists := seen[text]; exists {
continue
}
seen[text] = struct{}{}
result = append(result, text)
}
return result
}
func updateHealthSnapshotV2(flowState *newagentmodel.CommonState, toolName string, result string) {
if flowState == nil || !strings.EqualFold(strings.TrimSpace(toolName), toolAnalyzeHealth) {
return
}
prevSignal := strings.TrimSpace(flowState.HealthImprovementSignal)
flowState.HealthCheckDone = false
flowState.HealthIsFeasible = true
flowState.HealthCapacityGap = 0
flowState.HealthReasonCode = ""
flowState.HealthShouldContinueOptimize = false
flowState.HealthTightnessLevel = ""
flowState.HealthPrimaryProblem = ""
flowState.HealthRecommendedOperation = ""
flowState.HealthIsForcedImperfection = false
flowState.HealthImprovementSignal = ""
var envelope struct {
Success bool `json:"success"`
Feasibility *analyzeHealthFeasibilityBrief `json:"feasibility,omitempty"`
Metrics struct {
Tightness *struct {
TightnessLevel string `json:"tightness_level"`
} `json:"tightness,omitempty"`
} `json:"metrics"`
Decision *analyzeHealthDecisionBrief `json:"decision,omitempty"`
}
if err := json.Unmarshal([]byte(result), &envelope); err != nil {
flowState.HealthStagnationCount = 0
return
}
if !envelope.Success || envelope.Feasibility == nil {
flowState.HealthStagnationCount = 0
return
}
flowState.HealthCheckDone = true
flowState.HealthIsFeasible = envelope.Feasibility.IsFeasible
flowState.HealthCapacityGap = envelope.Feasibility.CapacityGap
flowState.HealthReasonCode = strings.TrimSpace(envelope.Feasibility.ReasonCode)
if envelope.Metrics.Tightness != nil {
flowState.HealthTightnessLevel = strings.TrimSpace(envelope.Metrics.Tightness.TightnessLevel)
}
if envelope.Decision != nil {
flowState.HealthShouldContinueOptimize = envelope.Decision.ShouldContinueOptimize
flowState.HealthPrimaryProblem = strings.TrimSpace(envelope.Decision.PrimaryProblem)
flowState.HealthRecommendedOperation = strings.TrimSpace(envelope.Decision.RecommendedOperation)
flowState.HealthIsForcedImperfection = envelope.Decision.IsForcedImperfection
flowState.HealthImprovementSignal = strings.TrimSpace(envelope.Decision.ImprovementSignal)
}
if signal := strings.TrimSpace(flowState.HealthImprovementSignal); signal != "" && prevSignal != "" && signal == prevSignal {
flowState.HealthStagnationCount++
return
}
flowState.HealthStagnationCount = 0
}

View File

@@ -0,0 +1,436 @@
package newagentexecute
import (
"context"
"encoding/json"
"fmt"
newagentshared "github.com/LoveLosita/smartflow/backend/newAgent/shared"
"log"
"regexp"
"strings"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
newagentstream "github.com/LoveLosita/smartflow/backend/newAgent/stream"
newagenttools "github.com/LoveLosita/smartflow/backend/newAgent/tools"
"github.com/LoveLosita/smartflow/backend/newAgent/tools/schedule"
"github.com/cloudwego/eino/schema"
"github.com/google/uuid"
)
func appendToolCallResultHistory(
conversationContext *newagentmodel.ConversationContext,
toolName string,
args map[string]any,
result string,
) {
if conversationContext == nil {
return
}
argsJSON := "{}"
if args != nil {
if raw, err := json.Marshal(args); err == nil {
argsJSON = string(raw)
}
}
toolCallID := uuid.NewString()
conversationContext.AppendHistory(&schema.Message{
Role: schema.Assistant,
Content: "",
ToolCalls: []schema.ToolCall{
{
ID: toolCallID,
Type: "function",
Function: schema.FunctionCall{
Name: toolName,
Arguments: argsJSON,
},
},
},
})
conversationContext.AppendHistory(&schema.Message{
Role: schema.Tool,
Content: result,
ToolCallID: toolCallID,
ToolName: toolName,
})
}
func executeToolCall(
ctx context.Context,
flowState *newagentmodel.CommonState,
conversationContext *newagentmodel.ConversationContext,
toolCall *newagentmodel.ToolCallIntent,
emitter *newagentstream.ChunkEmitter,
registry *newagenttools.ToolRegistry,
scheduleState *schedule.ScheduleState,
writePreview newagentmodel.WriteSchedulePreviewFunc,
) error {
if toolCall == nil {
return nil
}
toolName := strings.TrimSpace(toolCall.Name)
if toolName == "" {
return fmt.Errorf("工具调用缺少工具名称")
}
if err := emitter.EmitToolCallStart(
executeStatusBlockID,
executeStageName,
toolName,
buildToolCallStartSummary(toolName, toolCall.Arguments),
buildToolArgumentsPreviewCN(toolCall.Arguments),
false,
); err != nil {
return fmt.Errorf("工具调用开始事件发送失败: %w", err)
}
if registry == nil {
return fmt.Errorf("工具注册表未注入")
}
if scheduleState == nil && registry.RequiresScheduleState(toolName) {
return fmt.Errorf("日程状态未加载,无法执行工具 %q", toolName)
}
if registry.IsToolTemporarilyDisabled(toolName) {
flowState.ConsecutiveCorrections++
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return fmt.Errorf("连续 %d 次调用临时禁用工具,终止执行: %s",
flowState.ConsecutiveCorrections, toolName)
}
blockedResult := buildTemporarilyDisabledToolResult(toolName)
_ = emitter.EmitToolCallResult(
executeStatusBlockID,
executeStageName,
toolName,
"blocked",
blockedResult,
buildToolArgumentsPreviewCN(toolCall.Arguments),
false,
)
appendToolCallResultHistory(conversationContext, toolName, toolCall.Arguments, blockedResult)
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
"",
fmt.Sprintf("工具 %q 当前暂时禁用。", toolName),
"请改用 move/swap/batch_move/unplace 等排程微调工具继续推进。",
)
return nil
}
if !registry.HasTool(toolName) {
flowState.ConsecutiveCorrections++
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return fmt.Errorf("连续 %d 次调用未知工具,终止执行: %s可用工具%s。",
flowState.ConsecutiveCorrections, toolName, strings.Join(registry.ToolNames(), "、"))
}
log.Printf("[WARN] execute 工具名不合法 chat=%s round=%d tool=%s consecutive=%d/%d available=%v",
flowState.ConversationID, flowState.RoundUsed, toolName,
flowState.ConsecutiveCorrections, maxConsecutiveCorrections, registry.ToolNames())
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
"",
fmt.Sprintf("你调用的工具 %q 不存在。", toolName),
fmt.Sprintf("可用工具:%s。请检查拼写后重试。", strings.Join(registry.ToolNames(), "、")),
)
return nil
}
if !isToolVisibleForCurrentExecuteMode(flowState, registry, toolName) {
flowState.ConsecutiveCorrections++
if flowState.ConsecutiveCorrections >= maxConsecutiveCorrections {
return fmt.Errorf("连续 %d 次调用未激活工具,终止执行: %sactive_domain=%q active_packs=%v",
flowState.ConsecutiveCorrections,
toolName,
flowState.ActiveToolDomain,
newagenttools.ResolveEffectiveToolPacks(flowState.ActiveToolDomain, flowState.ActiveToolPacks))
}
addHint := `请先调用 context_tools_add 激活目标工具域后再继续。`
if flowState != nil && flowState.ActiveOptimizeOnly {
addHint = `当前处于“粗排后主动优化专用模式”,只允许使用 analyze_health、move、swap不要再尝试 query_target_tasks / query_available_slots 等全窗搜索工具。`
} else if domain, pack, ok := newagenttools.ResolveToolDomainPack(toolName); ok {
if newagenttools.IsFixedToolPack(domain, pack) {
addHint = fmt.Sprintf(`请先调用 context_tools_add参数 domain="%s"。`, domain)
} else {
addHint = fmt.Sprintf(`请先调用 context_tools_add参数 domain="%s", packs=["%s"]。`, domain, pack)
}
}
newagentshared.AppendLLMCorrectionWithHint(
conversationContext,
"",
fmt.Sprintf("你调用的工具 %q 当前不在已激活工具域内。", toolName),
addHint,
)
return nil
}
if shouldForceFeasibilityNegotiation(flowState, registry, toolName) {
blockedResult := buildInfeasibleBlockedResult(flowState)
_ = emitter.EmitToolCallResult(
executeStatusBlockID,
executeStageName,
toolName,
"blocked",
blockedResult,
buildToolArgumentsPreviewCN(toolCall.Arguments),
false,
)
appendToolCallResultHistory(conversationContext, toolName, toolCall.Arguments, blockedResult)
return nil
}
beforeDigest := summarizeScheduleStateForDebug(scheduleState)
if !registry.RequiresScheduleState(toolName) {
if toolCall.Arguments == nil {
toolCall.Arguments = make(map[string]any)
}
toolCall.Arguments["_user_id"] = flowState.UserID
}
result := registry.Execute(scheduleState, toolName, toolCall.Arguments)
updateHealthSnapshotV2(flowState, toolName, result)
updateTaskClassUpsertSnapshot(flowState, toolName, result)
updateActiveToolDomainSnapshot(flowState, toolName, result)
afterDigest := summarizeScheduleStateForDebug(scheduleState)
log.Printf(
"[DEBUG] execute tool chat=%s round=%d tool=%s args=%s before=%s after=%s result_preview=%.200s",
flowState.ConversationID,
flowState.RoundUsed,
toolName,
marshalArgsForDebug(toolCall.Arguments),
beforeDigest,
afterDigest,
flattenForLog(result),
)
_ = emitter.EmitToolCallResult(
executeStatusBlockID,
executeStageName,
toolName,
resolveToolEventResultStatus(result),
buildToolEventResultSummary(result),
buildToolArgumentsPreviewCN(toolCall.Arguments),
false,
)
appendToolCallResultHistory(conversationContext, toolName, toolCall.Arguments, result)
if registry.IsScheduleMutationTool(toolName) {
flowState.HasScheduleWriteOps = true
flowState.HasScheduleChanges = true
}
tryWritePreviewAfterWriteTool(ctx, flowState, scheduleState, registry, toolName, writePreview)
return nil
}
func applyPendingContextHook(flowState *newagentmodel.CommonState) {
if flowState == nil || flowState.PendingContextHook == nil {
return
}
hook := flowState.PendingContextHook
domain := newagenttools.NormalizeToolDomain(hook.Domain)
if domain == "" {
flowState.PendingContextHook = nil
return
}
flowState.ActiveToolDomain = domain
flowState.ActiveToolPacks = newagenttools.ResolveEffectiveToolPacks(domain, hook.Packs)
flowState.PendingContextHook = nil
}
func isToolVisibleForCurrentExecuteMode(
flowState *newagentmodel.CommonState,
registry *newagenttools.ToolRegistry,
toolName string,
) bool {
if registry == nil {
return false
}
activeDomain := ""
var activePacks []string
if flowState != nil {
activeDomain = flowState.ActiveToolDomain
activePacks = flowState.ActiveToolPacks
}
if !registry.IsToolVisibleInDomain(activeDomain, activePacks, toolName) {
return false
}
if flowState != nil && flowState.ActiveOptimizeOnly && !newagenttools.IsToolAllowedInActiveOptimize(toolName) {
return false
}
return true
}
func buildTemporarilyDisabledToolResult(toolName string) string {
return fmt.Sprintf("工具 %q 当前暂时禁用。请改用 move/swap/batch_move/unplace 等排程微调工具。", strings.TrimSpace(toolName))
}
func executePendingTool(
ctx context.Context,
runtimeState *newagentmodel.AgentRuntimeState,
conversationContext *newagentmodel.ConversationContext,
registry *newagenttools.ToolRegistry,
scheduleState *schedule.ScheduleState,
originalState *schedule.ScheduleState,
writePreview newagentmodel.WriteSchedulePreviewFunc,
emitter *newagentstream.ChunkEmitter,
) error {
pending := runtimeState.PendingConfirmTool
if pending == nil {
return nil
}
var args map[string]any
if err := json.Unmarshal([]byte(pending.ArgsJSON), &args); err != nil {
return fmt.Errorf("解析待确认工具参数失败: %w", err)
}
if err := emitter.EmitToolCallStart(
executeStatusBlockID,
executeStageName,
pending.ToolName,
buildToolCallStartSummary(pending.ToolName, args),
buildToolArgumentsPreviewCN(args),
false,
); err != nil {
return fmt.Errorf("工具调用开始事件发送失败: %w", err)
}
if scheduleState == nil {
return fmt.Errorf("日程状态未加载,无法执行已确认的写工具 %s", pending.ToolName)
}
flowState := runtimeState.EnsureCommonState()
if registry.IsToolTemporarilyDisabled(pending.ToolName) {
blockedResult := buildTemporarilyDisabledToolResult(pending.ToolName)
_ = emitter.EmitToolCallResult(
executeStatusBlockID,
executeStageName,
pending.ToolName,
"blocked",
blockedResult,
buildToolArgumentsPreviewCN(args),
false,
)
appendToolCallResultHistory(conversationContext, pending.ToolName, args, blockedResult)
runtimeState.PendingConfirmTool = nil
return nil
}
if shouldForceFeasibilityNegotiation(flowState, registry, pending.ToolName) {
blockedResult := buildInfeasibleBlockedResult(flowState)
_ = emitter.EmitToolCallResult(
executeStatusBlockID,
executeStageName,
pending.ToolName,
"blocked",
blockedResult,
buildToolArgumentsPreviewCN(args),
false,
)
appendToolCallResultHistory(conversationContext, pending.ToolName, args, blockedResult)
runtimeState.PendingConfirmTool = nil
return nil
}
beforeDigest := summarizeScheduleStateForDebug(scheduleState)
if !registry.RequiresScheduleState(pending.ToolName) {
if args == nil {
args = make(map[string]any)
}
args["_user_id"] = flowState.UserID
}
result := registry.Execute(scheduleState, pending.ToolName, args)
updateHealthSnapshotV2(flowState, pending.ToolName, result)
updateTaskClassUpsertSnapshot(flowState, pending.ToolName, result)
updateActiveToolDomainSnapshot(flowState, pending.ToolName, result)
afterDigest := summarizeScheduleStateForDebug(scheduleState)
log.Printf(
"[DEBUG] execute pending tool chat=%s round=%d tool=%s args=%s before=%s after=%s result_preview=%.200s",
flowState.ConversationID,
flowState.RoundUsed,
pending.ToolName,
marshalArgsForDebug(args),
beforeDigest,
afterDigest,
flattenForLog(result),
)
_ = emitter.EmitToolCallResult(
executeStatusBlockID,
executeStageName,
pending.ToolName,
resolveToolEventResultStatus(result),
buildToolEventResultSummary(result),
buildToolArgumentsPreviewCN(args),
false,
)
appendToolCallResultHistory(conversationContext, pending.ToolName, args, result)
if registry.IsScheduleMutationTool(pending.ToolName) {
flowState.HasScheduleWriteOps = true
flowState.HasScheduleChanges = true
}
tryWritePreviewAfterWriteTool(ctx, flowState, scheduleState, registry, pending.ToolName, writePreview)
runtimeState.PendingConfirmTool = nil
return nil
}
func tryWritePreviewAfterWriteTool(
ctx context.Context,
flowState *newagentmodel.CommonState,
scheduleState *schedule.ScheduleState,
registry *newagenttools.ToolRegistry,
toolName string,
writePreview newagentmodel.WriteSchedulePreviewFunc,
) {
if flowState == nil || scheduleState == nil || registry == nil || writePreview == nil {
return
}
if !registry.IsScheduleMutationTool(toolName) {
return
}
if err := writePreview(ctx, scheduleState, flowState.UserID, flowState.ConversationID, flowState.TaskClassIDs); err != nil {
log.Printf(
"[WARN] execute realtime preview write failed chat=%s tool=%s err=%v",
flowState.ConversationID,
toolName,
err,
)
return
}
log.Printf(
"[DEBUG] execute realtime preview write success chat=%s tool=%s",
flowState.ConversationID,
toolName,
)
}
var listItemRe = regexp.MustCompile(`([^\n])([2-9][\.、]\s)`)
func normalizeSpeak(speak string) string {
speak = strings.TrimSpace(speak)
if speak == "" {
return speak
}
if !strings.Contains(speak, "\n") {
speak = listItemRe.ReplaceAllString(speak, "$1\n$2")
}
return speak + "\n"
}
func buildExecuteNormalizedSpeakTail(streamed, normalized string) string {
streamed = strings.ReplaceAll(streamed, "\r\n", "\n")
normalized = strings.ReplaceAll(normalized, "\r\n", "\n")
if streamed == "" || normalized == "" {
return ""
}
if !strings.HasPrefix(normalized, streamed) {
return ""
}
return normalized[len(streamed):]
}

View File

@@ -0,0 +1,420 @@
package newagentexecute
import (
"encoding/json"
"fmt"
"strconv"
"strings"
"github.com/LoveLosita/smartflow/backend/newAgent/tools/schedule"
)
func summarizeScheduleStateForDebug(state *schedule.ScheduleState) string {
if state == nil {
return "state=nil"
}
total := len(state.Tasks)
pendingNoSlot := 0
suggestedTotal := 0
existingTotal := 0
taskItemWithSlot := 0
eventWithSlot := 0
for i := range state.Tasks {
t := &state.Tasks[i]
hasSlot := len(t.Slots) > 0
switch {
case schedule.IsPendingTask(*t):
pendingNoSlot++
case schedule.IsSuggestedTask(*t):
suggestedTotal++
case schedule.IsExistingTask(*t):
existingTotal++
}
if hasSlot {
if t.Source == "task_item" {
taskItemWithSlot++
}
if t.Source == "event" {
eventWithSlot++
}
}
}
return fmt.Sprintf(
"tasks=%d pending=%d suggested=%d existing=%d task_item_with_slot=%d event_with_slot=%d",
total,
pendingNoSlot,
suggestedTotal,
existingTotal,
taskItemWithSlot,
eventWithSlot,
)
}
func marshalArgsForDebug(args map[string]any) string {
if len(args) == 0 {
return "{}"
}
raw, err := json.Marshal(args)
if err != nil {
return "<marshal_error>"
}
return string(raw)
}
func flattenForLog(text string) string {
text = strings.ReplaceAll(text, "\n", " ")
text = strings.ReplaceAll(text, "\r", " ")
return strings.TrimSpace(text)
}
func resolveToolEventResultStatus(result string) string {
normalized := strings.TrimSpace(result)
if normalized == "" {
return "done"
}
if strings.Contains(normalized, "失败") {
return "failed"
}
lower := strings.ToLower(normalized)
if strings.Contains(lower, "error") || strings.Contains(lower, "failed") {
return "failed"
}
return "done"
}
func buildToolEventResultSummary(result string) string {
flat := flattenForLog(result)
if flat == "" {
return "工具已执行完成。"
}
if summary, ok := tryExtractToolResultSummaryCN(flat); ok {
return summary
}
runes := []rune(flat)
if len(runes) <= 48 {
return flat
}
return string(runes[:48]) + "..."
}
func tryExtractToolResultSummaryCN(raw string) (string, bool) {
trimmed := strings.TrimSpace(raw)
if trimmed == "" {
return "", false
}
var payload map[string]any
if err := json.Unmarshal([]byte(trimmed), &payload); err != nil {
return "", false
}
toolRaw := strings.TrimSpace(readStringAnyFromMap(payload, "tool"))
toolName := resolveToolDisplayNameCN(toolRaw)
if strings.EqualFold(toolRaw, "upsert_task_class") {
if summary, ok := buildUpsertTaskClassSummaryCN(payload); ok {
return truncateToolSummaryCN(summary), true
}
}
if errText := strings.TrimSpace(readStringAnyFromMap(payload, "error", "err")); errText != "" {
return truncateToolSummaryCN(fmt.Sprintf("%s失败%s", toolName, errText)), true
}
if success, exists := payload["success"]; exists {
if ok, isBool := success.(bool); isBool && !ok {
reason := strings.TrimSpace(readStringAnyFromMap(payload, "reason", "message"))
if reason != "" {
return truncateToolSummaryCN(fmt.Sprintf("%s失败%s", toolName, reason)), true
}
return truncateToolSummaryCN(fmt.Sprintf("%s执行失败。", toolName)), true
}
}
if message := strings.TrimSpace(readStringAnyFromMap(payload, "result", "message", "reason")); message != "" {
return truncateToolSummaryCN(message), true
}
pending, hasPending := readIntAnyFromMap(payload, "pending_count")
completed, hasCompleted := readIntAnyFromMap(payload, "completed_count")
if hasPending || hasCompleted {
skipped, _ := readIntAnyFromMap(payload, "skipped_count")
return fmt.Sprintf("队列状态:待处理 %d已完成 %d已跳过 %d。", pending, completed, skipped), true
}
if hasHead, exists := payload["has_head"]; exists {
if b, isBool := hasHead.(bool); isBool {
if b {
return "已获取当前队首任务。", true
}
return "当前队列没有可处理任务。", true
}
}
if _, ok := payload["slot_candidates"]; ok {
if total, exists := readIntAnyFromMap(payload, "total"); exists {
return fmt.Sprintf("共找到 %d 个可用时段。", total), true
}
}
if toolRaw != "" {
return fmt.Sprintf("已完成“%s”操作。", toolName), true
}
return "", false
}
func buildUpsertTaskClassSummaryCN(payload map[string]any) (string, bool) {
validationRaw, hasValidation := payload["validation"]
if !hasValidation {
return "", false
}
validation, ok := validationRaw.(map[string]any)
if !ok {
return "", false
}
validationOK, hasValidationOK := validation["ok"].(bool)
issues := parseAnyToStringSlice(validation["issues"])
if hasValidationOK && !validationOK {
if len(issues) > 0 {
return fmt.Sprintf("任务类写入未通过校验:%s。", strings.Join(issues, "")), true
}
return "任务类写入未通过校验,请先补齐缺失字段。", true
}
success, hasSuccess := payload["success"].(bool)
if hasSuccess && success {
if taskClassID, ok := readIntAnyFromMap(payload, "task_class_id"); ok && taskClassID > 0 {
return fmt.Sprintf("任务类写入成功task_class_id=%d。", taskClassID), true
}
return "任务类写入成功。", true
}
return "", false
}
func truncateToolSummaryCN(text string) string {
runes := []rune(strings.TrimSpace(text))
if len(runes) <= 48 {
return string(runes)
}
return string(runes[:48]) + "..."
}
func buildToolCallStartSummary(toolName string, args map[string]any) string {
displayName := resolveToolDisplayNameCN(toolName)
argSummary := buildToolArgumentsPreviewCN(args)
if argSummary == "" {
return fmt.Sprintf("已调用工具:%s。", displayName)
}
return fmt.Sprintf("已调用工具:%s%s。", displayName, argSummary)
}
func buildToolArgumentsPreviewCN(args map[string]any) string {
if len(args) <= 0 {
return ""
}
type argPair struct {
Key string
Label string
}
orderedPairs := []argPair{
{Key: "title", Label: "任务标题"},
{Key: "task_name", Label: "任务名称"},
{Key: "deadline_at", Label: "截止时间"},
{Key: "new_day", Label: "目标日期"},
{Key: "new_slot_start", Label: "目标开始时段"},
{Key: "day", Label: "日期"},
{Key: "day_start", Label: "开始日"},
{Key: "day_end", Label: "结束日"},
{Key: "day_scope", Label: "日期范围"},
{Key: "day_of_week", Label: "星期"},
{Key: "week", Label: "周"},
{Key: "week_from", Label: "起始周"},
{Key: "week_to", Label: "结束周"},
{Key: "week_filter", Label: "周筛选"},
{Key: "slot_start", Label: "开始时段"},
{Key: "slot_end", Label: "结束时段"},
{Key: "slot_type", Label: "时段类型"},
{Key: "slot_types", Label: "时段类型"},
{Key: "task_id", Label: "任务 ID"},
{Key: "task_ids", Label: "任务 ID 列表"},
{Key: "task_item_id", Label: "任务项 ID"},
{Key: "task_item_ids", Label: "任务项 ID 列表"},
{Key: "query", Label: "查询词"},
{Key: "keyword", Label: "关键词"},
{Key: "domain", Label: "工具域"},
{Key: "mode", Label: "激活模式"},
{Key: "all", Label: "移除全部"},
{Key: "top_k", Label: "返回数量"},
{Key: "url", Label: "链接"},
{Key: "reason", Label: "原因"},
{Key: "limit", Label: "数量"},
}
items := make([]string, 0, 2)
for _, pair := range orderedPairs {
rawValue, exists := args[pair.Key]
if !exists {
continue
}
valueText := formatToolArgValueByKeyCN(pair.Key, rawValue)
if valueText == "" {
continue
}
items = append(items, fmt.Sprintf("%s%s", pair.Label, valueText))
if len(items) >= 2 {
break
}
}
return strings.Join(items, "")
}
func resolveToolDisplayNameCN(toolName string) string {
name := strings.TrimSpace(toolName)
if name == "" {
return "未知工具"
}
displayNameMap := map[string]string{
"get_overview": "查看总览",
"query_range": "查询时间范围",
"queue_status": "查看任务队列",
"queue_pop_head": "获取队首任务",
"queue_apply_head_move": "应用队首任务时段",
"queue_skip_head": "跳过队首任务",
"query_target_tasks": "查询目标任务",
"query_available_slots": "查询可用时段",
"get_task_info": "查看任务信息",
"analyze_health": "综合体检",
"analyze_rhythm": "分析学习节律",
"web_search": "网页搜索",
"web_fetch": "网页抓取",
"move": "移动任务",
"place": "放置任务",
"swap": "交换任务",
"batch_move": "批量移动任务",
"unplace": "移出任务安排",
"upsert_task_class": "写入任务类",
"context_tools_add": "激活工具域",
"context_tools_remove": "移除工具域",
}
if label, ok := displayNameMap[name]; ok {
return label
}
return name
}
func formatToolArgValueByKeyCN(key string, value any) string {
switch key {
case "day_scope":
scope := strings.ToLower(strings.TrimSpace(formatToolArgValueCN(value)))
switch scope {
case "workday":
return "工作日"
case "weekend":
return "周末"
case "all":
return "全部日期"
default:
return scope
}
case "day_of_week":
weekdays := parseAnyToIntSlice(value)
if len(weekdays) <= 0 {
return formatToolArgValueCN(value)
}
labels := make([]string, 0, len(weekdays))
for _, day := range weekdays {
labels = append(labels, fmt.Sprintf("周%d", day))
if len(labels) >= 4 {
break
}
}
return strings.Join(labels, "、")
case "task_ids", "task_item_ids", "week_filter":
values := parseAnyToIntSlice(value)
if len(values) <= 0 {
return formatToolArgValueCN(value)
}
items := make([]string, 0, len(values))
for _, current := range values {
items = append(items, strconv.Itoa(current))
if len(items) >= 4 {
break
}
}
return strings.Join(items, "、")
case "url":
return truncateToolSummaryCN(formatToolArgValueCN(value))
case "reason", "title", "task_name", "query", "keyword":
return truncateToolSummaryCN(formatToolArgValueCN(value))
default:
return formatToolArgValueCN(value)
}
}
func formatToolArgValueCN(value any) string {
switch v := value.(type) {
case string:
text := strings.TrimSpace(v)
if text == "" {
return ""
}
return text
case int:
return strconv.Itoa(v)
case int8:
return strconv.Itoa(int(v))
case int16:
return strconv.Itoa(int(v))
case int32:
return strconv.Itoa(int(v))
case int64:
return strconv.Itoa(int(v))
case float32:
return strings.TrimSpace(strconv.FormatFloat(float64(v), 'f', -1, 32))
case float64:
return strings.TrimSpace(strconv.FormatFloat(v, 'f', -1, 64))
case bool:
if v {
return "是"
}
return "否"
case []any:
values := make([]string, 0, len(v))
for _, item := range v {
text := formatToolArgValueCN(item)
if text == "" {
continue
}
values = append(values, text)
if len(values) >= 3 {
break
}
}
return strings.Join(values, "、")
default:
if value == nil {
return ""
}
text := strings.TrimSpace(fmt.Sprintf("%v", value))
if text == "" || text == "<nil>" || text == "map[]" {
return ""
}
return text
}
}

View File

@@ -0,0 +1,21 @@
package newagentnode
import (
"regexp"
"strings"
)
// listItemRe 匹配被粘连在一起的列表序号,用于正文归一化时自动补换行。
var listItemRe = regexp.MustCompile(`([^\n])([2-9][\.、]\s)`)
// normalizeSpeak 统一整理要展示给用户的正文。
func normalizeSpeak(speak string) string {
speak = strings.TrimSpace(speak)
if speak == "" {
return speak
}
if !strings.Contains(speak, "\n") {
speak = listItemRe.ReplaceAllString(speak, "$1\n$2")
}
return speak + "\n"
}

View File

@@ -0,0 +1,117 @@
package newagentshared
import (
"fmt"
"strings"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
"github.com/cloudwego/eino/schema"
)
const (
correctionHistoryKindKey = "newagent_history_kind"
correctionHistoryKindCorrectionUser = "llm_correction_prompt"
)
// AppendLLMCorrection 追加 LLM 修正提示到对话历史。
//
// 设计目的:
// 1. 当 LLM 输出不符合预期(如不支持的 action、格式错误等不应直接报错终止
// 2. 应该给 LLM 一个自我修正的机会,把错误反馈写回历史,让它重新生成;
// 3. 该函数封装了“追加 assistant 消息 + 追加纠正提示”的通用流程。
//
// 参数说明:
// - conversationContext: 对话上下文,用于追加历史消息;
// - llmOutput: LLM 的原始输出内容,会作为 assistant 消息追加;
// - validOptionsDesc: 合法选项的描述,用于构造纠正提示。
func AppendLLMCorrection(
conversationContext *newagentmodel.ConversationContext,
llmOutput string,
validOptionsDesc string,
) {
if conversationContext == nil {
return
}
assistantContent := strings.TrimSpace(llmOutput)
appendCorrectionAssistantIfNeeded(conversationContext, assistantContent)
correctionContent := fmt.Sprintf(
"你的输出不符合预期。%s 请重新分析当前状态,输出正确的内容。",
validOptionsDesc,
)
conversationContext.AppendHistory(&schema.Message{
Role: schema.User,
Content: correctionContent,
Extra: map[string]any{
correctionHistoryKindKey: correctionHistoryKindCorrectionUser,
},
})
}
// AppendLLMCorrectionWithHint 追加 LLM 修正提示(带自定义错误描述)。
//
// 相比 AppendLLMCorrection该函数允许调用方提供更详细的错误描述
// 适用于需要明确告知 LLM 具体哪里出错的场景。
func AppendLLMCorrectionWithHint(
conversationContext *newagentmodel.ConversationContext,
llmOutput string,
errorDesc string,
validOptionsDesc string,
) {
if conversationContext == nil {
return
}
assistantContent := strings.TrimSpace(llmOutput)
appendCorrectionAssistantIfNeeded(conversationContext, assistantContent)
correctionContent := fmt.Sprintf(
"%s %s 请重新分析当前状态,输出正确的内容。",
errorDesc,
validOptionsDesc,
)
conversationContext.AppendHistory(&schema.Message{
Role: schema.User,
Content: correctionContent,
Extra: map[string]any{
correctionHistoryKindKey: correctionHistoryKindCorrectionUser,
},
})
}
// appendCorrectionAssistantIfNeeded 在纠错回灌前做最小降噪。
//
// 1. 空文本直接跳过,避免写入“占位噪音”;
// 2. 若与“最近一条 assistant 文本”完全一致则跳过,避免同句反复回灌;
// 3. 仅负责“是否回灌”判定,不负责生成纠错 user 提示。
func appendCorrectionAssistantIfNeeded(
conversationContext *newagentmodel.ConversationContext,
assistantContent string,
) {
if conversationContext == nil {
return
}
assistantContent = strings.TrimSpace(assistantContent)
if assistantContent == "" {
return
}
history := conversationContext.HistorySnapshot()
for i := len(history) - 1; i >= 0; i-- {
msg := history[i]
if msg == nil || msg.Role != schema.Assistant {
continue
}
if strings.TrimSpace(msg.Content) == assistantContent {
return
}
// 只看最近一条 assistant避免误去重很久以前的正常重复表达。
break
}
conversationContext.AppendHistory(&schema.Message{
Role: schema.Assistant,
Content: assistantContent,
})
}

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package newagentshared
import (
"encoding/json"
"fmt"
"log"
"strings"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
"github.com/cloudwego/eino/schema"
)
// LogNodeLLMContext 将某个节点即将送入 LLM 的完整消息上下文按统一格式打印到日志。
//
// 步骤化说明:
// 1. 统一输出 stage / phase / chat / round方便按一次请求内的多次 LLM 调用串联排查;
// 2. 完整展开 messages不做截断保证问题复现时能直接对照 prompt 组装结果;
// 3. 该函数只负责调试日志,不参与任何业务判断,也不修改上下文内容。
func LogNodeLLMContext(
stage string,
phase string,
flowState *newagentmodel.CommonState,
messages []*schema.Message,
) {
chatID := ""
roundUsed := 0
if flowState != nil {
chatID = flowState.ConversationID
roundUsed = flowState.RoundUsed
}
log.Printf(
"[DEBUG] %s LLM context begin phase=%s chat=%s round=%d message_count=%d\n%s\n[DEBUG] %s LLM context end phase=%s chat=%s round=%d",
stage,
strings.TrimSpace(phase),
chatID,
roundUsed,
len(messages),
formatLLMMessagesForDebug(messages),
stage,
strings.TrimSpace(phase),
chatID,
roundUsed,
)
}
// formatLLMMessagesForDebug 将本轮送入 LLM 的完整消息上下文展开成可读多行日志。
//
// 说明:
// 1. 按消息索引逐条输出,便于和上游上下文构造步骤逐项对齐;
// 2. 完整输出 content / reasoning_content / tool_calls / extra不做截断
// 3. 仅用于调试打点,不参与业务决策。
func formatLLMMessagesForDebug(messages []*schema.Message) string {
if len(messages) == 0 {
return "(empty messages)"
}
var sb strings.Builder
for i, msg := range messages {
sb.WriteString(fmt.Sprintf("----- message[%d] -----\n", i))
if msg == nil {
sb.WriteString("role: <nil>\n\n")
continue
}
sb.WriteString(fmt.Sprintf("role: %s\n", msg.Role))
if strings.TrimSpace(msg.ToolCallID) != "" {
sb.WriteString(fmt.Sprintf("tool_call_id: %s\n", msg.ToolCallID))
}
if strings.TrimSpace(msg.ToolName) != "" {
sb.WriteString(fmt.Sprintf("tool_name: %s\n", msg.ToolName))
}
if len(msg.ToolCalls) > 0 {
sb.WriteString("tool_calls:\n")
for j, call := range msg.ToolCalls {
sb.WriteString(fmt.Sprintf(" - [%d] id=%s type=%s function=%s\n", j, call.ID, call.Type, call.Function.Name))
sb.WriteString(" arguments:\n")
sb.WriteString(indentMultilineForDebug(call.Function.Arguments, " "))
sb.WriteString("\n")
}
}
if strings.TrimSpace(msg.ReasoningContent) != "" {
sb.WriteString("reasoning_content:\n")
sb.WriteString(indentMultilineForDebug(msg.ReasoningContent, " "))
sb.WriteString("\n")
}
sb.WriteString("content:\n")
sb.WriteString(indentMultilineForDebug(msg.Content, " "))
sb.WriteString("\n")
if len(msg.Extra) > 0 {
sb.WriteString("extra:\n")
raw, err := json.MarshalIndent(msg.Extra, "", " ")
if err != nil {
sb.WriteString(indentMultilineForDebug("<marshal_error>", " "))
} else {
sb.WriteString(indentMultilineForDebug(string(raw), " "))
}
sb.WriteString("\n")
}
sb.WriteString("\n")
}
return sb.String()
}
// indentMultilineForDebug 为多行文本统一添加前缀缩进,避免日志折行后难以阅读。
func indentMultilineForDebug(text, prefix string) string {
if text == "" {
return prefix + "<empty>"
}
lines := strings.Split(text, "\n")
for i := range lines {
lines[i] = prefix + lines[i]
}
return strings.Join(lines, "\n")
}

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package newagentshared
import infrallm "github.com/LoveLosita/smartflow/backend/infra/llm"
func ResolveThinkingMode(enabled bool) infrallm.ThinkingMode {
if enabled {
return infrallm.ThinkingModeEnabled
}
return infrallm.ThinkingModeDisabled
}

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package newagentshared
import (
"context"
"encoding/json"
"fmt"
"log"
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"
"github.com/LoveLosita/smartflow/backend/pkg"
"github.com/cloudwego/eino/schema"
)
// UnifiedCompactInput 是统一压缩入口的参数。
//
// 设计说明:
// 1. 从各节点输入中提取压缩所需的公共字段,消除对具体节点实现的直接依赖;
// 2. 各节点Plan/Chat/Deliver/Execute构造此参数时只需填充自己已有的运行时能力
// 3. StageName 和 StatusBlockID 用于区分日志来源与 SSE 状态推送目标。
type UnifiedCompactInput struct {
// Client 用于调用 LLM 压缩 msg1/msg2。
Client *infrallm.Client
// CompactionStore 用于持久化压缩摘要和 token 统计,为 nil 时跳过持久化。
CompactionStore newagentmodel.CompactionStore
// FlowState 提供 userID / conversationID / roundUsed 等定位信息。
FlowState *newagentmodel.CommonState
// Emitter 用于推送压缩进度 SSE 事件。
Emitter *newagentstream.ChunkEmitter
// StageName 标识当前阶段,如 execute / plan / chat / deliver。
StageName string
// StatusBlockID 是 SSE 状态推送的 block ID各节点使用自己的 block ID。
StatusBlockID string
}
// CompactUnifiedMessagesIfNeeded 检查统一消息结构的 token 预算,
// 超限时对 msg1历史对话和 msg2阶段工作区执行 LLM 压缩。
//
// 消息布局约定(由统一消息构造器返回):
// [0] system - msg0: 系统规则 + 工具简表
// [1] assistant - msg1: 历史对话上下文
// [2] assistant - msg2: 阶段工作区Execute=ReAct Loop其余通常为“暂无”
// [3] system - msg3: 阶段状态 + 记忆 + 指令
//
// 压缩策略:
// 1. msg1 超过可用预算一半时触发 LLM 压缩(合并已有摘要 + 新内容);
// 2. msg1 压缩后仍超限,则对 msg2 也做 LLM 压缩;
// 3. 压缩结果持久化到 CompactionStore下一轮可复用摘要避免重复计算。
func CompactUnifiedMessagesIfNeeded(
ctx context.Context,
messages []*schema.Message,
input UnifiedCompactInput,
) []*schema.Message {
if input.FlowState == nil {
log.Printf("[COMPACT:%s] FlowState is nil, skip token stats refresh", input.StageName)
return messages
}
// 1. 非严格 4 段式时,退化成按角色汇总的统计,确保 context_token_stats 仍能刷新。
if len(messages) != 4 {
breakdown := estimateFallbackStageTokenBreakdown(messages)
log.Printf(
"[COMPACT:%s] fallback token stats refresh: total=%d budget=%d count=%d (msg0=%d msg1=%d msg2=%d msg3=%d)",
input.StageName, breakdown.Total, breakdown.Budget, len(messages),
breakdown.Msg0, breakdown.Msg1, breakdown.Msg2, breakdown.Msg3,
)
saveUnifiedTokenStats(ctx, input, breakdown)
return messages
}
// 2. 提取四条消息的文本内容,供预算检查与后续压缩使用。
msg0 := messages[0].Content
msg1 := messages[1].Content
msg2 := messages[2].Content
msg3 := messages[3].Content
// 3. 执行 token 预算检查,判断是否需要压缩历史对话或阶段工作区。
breakdown, overBudget, needCompactMsg1, needCompactMsg2 := pkg.CheckStageTokenBudget(msg0, msg1, msg2, msg3)
log.Printf(
"[COMPACT:%s] token budget check: total=%d budget=%d over=%v compactMsg1=%v compactMsg2=%v (msg0=%d msg1=%d msg2=%d msg3=%d)",
input.StageName, breakdown.Total, breakdown.Budget, overBudget, needCompactMsg1, needCompactMsg2,
breakdown.Msg0, breakdown.Msg1, breakdown.Msg2, breakdown.Msg3,
)
if !overBudget {
// 4. 未超限时仅记录 token 分布,不做压缩。
saveUnifiedTokenStats(ctx, input, breakdown)
return messages
}
// 5. 先压缩 msg1历史对话它通常是最主要的 token 消耗来源。
if needCompactMsg1 {
msg1 = compactUnifiedMsg1(ctx, input, msg1)
messages[1].Content = msg1
breakdown = pkg.EstimateStageMessagesTokens(msg0, msg1, msg2, msg3)
}
// 6. 若 msg1 压缩后仍超限,再压缩 msg2阶段工作区 / ReAct 记录)。
if needCompactMsg2 || breakdown.Total > pkg.StageTokenBudget {
msg2 = compactUnifiedMsg2(ctx, input, msg2)
messages[2].Content = msg2
breakdown = pkg.EstimateStageMessagesTokens(msg0, msg1, msg2, msg3)
}
// 7. 记录最终 token 分布,供后续调试与监控使用。
saveUnifiedTokenStats(ctx, input, breakdown)
log.Printf(
"[COMPACT:%s] after compaction: total=%d budget=%d (msg0=%d msg1=%d msg2=%d msg3=%d)",
input.StageName, breakdown.Total, breakdown.Budget,
breakdown.Msg0, breakdown.Msg1, breakdown.Msg2, breakdown.Msg3,
)
return messages
}
// estimateFallbackStageTokenBreakdown 在非统一 4 段式场景下按消息角色做近似统计。
//
// 步骤说明:
// 1. 先按消息类型汇总 token保证总量准确
// 2. 再把最后一个 user 消息尽量视作 msg3保留阶段指令语义
// 3. 其他历史内容归入 msg1 / msg2确保上下文统计不会因为结构不标准而断更。
func estimateFallbackStageTokenBreakdown(messages []*schema.Message) pkg.StageTokenBreakdown {
breakdown := pkg.StageTokenBreakdown{Budget: pkg.StageTokenBudget}
if len(messages) == 0 {
return breakdown
}
lastUserIndex := -1
for i := len(messages) - 1; i >= 0; i-- {
msg := messages[i]
if msg == nil {
continue
}
if msg.Role == schema.User {
lastUserIndex = i
break
}
}
for i, msg := range messages {
if msg == nil {
continue
}
tokens := pkg.EstimateMessageTokens(msg)
breakdown.Total += tokens
switch msg.Role {
case schema.System:
breakdown.Msg0 += tokens
case schema.User:
if i == lastUserIndex {
breakdown.Msg3 += tokens
} else {
breakdown.Msg1 += tokens
}
case schema.Tool:
breakdown.Msg2 += tokens
case schema.Assistant:
if len(msg.ToolCalls) > 0 {
breakdown.Msg2 += tokens
} else {
breakdown.Msg1 += tokens
}
default:
breakdown.Msg1 += tokens
}
}
return breakdown
}
// compactUnifiedMsg1 对 msg1历史对话执行 LLM 压缩。
//
// 步骤化说明:
// 1. CompactionStore 为 nil 时跳过(测试环境 / 骨架期);
// 2. 先加载该阶段已有的压缩摘要,与当前 msg1 合并后调 LLM 压缩;
// 3. 压缩失败时降级为原始文本,不中断主流程;
// 4. 压缩成功后持久化新摘要,供下一轮复用。
func compactUnifiedMsg1(
ctx context.Context,
input UnifiedCompactInput,
msg1 string,
) string {
if input.CompactionStore == nil {
log.Printf("[COMPACT:%s] CompactionStore is nil, skip msg1 compaction", input.StageName)
return msg1
}
existingSummary, _, err := input.CompactionStore.LoadStageCompaction(ctx, input.FlowState.UserID, input.FlowState.ConversationID, input.StageName)
if err != nil {
log.Printf("[COMPACT:%s] load existing compaction failed: %v, proceed without cache", input.StageName, err)
}
tokenBefore := pkg.EstimateTextTokens(msg1)
_ = input.Emitter.EmitStatus(
input.StatusBlockID, input.StageName, "context_compact_start",
fmt.Sprintf("正在压缩对话历史(%d tokens...", tokenBefore),
false,
)
newSummary, err := newagentprompt.CompactMsg1(ctx, input.Client, msg1, existingSummary)
if err != nil {
log.Printf("[COMPACT:%s] compact msg1 failed: %v", input.StageName, err)
_ = input.Emitter.EmitStatus(
input.StatusBlockID, input.StageName, "context_compact_done",
"对话历史压缩失败,使用原始文本",
false,
)
return msg1
}
tokenAfter := pkg.EstimateTextTokens(newSummary)
_ = input.Emitter.EmitStatus(
input.StatusBlockID, input.StageName, "context_compact_done",
fmt.Sprintf("对话历史已压缩:%d → %d tokens", tokenBefore, tokenAfter),
false,
)
if err := input.CompactionStore.SaveStageCompaction(ctx, input.FlowState.UserID, input.FlowState.ConversationID, input.StageName, newSummary, input.FlowState.RoundUsed); err != nil {
log.Printf("[COMPACT:%s] save compaction failed: %v", input.StageName, err)
}
return newSummary
}
// compactUnifiedMsg2 对 msg2阶段工作区执行 LLM 压缩。
//
// 步骤化说明:
// 1. 非 Execute 阶段的 msg2 通常内容较少,压缩即使收益有限也不应出错;
// 2. Execute 阶段的 msg2 包含 ReAct loop 记录,压缩可显著节省 token
// 3. 压缩失败时降级为原始文本,不中断主流程。
func compactUnifiedMsg2(
ctx context.Context,
input UnifiedCompactInput,
msg2 string,
) string {
tokenBefore := pkg.EstimateTextTokens(msg2)
_ = input.Emitter.EmitStatus(
input.StatusBlockID, input.StageName, "context_compact_start",
fmt.Sprintf("正在压缩执行记录(%d tokens...", tokenBefore),
false,
)
compressed, err := newagentprompt.CompactMsg2(ctx, input.Client, msg2)
if err != nil {
log.Printf("[COMPACT:%s] compact msg2 failed: %v", input.StageName, err)
_ = input.Emitter.EmitStatus(
input.StatusBlockID, input.StageName, "context_compact_done",
"执行记录压缩失败,使用原始文本",
false,
)
return msg2
}
tokenAfter := pkg.EstimateTextTokens(compressed)
_ = input.Emitter.EmitStatus(
input.StatusBlockID, input.StageName, "context_compact_done",
fmt.Sprintf("执行记录已压缩:%d → %d tokens", tokenBefore, tokenAfter),
false,
)
return compressed
}
// saveUnifiedTokenStats 持久化当前 token 分布到存储层。
//
// 步骤化说明:
// 1. CompactionStore 为 nil 时跳过(测试环境 / 骨架期);
// 2. 序列化失败只记日志,不中断主流程;
// 3. 写入失败只记日志,不中断主流程。
func saveUnifiedTokenStats(
ctx context.Context,
input UnifiedCompactInput,
breakdown pkg.StageTokenBreakdown,
) {
if input.CompactionStore == nil || input.FlowState == nil {
return
}
statsJSON, err := json.Marshal(breakdown)
if err != nil {
log.Printf("[COMPACT:%s] marshal token stats failed: %v", input.StageName, err)
return
}
if err := input.CompactionStore.SaveContextTokenStats(ctx, input.FlowState.UserID, input.FlowState.ConversationID, string(statsJSON)); err != nil {
log.Printf("[COMPACT:%s] save token stats failed: %v", input.StageName, err)
}
}

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package newagentshared
import (
"context"
"log"
"strings"
newagentmodel "github.com/LoveLosita/smartflow/backend/newAgent/model"
"github.com/cloudwego/eino/schema"
)
// PersistVisibleAssistantMessage 负责把“真正要展示给用户”的 assistant 文本交给 service 层持久化。
//
// 职责边界:
// 1. 只处理可见的 assistant 消息,不处理内部纠错提示、工具调用结果和纯状态文案;
// 2. 持久化失败只记日志,不反向中断节点主流程,避免“已经对外输出但后端补写失败”时把用户请求打断;
// 3. 具体的 Redis / MySQL / 乐观缓存写入由 service 回调统一完成。
func PersistVisibleAssistantMessage(
ctx context.Context,
persist newagentmodel.PersistVisibleMessageFunc,
state *newagentmodel.CommonState,
msg *schema.Message,
) {
if persist == nil || state == nil || msg == nil {
return
}
role := strings.TrimSpace(string(msg.Role))
content := strings.TrimSpace(msg.Content)
if role != string(schema.Assistant) || content == "" {
return
}
if err := persist(ctx, state, msg); err != nil {
log.Printf("[WARN] persist visible assistant message failed chat=%s phase=%s err=%v", state.ConversationID, state.Phase, err)
}
}

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# NewAgent 业务卡片前后端对接说明
## 1. 文档目标
本文用于约定 NewAgent 聊天时间线中的“业务结果卡片”协议,供前端先行实现卡片容器与渲染逻辑,后端后续按同一标准补齐事件发射。
本次只覆盖两类卡片:
1. 查询任务卡片
2. 任务记录卡片
其中“任务记录卡片”统一承载以下两个入口语义:
- 随口记
- 创建任务
这样做的原因是:两者最终落到前端展示时,表达的都是“系统中新增了一条任务/提醒”,如果硬拆成两套完全独立协议,会造成字段重复、渲染重复和样式分叉。
## 2. 适用范围
本说明只约定聊天时间线中的结构化卡片事件,不重做整套聊天 UI也不影响现有
- `assistant_text`
- `tool_call`
- `tool_result`
- `confirm_request`
- `schedule_completed`
现阶段建议复用“像 schedule_completed 一样通过 extra 事件驱动前端卡片”的模式,但不复用 `schedule_completed` 这个具体 kind。
## 3. 总体设计原则
### 3.1 业务卡片走独立事件
业务卡片不应伪装成:
- `status`
- `tool_result`
- `schedule_completed`
原因如下:
1. `status` 更适合阶段提示,不适合承载稳定业务结果。
2. `tool_result` 更适合工具过程回执,不适合承载用户真正关心的结果实体。
3. `schedule_completed` 是“排程完成信号卡”,语义过窄,不适合继续复用到任务域。
因此,本次建议新增统一事件类型:
- `business_card`
### 3.2 统一入口,卡片内再分类型
后端统一发:
- `kind = business_card`
- `display_mode = card`
再在 payload 中细分:
- `card_type = task_query`
- `card_type = task_record`
其中:
- `task_query` 表示“查到了什么”
- `task_record` 表示“刚刚记下/创建了什么”
### 3.3 尽量直接携带结果快照
本批业务卡片不建议完全照搬 schedule 的“只发信号、前端二次补拉”模式,而应优先直接携带卡片渲染所需的最小结果快照。
原因如下:
1. 查询任务结果是“本轮对话当时查到的内容”,若前端二次补拉,结果可能已变化。
2. 随口记 / 创建任务通常只需要 1 条新增结果,直接随事件下发最稳。
3. 业务卡字段本身不重,没有必要为一张小卡额外走一轮查询接口。
因此,本次推荐:
1. 查询任务卡:直接下发查询条件摘要 + 命中列表快照
2. 任务记录卡:直接下发新建任务摘要
## 4. 事件协议
## 4.1 Timeline kind 扩展
前端 `TimelineEvent.kind` 建议新增:
```ts
type TimelineEventKind =
| 'user_text'
| 'assistant_text'
| 'tool_call'
| 'tool_result'
| 'confirm_request'
| 'schedule_completed'
| 'interrupt'
| 'status'
| 'business_card'
```
## 4.2 payload 扩展建议
建议在现有 `payload` 中显式新增 `business_card` 字段,不建议长期把正式协议塞进 `meta`
推荐结构:
```ts
type BusinessCardType = 'task_query' | 'task_record'
type TaskRecordSource = 'quick_note' | 'create_task'
interface TimelineBusinessCardPayload {
card_type: BusinessCardType
title?: string
summary?: string
source?: TaskRecordSource
data: TaskQueryCardData | TaskRecordCardData
}
```
对应地,`TimelineEvent.payload` 可扩为:
```ts
interface TimelineEventPayload {
reasoning_content?: string
stage?: string
block_id?: string
display_mode?: 'card'
tool?: TimelineToolPayload
confirm?: TimelineConfirmPayload
business_card?: TimelineBusinessCardPayload
}
```
## 4.3 SSE extra 扩展建议
后端流式 extra 建议新增:
```json
{
"kind": "business_card",
"block_id": "quick_task.result",
"stage": "quick_task",
"display_mode": "card",
"business_card": {
"card_type": "task_query",
"title": "找到 4 条未完成任务",
"summary": "按截止时间升序",
"data": {}
}
}
```
建议后端在 `OpenAIChunkExtra` 中显式新增:
- `BusinessCard *StreamBusinessCardExtra`
而不是长期挂入 `Meta`
原因:
1. 业务卡已经被确认会长期存在,不再是灰度字段。
2. 前端渲染会高频依赖这些字段,显式类型更稳。
3. 时间线持久化也更容易做结构校验。
## 5. 两类卡片的数据结构
## 5.1 查询任务卡片
### 5.1.1 目标
用于展示“本轮查询任务时实际查到了哪些任务”,重点是结果快照,而不是工具过程。
### 5.1.2 推荐数据结构
```ts
interface TaskQueryCardTaskItem {
id: number
title: string
priority_group?: number
priority_label?: string
deadline_at?: string
is_completed?: boolean
}
interface TaskQueryCardData {
query_summary?: string
result_count: number
shown_count: number
has_more?: boolean
tasks: TaskQueryCardTaskItem[]
}
```
### 5.1.3 最小字段集
最少需要:
- `card_type = task_query`
- `title`
- `data.result_count`
- `data.tasks`
其中 `tasks` 每项最少建议包含:
- `id`
- `title`
### 5.1.4 增强字段
有条件时建议补充:
- `query_summary`
- `priority_label`
- `deadline_at`
- `is_completed`
- `shown_count`
- `has_more`
### 5.1.5 降级规则
1. 若只有 `result_count` 无任务列表:
- 前端仍可渲染简版统计卡,不展示列表区。
2. 若任务项缺少 `priority_label` / `deadline_at`
- 隐藏对应字段行,不展示占位符。
3.`result_count = 0`
- 渲染空结果态卡片,而不是回退纯文本。
### 5.1.6 示例
```json
{
"kind": "business_card",
"payload": {
"stage": "quick_task",
"block_id": "quick_task.result",
"display_mode": "card",
"business_card": {
"card_type": "task_query",
"title": "找到 4 条未完成任务",
"summary": "按截止时间升序",
"data": {
"query_summary": "关键词:离散数学;仅未完成;截止时间升序",
"result_count": 4,
"shown_count": 3,
"has_more": true,
"tasks": [
{
"id": 101,
"title": "离散数学作业 3",
"priority_group": 2,
"priority_label": "重要不紧急",
"deadline_at": "2026-04-29 21:00",
"is_completed": false
},
{
"id": 105,
"title": "离散数学命题证明复习",
"priority_group": 2,
"priority_label": "重要不紧急",
"deadline_at": "2026-05-01 18:00",
"is_completed": false
},
{
"id": 108,
"title": "离散数学错题整理",
"priority_group": 3,
"priority_label": "普通任务",
"deadline_at": "",
"is_completed": false
}
]
}
}
}
}
```
## 5.2 任务记录卡片
### 5.2.1 目标
用于展示“刚刚记下/创建出的那条任务结果”,统一承载:
- 随口记
- 创建任务
### 5.2.2 推荐数据结构
```ts
interface TaskRecordCardData {
id?: number
title: string
priority_group?: number
priority_label?: string
deadline_at?: string
urgency_threshold_at?: string
status?: string
created_at?: string
}
```
卡片额外语义通过外层字段区分:
```ts
interface TimelineBusinessCardPayload {
card_type: 'task_record'
title?: string
summary?: string
source?: 'quick_note' | 'create_task'
data: TaskRecordCardData
}
```
### 5.2.3 最小字段集
最少需要:
- `card_type = task_record`
- `source`
- `data.title`
### 5.2.4 增强字段
有条件时建议补充:
- `id`
- `priority_label`
- `deadline_at`
- `urgency_threshold_at`
- `status`
- `created_at`
- `summary`
### 5.2.5 source 语义约定
#### `source = quick_note`
表示这条记录来自“随口记”入口。
前端展示建议:
1. 头部弱化“正式创建”措辞。
2. 更强调“已帮你记下”。
3. 若字段较少,只展示标题和轻量标签即可成立。
#### `source = create_task`
表示这条记录来自“明确创建任务”入口。
前端展示建议:
1. 头部可用更正式的“任务已创建”表达。
2. 更适合展示 deadline / priority / status 等结构化信息。
### 5.2.6 降级规则
1. 若只有 `title`
- 仍渲染最简任务记录卡。
2. 若没有 `deadline_at`
- 不展示“无截止时间”字样,直接隐藏该字段区。
3. 若没有 `priority_label`
- 不展示优先级标签,避免为了填满 UI 硬造信息。
### 5.2.7 示例:随口记
```json
{
"kind": "business_card",
"payload": {
"stage": "quick_task",
"block_id": "quick_task.result",
"display_mode": "card",
"business_card": {
"card_type": "task_record",
"title": "已帮你记下",
"summary": "一条轻量提醒已写入任务系统",
"source": "quick_note",
"data": {
"id": 301,
"title": "周三晚上给导师发周报",
"priority_group": 2,
"priority_label": "重要不紧急",
"deadline_at": "2026-04-29 20:00",
"created_at": "2026-04-27 16:10:00"
}
}
}
}
```
### 5.2.8 示例:创建任务
```json
{
"kind": "business_card",
"payload": {
"stage": "execute",
"block_id": "execute.result",
"display_mode": "card",
"business_card": {
"card_type": "task_record",
"title": "任务已创建",
"summary": "已写入任务系统",
"source": "create_task",
"data": {
"id": 405,
"title": "完成离散数学第 1 节复习",
"priority_group": 1,
"priority_label": "重要紧急",
"deadline_at": "2026-04-28 22:00",
"status": "todo",
"created_at": "2026-04-27 16:12:00"
}
}
}
}
```
## 6. 前端对接要求
## 6.1 时间线模型扩展
前端建议扩展:
1. `TimelineEvent.kind` 增加 `business_card`
2. `payload.business_card` 增加强类型
3. `DisplayAssistantBlock.type` 增加 `business_card`
建议结构:
```ts
type DisplayAssistantBlockType =
| 'tool'
| 'status'
| 'reasoning'
| 'content'
| 'content_indicator'
| 'schedule_card'
| 'business_card'
```
## 6.2 组件拆分建议
建议前端按“两层组件”实现:
### 第一层:统一容器
- `BusinessCardRenderer.vue`
职责:
1. 根据 `card_type` 分发子组件
2. 兜底空态 / 未知类型
3. 统一外边距、动画、时间线嵌入样式
### 第二层:两张业务卡
- `TaskQueryResultCard.vue`
- `TaskRecordCard.vue`
这样可以保持:
1. 外层时间线接入统一
2. 卡片内部样式独立演进
3. 后续若新增其他业务卡,只需继续扩展 renderer
## 6.3 渲染策略
### 查询任务卡
建议展示:
1. 头部标题
2. 查询摘要
3. 命中数量
4. 任务列表(建议最多展示 3~5 条)
5. 若有更多结果,展示“还有 N 条”
### 任务记录卡
建议展示:
1. 头部标题
2. 来源标签:`随口记生成` / `已创建任务`
3. 任务标题
4. 优先级 / 截止时间等辅助信息
## 6.4 未知字段兼容
前端渲染必须允许以下情况存在:
1. 后端只返回最小字段集
2. 某些增强字段为空
3. 不同入口产生的字段丰富度不同
因此前端实现原则是:
- 只消费拿得到的字段
- 不对缺失字段报错
- 不渲染“空标签”“空时间”“--”
## 7. 后端对接要求
## 7.1 发射位置建议
考虑到当前 `node` 目录正在整理,本轮先定协议,不要求立刻改动节点实现。后端后续落地时,建议在以下业务完成点发射:
### 查询任务卡
建议在“查询任务成功且拿到最终结果快照”后发射。
候选位置:
- `quick_task` 查询成功路径
- 后续若有独立查询任务工具域,也应在最终结果汇总后发射
### 任务记录卡
建议在“写入任务系统成功并拿到任务结果”后发射。
候选位置:
- `quick_task` create 成功路径,对应 `source = quick_note`
- 正式任务创建成功路径,对应 `source = create_task`
## 7.2 发射时机约束
业务卡片必须满足以下约束:
1. 只在业务真实成功后发射
2. 不能在参数未齐、等待确认、仅计划阶段时提前发射
3. 不能把“工具调用开始”误当成“业务结果卡”
换句话说:
- `tool_call/tool_result` 负责过程
- `business_card` 负责结果
## 7.3 与纯文本回复的关系
业务卡片不是纯文本回复的替代物,而是补充物。
建议后端保持:
1. 正常 assistant speak 继续输出
2. 业务卡片作为同轮时间线中的独立 block 插入
这样用户既能看到自然语言结果,也能看到结构化回执。
### 7.3.1 默认范式:短正文 + 结果卡
本次明确约定:业务卡片默认采用“短正文 + 结果卡”的组合范式,不采用“用卡片替换 LLM 正文”的方案。
推荐理解如下:
1. LLM 正文负责自然语言衔接、解释和收口。
2. 业务卡片负责结构化结果展示。
3. 两者是互补关系,不是替代关系。
推荐表现形态:
- 查询任务:
- 正文示例:`我找到 4 条相关任务,先给你列重点。`
- 后接:查询任务卡片
- 随口记:
- 正文示例:`我帮你记下来了。`
- 后接:任务记录卡片
- 创建任务:
- 正文示例:`这条任务已经创建好了。`
- 后接:任务记录卡片
### 7.3.2 为什么不采用“卡片替换正文”
不建议让节点直接吞掉 LLM 原本准备输出的正文,只保留卡片,原因如下:
1. 自然语言回复承担上下文衔接作用,直接去掉后,聊天感会突然中断。
2. 卡片负责结果快照,正文负责语气和解释,两者职责不同。
3. “替换正文”会引入额外分支判断,容易再次出现“该显示的被吞掉 / 不该显示的被露出”的问题。
因此,本次协议层明确规定:
- `business_card` 是正文补充,不是正文替代。
- 前端收到 `business_card` 时,不应主动隐藏同轮 `assistant_text`
- 后端发出 `business_card` 时,也不应把它当作“正文已无需输出”的信号。
### 7.3.3 正文长度约束
虽然保留正文,但在存在业务卡片的场景下,正文应尽量短,不要把卡片里已经结构化展示的内容再用长段文字完整复述一遍。
建议约束:
1. 正文以一句或两句为宜。
2. 正文只表达结论、态度或过渡,不重复列出完整字段。
3. 任务标题、时间、优先级、命中列表等细节尽量交给卡片承载。
换句话说,本次推荐的最终交互形态是:
- 先给一句自然语言反馈
- 再给结构化业务卡片
而不是:
- 大段正文完整复述一遍
- 再来一张内容几乎重复的卡片
### 7.3.4 顺序建议
如果同一轮既有正文又有业务卡片,推荐前端按以下顺序展示:
1. `assistant_text`
2. `business_card`
原因:
1. 更符合自然阅读流:先“听结果”,再“看详情”。
2. 能保持聊天节奏,不会让卡片突兀抢到正文前面。
3. 与当前 `assistant_text + 结构化卡片` 的时间线模型一致。
### 7.3.5 卡片位置约束
本次进一步明确:业务卡片应当紧跟在“与之对应的那段 assistant 正文”后面,而不是拖到整轮消息流的绝对结尾再统一补发。
推荐顺序:
1. 业务成功
2. 输出一句简短 `assistant_text`
3. 立即输出对应的 `business_card`
4. 本轮结束,或仅保留极短的必要收尾
不推荐顺序:
1. 先输出结果正文
2. 中间再插入其他阶段提示、补充说明或收尾文案
3. 最后才在整轮末尾补一张业务卡片
这样做的问题是:
1. 卡片和对应正文的语义绑定会变弱。
2. 用户会误以为卡片是在回应更后面的内容,而不是前面的那句结果。
3. 卡片会更像“附录”或“补充材料”,而不是本轮结果的结构化主回执。
因此,前后端统一按以下口径理解:
- 业务卡片不是“整轮结束彩蛋”
- 业务卡片是“对应正文的紧随结果块”
也就是说,位置上应理解为:
- 紧跟对应消息后面
- 而不是放在整轮会话的绝对结尾
### 7.3.6 对后端发射时机的直接要求
后端后续补发 `business_card` 时,应尽量保证:
1. 卡片事件在对应 `assistant_text` 之后立即进入时间线。
2. 卡片事件之后不要再接大段重复解释。
3. 若确实需要补一句收尾,也应控制在极短长度内,避免把卡片重新推离它所服务的正文。
前端在渲染时,也不应为了“统一收口”而把业务卡片重新移动到该轮消息的最末尾。
## 8. 时间线持久化要求
若当前时间线已经会持久化 `tool_call``tool_result``confirm_request``schedule_completed`,则 `business_card` 也应进入同一条时间线持久化链路。
要求:
1. 刷新页面后能恢复卡片
2. 渲染顺序仍以 `seq` 为准
3. 不能只在 SSE 在线期间可见
## 9. 推荐落地顺序
考虑到当前 execute/node 还在精简,推荐顺序如下:
### 第一步:前端先落承载层
1. 扩展 timeline 类型
2. 扩展 `business_card` payload 类型
3. 新增 `BusinessCardRenderer.vue`
4. 新增 `TaskQueryResultCard.vue`
5. 新增 `TaskRecordCard.vue`
6.`AssistantPanel.vue` 接入渲染分支
### 第二步:后端补协议结构
1. 在 stream extra 中新增 `business_card`
2. 在 timeline 持久化 DTO 中补 `business_card`
3. 保证刷新后可恢复
### 第三步:后端补业务发射点
1. quick task 查询成功 -> 发 `task_query`
2. quick note 创建成功 -> 发 `task_record(source=quick_note)`
3. 正式创建任务成功 -> 发 `task_record(source=create_task)`
## 10. 本次明确不做的事
本说明暂不覆盖:
1. 修改工具调用卡片协议
2. 修改确认卡片协议
3. 把业务卡片统一改为前端二次补拉
4.`随口记``创建任务` 再拆成两套完全独立事件类型
## 11. 最终结论
本次业务卡片推荐采用以下标准:
1. 新增统一时间线事件:`business_card`
2. 卡片类型只保留两类:
- `task_query`
- `task_record`
3. `task_record``source` 区分:
- `quick_note`
- `create_task`
4. 卡片优先直接携带结果快照,不走“仅发信号、前端再查一次”的默认模式
5. 前端可先按本文把渲染层做完,后端后续按同一协议补发事件

View File

@@ -16,6 +16,45 @@ export interface TimelineConfirmPayload {
summary: string summary: string
} }
export interface TaskQueryCardTaskItem {
id: number
title: string
priority_group?: number
priority_label?: string
deadline_at?: string
is_completed?: boolean
}
export interface TaskQueryCardData {
query_summary?: string
result_count: number
shown_count: number
has_more?: boolean
tasks: TaskQueryCardTaskItem[]
}
export interface TaskRecordCardData {
id?: number
title: string
priority_group?: number
priority_label?: string
deadline_at?: string
urgency_threshold_at?: string
status?: string
created_at?: string
}
export type BusinessCardType = 'task_query' | 'task_record'
export type TaskRecordSource = 'quick_note' | 'create_task'
export interface TimelineBusinessCardPayload {
card_type: BusinessCardType
title?: string
summary?: string
source?: TaskRecordSource
data: TaskQueryCardData | TaskRecordCardData
}
export interface TimelineEvent { export interface TimelineEvent {
id: number id: number
seq: number seq: number
@@ -28,6 +67,7 @@ export interface TimelineEvent {
| 'schedule_completed' | 'schedule_completed'
| 'interrupt' | 'interrupt'
| 'status' | 'status'
| 'business_card'
role?: 'user' | 'assistant' role?: 'user' | 'assistant'
content?: string content?: string
payload?: { payload?: {
@@ -37,6 +77,7 @@ export interface TimelineEvent {
display_mode?: 'card' display_mode?: 'card'
tool?: TimelineToolPayload tool?: TimelineToolPayload
confirm?: TimelineConfirmPayload confirm?: TimelineConfirmPayload
business_card?: TimelineBusinessCardPayload
} }
tokens_consumed?: number tokens_consumed?: number
created_at: string created_at: string

View File

@@ -0,0 +1,62 @@
<script setup lang="ts">
import { computed } from 'vue'
import type { TimelineBusinessCardPayload, TaskQueryCardData, TaskRecordCardData } from '@/api/schedule_agent'
import TaskQueryResultCard from './TaskQueryResultCard.vue'
import TaskRecordCard from './TaskRecordCard.vue'
const props = defineProps<{
payload: TimelineBusinessCardPayload
}>()
const isTaskQuery = computed(() => props.payload.card_type === 'task_query')
const isTaskRecord = computed(() => props.payload.card_type === 'task_record')
const queryData = computed(() => props.payload.data as TaskQueryCardData)
const recordData = computed(() => props.payload.data as TaskRecordCardData)
</script>
<template>
<div class="business-card-renderer">
<TaskQueryResultCard
v-if="isTaskQuery"
:data="queryData"
:title="payload.title"
:summary="payload.summary"
/>
<TaskRecordCard
v-else-if="isTaskRecord"
:data="recordData"
:source="payload.source"
:title="payload.title"
:summary="payload.summary"
/>
<div v-else class="unknown-card">
<p>未知业务卡片类型: {{ payload.card_type }}</p>
</div>
</div>
</template>
<style scoped>
.business-card-renderer {
margin: 12px 0;
display: flex;
flex-direction: column;
animation: card-appear 0.4s cubic-bezier(0.34, 1.56, 0.64, 1);
}
@keyframes card-appear {
0% { opacity: 0; transform: scale(0.95) translateY(10px); }
100% { opacity: 1; transform: scale(1) translateY(0); }
}
.unknown-card {
padding: 16px;
background: #f1f5f9;
border-radius: 12px;
color: #64748b;
font-size: 13px;
text-align: center;
}
</style>

View File

@@ -0,0 +1,230 @@
<script setup lang="ts">
import type { TaskQueryCardData } from '@/api/schedule_agent'
const props = defineProps<{
data: TaskQueryCardData
title?: string
summary?: string
}>()
// 对齐首页象限体系
const quadMeta: any = {
1: { title: '重要且紧急', tone: 'danger', color: '#ef4444' },
2: { title: '重要不紧急', tone: 'primary', color: '#3b82f6' },
3: { title: '简单不重要', tone: 'warning', color: '#f59e0b' },
4: { title: '不简单不重要', tone: 'slate', color: '#64748b' }
}
const getBgStyle = (group: number = 2) => {
const bgMap: any = {
1: 'linear-gradient(180deg, #fff1f2 0%, #fff7f7 100%)',
2: 'linear-gradient(180deg, #eef7ff 0%, #f7fbff 100%)',
3: 'linear-gradient(180deg, #fff8df 0%, #fffdf1 100%)',
4: 'linear-gradient(180deg, #f2f5fb 0%, #f8fafc 100%)'
}
return bgMap[group] || bgMap[2]
}
const getTextColor = (group: number = 2) => {
return quadMeta[group]?.color || '#3b82f6'
}
</script>
<template>
<div class="business-card query-results" :style="{ background: getBgStyle(props.data.tasks[0]?.priority_group) }">
<header class="card-header">
<div class="header-left">
<p class="eyebrow">{{ summary || '查询结果' }}</p>
<h3>{{ title || '为您找到以下任务' }}</h3>
</div>
<div class="count-badge" v-if="data.result_count > 0">
{{ data.result_count }}
</div>
</header>
<div class="card-content">
<div v-if="data.tasks && data.tasks.length > 0" class="task-items">
<div v-for="task in data.tasks" :key="task.id" class="task-item">
<div class="item-check">
<div class="check-circle" :style="{ borderColor: getTextColor(task.priority_group) }"></div>
</div>
<div class="item-body">
<div class="item-title">{{ task.title }}</div>
<div class="item-meta">
<span
class="q-pill"
v-if="task.priority_group"
:style="{ color: getTextColor(task.priority_group), background: getTextColor(task.priority_group) + '10' }"
>
Q{{ task.priority_group }} {{ quadMeta[task.priority_group]?.title }}
</span>
<span v-if="task.deadline_at" class="time-pill">
<svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"/><polyline points="12 6 12 12 16 14"/></svg>
{{ task.deadline_at }}
</span>
</div>
</div>
</div>
</div>
<div v-else class="empty-state">
<div class="empty-icon">
<svg width="40" height="40" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.5"><circle cx="12" cy="12" r="10"/><path d="M10 10l4 4m0-4l-4 4"/></svg>
</div>
<p>暂无符合条目</p>
</div>
<button v-if="data.has_more" class="btn-more">查看完整列表</button>
</div>
</div>
</template>
<style scoped>
.business-card {
width: 100%;
max-width: 400px;
border-radius: 28px;
border: 1px solid rgba(17, 24, 39, 0.08);
box-shadow: 0 4px 20px rgba(0,0,0,0.02);
overflow: hidden;
transition: all 0.3s;
background: white;
}
.business-card:hover {
transform: translateY(-2px);
box-shadow: 0 12px 40px rgba(15, 23, 42, 0.06);
}
.card-header {
padding: 24px 24px 16px;
display: flex;
justify-content: space-between;
align-items: flex-start;
}
.eyebrow {
font-size: 11px;
font-weight: 800;
color: rgba(30, 41, 59, 0.5);
text-transform: uppercase;
letter-spacing: 0.1em;
margin: 0 0 6px 0;
}
.card-header h3 {
font-size: 20px;
font-weight: 850;
color: #1e293b;
margin: 0;
line-height: 1.2;
letter-spacing: -0.02em;
}
.count-badge {
padding: 4px 12px;
background: rgba(255, 255, 255, 0.8);
border-radius: 100px;
font-size: 11px;
font-weight: 700;
color: #475569;
box-shadow: 0 2px 8px rgba(0,0,0,0.02);
}
.task-items {
padding: 0 16px;
display: flex;
flex-direction: column;
gap: 8px;
}
.task-item {
background: rgba(255, 255, 255, 0.95);
border: 1px solid rgba(0,0,0,0.04);
border-radius: 18px;
padding: 14px 16px;
display: flex;
gap: 14px;
align-items: center;
}
.check-circle {
width: 20px;
height: 20px;
border-radius: 50%;
border: 2px solid #e2e8f0;
flex-shrink: 0;
}
.item-body {
flex: 1;
min-width: 0;
}
.item-title {
font-size: 14px;
font-weight: 700;
color: #122033;
margin-bottom: 4px;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
}
.item-meta {
display: flex;
gap: 10px;
align-items: center;
}
.q-pill {
font-size: 9px;
font-weight: 800;
padding: 1px 6px;
border-radius: 4px;
}
.time-pill {
font-size: 9px;
color: #94a3b8;
display: flex;
align-items: center;
gap: 4px;
font-weight: 500;
}
.btn-more {
width: calc(100% - 32px);
margin: 16px 16px 20px;
padding: 12px;
border: none;
background: rgba(255, 255, 255, 0.6);
border-radius: 14px;
font-size: 12px;
font-weight: 800;
color: #475569;
cursor: pointer;
transition: all 0.2s;
}
.btn-more:hover {
background: white;
}
.empty-state {
padding: 32px 16px;
text-align: center;
color: #94a3b8;
}
.empty-icon {
margin-bottom: 8px;
opacity: 0.5;
}
.empty-state p {
font-size: 13px;
font-weight: 600;
margin: 0;
}
</style>

View File

@@ -0,0 +1,180 @@
<script setup lang="ts">
import type { TaskRecordCardData, TaskRecordSource } from '@/api/schedule_agent'
const props = defineProps<{
data: TaskRecordCardData
source?: TaskRecordSource
title?: string
summary?: string
}>()
// 对齐首页象限体系
const quadMeta: any = {
1: { title: '重要且紧急', tone: 'danger', color: '#ef4444' },
2: { title: '重要不紧急', tone: 'primary', color: '#3b82f6' },
3: { title: '简单不重要', tone: 'warning', color: '#f59e0b' },
4: { title: '不简单不重要', tone: 'slate', color: '#64748b' }
}
const getBgStyle = (group: number = 2) => {
const bgMap: any = {
1: 'linear-gradient(180deg, #fff1f2 0%, #fff7f7 100%)',
2: 'linear-gradient(180deg, #eef7ff 0%, #f7fbff 100%)',
3: 'linear-gradient(180deg, #fff8df 0%, #fffdf1 100%)',
4: 'linear-gradient(180deg, #f2f5fb 0%, #f8fafc 100%)'
}
return bgMap[group] || bgMap[2]
}
const getTextColor = (group: number = 2) => {
return quadMeta[group]?.color || '#3b82f6'
}
</script>
<template>
<div class="business-card creation-receipt" :style="{ background: getBgStyle(props.data.priority_group) }">
<div class="receipt-inner">
<div class="receipt-header">
<div class="success-ring" :style="{ background: getTextColor(props.data.priority_group) + '20', color: getTextColor(props.data.priority_group) }">
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="3"><polyline points="20 6 9 17 4 12"/></svg>
</div>
<div class="success-msg">
<strong>{{ title || (source === 'quick_note' ? '已帮您记下' : '任务已创建') }}</strong>
<span v-if="data.priority_group">归类至{{ quadMeta[data.priority_group].title }}</span>
</div>
</div>
<div class="task-info-card">
<div class="task-title">{{ data.title }}</div>
<div class="task-footer">
<span class="task-id" v-if="data.id">ID: {{ data.id }}</span>
<span class="task-time" v-if="data.created_at || data.deadline_at">
{{ data.deadline_at ? '截止' + data.deadline_at : '刚刚创建' }}
</span>
</div>
</div>
<div class="receipt-actions">
<button class="btn-outline">修改详情</button>
<button class="btn-fill" :style="{ background: getTextColor(props.data.priority_group) }">打开查看</button>
</div>
</div>
</div>
</template>
<style scoped>
.business-card {
width: 100%;
max-width: 400px;
border-radius: 28px;
border: 1px solid rgba(17, 24, 39, 0.08);
box-shadow: 0 4px 20px rgba(0,0,0,0.02);
overflow: hidden;
transition: all 0.3s;
}
.receipt-inner {
padding: 24px;
display: flex;
flex-direction: column;
gap: 20px;
}
.receipt-header {
display: flex;
gap: 14px;
align-items: center;
}
.success-ring {
width: 44px;
height: 44px;
border-radius: 50%;
display: flex;
align-items: center;
justify-content: center;
flex-shrink: 0;
}
.success-msg {
display: flex;
flex-direction: column;
}
.success-msg strong {
font-size: 15px;
font-weight: 850;
color: #0f172a;
}
.success-msg span {
font-size: 12px;
color: #64748b;
font-weight: 500;
}
.task-info-card {
background: rgba(255, 255, 255, 0.95);
border: 1px solid rgba(0,0,0,0.03);
border-radius: 20px;
padding: 20px;
box-shadow: 0 4px 12px rgba(0,0,0,0.01);
}
.task-title {
font-size: 16px;
font-weight: 800;
color: #1e293b;
margin-bottom: 12px;
line-height: 1.4;
}
.task-footer {
display: flex;
justify-content: space-between;
font-size: 11px;
font-weight: 600;
color: #94a3b8;
border-top: 1px solid #f1f5f9;
padding-top: 10px;
}
.receipt-actions {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 10px;
}
.btn-outline {
height: 42px;
border: 1px solid #e2e8f0;
background: white;
border-radius: 12px;
font-size: 13px;
font-weight: 750;
color: #475569;
cursor: pointer;
transition: all 0.2s;
}
.btn-outline:hover {
background: #f8fafc;
}
.btn-fill {
height: 42px;
border: none;
border-radius: 12px;
color: white;
font-size: 13px;
font-weight: 800;
cursor: pointer;
box-shadow: 0 8px 20px rgba(0,0,0,0.1);
transition: all 0.2s;
}
.btn-fill:hover {
filter: brightness(1.1);
transform: translateY(-1px);
}
</style>

View File

@@ -32,6 +32,8 @@ import ScheduleResultCard from '@/components/assistant/ScheduleResultCard.vue'
import ScheduleFineTuneModal from '@/components/assistant/ScheduleFineTuneModal.vue' import ScheduleFineTuneModal from '@/components/assistant/ScheduleFineTuneModal.vue'
import { formatConversationTime, formatMessageTime } from '@/utils/date' import { formatConversationTime, formatMessageTime } from '@/utils/date'
import { renderMarkdown } from '@/utils/markdown' import { renderMarkdown } from '@/utils/markdown'
import BusinessCardRenderer from '@/components/assistant/cards/BusinessCardRenderer.vue'
import type { TimelineBusinessCardPayload } from '@/api/schedule_agent'
interface StreamDeltaPayload { interface StreamDeltaPayload {
content?: string content?: string
@@ -147,12 +149,13 @@ interface DisplayMessage {
interface DisplayAssistantBlock { interface DisplayAssistantBlock {
id: string id: string
type: 'tool' | 'status' | 'reasoning' | 'content' | 'content_indicator' | 'schedule_card' type: 'tool' | 'status' | 'reasoning' | 'content' | 'content_indicator' | 'schedule_card' | 'business_card'
seq: number seq: number
text?: string text?: string
event?: ToolTraceEvent event?: ToolTraceEvent
statusEvent?: StatusTraceEvent statusEvent?: StatusTraceEvent
schedulePreview?: SchedulePreviewData schedulePreview?: SchedulePreviewData
businessCard?: TimelineBusinessCardPayload
/** 所属的源消息 ID用于状态查询 */ /** 所属的源消息 ID用于状态查询 */
sourceId?: string sourceId?: string
/** 所属的源消息引用,用于渲染辅助信息 */ /** 所属的源消息引用,用于渲染辅助信息 */
@@ -228,12 +231,13 @@ const toolTraceExpandedMap = reactive<Record<string, boolean>>({})
const assistantReasoningSeqMap = reactive<Record<string, number>>({}) const assistantReasoningSeqMap = reactive<Record<string, number>>({})
const assistantContentBlocksMap = reactive<Record<string, AssistantContentBlock[]>>({}) const assistantContentBlocksMap = reactive<Record<string, AssistantContentBlock[]>>({})
const assistantReasoningBlocksMap = reactive<Record<string, AssistantContentBlock[]>>({}) const assistantReasoningBlocksMap = reactive<Record<string, AssistantContentBlock[]>>({})
const assistantTimelineLastKindMap = reactive<Record<string, 'content' | 'tool' | 'status' | 'reasoning' | 'other'>>({}) const assistantTimelineLastKindMap = reactive<Record<string, 'content' | 'tool' | 'status' | 'reasoning' | 'business_card' | 'other'>>({})
const conversationContextStatsMap = reactive<Record<string, ConversationContextStats | null>>({}) const conversationContextStatsMap = reactive<Record<string, ConversationContextStats | null>>({})
const conversationContextStatsLoadingMap = reactive<Record<string, boolean>>({}) const conversationContextStatsLoadingMap = reactive<Record<string, boolean>>({})
const conversationContextStatsReadyMap = reactive<Record<string, boolean>>({}) const conversationContextStatsReadyMap = reactive<Record<string, boolean>>({})
const conversationListItemRevealMap = reactive<Record<string, boolean>>({}) const conversationListItemRevealMap = reactive<Record<string, boolean>>({})
const scheduleResultMap = reactive<Record<string, SchedulePreviewData>>({}) const scheduleResultMap = reactive<Record<string, SchedulePreviewData>>({})
const businessCardEventsMap = reactive<Record<string, TimelineBusinessCardPayload[]>>({})
const isFineTuneModalVisible = ref(false) const isFineTuneModalVisible = ref(false)
const fineTuneLoading = ref(false) const fineTuneLoading = ref(false)
const activeFineTuneData = ref<SchedulePreviewData | null>(null) const activeFineTuneData = ref<SchedulePreviewData | null>(null)
@@ -484,6 +488,7 @@ function clearToolTraceState(messageId: string) {
delete assistantContentBlocksMap[messageId] delete assistantContentBlocksMap[messageId]
delete assistantTimelineLastKindMap[messageId] delete assistantTimelineLastKindMap[messageId]
delete scheduleResultMap[messageId] delete scheduleResultMap[messageId]
delete businessCardEventsMap[messageId]
for (const key of Object.keys(toolTraceExpandedMap)) { for (const key of Object.keys(toolTraceExpandedMap)) {
if (key.startsWith(`${messageId}:tool:`)) { if (key.startsWith(`${messageId}:tool:`)) {
delete toolTraceExpandedMap[key] delete toolTraceExpandedMap[key]
@@ -711,6 +716,29 @@ function appendAssistantReasoningChunk(messageId: string, chunk: string) {
assistantTimelineLastKindMap[messageId] = 'reasoning' assistantTimelineLastKindMap[messageId] = 'reasoning'
} }
/**
* 追加业务卡片事件
*/
function appendBusinessCardEvent(messageId: string, payload: TimelineBusinessCardPayload, seq?: number) {
if (!businessCardEventsMap[messageId]) {
businessCardEventsMap[messageId] = []
}
// 如果上一个阶段是推理,则结束并折叠它
if (assistantTimelineLastKindMap[messageId] === 'reasoning') {
finishCurrentReasoningBlock(messageId)
}
const eventSeq = seq || nextAssistantTimelineSeq()
businessCardEventsMap[messageId].push({
...payload,
// 借用 payload 存储 seq便于 getDisplayAssistantBlocks 排序
_seq: eventSeq
} as any)
assistantTimelineLastKindMap[messageId] = 'business_card'
}
function mapToolEventState(rawStatus?: string): ToolTraceState { function mapToolEventState(rawStatus?: string): ToolTraceState {
const normalized = `${rawStatus || ''}`.trim().toLowerCase() const normalized = `${rawStatus || ''}`.trim().toLowerCase()
if (normalized === 'start' || normalized === 'calling' || normalized === 'called') { if (normalized === 'start' || normalized === 'calling' || normalized === 'called') {
@@ -1284,7 +1312,6 @@ function getDisplayAssistantBlocks(dm: DisplayMessage): DisplayAssistantBlock[]
source, source,
}) })
} }
const statusEvents = (statusTraceEventsMap[source.id] || []).slice().sort((left, right) => left.seq - right.seq) const statusEvents = (statusTraceEventsMap[source.id] || []).slice().sort((left, right) => left.seq - right.seq)
for (const statusEvent of statusEvents) { for (const statusEvent of statusEvents) {
blocks.push({ blocks.push({
@@ -1321,6 +1348,18 @@ function getDisplayAssistantBlocks(dm: DisplayMessage): DisplayAssistantBlock[]
}) })
} }
const businessCards = businessCardEventsMap[source.id] || []
for (const card of businessCards) {
blocks.push({
id: `${source.id}:card:${(card as any)._seq}`,
type: 'business_card',
seq: (card as any)._seq,
businessCard: card,
sourceId: source.id,
source,
})
}
const contentBlocks = assistantContentBlocksMap[source.id] || [] const contentBlocks = assistantContentBlocksMap[source.id] || []
if (contentBlocks.length > 0) { if (contentBlocks.length > 0) {
hasContentBlock = true hasContentBlock = true
@@ -1803,18 +1842,16 @@ function rebuildStateFromTimeline(conversationId: string, events: TimelineEvent[
// 在刷新恢复场景下,我们只需设置状态即可。 // 在刷新恢复场景下,我们只需设置状态即可。
} }
break break
case 'business_card':
if (event.payload?.business_card) {
appendBusinessCardEvent(mid, event.payload.business_card)
}
break
case 'schedule_completed': case 'business_card':
// 1. 标记该消息需要排程卡片。 if (event.payload?.business_card) {
// 2. 改造点:不在此处立即进行 getSchedulePreview 的异步拉取, appendBusinessCardEvent(mid, event.payload.business_card, event.seq)
// 避免后端还未完成落库、或者并发过高导致的 'schedule plan preview not found' 404 捕获。 }
// 3. 这里先存入占位标志,真正的拉取推迟到用户“点击卡片”时。
scheduleResultMap[mid] = {
summary: '智能编排方案已就绪',
conversation_id: conversationId,
hybrid_entries: [],
is_placeholder: true, // 内部临时标记
} as any
break break
} }
} }
@@ -2255,20 +2292,11 @@ function handleStreamExtraEvent(extra: StreamExtraPayload | undefined, assistant
`${extra.stage || ''}`, `${extra.stage || ''}`,
) )
} }
scheduleScrollMessagesToBottom(true)
} }
if (extra.kind === 'schedule_completed') { if (extra.kind === 'business_card' && extra.business_card) {
// 1. 每当“排程卡片”这种重量级里程碑出现时,刷新统计信息,让用户感知到上下文变动。 appendBusinessCardEvent(assistantMessage.id, extra.business_card)
void loadConversationContextStats(selectedConversationId.value, true)
// 2. 收到编排完成事件,仅在前端打上占位标记,展示展示卡片。
// 不再并发执行异步 fetch防止后端落库延迟导致的 NotFound。
scheduleResultMap[assistantMessage.id] = {
summary: '智能编排方案已就绪',
conversation_id: selectedConversationId.value,
hybrid_entries: [],
is_placeholder: true,
} as any
scheduleScrollMessagesToBottom(true) scheduleScrollMessagesToBottom(true)
} }
} }
@@ -2798,16 +2826,7 @@ onBeforeUnmount(() => {
<div v-else class="chat-message__assistant-flow"> <div v-else class="chat-message__assistant-flow">
<TransitionGroup name="inner-fade"> <TransitionGroup name="inner-fade">
<div v-for="block in getDisplayAssistantBlocks(dm)" :key="block.id"> <div v-for="block in getDisplayAssistantBlocks(dm)" :key="block.id">
<div v-if="block.type === 'tool'" class="chat-message__tool-list"> <article v-if="block.type === 'tool'" class="chat-message__tool">
<article
class="chat-message__tool-item"
:class="{
'chat-message__tool-item--called': block.event?.state === 'called',
'chat-message__tool-item--completed': block.event?.state === 'completed',
'chat-message__tool-item--create': block.event?.state === 'create',
'chat-message__tool-item--blocked': block.event?.state === 'blocked',
}"
>
<button <button
type="button" type="button"
class="chat-message__tool-head" class="chat-message__tool-head"
@@ -2831,7 +2850,6 @@ onBeforeUnmount(() => {
{{ block.event.detail }} {{ block.event.detail }}
</p> </p>
</article> </article>
</div>
<div v-else-if="block.type === 'status'" class="chat-message__status-line"> <div v-else-if="block.type === 'status'" class="chat-message__status-line">
<span class="chat-message__status-icon" aria-hidden="true"> <span class="chat-message__status-icon" aria-hidden="true">
@@ -2914,6 +2932,10 @@ onBeforeUnmount(() => {
</div> </div>
</div> </div>
<div v-else-if="block.type === 'business_card'" class="chat-message__business-card">
<BusinessCardRenderer :payload="block.businessCard" />
</div>
<div v-else-if="block.type === 'content'" class="chat-message__assistant-content"> <div v-else-if="block.type === 'content'" class="chat-message__assistant-content">
<div class="chat-message__markdown chat-message__markdown--assistant" v-html="renderMessageMarkdown(block.text || '')" /> <div class="chat-message__markdown chat-message__markdown--assistant" v-html="renderMessageMarkdown(block.text || '')" />
</div> </div>

View File

@@ -7,6 +7,7 @@ import DashboardView from '@/views/DashboardView.vue'
import ScheduleView from '@/views/ScheduleView.vue' import ScheduleView from '@/views/ScheduleView.vue'
import ToolTracePrototypeView from '@/views/ToolTracePrototypeView.vue' import ToolTracePrototypeView from '@/views/ToolTracePrototypeView.vue'
import TaskInteractiveDemo from '@/views/TaskInteractiveDemo.vue' import TaskInteractiveDemo from '@/views/TaskInteractiveDemo.vue'
import DesignDemo from '@/views/DesignDemo.vue'
const router = createRouter({ const router = createRouter({
history: createWebHistory(), history: createWebHistory(),
@@ -57,6 +58,11 @@ const router = createRouter({
name: 'tool-trace-prototype', name: 'tool-trace-prototype',
component: ToolTracePrototypeView, component: ToolTracePrototypeView,
}, },
{
path: '/design-demo',
name: 'design-demo',
component: DesignDemo,
},
], ],
}) })

View File

@@ -0,0 +1,253 @@
<script setup lang="ts">
import { ref } from 'vue'
// --- 数据结构定义 ---
interface Task {
id: string
title: string
priority_group: 1 | 2 | 3 | 4
deadline_at?: string
is_completed: boolean
}
// --- 四象限元数据 (深度对齐首页提示词 & 视觉) ---
const quadMeta: any = {
1: { title: '重要且紧急', caption: '优先处理', tone: 'danger', bg: 'linear-gradient(180deg, #fff1f2 0%, #fff7f7 100%)', text: '#ef4444' },
2: { title: '重要不紧急', caption: '持续推进', tone: 'primary', bg: 'linear-gradient(180deg, #eef7ff 0%, #f7fbff 100%)', text: '#3b82f6' },
3: { title: '简单不重要', caption: '顺手完成', tone: 'warning', bg: 'linear-gradient(180deg, #fff8df 0%, #fffdf1 100%)', text: '#f59e0b' },
4: { title: '不简单不重要', caption: '谨慎投入', tone: 'slate', bg: 'linear-gradient(180deg, #f2f5fb 0%, #f8fafc 100%)', text: '#64748b' }
}
// --- 卡片模拟数据 ---
const cardData = {
query: {
query: '我第一象限里还有哪些事情?',
group: 1 as const,
tasks: [
{ id: '1', title: '修复生产环境登录异常', priority_group: 1, deadline_at: '2024-05-20 09:00', is_completed: false },
{ id: '2', title: '提交年度安全审计报告', priority_group: 1, deadline_at: '今天 18:00', is_completed: false },
{ id: '3', title: '确认猎选系统的集成计划', priority_group: 1, deadline_at: '明天', is_completed: false }
] as Task[]
},
receipt: {
title: '联系供应商确认物料进度',
group: 2 as const,
id: 'TASK-520',
created_at: '刚才'
}
}
// --- 交互控制 ---
const activeView = ref<'query' | 'receipt'>('query')
const currentTone = ref<'danger' | 'primary' | 'warning' | 'slate'>('danger')
const switchTone = (tone: any) => {
currentTone.value = tone
// 模拟不同象限的查询结果
const toneToGroup: any = { danger: 1, primary: 2, warning: 3, slate: 4 }
cardData.query.group = toneToGroup[tone]
cardData.receipt.group = toneToGroup[tone]
}
</script>
<template>
<div class="design-demo-page">
<div class="page-background">
<div class="shape shape-1"></div>
<div class="shape shape-2"></div>
</div>
<div class="page-header">
<div class="chip">UI Refined V3.0</div>
<h1>业务卡片收敛方案</h1>
<p>首页风格同步 · 软渐变不晃眼 · 语义对齐</p>
</div>
<div class="demo-wrapper">
<!-- 预览控制台 -->
<aside class="demo-sidebar">
<div class="sidebar-block">
<h3>切换卡片类型</h3>
<div class="view-btns">
<button @click="activeView = 'query'" :class="{ active: activeView === 'query' }">查询记录</button>
<button @click="activeView = 'receipt'" :class="{ active: activeView === 'receipt' }">创建回执</button>
</div>
</div>
<div class="sidebar-block">
<h3>模拟目标象限</h3>
<div class="tone-btns">
<button v-for="(v, k) in quadMeta" :key="k" @click="switchTone(v.tone)" :class="[v.tone, { active: currentTone === v.tone }]">
{{ v.tone === 'danger' ? 'Q1' : v.tone === 'primary' ? 'Q2' : v.tone === 'warning' ? 'Q3' : 'Q4' }}
</button>
</div>
</div>
</aside>
<!-- 画布区域 -->
<main class="demo-canvas">
<!-- 场景 A任务查询结果 -->
<div v-if="activeView === 'query'" class="card-stage" :key="'query-' + currentTone">
<div class="card-label">预览跨象限/单象限查询结果列表</div>
<div class="chat-inline-mockup">
<div class="business-card-final query-results" :style="{ background: quadMeta[cardData.query.group].bg }">
<header class="card-header-final">
<div class="header-left">
<p class="eyebrow">{{ quadMeta[cardData.query.group].caption }}</p>
<h3>{{ cardData.query.query }}</h3>
</div>
<div class="count-badge">找到 {{ cardData.query.tasks.length }} </div>
</header>
<div class="card-content-final">
<div class="task-items-final">
<div v-for="task in cardData.query.tasks" :key="task.id" class="task-item-final">
<div class="item-check">
<div class="check-circle" :style="{ borderColor: quadMeta[cardData.query.group].text }"></div>
</div>
<div class="item-body">
<div class="item-title">{{ task.title }}</div>
<div class="item-meta">
<span class="q-pill" :style="{ color: quadMeta[cardData.query.group].text, background: quadMeta[cardData.query.group].text + '10' }">
Q{{ task.priority_group }} {{ quadMeta[task.priority_group].title }}
</span>
<span v-if="task.deadline_at" class="time-pill">
<svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="12" cy="12" r="10"/><polyline points="12 6 12 12 16 14"/></svg>
{{ task.deadline_at }}
</span>
</div>
</div>
</div>
</div>
<button class="btn-more-final">查看完整任务列表</button>
</div>
</div>
</div>
</div>
<!-- 场景 B任务创建回执 -->
<div v-else class="card-stage" :key="'receipt-' + currentTone">
<div class="card-label">预览任务创建成功的轻量回执</div>
<div class="chat-inline-mockup">
<div class="business-card-final creation-receipt" :style="{ background: quadMeta[cardData.receipt.group].bg }">
<div class="receipt-inner">
<div class="receipt-header-final">
<div class="success-ring-v3" :style="{ background: quadMeta[cardData.receipt.group].text + '20', color: quadMeta[cardData.receipt.group].text }">
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="3"><polyline points="20 6 9 17 4 12"/></svg>
</div>
<div class="success-msg">
<strong>任务已由助手成功创建</strong>
<span>归类至{{ quadMeta[cardData.receipt.group].title }}</span>
</div>
</div>
<div class="receipt-task-card">
<div class="task-card-title">{{ cardData.receipt.title }}</div>
<div class="task-card-footer">
<span class="task-id-final">ID: {{ cardData.receipt.id }}</span>
<span class="task-time-final">创建于今日 {{ cardData.receipt.created_at }}</span>
</div>
</div>
<div class="receipt-actions-final">
<button class="btn-action-outline">调整象限</button>
<button class="btn-action-fill" :style="{ background: quadMeta[cardData.receipt.group].text }">打开详情</button>
</div>
</div>
</div>
</div>
</div>
</main>
</div>
</div>
</template>
<style scoped>
.design-demo-page {
padding: 80px 24px;
background: #fdfdfe;
min-height: 100vh;
position: relative;
overflow: hidden;
font-family: 'Inter', -apple-system, sans-serif;
}
.page-background { position: fixed; inset: 0; z-index: -1; }
.shape { position: absolute; border-radius: 50%; filter: blur(80px); opacity: 0.1; }
.shape-1 { width: 500px; height: 500px; background: #3b82f6; top: -10%; left: -10%; }
.shape-2 { width: 400px; height: 400px; background: #f43f5e; bottom: -5%; right: -5%; }
.page-header { text-align: center; margin-bottom: 60px; }
.chip { display: inline-block; padding: 4px 12px; background: #f1f5f9; color: #475569; border-radius: 100px; font-size: 11px; font-weight: 800; margin-bottom: 12px; }
.page-header h1 { font-size: 32px; font-weight: 900; letter-spacing: -0.04em; color: #0f172a; margin-bottom: 8px; }
.page-header p { font-size: 16px; color: #64748b; font-weight: 500; }
.demo-wrapper { display: flex; gap: 48px; max-width: 1000px; margin: 0 auto; align-items: flex-start; }
.demo-sidebar { width: 200px; display: flex; flex-direction: column; gap: 32px; position: sticky; top: 80px; }
.sidebar-block h3 { font-size: 13px; font-weight: 800; color: #94a3b8; margin-bottom: 12px; text-transform: uppercase; letter-spacing: 0.05em; }
.view-btns, .tone-btns { display: flex; flex-direction: column; gap: 8px; }
.view-btns button, .tone-btns button { padding: 10px 14px; border: 1px solid #f1f5f9; background: white; border-radius: 12px; font-size: 13px; font-weight: 700; color: #475569; cursor: pointer; transition: all 0.2s; text-align: left; }
.view-btns button.active { background: #0f172a; color: white; border-color: #0f172a; }
.tone-btns { display: grid; grid-template-columns: 1fr 1fr; gap: 8px; }
.tone-btns button { text-align: center; }
.tone-btns button.danger.active { background: #fee2e2; color: #ef4444; border-color: #ef4444; }
.tone-btns button.primary.active { background: #dbeafe; color: #3b82f6; border-color: #3b82f6; }
.tone-btns button.warning.active { background: #fef3c7; color: #d97706; border-color: #d97706; }
.tone-btns button.slate.active { background: #f1f5f9; color: #475569; border-color: #475569; }
.demo-canvas { flex: 1; min-width: 0; }
.card-stage { animation: stage-in 0.5s cubic-bezier(0.34, 1.56, 0.64, 1) both; }
@keyframes stage-in { 0% { opacity: 0; transform: translateY(20px); } 100% { opacity: 1; transform: translateY(0); } }
.card-label { font-size: 12px; color: #94a3b8; margin-bottom: 12px; font-weight: 600; padding-left: 8px; }
.chat-inline-mockup { padding: 40px; background: rgba(255, 255, 255, 0.4); border-radius: 40px; border: 1px solid rgba(0,0,0,0.02); backdrop-filter: blur(20px); display: flex; justify-content: center; }
/* --- Final Business Card Refinement --- */
.business-card-final { width: 100%; max-width: 380px; border-radius: 28px; border: 1px solid rgba(17, 24, 39, 0.08); box-shadow: 0 4px 20px rgba(0,0,0,0.02); overflow: hidden; transition: all 0.3s; }
.business-card-final:hover { transform: translateY(-4px); box-shadow: 0 12px 40px rgba(15, 23, 42, 0.06); }
/* Header Sync with Homepage */
.card-header-final { padding: 24px 24px 16px; display: flex; justify-content: space-between; align-items: flex-start; }
.eyebrow { font-size: 11px; font-weight: 800; color: rgba(30, 41, 59, 0.5); text-transform: uppercase; letter-spacing: 0.1em; margin-bottom: 6px; }
.card-header-final h3 { font-size: 24px; font-weight: 850; color: #1e293b; margin: 0; line-height: 1.1; letter-spacing: -0.02em; }
.count-badge { padding: 4px 12px; background: rgba(255, 255, 255, 0.8); border-radius: 100px; font-size: 11px; font-weight: 700; color: #475569; box-shadow: 0 2px 8px rgba(0,0,0,0.02); }
/* Content List Sync */
.task-items-final { padding: 0 16px; display: flex; flex-direction: column; gap: 8px; }
.task-item-final { background: rgba(255, 255, 255, 0.95); border: 1px solid rgba(0,0,0,0.04); border-radius: 18px; padding: 14px 16px; display: flex; gap: 14px; align-items: center; }
.check-circle { width: 22px; height: 22px; border-radius: 50%; border: 2px solid #e2e8f0; }
.item-title { font-size: 15px; font-weight: 700; color: #122033; margin-bottom: 4px; }
.item-meta { display: flex; gap: 10px; align-items: center; }
.q-pill { font-size: 10px; font-weight: 800; padding: 1px 8px; border-radius: 4px; }
.time-pill { font-size: 10px; color: #94a3b8; display: flex; align-items: center; gap: 4px; font-weight: 500; }
.btn-more-final { width: calc(100% - 32px); margin: 16px 16px 20px; padding: 12px; border: none; background: rgba(255, 255, 255, 0.6); border-radius: 14px; font-size: 13px; font-weight: 800; color: #475569; cursor: pointer; transition: all 0.2s; }
.btn-more-final:hover { background: white; }
/* Receipt Card Refinement */
.receipt-inner { padding: 24px; display: flex; flex-direction: column; gap: 20px; }
.receipt-header-final { display: flex; gap: 14px; align-items: center; }
.success-ring-v3 { width: 44px; height: 44px; border-radius: 50%; display: flex; align-items: center; justify-content: center; flex-shrink: 0; }
.success-msg { display: flex; flex-direction: column; }
.success-msg strong { font-size: 15px; font-weight: 850; color: #0f172a; }
.success-msg span { font-size: 12px; color: #64748b; font-weight: 500; }
.receipt-task-card { background: rgba(255, 255, 255, 0.95); border: 1px solid rgba(0,0,0,0.03); border-radius: 20px; padding: 20px; box-shadow: 0 4px 12px rgba(0,0,0,0.01); }
.task-card-title { font-size: 17px; font-weight: 800; color: #1e293b; margin-bottom: 12px; line-height: 1.4; }
.task-card-footer { display: flex; justify-content: space-between; font-size: 11px; font-weight: 600; color: #94a3b8; border-top: 1px solid #f1f5f9; padding-top: 10px; }
.receipt-actions-final { display: grid; grid-template-columns: 1fr 1fr; gap: 10px; }
.btn-action-outline { height: 42px; border: 1px solid #e2e8f0; background: white; border-radius: 12px; font-size: 13px; font-weight: 750; color: #475569; cursor: pointer; }
.btn-action-fill { height: 42px; border: none; border-radius: 12px; color: white; font-size: 13px; font-weight: 800; cursor: pointer; box-shadow: 0 8px 20px rgba(0,0,0,0.1); }
/* Responsive */
@media (max-width: 800px) {
.demo-wrapper { flex-direction: column; }
.demo-sidebar { width: 100%; position: static; gap: 20px; }
.tone-btns { grid-template-columns: repeat(4, 1fr); }
.chat-inline-mockup { padding: 20px; border-radius: 24px; }
}
</style>