feat: Enhance AI Agent and Channel Management

- Updated labels in the AI Agents dashboard for clarity, changing "流程状态" to "Playbook 状态" and "未发布流程" to "未发布 Playbook".
- Introduced AI Agent rollout percentage management in channel editing, allowing users to set and rollback rollout percentages.
- Added new API endpoints for rolling back AI Agent rollout and fetching agent run metrics.
- Implemented new UI components for displaying agent run details, including status, duration, and input/output tokens.
- Enhanced type definitions for AdminChannel and AIAgent to include rollout percentages and runtime modes.
- Updated navigation to include a section for agent runs.
- Added new translations for agent run features in both English and Chinese.

internal/ai/application/runtime/application_service.go

@@ -0,0 +1,106 @@
+package runtime
+
+import (
+	"context"
+	"strings"
+
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/errorsx"
+	svc "agent-desk/internal/services"
+)
+
+// ApplicationRunInput identifies the persisted inputs for an Agent reply.
+// Loading these records here keeps channels and debug adapters independent of
+// individual engine requirements.
+type ApplicationRunInput struct {
+	ConversationID int64
+	MessageID      int64
+	AIAgentID      int64
+}
+
+type ApplicationResumeInput struct {
+	ApplicationRunInput
+	CheckPointID string
+	ResumeData   map[string]string
+}
+
+// AgentApplicationService is the single application boundary before engine
+// dispatch. It owns persisted input loading and relationship validation; the
+// selected Engine remains responsible only for runtime execution.
+type AgentApplicationService struct {
+	runtime *Service
+}
+
+var DefaultAgentApplicationService = NewAgentApplicationService()
+
+func NewAgentApplicationService() *AgentApplicationService {
+	return &AgentApplicationService{runtime: NewService()}
+}
+
+func (s *AgentApplicationService) Run(ctx context.Context, input ApplicationRunInput) (*RunResult, error) {
+	req, err := s.loadRequest(input)
+	if err != nil {
+		return nil, err
+	}
+	return s.RunPrepared(ctx, req)
+}
+
+// RunPrepared is for isolated adapters such as the dashboard debug session.
+// Callers are responsible for constructing an ephemeral or already-validated
+// request; no persistence side effects are introduced by this boundary.
+func (s *AgentApplicationService) RunPrepared(ctx context.Context, req RunInput) (*RunResult, error) {
+	return s.runtime.Run(ctx, req)
+}
+
+func (s *AgentApplicationService) Resume(ctx context.Context, input ApplicationResumeInput) (*RunResult, error) {
+	req, err := s.loadRequest(input.ApplicationRunInput)
+	if err != nil {
+		return nil, err
+	}
+	checkPointID := strings.TrimSpace(input.CheckPointID)
+	interrupt := svc.ConversationInterruptService.GetByCheckPointID(checkPointID)
+	if interrupt == nil || interrupt.ConversationID != req.Conversation.ID {
+		return nil, errorsx.InvalidParam("pending conversation interrupt does not exist")
+	}
+	if interrupt.AIAgentID > 0 && interrupt.AIAgentID != req.AIAgent.ID {
+		return nil, errorsx.InvalidParam("interrupt does not belong to agent")
+	}
+	return s.ResumePrepared(ctx, ResumeInput{
+		Conversation: req.Conversation,
+		UserMessage:  req.UserMessage,
+		AIAgent:      req.AIAgent,
+		AIConfig:     req.AIConfig,
+		CheckPointID: checkPointID,
+		ResumeData:   input.ResumeData,
+	})
+}
+
+func (s *AgentApplicationService) ResumePrepared(ctx context.Context, req ResumeInput) (*RunResult, error) {
+	return s.runtime.Resume(ctx, req)
+}
+
+func (s *AgentApplicationService) loadRequest(input ApplicationRunInput) (RunInput, error) {
+	if input.ConversationID <= 0 || input.MessageID <= 0 || input.AIAgentID <= 0 {
+		return RunInput{}, errorsx.InvalidParam("conversation, message and agent are required")
+	}
+	conversation := svc.ConversationService.Get(input.ConversationID)
+	if conversation == nil {
+		return RunInput{}, errorsx.InvalidParam("conversation does not exist")
+	}
+	message := svc.MessageService.Get(input.MessageID)
+	if message == nil || message.ConversationID != conversation.ID {
+		return RunInput{}, errorsx.InvalidParam("message does not belong to conversation")
+	}
+	agent := svc.AIAgentService.Get(input.AIAgentID)
+	if agent == nil || agent.Status != enums.StatusOk {
+		return RunInput{}, errorsx.InvalidParam("ai agent is unavailable")
+	}
+	if conversation.AIAgentID > 0 && conversation.AIAgentID != agent.ID {
+		return RunInput{}, errorsx.InvalidParam("agent does not belong to conversation")
+	}
+	config := svc.AIConfigService.Get(agent.AIConfigID)
+	if config == nil || config.Status != enums.StatusOk {
+		return RunInput{}, errorsx.InvalidParam("ai config is unavailable")
+	}
+	return RunInput{Conversation: *conversation, UserMessage: *message, AIAgent: *agent, AIConfig: *config}, nil
+}

internal/ai/application/runtime/application_service_test.go

@@ -0,0 +1,54 @@
+package runtime
+
+import (
+	"strings"
+	"testing"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/enums"
+
+	"github.com/glebarez/sqlite"
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+)
+
+func TestAgentApplicationServiceLoadsConsistentPersistedRequest(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AIConfig{}, &models.AIAgent{}, &models.Conversation{}, &models.Message{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	config := &models.AIConfig{Status: enums.StatusOk, ModelName: "test-model"}
+	if err := db.Create(config).Error; err != nil {
+		t.Fatalf("create config: %v", err)
+	}
+	agent := &models.AIAgent{Name: "agent", Status: enums.StatusOk, AIConfigID: config.ID}
+	if err := db.Create(agent).Error; err != nil {
+		t.Fatalf("create agent: %v", err)
+	}
+	conversation := &models.Conversation{AIAgentID: agent.ID}
+	if err := db.Create(conversation).Error; err != nil {
+		t.Fatalf("create conversation: %v", err)
+	}
+	message := &models.Message{ConversationID: conversation.ID, SenderType: enums.IMSenderTypeCustomer, MessageType: enums.IMMessageTypeText, Content: "hello"}
+	if err := db.Create(message).Error; err != nil {
+		t.Fatalf("create message: %v", err)
+	}
+	req, err := NewAgentApplicationService().loadRequest(ApplicationRunInput{ConversationID: conversation.ID, MessageID: message.ID, AIAgentID: agent.ID})
+	if err != nil {
+		t.Fatalf("loadRequest: %v", err)
+	}
+	if req.Conversation.ID != conversation.ID || req.UserMessage.ID != message.ID || req.AIAgent.ID != agent.ID || req.AIConfig.ID != config.ID {
+		t.Fatalf("unexpected request: %#v", req)
+	}
+}
+
+func TestAgentApplicationServiceRejectsMismatchedMessage(t *testing.T) {
+	service := NewAgentApplicationService()
+	if _, err := service.loadRequest(ApplicationRunInput{ConversationID: 1, MessageID: 0, AIAgentID: 1}); err == nil {
+		t.Fatal("expected invalid identifiers error")
+	}
+}

internal/ai/application/runtime/autonomous_engine.go

@@ -0,0 +1,688 @@
+package runtime
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"strconv"
+	"strings"
+	"time"
+
+	ai "agent-desk/internal/ai"
+	"agent-desk/internal/ai/runtime/instruction"
+	"agent-desk/internal/ai/runtime/readtools"
+	"agent-desk/internal/ai/runtime/retrievers"
+	runtimetooling "agent-desk/internal/ai/runtime/tooling"
+	"agent-desk/internal/ai/skills"
+	aitooling "agent-desk/internal/ai/tooling"
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/errorsx"
+	"agent-desk/internal/pkg/toolx"
+	"agent-desk/internal/pkg/utils"
+	svc "agent-desk/internal/services"
+
+	"github.com/mlogclub/simple/sqls"
+)
+
+// AutonomousEngine is the low-risk, no-flow runtime. It uses bounded model
+// turns and exposes configured MCP tools only through the shared Tool Registry.
+type AutonomousEngine struct {
+	chat        func(context.Context, models.AIConfig, string, string) (*ai.ChatCompletionResult, error)
+	history     func(int64, int) []models.Message
+	retrieve    func(context.Context, models.AIAgent, string) (string, int, error)
+	skillSelect func(context.Context, skills.RuntimeContext) (*skills.ExecutionResult, error)
+	toolChat    func(context.Context, models.AIConfig, string, string, []ai.ToolDefinition, int, ai.ToolCallExecutor) (*ai.ToolLoopResult, error)
+}
+
+func NewAutonomousEngine() *AutonomousEngine {
+	return &AutonomousEngine{
+		chat: ai.LLM.ChatWithConfig,
+		history: func(conversationID int64, limit int) []models.Message {
+			items, _, _ := svc.MessageService.FindByConversationIDCursor(conversationID, 0, limit, "", "")
+			return items
+		},
+		retrieve:    retrieveAutonomousKnowledge,
+		skillSelect: skills.RuntimeService.Select,
+		toolChat:    ai.LLM.ChatWithTools,
+	}
+}
+
+func newAutonomousEngineWithChat(chat func(context.Context, models.AIConfig, string, string) (*ai.ChatCompletionResult, error)) *AutonomousEngine {
+	return &AutonomousEngine{chat: chat}
+}
+
+func (e *AutonomousEngine) Code() string {
+	return EngineCodeAutonomous
+}
+
+func (e *AutonomousEngine) Run(ctx context.Context, req RunInput) (*RunResult, error) {
+	startedAt := time.Now()
+	req.UserMessage.Content = utils.BuildRuntimeMessageText(req.UserMessage.MessageType, req.UserMessage.Content)
+	snapshot, err := svc.AgentRevisionService.ResolvePublishedSnapshot(req.AIAgent, req.AIConfig)
+	if err != nil {
+		_, _ = writeAutonomousRun(req, startedAt, nil, "", 0, 0, nil, autonomousSkillContext{}, autonomousResponsePolicy{}, nil, err)
+		return nil, err
+	}
+	req.AIAgent = snapshot.Agent
+	req.AIConfig = snapshot.AIConfig
+	skillContext := e.selectSkill(ctx, req)
+	knowledgeContext, retrieverCount, retrieveErr := e.retrieveKnowledge(ctx, req.AIAgent, req.UserMessage.Content)
+	responsePolicy := evaluateAutonomousResponsePolicy(req.AIAgent, knowledgeContext, retrieveErr)
+	systemPrompt := buildAutonomousSystemPrompt(req.AIAgent, len(utils.SplitInt64s(req.AIAgent.KnowledgeIDs)) > 0, knowledgeContext, retrieveErr)
+	if skillInstruction := strings.TrimSpace(instruction.BuildSkillDocument(skillContext.Skill, nil)); skillInstruction != "" {
+		systemPrompt += "\n\nSkill instructions:\n" + skillInstruction
+	}
+	userPrompt, historyCount := e.buildUserPrompt(req)
+	if knowledgeContext != "" {
+		userPrompt += "\n\nKnowledge evidence:\n" + knowledgeContext
+	}
+	var toolCalls []svc.EngineToolCallInput
+	var result *ai.ChatCompletionResult
+	agentAllowedTools := autonomousAllowedMCPToolCodes(req.AIAgent.AllowedMCPTools)
+	toolPolicy := parseAutonomousToolPolicy(req.AIAgent.ToolPolicy)
+	allowedTools := agentAllowedTools
+	if skillContext.Skill != nil {
+		allowedTools = intersectAutonomousToolCodes(agentAllowedTools, skillContext.AllowedToolCodes)
+	}
+	if req.Debug {
+		// Dashboard debug runs may inspect model and retrieval behavior but must
+		// not invoke direct MCP tools against production integrations.
+		allowedTools = nil
+	}
+	if responsePolicy.Enforced {
+		result = &ai.ChatCompletionResult{Content: responsePolicy.ReplyText, ModelName: req.AIConfig.ModelName}
+	} else if len(allowedTools) > 0 && e.toolChat != nil {
+		loopResult, loopErr := e.toolChat(ctx, req.AIConfig, systemPrompt, userPrompt, []ai.ToolDefinition{autonomousToolSearchDefinition()}, req.AIAgent.MaxSteps, e.toolSearchExecutor(req.Conversation, req.AIAgent, agentAllowedTools, skillContext.AllowedToolCodes, toolPolicy, &toolCalls))
+		if loopErr != nil {
+			if len(toolCalls) == 0 {
+				err := loopErr
+				_, _ = writeAutonomousRun(req, startedAt, nil, userPrompt, historyCount, retrieverCount, retrieveErr, skillContext, responsePolicy, toolCalls, err)
+				return nil, err
+			}
+			responsePolicy = autonomousToolFailurePolicy(req.AIAgent, "tool_loop_error")
+			result = &ai.ChatCompletionResult{Content: responsePolicy.ReplyText, ModelName: req.AIConfig.ModelName}
+		}
+		if result == nil && loopResult != nil {
+			result = &loopResult.ChatCompletionResult
+		}
+		if autonomousHasConsecutiveToolFailures(toolCalls, 2) {
+			responsePolicy = autonomousToolFailurePolicy(req.AIAgent, "tool_consecutive_failures")
+			result = &ai.ChatCompletionResult{Content: responsePolicy.ReplyText, ModelName: req.AIConfig.ModelName}
+		}
+	} else {
+		result, err = e.chat(ctx, req.AIConfig, systemPrompt, userPrompt)
+	}
+	if err != nil {
+		_, _ = writeAutonomousRun(req, startedAt, nil, userPrompt, historyCount, retrieverCount, retrieveErr, skillContext, responsePolicy, toolCalls, err)
+		return nil, err
+	}
+	if result == nil || strings.TrimSpace(result.Content) == "" {
+		err = errorsx.InvalidParam("autonomous engine returned an empty reply")
+		_, _ = writeAutonomousRun(req, startedAt, nil, userPrompt, historyCount, retrieverCount, retrieveErr, skillContext, responsePolicy, toolCalls, err)
+		return nil, err
+	}
+	result.Content, err = aitooling.NormalizeCustomerReply(result.Content)
+	if err != nil {
+		_, _ = writeAutonomousRun(req, startedAt, nil, userPrompt, historyCount, retrieverCount, retrieveErr, skillContext, responsePolicy, toolCalls, err)
+		return nil, err
+	}
+	runID, recordErr := writeAutonomousRun(req, startedAt, result, userPrompt, historyCount, retrieverCount, retrieveErr, skillContext, responsePolicy, toolCalls, nil)
+	if recordErr != nil {
+		return nil, recordErr
+	}
+	trace, _ := json.Marshal(map[string]any{
+		"engine":               EngineCodeAutonomous,
+		"mode":                 autonomousExecutionMode(allowedTools),
+		"historyMessageCount":  historyCount,
+		"retrieverCount":       retrieverCount,
+		"skillID":              skillContext.SkillID(),
+		"skillRouteError":      skillContext.ErrorMessage,
+		"responsePolicyAction": responsePolicy.Action,
+		"debug":                req.Debug,
+	})
+	return &Summary{
+		Status:                "completed",
+		ReplyText:             strings.TrimSpace(result.Content),
+		ModelName:             result.ModelName,
+		PromptTokens:          result.PromptTokens,
+		CompletionTokens:      result.CompletionTokens,
+		HistoryMessageCount:   historyCount,
+		RetrieverCount:        retrieverCount,
+		PlannedSkillID:        skillContext.SkillID(),
+		PlannedSkillName:      skillContext.SkillName(),
+		PlanReason:            skillContext.MatchReason,
+		SkillRouteTrace:       skillContext.TraceData,
+		SkillAllowedToolCodes: append([]string(nil), skillContext.AllowedToolCodes...),
+		AgentRunID:            runID,
+		HandoffRequested:      responsePolicy.RequestHandoff && !req.Debug,
+		TraceData:             string(trace),
+	}, nil
+}
+
+func (e *AutonomousEngine) buildUserPrompt(req Request) (string, int) {
+	limit := req.AIAgent.ContextWindow
+	if limit <= 0 {
+		limit = 12
+	}
+	if limit > 20 {
+		limit = 20
+	}
+	items := []models.Message(nil)
+	if e.history != nil && req.Conversation.ID > 0 {
+		// The triggering customer message is already persisted in most reply
+		// paths. Fetch one extra item so it does not consume history capacity.
+		items = e.history(req.Conversation.ID, limit+1)
+	}
+	lines := make([]string, 0, len(items)+2)
+	for _, item := range items {
+		if item.ID == req.UserMessage.ID || strings.TrimSpace(item.Content) == "" {
+			continue
+		}
+		role := autonomousMessageRole(item)
+		if role == "" {
+			continue
+		}
+		lines = append(lines, role+": "+utils.BuildRuntimeMessageText(item.MessageType, item.Content))
+	}
+	if len(lines) > limit {
+		lines = lines[len(lines)-limit:]
+	}
+	current := strings.TrimSpace(req.UserMessage.Content)
+	customerContext := buildAutonomousCustomerContext(req.Conversation)
+	if len(lines) == 0 && customerContext == "" {
+		return current, 0
+	}
+	parts := make([]string, 0, 3)
+	if customerContext != "" {
+		parts = append(parts, "Customer context:\n"+customerContext)
+	}
+	if len(lines) > 0 {
+		parts = append(parts, "Conversation history:\n"+strings.Join(lines, "\n"))
+	}
+	parts = append(parts, "Current customer message:\n"+current)
+	return strings.Join(parts, "\n\n"), len(lines)
+}
+
+func buildAutonomousCustomerContext(conversation models.Conversation) string {
+	parts := make([]string, 0, 2)
+	if name := strings.TrimSpace(conversation.CustomerName); name != "" {
+		parts = append(parts, "Customer: "+name)
+	}
+	if summary := strings.TrimSpace(conversation.LastMessageSummary); summary != "" {
+		parts = append(parts, "Recent summary: "+summary)
+	}
+	return strings.Join(parts, "\n")
+}
+
+func autonomousMessageRole(message models.Message) string {
+	switch message.SenderType {
+	case "customer":
+		return "Customer"
+	case "ai", "agent":
+		return "Assistant"
+	default:
+		return ""
+	}
+}
+
+func (e *AutonomousEngine) Resume(ctx context.Context, req ResumeInput) (*RunResult, error) {
+	return nil, errorsx.InvalidParam("autonomous agent has no resumable checkpoint")
+}
+
+func (e *AutonomousEngine) retrieveKnowledge(ctx context.Context, agent models.AIAgent, query string) (string, int, error) {
+	if e.retrieve == nil || len(utils.SplitInt64s(agent.KnowledgeIDs)) == 0 {
+		return "", 0, nil
+	}
+	return e.retrieve(ctx, agent, query)
+}
+
+type autonomousSkillContext struct {
+	Skill            *models.SkillDefinition
+	MatchReason      string
+	TraceData        string
+	ErrorMessage     string
+	AllowedToolCodes []string
+}
+
+type autonomousResponsePolicy struct {
+	Enforced       bool
+	Action         string
+	Reason         string
+	ReplyText      string
+	RequestHandoff bool
+}
+
+func evaluateAutonomousResponsePolicy(agent models.AIAgent, knowledgeContext string, retrieveErr error) autonomousResponsePolicy {
+	if len(utils.SplitInt64s(agent.KnowledgeIDs)) == 0 || strings.TrimSpace(knowledgeContext) != "" && retrieveErr == nil {
+		return autonomousResponsePolicy{}
+	}
+	if retrieveErr != nil {
+		return autonomousKnowledgeFallbackPolicy(agent, "knowledge_retrieve_error")
+	}
+	return autonomousKnowledgeFallbackPolicy(agent, "knowledge_evidence_missing")
+}
+
+func autonomousKnowledgeFallbackPolicy(agent models.AIAgent, reason string) autonomousResponsePolicy {
+	if agent.FallbackMode == enums.AIAgentFallbackModeHandoff {
+		return autonomousResponsePolicy{
+			Enforced: true, Action: "handoff", Reason: reason, RequestHandoff: true,
+			ReplyText: autonomousKnowledgeFallbackReply(agent),
+		}
+	}
+	return autonomousResponsePolicy{
+		Enforced: true, Action: "clarify", Reason: reason,
+		ReplyText: autonomousKnowledgeFallbackReply(agent),
+	}
+}
+
+func autonomousToolFailurePolicy(agent models.AIAgent, reason string) autonomousResponsePolicy {
+	if agent.FallbackMode == enums.AIAgentFallbackModeHandoff {
+		return autonomousResponsePolicy{
+			Enforced: true, Action: "handoff", Reason: reason, RequestHandoff: true,
+			ReplyText: autonomousToolFailureReply(agent),
+		}
+	}
+	return autonomousResponsePolicy{
+		Enforced: true, Action: "clarify", Reason: reason,
+		ReplyText: autonomousToolFailureReply(agent),
+	}
+}
+
+func autonomousToolFailureReply(agent models.AIAgent) string {
+	if reply := strings.TrimSpace(agent.FallbackMessage); reply != "" {
+		return reply
+	}
+	if agent.FallbackMode == enums.AIAgentFallbackModeHandoff {
+		return "暂时无法完成所需查询，正在为你转接人工客服。"
+	}
+	return "暂时无法完成所需查询，请补充更具体的信息后再试一次。"
+}
+
+func autonomousHasConsecutiveToolFailures(calls []svc.EngineToolCallInput, minimum int) bool {
+	if minimum <= 0 {
+		return false
+	}
+	failures := 0
+	for index := len(calls) - 1; index >= 0; index-- {
+		if calls[index].Status != "failed" {
+			break
+		}
+		failures++
+	}
+	return failures >= minimum
+}
+
+func autonomousKnowledgeFallbackReply(agent models.AIAgent) string {
+	if reply := strings.TrimSpace(agent.FallbackMessage); reply != "" {
+		return reply
+	}
+	if agent.FallbackMode == 0 || agent.FallbackMode == enums.AIAgentFallbackModeSuggestRetry {
+		return "当前知识库里没有找到足够明确的信息，你可以换个更具体的问法再试一次。"
+	}
+	if agent.FallbackMode == enums.AIAgentFallbackModeHandoff {
+		return "当前知识库没有足够明确的信息，正在为你转接人工客服。"
+	}
+	return "当前知识库暂无明确信息。"
+}
+
+func (c autonomousSkillContext) SkillID() int64 {
+	if c.Skill == nil {
+		return 0
+	}
+	return c.Skill.ID
+}
+
+func (c autonomousSkillContext) SkillName() string {
+	if c.Skill == nil {
+		return ""
+	}
+	return strings.TrimSpace(c.Skill.Name)
+}
+
+func (e *AutonomousEngine) selectSkill(ctx context.Context, req Request) autonomousSkillContext {
+	if e.skillSelect == nil || len(utils.SplitInt64s(req.AIAgent.SkillIDs)) == 0 {
+		return autonomousSkillContext{}
+	}
+	result, err := e.skillSelect(ctx, skills.RuntimeContext{
+		AIAgent: req.AIAgent, AIConfig: req.AIConfig, UserMessage: req.UserMessage.Content, ConversationID: req.Conversation.ID,
+	})
+	ret := autonomousSkillContext{}
+	if err != nil {
+		ret.ErrorMessage = err.Error()
+		return ret
+	}
+	if result == nil || result.Plan == nil {
+		return ret
+	}
+	ret.Skill = result.Plan.Skill
+	ret.MatchReason = strings.TrimSpace(result.Plan.MatchReason)
+	if result.Trace != nil {
+		data, _ := json.Marshal(result.Trace)
+		ret.TraceData = string(data)
+	}
+	if ret.Skill != nil {
+		ret.AllowedToolCodes = parseSkillToolWhitelist(ret.Skill.ToolWhitelist)
+	}
+	return ret
+}
+
+func parseSkillToolWhitelist(raw string) []string {
+	var items []string
+	if json.Unmarshal([]byte(strings.TrimSpace(raw)), &items) != nil {
+		return nil
+	}
+	ret := make([]string, 0, len(items))
+	seen := make(map[string]struct{}, len(items))
+	for _, item := range items {
+		item = toolx.NormalizeToolCodeAlias(strings.TrimSpace(item))
+		if item == "" {
+			continue
+		}
+		if _, exists := seen[item]; exists {
+			continue
+		}
+		seen[item] = struct{}{}
+		ret = append(ret, item)
+	}
+	return ret
+}
+
+func intersectAutonomousToolCodes(agentAllowed, skillAllowed []string) []string {
+	if len(agentAllowed) == 0 || len(skillAllowed) == 0 {
+		return nil
+	}
+	allowed := make(map[string]struct{}, len(skillAllowed))
+	for _, item := range skillAllowed {
+		allowed[toolx.NormalizeToolCodeAlias(strings.TrimSpace(item))] = struct{}{}
+	}
+	ret := make([]string, 0, len(agentAllowed))
+	for _, item := range agentAllowed {
+		item = toolx.NormalizeToolCodeAlias(strings.TrimSpace(item))
+		if _, ok := allowed[item]; ok {
+			ret = append(ret, item)
+		}
+	}
+	return ret
+}
+
+type autonomousDirectTool struct {
+	ToolCode string `json:"toolCode"`
+}
+
+type autonomousToolSearchRequest struct {
+	ToolCode  string         `json:"toolCode"`
+	Arguments map[string]any `json:"arguments"`
+}
+
+type autonomousToolPolicy struct {
+	MaxTotalCalls     int      `json:"maxTotalCalls"`
+	MaxArgumentBytes  int      `json:"maxArgumentBytes"`
+	AllowedRiskLevels []string `json:"allowedRiskLevels"`
+}
+
+func parseAutonomousToolPolicy(raw string) autonomousToolPolicy {
+	policy := autonomousToolPolicy{MaxTotalCalls: 3, MaxArgumentBytes: 32 * 1024}
+	if json.Unmarshal([]byte(strings.TrimSpace(raw)), &policy) != nil {
+		return policy
+	}
+	if policy.MaxTotalCalls <= 0 || policy.MaxTotalCalls > 8 {
+		policy.MaxTotalCalls = 3
+	}
+	if policy.MaxArgumentBytes <= 0 || policy.MaxArgumentBytes > 64*1024 {
+		policy.MaxArgumentBytes = 32 * 1024
+	}
+	return policy
+}
+
+func autonomousAllowedMCPToolCodes(raw string) []string {
+	var items []autonomousDirectTool
+	if json.Unmarshal([]byte(strings.TrimSpace(raw)), &items) != nil {
+		return nil
+	}
+	ret := make([]string, 0, len(items))
+	for _, item := range items {
+		if code := strings.TrimSpace(item.ToolCode); code != "" {
+			ret = append(ret, code)
+		}
+	}
+	return ret
+}
+
+func autonomousToolSearchDefinition() ai.ToolDefinition {
+	return ai.ToolDefinition{
+		Name:        "tool_search",
+		Description: "Use a configured read-only tool only when it is needed to answer the customer. Pass the exact allowed toolCode and an arguments object.",
+		Parameters: map[string]any{
+			"type": "object",
+			"properties": map[string]any{
+				"toolCode":  map[string]any{"type": "string"},
+				"arguments": map[string]any{"type": "object"},
+			},
+			"required": []string{"toolCode", "arguments"},
+		},
+	}
+}
+
+func (e *AutonomousEngine) toolSearchExecutor(conversation models.Conversation, agent models.AIAgent, allowedCodes, skillAllowedCodes []string, toolPolicy autonomousToolPolicy, records *[]svc.EngineToolCallInput) ai.ToolCallExecutor {
+	return func(ctx context.Context, call ai.ToolCall) (string, error) {
+		startedAt := time.Now()
+		if call.Name != "tool_search" {
+			return "", fmt.Errorf("unsupported autonomous tool: %s", call.Name)
+		}
+		var req autonomousToolSearchRequest
+		if err := json.Unmarshal([]byte(call.Arguments), &req); err != nil {
+			return "", fmt.Errorf("invalid tool_search arguments: %w", err)
+		}
+		policy := aitooling.Policy{
+			AllowedToolCodes: allowedCodes, SkillAllowedToolCodes: skillAllowedCodes, AllowedRiskLevels: toolPolicy.AllowedRiskLevels,
+			CallCount:        autonomousToolCallCount(*records, req.ToolCode),
+			TotalCallCount:   len(*records),
+			MaxTotalCalls:    toolPolicy.MaxTotalCalls,
+			MaxArgumentBytes: toolPolicy.MaxArgumentBytes,
+			Confirmed:        true, // The Agent's persisted allow-list is the administrator approval boundary.
+		}
+		definition, resultPreview, err := executeAutonomousReadTool(ctx, conversation, agent, strings.TrimSpace(req.ToolCode), req.Arguments, policy)
+		if err != nil && definition.Code == "" {
+			mcpDefinition, result, mcpErr := aitooling.DefaultMCPExecutor.Execute(ctx, strings.TrimSpace(req.ToolCode), req.Arguments, policy)
+			definition, err = mcpDefinition, mcpErr
+			resultPreview = runtimetooling.BuildReducedToolResultSummary(result)
+		}
+		durationMS := int(time.Since(startedAt).Milliseconds())
+		record := svc.EngineToolCallInput{
+			ToolCode: strings.TrimSpace(req.ToolCode), Status: "completed", ArgumentsPreview: aitooling.SanitizePreview(call.Arguments), DurationMS: durationMS,
+		}
+		if definition.Code != "" {
+			record.ToolCode = definition.Code
+			record.RiskLevel = definition.RiskLevel
+			record.RequireConfirm = definition.RequireConfirmation
+		}
+		if err != nil {
+			record.Status = "failed"
+			record.ErrorMessage = err.Error()
+			*records = append(*records, record)
+			return "", err
+		}
+		record.ResultPreview = aitooling.SanitizePreview(resultPreview)
+		*records = append(*records, record)
+		return record.ResultPreview, nil
+	}
+}
+
+func executeAutonomousReadTool(ctx context.Context, conversation models.Conversation, agent models.AIAgent, toolCode string, arguments map[string]any, policy aitooling.Policy) (aitooling.Definition, string, error) {
+	toolCode = toolx.NormalizeToolCodeAlias(strings.TrimSpace(toolCode))
+	if toolCode != toolx.BuiltinConversationContext.Code && toolCode != toolx.BuiltinKnowledgeRetrieve.Code && toolCode != toolx.GraphTriageServiceRequest.Code && toolCode != toolx.GraphAnalyzeConversation.Code && toolCode != toolx.GraphPrepareTicketDraft.Code {
+		return aitooling.Definition{}, "", fmt.Errorf("tool is not a built-in read tool")
+	}
+	if toolCode == toolx.GraphTriageServiceRequest.Code || toolCode == toolx.GraphAnalyzeConversation.Code || toolCode == toolx.GraphPrepareTicketDraft.Code {
+		return readtools.ExecuteGraphTool(ctx, conversation, toolCode, arguments, policy)
+	}
+	definition, err := aitooling.DefaultRegistry.Resolve(toolCode)
+	if err != nil {
+		return aitooling.Definition{}, "", err
+	}
+	if err := aitooling.DefaultRegistry.Authorize(definition, policy); err != nil {
+		return definition, "", err
+	}
+	if definition.TimeoutMS > 0 {
+		var cancel context.CancelFunc
+		ctx, cancel = context.WithTimeout(ctx, time.Duration(definition.TimeoutMS)*time.Millisecond)
+		defer cancel()
+	}
+	if toolCode == toolx.BuiltinKnowledgeRetrieve.Code {
+		query, _ := arguments["query"].(string)
+		contextText, count, err := retrieveAutonomousKnowledge(ctx, agent, query)
+		if err != nil {
+			return definition, "", err
+		}
+		result, err := json.Marshal(map[string]any{"query": strings.TrimSpace(query), "resultCount": count, "context": contextText})
+		return definition, string(result), err
+	}
+	result, err := json.Marshal(map[string]any{
+		"conversationId":     conversation.ID,
+		"customerName":       strings.TrimSpace(conversation.CustomerName),
+		"lastMessageSummary": strings.TrimSpace(conversation.LastMessageSummary),
+		"currentAssigneeId":  conversation.CurrentAssigneeID,
+		"recentMessages":     autonomousToolConversationMessages(conversation.ID),
+	})
+	if err != nil {
+		return definition, "", err
+	}
+	return definition, string(result), nil
+}
+
+func autonomousToolConversationMessages(conversationID int64) []map[string]string {
+	if conversationID <= 0 {
+		return []map[string]string{}
+	}
+	items, _, _ := svc.MessageService.FindByConversationIDCursor(conversationID, 0, 6, "", "")
+	ret := make([]map[string]string, 0, len(items))
+	for _, item := range items {
+		role := autonomousMessageRole(item)
+		content := strings.TrimSpace(utils.BuildRuntimeMessageText(item.MessageType, item.Content))
+		if role == "" || content == "" {
+			continue
+		}
+		if runes := []rune(content); len(runes) > 240 {
+			content = string(runes[:240]) + "..."
+		}
+		ret = append(ret, map[string]string{"role": role, "content": content})
+	}
+	return ret
+}
+
+func autonomousToolCallCount(records []svc.EngineToolCallInput, toolCode string) int {
+	toolCode = toolx.NormalizeToolCodeAlias(strings.TrimSpace(toolCode))
+	count := 0
+	for _, item := range records {
+		if toolx.NormalizeToolCodeAlias(strings.TrimSpace(item.ToolCode)) == toolCode {
+			count++
+		}
+	}
+	return count
+}
+
+func retrieveAutonomousKnowledge(ctx context.Context, agent models.AIAgent, query string) (string, int, error) {
+	retrieved, err := retrievers.NewKnowledgeRetriever(agent, utils.SplitInt64s(agent.KnowledgeIDs)).RetrieveContext(ctx, query)
+	if err != nil {
+		return "", 0, err
+	}
+	if retrieved == nil {
+		return "", 0, nil
+	}
+	return strings.TrimSpace(retrieved.ContextText), len(retrieved.ContextResults), nil
+}
+
+func buildAutonomousSystemPrompt(agent models.AIAgent, hasKnowledgeBase bool, knowledgeContext string, retrieveErr error) string {
+	prompt := strings.TrimSpace(agent.SystemPrompt)
+	if prompt == "" {
+		prompt = "You are a customer service assistant. Answer accurately, ask for clarification when evidence is insufficient, and do not invent facts."
+	}
+	if hasKnowledgeBase && strings.TrimSpace(knowledgeContext) == "" {
+		prompt += "\n\nNo supporting knowledge was retrieved. Do not invent an answer; ask a focused clarification question or offer human handoff."
+	}
+	if retrieveErr != nil {
+		prompt += "\n\nKnowledge retrieval is temporarily unavailable. Do not claim to have verified any policy or factual detail."
+	}
+	return prompt
+}
+
+func writeAutonomousRun(req Request, startedAt time.Time, result *ai.ChatCompletionResult, inputPreview string, historyCount int, retrieverCount int, retrieveErr error, skillContext autonomousSkillContext, responsePolicy autonomousResponsePolicy, toolCalls []svc.EngineToolCallInput, cause error) (int64, error) {
+	endedAt := time.Now()
+	status := "completed"
+	errorMessage := ""
+	outputPreview := ""
+	promptTokens := 0
+	completionTokens := 0
+	if cause != nil {
+		status = "failed"
+		errorMessage = cause.Error()
+	} else if result != nil {
+		outputPreview = strings.TrimSpace(result.Content)
+		promptTokens = result.PromptTokens
+		completionTokens = result.CompletionTokens
+	}
+	trace, _ := json.Marshal(map[string]any{"engine": EngineCodeAutonomous, "mode": autonomousExecutionMode(autonomousAllowedMCPToolCodes(req.AIAgent.AllowedMCPTools)), "status": status, "historyMessageCount": historyCount, "retrieverCount": retrieverCount})
+	var runID int64
+	err := sqls.WithTransaction(func(tx *sqls.TxContext) error {
+		var recordErr error
+		runID, recordErr = svc.AgentRunService.RecordEngineRun(tx.Tx, svc.EngineAgentRunInput{
+			ConversationID: req.Conversation.ID, AIAgentID: req.AIAgent.ID, AgentRevisionID: req.AIAgent.PublishedRevisionID,
+			SourceMessageID: req.UserMessage.ID, EngineCode: EngineCodeAutonomous, Status: status,
+			PromptTokens: promptTokens, CompletionTokens: completionTokens, StartedAt: startedAt, EndedAt: &endedAt,
+			ErrorMessage: errorMessage, TraceData: string(trace), StepType: "model", StepCode: "chat_completion",
+			StepInputPreview: strings.TrimSpace(inputPreview), StepOutputPreview: outputPreview,
+			AdditionalSteps: autonomousAdditionalSteps(req, retrieverCount, retrieveErr, skillContext, responsePolicy),
+			ToolCalls:       toolCalls,
+		})
+		return recordErr
+	})
+	return runID, err
+}
+
+func autonomousExecutionMode(allowedTools []string) string {
+	if len(allowedTools) > 0 {
+		return "tool_calling_loop"
+	}
+	return "single_model_turn"
+}
+
+func autonomousAdditionalSteps(req Request, retrieverCount int, retrieveErr error, skillContext autonomousSkillContext, responsePolicy autonomousResponsePolicy) []svc.EngineStepInput {
+	steps := make([]svc.EngineStepInput, 0, 3)
+	if len(utils.SplitInt64s(req.AIAgent.SkillIDs)) > 0 {
+		status := "completed"
+		if skillContext.ErrorMessage != "" {
+			status = "failed"
+		}
+		steps = append(steps, svc.EngineStepInput{
+			StepType: "skill_route", StepCode: "skill_select", Status: status,
+			InputPreview: strings.TrimSpace(req.UserMessage.Content), OutputPreview: "selected skill: " + skillContext.SkillName(),
+			ErrorMessage: skillContext.ErrorMessage,
+		})
+	}
+	if len(utils.SplitInt64s(req.AIAgent.KnowledgeIDs)) > 0 {
+		status := "completed"
+		errorMessage := ""
+		if retrieveErr != nil {
+			status = "failed"
+			errorMessage = retrieveErr.Error()
+		}
+		steps = append(steps, svc.EngineStepInput{
+			StepType: "knowledge", StepCode: "knowledge_retrieve", Status: status,
+			InputPreview: strings.TrimSpace(req.UserMessage.Content), OutputPreview: "retrieved context items: " + strconv.Itoa(retrieverCount), ErrorMessage: errorMessage,
+		})
+	}
+	if responsePolicy.Enforced {
+		policyCode := "knowledge_evidence"
+		if strings.HasPrefix(responsePolicy.Reason, "tool_") {
+			policyCode = "tool_failure"
+		}
+		steps = append(steps, svc.EngineStepInput{
+			StepType: "policy", StepCode: policyCode, Status: "completed",
+			InputPreview: responsePolicy.Reason, OutputPreview: responsePolicy.Action,
+		})
+	}
+	return steps
+}
+
+var _ Engine = (*AutonomousEngine)(nil)

internal/ai/application/runtime/einoexperiment/confirmation_bridge.go

@@ -0,0 +1,102 @@
+package einoexperiment
+
+import (
+	"crypto/sha256"
+	"encoding/hex"
+	"encoding/json"
+	"fmt"
+	"strings"
+
+	applicationruntime "agent-desk/internal/ai/application/runtime"
+	"agent-desk/internal/ai/runtime/graphs"
+)
+
+const confirmationInterruptType = "human_confirm"
+
+// ConfirmationRequest represents a high-risk Eino tool action that must pause
+// at AgentDesk's existing conversation-interrupt boundary.
+type ConfirmationRequest struct {
+	InterruptID string
+	ToolCode    string
+	Prompt      string
+	Arguments   map[string]any
+}
+
+type confirmationCheckpoint struct {
+	Version     int            `json:"version"`
+	Engine      string         `json:"engine"`
+	InterruptID string         `json:"interruptId"`
+	ToolCode    string         `json:"toolCode"`
+	Arguments   map[string]any `json:"arguments"`
+}
+
+// BuildConfirmationResult returns the generic interrupted result consumed by
+// replyInterruptService. That service persists ConversationInterrupt from the
+// result, so this package remains independent of database writes.
+func BuildConfirmationResult(input applicationruntime.RunInput, request ConfirmationRequest) (*applicationruntime.RunResult, error) {
+	interruptID := strings.TrimSpace(request.InterruptID)
+	if interruptID == "" {
+		interruptID = "eino_confirm"
+	}
+	toolCode := strings.TrimSpace(request.ToolCode)
+	if toolCode == "" {
+		return nil, fmt.Errorf("confirmation tool code is required")
+	}
+	prompt := strings.TrimSpace(request.Prompt)
+	if prompt == "" {
+		return nil, fmt.Errorf("confirmation prompt is required")
+	}
+	checkpointData, err := json.Marshal(confirmationCheckpoint{
+		Version: 1, Engine: "eino", InterruptID: interruptID, ToolCode: toolCode, Arguments: cloneConfirmationArguments(request.Arguments),
+	})
+	if err != nil {
+		return nil, fmt.Errorf("encode Eino confirmation checkpoint: %w", err)
+	}
+	return &applicationruntime.RunResult{
+		Status:         "interrupted",
+		Interrupted:    true,
+		CheckPointID:   confirmationCheckpointID(input, interruptID, toolCode, checkpointData),
+		CheckPointData: string(checkpointData),
+		Interrupts: []applicationruntime.InterruptContextSummary{{
+			Type: confirmationInterruptType, ID: interruptID, InfoPreview: string(mustMarshalConfirmationPrompt(prompt)),
+		}},
+	}, nil
+}
+
+// ResumeConfirmation reads the generic ResumeInput populated by the existing
+// AgentApplicationService and validates that it belongs to this checkpoint.
+func ResumeConfirmation(checkPointData string, input applicationruntime.ResumeInput) (string, confirmationCheckpoint, error) {
+	checkpoint := confirmationCheckpoint{}
+	if err := json.Unmarshal([]byte(strings.TrimSpace(checkPointData)), &checkpoint); err != nil {
+		return "", checkpoint, fmt.Errorf("decode Eino confirmation checkpoint: %w", err)
+	}
+	if checkpoint.Version != 1 || checkpoint.Engine != "eino" || strings.TrimSpace(checkpoint.InterruptID) == "" || strings.TrimSpace(checkpoint.ToolCode) == "" {
+		return "", checkpoint, fmt.Errorf("invalid Eino confirmation checkpoint")
+	}
+	decision := graphs.ParseConfirmationDecision(strings.TrimSpace(input.ResumeData[checkpoint.InterruptID]))
+	if decision == "" {
+		return "", checkpoint, fmt.Errorf("Eino confirmation decision is required")
+	}
+	return string(decision), checkpoint, nil
+}
+
+func confirmationCheckpointID(input applicationruntime.RunInput, interruptID, toolCode string, data []byte) string {
+	digest := sha256.Sum256(append([]byte(strings.TrimSpace(toolCode)+":"+strings.TrimSpace(interruptID)+":"), data...))
+	return fmt.Sprintf("eino:%d:%d:%s", input.Conversation.ID, input.UserMessage.ID, hex.EncodeToString(digest[:8]))
+}
+
+func cloneConfirmationArguments(input map[string]any) map[string]any {
+	if len(input) == 0 {
+		return map[string]any{}
+	}
+	ret := make(map[string]any, len(input))
+	for key, value := range input {
+		ret[key] = value
+	}
+	return ret
+}
+
+func mustMarshalConfirmationPrompt(prompt string) []byte {
+	data, _ := json.Marshal(map[string]string{"message": prompt})
+	return data
+}

internal/ai/application/runtime/einoexperiment/guarded_tool.go

@@ -0,0 +1,94 @@
+package einoexperiment
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"time"
+
+	aitooling "agent-desk/internal/ai/tooling"
+
+	einotool "github.com/cloudwego/eino/components/tool"
+	"github.com/cloudwego/eino/schema"
+)
+
+// ToolHandler is the adapter point from an approved Eino experiment tool to
+// AgentDesk business services. Production handlers must still call services,
+// never repositories.
+type ToolHandler func(ctx context.Context, arguments map[string]any) (string, error)
+
+// ToolTrace is emitted for every guarded invocation. A future Engine adapter
+// can translate it into AgentRun tool-call audit records without coupling this
+// experiment package to the service layer.
+type ToolTrace struct {
+	ToolCode  string
+	Arguments map[string]any
+	Status    string
+	Result    string
+	Err       error
+	Duration  time.Duration
+}
+
+type ToolTraceHook func(ToolTrace)
+
+// GuardedTool adapts an Eino InvokableTool to the shared ToolPolicyGuard. It is
+// deliberately generic so Tool Registry semantics are checked before a tool
+// handler is invoked.
+type GuardedTool struct {
+	InfoDefinition *schema.ToolInfo
+	Definition     aitooling.Definition
+	Policy         aitooling.Policy
+	Handler        ToolHandler
+	Trace          ToolTraceHook
+}
+
+var _ einotool.InvokableTool = (*GuardedTool)(nil)
+
+func (t *GuardedTool) Info(context.Context) (*schema.ToolInfo, error) {
+	if t == nil || t.InfoDefinition == nil {
+		return nil, fmt.Errorf("eino experiment tool info is required")
+	}
+	return t.InfoDefinition, nil
+}
+
+func (t *GuardedTool) InvokableRun(ctx context.Context, argumentsInJSON string, _ ...einotool.Option) (string, error) {
+	if t == nil || t.Handler == nil {
+		return "", fmt.Errorf("eino experiment tool handler is required")
+	}
+	startedAt := time.Now()
+	arguments := map[string]any{}
+	if err := json.Unmarshal([]byte(argumentsInJSON), &arguments); err != nil {
+		t.emitTrace(arguments, "failed", "", err, startedAt)
+		return "", fmt.Errorf("decode tool arguments: %w", err)
+	}
+	if err := aitooling.DefaultPolicyGuard.Authorize(aitooling.Invocation{
+		Definition: t.Definition,
+		Arguments:  arguments,
+		Policy:     t.Policy,
+	}); err != nil {
+		t.emitTrace(arguments, "failed", "", err, startedAt)
+		return "", err
+	}
+	if t.Definition.TimeoutMS > 0 {
+		var cancel context.CancelFunc
+		ctx, cancel = context.WithTimeout(ctx, time.Duration(t.Definition.TimeoutMS)*time.Millisecond)
+		defer cancel()
+	}
+	result, err := t.Handler(ctx, arguments)
+	status := "completed"
+	if err != nil {
+		status = "failed"
+	}
+	t.emitTrace(arguments, status, result, err, startedAt)
+	return result, err
+}
+
+func (t *GuardedTool) emitTrace(arguments map[string]any, status, result string, err error, startedAt time.Time) {
+	if t == nil || t.Trace == nil {
+		return
+	}
+	t.Trace(ToolTrace{
+		ToolCode: t.Definition.Code, Arguments: arguments, Status: status, Result: result, Err: err,
+		Duration: time.Since(startedAt),
+	})
+}

internal/ai/application/runtime/einoexperiment/mcp_tool.go

@@ -0,0 +1,37 @@
+package einoexperiment
+
+import (
+	"context"
+	"fmt"
+	"strings"
+
+	"agent-desk/internal/ai/mcps"
+	runtimetooling "agent-desk/internal/ai/runtime/tooling"
+	aitooling "agent-desk/internal/ai/tooling"
+)
+
+// MCPToolExecutor is the narrow execution boundary used by the Eino
+// experiment. The production MCP executor remains responsible for dynamic
+// registry resolution, policy enforcement, timeout, and transport lifecycle.
+type MCPToolExecutor interface {
+	Execute(context.Context, string, map[string]any, aitooling.Policy) (aitooling.Definition, *mcps.ToolCallResult, error)
+}
+
+// NewMCPToolHandler adapts a dynamically discovered MCP tool to GuardedTool.
+// Callers must still configure GuardedTool.Definition and Policy so its
+// pre-handler guard provides a deterministic rejection before MCP transport.
+func NewMCPToolHandler(executor MCPToolExecutor, toolCode string, policy aitooling.Policy) ToolHandler {
+	return func(ctx context.Context, arguments map[string]any) (string, error) {
+		if executor == nil {
+			return "", fmt.Errorf("eino experiment MCP executor is required")
+		}
+		definition, result, err := executor.Execute(ctx, strings.TrimSpace(toolCode), arguments, policy)
+		if err != nil {
+			return "", err
+		}
+		if definition.Code == "" {
+			return "", fmt.Errorf("MCP executor returned an empty tool definition")
+		}
+		return runtimetooling.BuildReducedToolResultSummary(result), nil
+	}
+}

internal/ai/application/runtime/einoexperiment/react.go

@@ -0,0 +1,86 @@
+// Package einoexperiment contains an isolated Eino ReAct verification path.
+// It must not be registered in the production Agent Engine registry.
+package einoexperiment
+
+import (
+	"context"
+	"fmt"
+	"strings"
+	"time"
+
+	"agent-desk/internal/models"
+
+	einoopenai "github.com/cloudwego/eino-ext/components/model/openai"
+	"github.com/cloudwego/eino/components/model"
+	"github.com/cloudwego/eino/components/tool"
+	"github.com/cloudwego/eino/compose"
+	"github.com/cloudwego/eino/flow/agent/react"
+	"github.com/cloudwego/eino/schema"
+)
+
+// ReActConfig keeps the experiment dependency-injected. The caller owns model
+// construction, connection reuse, and all production configuration decisions.
+type ReActConfig struct {
+	Model    model.ToolCallingChatModel
+	Tools    []tool.BaseTool
+	MaxSteps int
+}
+
+// NewOpenAICompatibleModel adapts an existing AgentDesk AI configuration to
+// Eino's OpenAI-compatible chat model. It is intentionally not wired into any
+// production Engine; the experiment owns the adoption decision.
+func NewOpenAICompatibleModel(ctx context.Context, config models.AIConfig) (model.ToolCallingChatModel, error) {
+	if strings.TrimSpace(config.APIKey) == "" || strings.TrimSpace(config.BaseURL) == "" || strings.TrimSpace(config.ModelName) == "" {
+		return nil, fmt.Errorf("ai config base URL, API key, and model name are required")
+	}
+	modelConfig := &einoopenai.ChatModelConfig{
+		APIKey:  strings.TrimSpace(config.APIKey),
+		BaseURL: strings.TrimSpace(config.BaseURL),
+		Model:   strings.TrimSpace(config.ModelName),
+	}
+	if config.TimeoutMS > 0 {
+		modelConfig.Timeout = time.Duration(config.TimeoutMS) * time.Millisecond
+	}
+	if config.MaxOutputTokens > 0 {
+		maxTokens := config.MaxOutputTokens
+		modelConfig.MaxCompletionTokens = &maxTokens
+	}
+	return einoopenai.NewChatModel(ctx, modelConfig)
+}
+
+// NewReAct creates an Eino ReAct agent without registering it with AgentDesk's
+// runtime. It is deliberately suitable only for technical verification.
+func NewReAct(ctx context.Context, config ReActConfig) (*react.Agent, error) {
+	if config.Model == nil {
+		return nil, fmt.Errorf("eino experiment model is required")
+	}
+	maxSteps := config.MaxSteps
+	if maxSteps <= 0 {
+		maxSteps = 5
+	}
+	return react.NewAgent(ctx, &react.AgentConfig{
+		ToolCallingModel: config.Model,
+		ToolsConfig:      compose.ToolsNodeConfig{Tools: config.Tools},
+		MaxStep:          maxSteps,
+	})
+}
+
+// Run performs one non-streaming experiment. Context cancellation is passed
+// directly to Eino and the injected model/tools.
+func Run(ctx context.Context, config ReActConfig, input []*schema.Message) (*schema.Message, error) {
+	agent, err := NewReAct(ctx, config)
+	if err != nil {
+		return nil, err
+	}
+	return agent.Generate(ctx, input)
+}
+
+// Stream performs one streaming experiment. The caller must close the returned
+// reader after consuming it.
+func Stream(ctx context.Context, config ReActConfig, input []*schema.Message) (*schema.StreamReader[*schema.Message], error) {
+	agent, err := NewReAct(ctx, config)
+	if err != nil {
+		return nil, err
+	}
+	return agent.Stream(ctx, input)
+}

internal/ai/application/runtime/einoexperiment/react_test.go

@@ -0,0 +1,376 @@
+package einoexperiment
+
+import (
+	"context"
+	"errors"
+	"sync"
+	"sync/atomic"
+	"testing"
+	"time"
+
+	applicationruntime "agent-desk/internal/ai/application/runtime"
+	"agent-desk/internal/ai/mcps"
+	"agent-desk/internal/ai/runtime/graphs"
+	aitooling "agent-desk/internal/ai/tooling"
+	"agent-desk/internal/models"
+
+	"github.com/cloudwego/eino/components/model"
+	"github.com/cloudwego/eino/components/tool"
+	"github.com/cloudwego/eino/schema"
+)
+
+type scriptedToolCallingModel struct {
+	responses []*schema.Message
+	calls     int
+	err       error
+	block     bool
+	lastInput []*schema.Message
+}
+
+type fakeMCPToolExecutor struct {
+	toolCode  string
+	arguments map[string]any
+	policy    aitooling.Policy
+	result    *mcps.ToolCallResult
+	err       error
+}
+
+type concurrentToolCallingModel struct {
+	calls atomic.Int32
+}
+
+var _ model.ToolCallingChatModel = (*concurrentToolCallingModel)(nil)
+
+func (m *concurrentToolCallingModel) Generate(ctx context.Context, _ []*schema.Message, _ ...model.Option) (*schema.Message, error) {
+	if err := ctx.Err(); err != nil {
+		return nil, err
+	}
+	m.calls.Add(1)
+	return schema.AssistantMessage("并发调用完成。", nil), nil
+}
+
+func (m *concurrentToolCallingModel) Stream(ctx context.Context, input []*schema.Message, opts ...model.Option) (*schema.StreamReader[*schema.Message], error) {
+	message, err := m.Generate(ctx, input, opts...)
+	if err != nil {
+		return nil, err
+	}
+	return schema.StreamReaderFromArray([]*schema.Message{message}), nil
+}
+
+func (m *concurrentToolCallingModel) WithTools(_ []*schema.ToolInfo) (model.ToolCallingChatModel, error) {
+	return m, nil
+}
+
+func (e *fakeMCPToolExecutor) Execute(_ context.Context, toolCode string, arguments map[string]any, policy aitooling.Policy) (aitooling.Definition, *mcps.ToolCallResult, error) {
+	e.toolCode = toolCode
+	e.arguments = arguments
+	e.policy = policy
+	return aitooling.Definition{Code: toolCode, RiskLevel: aitooling.RiskLevelSensitive}, e.result, e.err
+}
+
+var _ model.ToolCallingChatModel = (*scriptedToolCallingModel)(nil)
+
+func (m *scriptedToolCallingModel) Generate(ctx context.Context, input []*schema.Message, _ ...model.Option) (*schema.Message, error) {
+	m.lastInput = append([]*schema.Message(nil), input...)
+	if err := ctx.Err(); err != nil {
+		return nil, err
+	}
+	if m.block {
+		<-ctx.Done()
+		return nil, ctx.Err()
+	}
+	if m.err != nil {
+		return nil, m.err
+	}
+	if m.calls >= len(m.responses) {
+		return nil, errors.New("unexpected model call")
+	}
+	result := m.responses[m.calls]
+	m.calls++
+	return result, nil
+}
+
+func (m *scriptedToolCallingModel) Stream(ctx context.Context, input []*schema.Message, opts ...model.Option) (*schema.StreamReader[*schema.Message], error) {
+	message, err := m.Generate(ctx, input, opts...)
+	if err != nil {
+		return nil, err
+	}
+	return schema.StreamReaderFromArray([]*schema.Message{message}), nil
+}
+
+func (m *scriptedToolCallingModel) WithTools(_ []*schema.ToolInfo) (model.ToolCallingChatModel, error) {
+	return m, nil
+}
+
+func TestRunExecutesGuardedToolThenReturnsFinalAnswer(t *testing.T) {
+	called := false
+	guardedTool := &GuardedTool{
+		InfoDefinition: &schema.ToolInfo{Name: "customer_lookup", Desc: "Read customer data"},
+		Definition:     aitooling.Definition{Code: "builtin/customer_lookup", RiskLevel: aitooling.RiskLevelRead},
+		Policy:         aitooling.Policy{AllowedToolCodes: []string{"builtin/customer_lookup"}},
+		Handler: func(_ context.Context, arguments map[string]any) (string, error) {
+			called = arguments["customerId"] == "42"
+			return "customer: Ada", nil
+		},
+	}
+	model := &scriptedToolCallingModel{responses: []*schema.Message{
+		schema.AssistantMessage("", []schema.ToolCall{{ID: "call-1", Type: "function", Function: schema.FunctionCall{Name: "customer_lookup", Arguments: `{"customerId":"42"}`}}}),
+		schema.AssistantMessage("已找到客户资料。", nil),
+	}}
+
+	result, err := Run(context.Background(), ReActConfig{Model: model, Tools: []tool.BaseTool{guardedTool}, MaxSteps: 4}, []*schema.Message{schema.UserMessage("查询客户")})
+	if err != nil {
+		t.Fatalf("Run: %v", err)
+	}
+	if !called || result == nil || result.Content != "已找到客户资料。" || model.calls != 2 {
+		t.Fatalf("unexpected ReAct result: called=%t result=%#v modelCalls=%d", called, result, model.calls)
+	}
+}
+
+func TestRunInjectsProvidedConversationContext(t *testing.T) {
+	model := &scriptedToolCallingModel{responses: []*schema.Message{schema.AssistantMessage("已理解上下文。", nil)}}
+	input := []*schema.Message{
+		schema.SystemMessage("你是客服助手，优先引用知识库。"),
+		schema.UserMessage("我的订单状态如何？"),
+	}
+	if _, err := Run(context.Background(), ReActConfig{Model: model}, input); err != nil {
+		t.Fatalf("Run: %v", err)
+	}
+	if len(model.lastInput) != len(input) || model.lastInput[0].Content != input[0].Content || model.lastInput[1].Content != input[1].Content {
+		t.Fatalf("conversation context was not passed to model: %#v", model.lastInput)
+	}
+}
+
+func TestNewOpenAICompatibleModelValidatesExistingAIConfig(t *testing.T) {
+	if _, err := NewOpenAICompatibleModel(context.Background(), models.AIConfig{}); err == nil {
+		t.Fatal("expected incomplete AI config error")
+	}
+	configured, err := NewOpenAICompatibleModel(context.Background(), models.AIConfig{
+		BaseURL: "https://api.example.test/v1", APIKey: "test-key", ModelName: "test-model", TimeoutMS: 1200, MaxOutputTokens: 256,
+	})
+	if err != nil || configured == nil {
+		t.Fatalf("expected OpenAI-compatible model adapter, model=%#v err=%v", configured, err)
+	}
+}
+
+func TestGuardedToolRejectsDisallowedPolicyBeforeHandler(t *testing.T) {
+	called := false
+	guardedTool := &GuardedTool{
+		InfoDefinition: &schema.ToolInfo{Name: "restricted_lookup", Desc: "Read restricted data"},
+		Definition:     aitooling.Definition{Code: "builtin/restricted_lookup", RiskLevel: aitooling.RiskLevelRead},
+		Policy:         aitooling.Policy{AllowedToolCodes: []string{"builtin/customer_lookup"}},
+		Handler: func(context.Context, map[string]any) (string, error) {
+			called = true
+			return "unexpected", nil
+		},
+	}
+	if _, err := guardedTool.InvokableRun(context.Background(), `{}`); err == nil {
+		t.Fatal("expected policy rejection")
+	}
+	if called {
+		t.Fatal("handler must not run after policy rejection")
+	}
+}
+
+func TestRunPropagatesCancellation(t *testing.T) {
+	ctx, cancel := context.WithCancel(context.Background())
+	cancel()
+	model := &scriptedToolCallingModel{responses: []*schema.Message{schema.AssistantMessage("unused", nil)}}
+	if _, err := Run(ctx, ReActConfig{Model: model}, []*schema.Message{schema.UserMessage("查询")}); !errors.Is(err, context.Canceled) {
+		t.Fatalf("expected cancellation, got %v", err)
+	}
+}
+
+func TestRunPropagatesDeadlineDuringModelCall(t *testing.T) {
+	ctx, cancel := context.WithTimeout(context.Background(), 20*time.Millisecond)
+	defer cancel()
+	model := &scriptedToolCallingModel{block: true}
+	if _, err := Run(ctx, ReActConfig{Model: model}, []*schema.Message{schema.UserMessage("查询")}); !errors.Is(err, context.DeadlineExceeded) {
+		t.Fatalf("expected deadline propagation, got %v", err)
+	}
+}
+
+func TestRunPropagatesModelFailure(t *testing.T) {
+	modelErr := errors.New("model unavailable")
+	model := &scriptedToolCallingModel{err: modelErr}
+	if _, err := Run(context.Background(), ReActConfig{Model: model}, []*schema.Message{schema.UserMessage("查询")}); !errors.Is(err, modelErr) {
+		t.Fatalf("expected model error propagation, got %v", err)
+	}
+}
+
+func TestRunPropagatesToolFailure(t *testing.T) {
+	toolErr := errors.New("customer service unavailable")
+	guardedTool := &GuardedTool{
+		InfoDefinition: &schema.ToolInfo{Name: "failing_lookup", Desc: "Read customer data"},
+		Definition:     aitooling.Definition{Code: "builtin/failing_lookup", RiskLevel: aitooling.RiskLevelRead},
+		Policy:         aitooling.Policy{AllowedToolCodes: []string{"builtin/failing_lookup"}},
+		Handler: func(context.Context, map[string]any) (string, error) {
+			return "", toolErr
+		},
+	}
+	model := &scriptedToolCallingModel{responses: []*schema.Message{
+		schema.AssistantMessage("", []schema.ToolCall{{ID: "call-1", Type: "function", Function: schema.FunctionCall{Name: "failing_lookup", Arguments: `{}`}}}),
+	}}
+	if _, err := Run(context.Background(), ReActConfig{Model: model, Tools: []tool.BaseTool{guardedTool}}, []*schema.Message{schema.UserMessage("查询")}); !errors.Is(err, toolErr) {
+		t.Fatalf("expected tool error propagation, got %v", err)
+	}
+}
+
+func TestGuardedToolEnforcesTimeout(t *testing.T) {
+	guardedTool := &GuardedTool{
+		InfoDefinition: &schema.ToolInfo{Name: "slow_lookup", Desc: "Read customer data"},
+		Definition:     aitooling.Definition{Code: "builtin/slow_lookup", RiskLevel: aitooling.RiskLevelRead, TimeoutMS: 20},
+		Policy:         aitooling.Policy{AllowedToolCodes: []string{"builtin/slow_lookup"}},
+		Handler: func(ctx context.Context, _ map[string]any) (string, error) {
+			<-ctx.Done()
+			return "", ctx.Err()
+		},
+	}
+	if _, err := guardedTool.InvokableRun(context.Background(), `{}`); !errors.Is(err, context.DeadlineExceeded) {
+		t.Fatalf("expected tool timeout, got %v", err)
+	}
+}
+
+func TestGuardedToolEmitsTraceForPolicyFailure(t *testing.T) {
+	var trace ToolTrace
+	guardedTool := &GuardedTool{
+		InfoDefinition: &schema.ToolInfo{Name: "restricted_lookup", Desc: "Read restricted data"},
+		Definition:     aitooling.Definition{Code: "builtin/restricted_lookup", RiskLevel: aitooling.RiskLevelRead},
+		Policy:         aitooling.Policy{AllowedToolCodes: []string{"builtin/other_lookup"}},
+		Handler: func(context.Context, map[string]any) (string, error) {
+			return "unexpected", nil
+		},
+		Trace: func(item ToolTrace) { trace = item },
+	}
+	if _, err := guardedTool.InvokableRun(context.Background(), `{"customerId":"42"}`); err == nil {
+		t.Fatal("expected policy rejection")
+	}
+	if trace.ToolCode != "builtin/restricted_lookup" || trace.Status != "failed" || trace.Err == nil || trace.Arguments["customerId"] != "42" || trace.Duration < 0 {
+		t.Fatalf("unexpected trace: %#v", trace)
+	}
+}
+
+func TestMCPToolHandlerUsesSharedExecutorAndReducesResult(t *testing.T) {
+	executor := &fakeMCPToolExecutor{result: &mcps.ToolCallResult{Content: []mcps.ToolResultContent{{Type: "text", Text: "customer: Ada"}}}}
+	policy := aitooling.Policy{AllowedToolCodes: []string{"crm/customer_lookup"}, Confirmed: true}
+	handler := NewMCPToolHandler(executor, "crm/customer_lookup", policy)
+	result, err := handler(context.Background(), map[string]any{"customerId": "42"})
+	if err != nil || result != "customer: Ada" {
+		t.Fatalf("unexpected MCP handler result=%q err=%v", result, err)
+	}
+	if executor.toolCode != "crm/customer_lookup" || executor.arguments["customerId"] != "42" || !executor.policy.Confirmed {
+		t.Fatalf("unexpected MCP execution: %#v", executor)
+	}
+}
+
+func TestRunStopsAtConfiguredMaxSteps(t *testing.T) {
+	guardedTool := &GuardedTool{
+		InfoDefinition: &schema.ToolInfo{Name: "loop_lookup", Desc: "Read loop data"},
+		Definition:     aitooling.Definition{Code: "builtin/loop_lookup", RiskLevel: aitooling.RiskLevelRead},
+		Policy:         aitooling.Policy{AllowedToolCodes: []string{"builtin/loop_lookup"}},
+		Handler: func(context.Context, map[string]any) (string, error) {
+			return "keep going", nil
+		},
+	}
+	responses := make([]*schema.Message, 8)
+	for i := range responses {
+		responses[i] = schema.AssistantMessage("", []schema.ToolCall{{
+			ID: "loop-call", Type: "function", Function: schema.FunctionCall{Name: "loop_lookup", Arguments: `{}`},
+		}})
+	}
+	model := &scriptedToolCallingModel{responses: responses}
+	if _, err := Run(context.Background(), ReActConfig{Model: model, Tools: []tool.BaseTool{guardedTool}, MaxSteps: 2}, []*schema.Message{schema.UserMessage("循环查询")}); err == nil {
+		t.Fatal("expected configured maximum step limit to stop the loop")
+	}
+}
+
+func TestStreamReturnsModelOutput(t *testing.T) {
+	model := &scriptedToolCallingModel{responses: []*schema.Message{schema.AssistantMessage("流式回复", nil)}}
+	stream, err := Stream(context.Background(), ReActConfig{Model: model}, []*schema.Message{schema.UserMessage("查询")})
+	if err != nil {
+		t.Fatalf("Stream: %v", err)
+	}
+	defer stream.Close()
+	result, err := schema.ConcatMessageStream(stream)
+	if err != nil {
+		t.Fatalf("ConcatMessageStream: %v", err)
+	}
+	if result.Content != "流式回复" {
+		t.Fatalf("unexpected stream result: %#v", result)
+	}
+}
+
+func TestStreamPropagatesCancellation(t *testing.T) {
+	ctx, cancel := context.WithCancel(context.Background())
+	cancel()
+	model := &scriptedToolCallingModel{responses: []*schema.Message{schema.AssistantMessage("unused", nil)}}
+	if _, err := Stream(ctx, ReActConfig{Model: model}, []*schema.Message{schema.UserMessage("查询")}); !errors.Is(err, context.Canceled) {
+		t.Fatalf("expected stream cancellation, got %v", err)
+	}
+}
+
+func TestRunSupportsConcurrentIndependentCalls(t *testing.T) {
+	model := &concurrentToolCallingModel{}
+	const workers = 16
+	errs := make(chan error, workers)
+	var group sync.WaitGroup
+	for range workers {
+		group.Add(1)
+		go func() {
+			defer group.Done()
+			result, err := Run(context.Background(), ReActConfig{Model: model, MaxSteps: 3}, []*schema.Message{schema.UserMessage("并发查询")})
+			if err != nil {
+				errs <- err
+				return
+			}
+			if result == nil || result.Content != "并发调用完成。" {
+				errs <- errors.New("unexpected concurrent result")
+			}
+		}()
+	}
+	group.Wait()
+	close(errs)
+	for err := range errs {
+		t.Fatal(err)
+	}
+	if model.calls.Load() != workers {
+		t.Fatalf("model calls = %d, want %d", model.calls.Load(), workers)
+	}
+}
+
+func TestConfirmationBridgeUsesGenericInterruptAndResumeContracts(t *testing.T) {
+	input := applicationruntime.RunInput{
+		Conversation: models.Conversation{ID: 11}, UserMessage: models.Message{ID: 22},
+	}
+	result, err := BuildConfirmationResult(input, ConfirmationRequest{
+		InterruptID: "confirm_refund", ToolCode: "graph/create_ticket_with_confirmation", Prompt: "是否确认提交退款工单？",
+		Arguments: map[string]any{"title": "退款申请"},
+	})
+	if err != nil {
+		t.Fatalf("BuildConfirmationResult: %v", err)
+	}
+	if !result.Interrupted || result.Status != "interrupted" || result.CheckPointID == "" || len(result.Interrupts) != 1 || result.Interrupts[0].Type != confirmationInterruptType || result.Interrupts[0].ID != "confirm_refund" {
+		t.Fatalf("unexpected confirmation result: %#v", result)
+	}
+	decision, checkpoint, err := ResumeConfirmation(result.CheckPointData, applicationruntime.ResumeInput{ResumeData: map[string]string{"confirm_refund": "确认"}})
+	if err != nil || decision != string(graphs.ConfirmationDecisionConfirm) || checkpoint.ToolCode != "graph/create_ticket_with_confirmation" || checkpoint.Arguments["title"] != "退款申请" {
+		t.Fatalf("unexpected resume bridge decision=%q checkpoint=%#v err=%v", decision, checkpoint, err)
+	}
+	decision, _, err = ResumeConfirmation(result.CheckPointData, applicationruntime.ResumeInput{ResumeData: map[string]string{"confirm_refund": "取消"}})
+	if err != nil || decision != string(graphs.ConfirmationDecisionCancel) {
+		t.Fatalf("unexpected cancellation decision=%q err=%v", decision, err)
+	}
+}
+
+func BenchmarkRunWithInjectedModel(b *testing.B) {
+	model := &concurrentToolCallingModel{}
+	input := []*schema.Message{schema.SystemMessage("你是客服助手。"), schema.UserMessage("查询订单状态")}
+	b.ReportAllocs()
+	b.ResetTimer()
+	for range b.N {
+		result, err := Run(context.Background(), ReActConfig{Model: model, MaxSteps: 3}, input)
+		if err != nil || result == nil || result.Content == "" {
+			b.Fatalf("Run result=%#v err=%v", result, err)
+		}
+	}
+}

internal/ai/application/runtime/einoexperiment/real_endpoint_test.go

@@ -0,0 +1,141 @@
+package einoexperiment
+
+import (
+	"context"
+	"os"
+	"path/filepath"
+	"strings"
+	"testing"
+	"time"
+
+	"agent-desk/internal/bootstrap"
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/config"
+	"agent-desk/internal/pkg/enums"
+
+	einoopenai "github.com/cloudwego/eino-ext/components/model/openai"
+	einomodel "github.com/cloudwego/eino/components/model"
+	"github.com/cloudwego/eino/schema"
+)
+
+// TestRealOpenAICompatibleEndpoint is intentionally opt-in because it spends
+// a small amount of configured model quota. It verifies the production-shaped
+// OpenAI-compatible adapter without exposing credentials in test output.
+func TestRealOpenAICompatibleEndpoint(t *testing.T) {
+	if os.Getenv("EINO_EXPERIMENT_REAL") != "1" {
+		t.Skip("set EINO_EXPERIMENT_REAL=1 to run against the configured endpoint")
+	}
+	configPath := strings.TrimSpace(os.Getenv("EINO_EXPERIMENT_CONFIG"))
+	var err error
+	if configPath == "" {
+		configPath, err = findExperimentConfigPath()
+		if err != nil {
+			t.Fatal(err)
+		}
+	}
+	workingDir, err := os.Getwd()
+	if err != nil {
+		t.Fatalf("get working directory: %v", err)
+	}
+	repoRoot := filepath.Dir(filepath.Dir(configPath))
+	if err := os.Chdir(repoRoot); err != nil {
+		t.Fatalf("change to config root: %v", err)
+	}
+	t.Cleanup(func() { _ = os.Chdir(workingDir) })
+	cfg, err := config.Load(configPath)
+	if err != nil {
+		t.Fatalf("load config: %v", err)
+	}
+	db, err := bootstrap.InitDB(cfg.DB)
+	if err != nil {
+		t.Fatalf("open configured database: %v", err)
+	}
+	sqlDB, err := db.DB()
+	if err == nil {
+		defer sqlDB.Close()
+	}
+	var aiConfig models.AIConfig
+	if err := db.Where("model_type = ? AND status = ?", enums.AIModelTypeLLM, enums.StatusOk).Order("id").First(&aiConfig).Error; err != nil {
+		t.Fatalf("load enabled LLM config: %v", err)
+	}
+	ctx, cancel := context.WithTimeout(context.Background(), time.Duration(maxInt(aiConfig.TimeoutMS, 30000))*time.Millisecond)
+	defer cancel()
+	model, err := NewOpenAICompatibleModel(ctx, aiConfig)
+	if err != nil {
+		t.Fatalf("create Eino model adapter: %v", err)
+	}
+	input := []*schema.Message{schema.SystemMessage("You are a terse service assistant."), schema.UserMessage("Reply with exactly: OK")}
+	startedAt := time.Now()
+	result, err := Run(ctx, ReActConfig{Model: model, MaxSteps: 2}, input)
+	if err != nil {
+		t.Fatalf("Eino ReAct request: %v", err)
+	}
+	if result == nil || strings.TrimSpace(result.Content) == "" {
+		t.Fatal("Eino endpoint returned an empty response")
+	}
+	if result.ResponseMeta == nil || result.ResponseMeta.Usage == nil {
+		t.Fatal("Eino endpoint did not return token usage")
+	}
+	t.Logf("real endpoint verified: latency=%s promptTokens=%d completionTokens=%d", time.Since(startedAt).Round(time.Millisecond), result.ResponseMeta.Usage.PromptTokens, result.ResponseMeta.Usage.CompletionTokens)
+
+	toolModel, err := model.WithTools([]*schema.ToolInfo{{
+		Name: "eino_echo",
+		Desc: "Echoes a short input. Always call this tool when asked to verify tool calling.",
+		ParamsOneOf: schema.NewParamsOneOfByParams(map[string]*schema.ParameterInfo{
+			"text": {Type: schema.String, Desc: "Short text to echo", Required: true},
+		}),
+	}})
+	if err != nil {
+		t.Fatalf("bind Eino tool: %v", err)
+	}
+	toolResult, err := toolModel.Generate(ctx, []*schema.Message{schema.UserMessage("Verify tool calling by invoking eino_echo with text OK.")},
+		einomodel.WithToolChoice(schema.ToolChoiceForced, "eino_echo"),
+		einoopenai.WithExtraFields(map[string]any{"enable_thinking": false}),
+	)
+	if err != nil {
+		t.Fatalf("real endpoint tool call: %v", err)
+	}
+	if toolResult == nil || len(toolResult.ToolCalls) != 1 || toolResult.ToolCalls[0].Function.Name != "eino_echo" {
+		t.Fatalf("expected one eino_echo tool call, got %#v", toolResult)
+	}
+
+	stream, err := model.Stream(ctx, []*schema.Message{schema.UserMessage("Reply with exactly: STREAM_OK")})
+	if err != nil {
+		t.Fatalf("real endpoint stream: %v", err)
+	}
+	// ConcatMessageStream consumes and closes the Eino reader. Do not close it
+	// again here: v0.9.6 treats a second close as a panic.
+	streamResult, err := schema.ConcatMessageStream(stream)
+	if err != nil {
+		t.Fatalf("concat real stream: %v", err)
+	}
+	if streamResult == nil || strings.TrimSpace(streamResult.Content) == "" {
+		t.Fatal("Eino endpoint stream returned an empty response")
+	}
+	t.Logf("real endpoint tool and stream verified: toolCalls=%d streamChars=%d", len(toolResult.ToolCalls), len([]rune(streamResult.Content)))
+}
+
+func findExperimentConfigPath() (string, error) {
+	dir, err := os.Getwd()
+	if err != nil {
+		return "", err
+	}
+	for {
+		candidate := filepath.Join(dir, "config", "config.yaml")
+		if _, err := os.Stat(candidate); err == nil {
+			return candidate, nil
+		}
+		parent := filepath.Dir(dir)
+		if parent == dir {
+			return "", os.ErrNotExist
+		}
+		dir = parent
+	}
+}
+
+func maxInt(value, fallback int) int {
+	if value > 0 {
+		return value
+	}
+	return fallback
+}

internal/ai/application/runtime/engine.go

@@ -0,0 +1,58 @@
+package runtime
+
+import (
+	"context"
+	"errors"
+	"strings"
+
+	"agent-desk/internal/pkg/errorsx"
+)
+
+const (
+	EngineCodeWorkflow   = "workflow"
+	EngineCodeAutonomous = "autonomous"
+)
+
+// Engine executes one Agent Runtime mode. Implementations must keep business
+// mutations behind AgentDesk services and return a normalized RunResult.
+type Engine interface {
+	Code() string
+	Run(ctx context.Context, req RunInput) (*RunResult, error)
+	Resume(ctx context.Context, req ResumeInput) (*RunResult, error)
+}
+
+// EngineRegistry resolves the runtime implementation. Workflow is the default
+// until Agent runtime modes are persisted on AIAgent in the next migration.
+type EngineRegistry struct {
+	engines map[string]Engine
+}
+
+func NewEngineRegistry(engines ...Engine) *EngineRegistry {
+	registry := &EngineRegistry{engines: make(map[string]Engine, len(engines))}
+	for _, engine := range engines {
+		if engine == nil || strings.TrimSpace(engine.Code()) == "" {
+			continue
+		}
+		registry.engines[strings.TrimSpace(engine.Code())] = engine
+	}
+	return registry
+}
+
+func NewDefaultEngineRegistry() *EngineRegistry {
+	return NewEngineRegistry(NewWorkflowEngine(), NewAutonomousEngine(), NewHybridEngine())
+}
+
+func (r *EngineRegistry) Resolve(code string) (Engine, error) {
+	if r == nil {
+		return nil, errors.New("agent runtime engine registry is not configured")
+	}
+	code = strings.TrimSpace(code)
+	if code == "" {
+		code = EngineCodeWorkflow
+	}
+	engine := r.engines[code]
+	if engine == nil {
+		return nil, errorsx.InvalidParam("agent runtime engine does not exist")
+	}
+	return engine, nil
+}

internal/ai/application/runtime/engine_test.go

@@ -0,0 +1,550 @@
+package runtime
+
+import (
+	"context"
+	"fmt"
+	"strings"
+	"testing"
+
+	ai "agent-desk/internal/ai"
+	"agent-desk/internal/ai/skills"
+	aitooling "agent-desk/internal/ai/tooling"
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/toolx"
+	svc "agent-desk/internal/services"
+
+	"github.com/glebarez/sqlite"
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+	"gorm.io/gorm/schema"
+)
+
+func TestServiceDefaultsToWorkflowEngine(t *testing.T) {
+	service := NewService()
+	engine, err := service.registry.Resolve("")
+	if err != nil {
+		t.Fatalf("resolve default engine: %v", err)
+	}
+	if engine.Code() != EngineCodeWorkflow {
+		t.Fatalf("expected default engine %q, got %q", EngineCodeWorkflow, engine.Code())
+	}
+}
+
+func TestServiceDispatchesRequestedEngine(t *testing.T) {
+	engine := &runtimeTestEngine{code: "test"}
+	service := NewServiceWithRegistry(NewEngineRegistry(engine))
+	summary, err := service.Run(context.Background(), RunInput{AIAgent: models.AIAgent{RuntimeMode: enums.AIAgentRuntimeMode(engine.code)}})
+	if err != nil {
+		t.Fatalf("run requested engine: %v", err)
+	}
+	if !engine.ran || summary == nil || summary.Status != "completed" {
+		t.Fatalf("unexpected engine dispatch result: engine=%#v summary=%#v", engine, summary)
+	}
+}
+
+func TestEngineContractKeepsLegacyRequestAliasesCompatible(t *testing.T) {
+	var _ Engine = (*runtimeTestEngine)(nil)
+	var input Request = RunInput{}
+	var result Summary = RunResult{Status: "completed"}
+	if input.Debug || result.Status != "completed" {
+		t.Fatalf("unexpected compatibility values: input=%#v result=%#v", input, result)
+	}
+}
+
+func TestServiceRejectsUnknownEngine(t *testing.T) {
+	service := NewServiceWithRegistry(NewEngineRegistry())
+	if _, err := service.Run(context.Background(), Request{AIAgent: models.AIAgent{RuntimeMode: "missing"}}); err == nil {
+		t.Fatal("expected unknown engine error")
+	}
+}
+
+func TestAutonomousEngineRecordsPublishedRevisionRun(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 7, Revision: 1}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	var receivedPrompt string
+	engine := newAutonomousEngineWithChat(func(_ context.Context, _ models.AIConfig, _ string, prompt string) (*ai.ChatCompletionResult, error) {
+		receivedPrompt = prompt
+		return &ai.ChatCompletionResult{Content: "可以协助你处理这个问题。", ModelName: "test-model", PromptTokens: 8, CompletionTokens: 5}, nil
+	})
+	engine.retrieve = func(context.Context, models.AIAgent, string) (string, int, error) {
+		return "退款需要先确认订单号。", 1, nil
+	}
+	summary, err := engine.Run(context.Background(), Request{
+		Conversation: models.Conversation{ID: 1}, UserMessage: models.Message{ID: 2, Content: "需要帮助"},
+		AIAgent: models.AIAgent{ID: 7, PublishedRevisionID: revision.ID, SystemPrompt: "保持专业", KnowledgeIDs: "21"}, AIConfig: models.AIConfig{ModelName: "test-model"},
+	})
+	if err != nil {
+		t.Fatalf("Run returned error: %v", err)
+	}
+	if summary == nil || summary.AgentRunID <= 0 || summary.ReplyText == "" {
+		t.Fatalf("unexpected summary: %#v", summary)
+	}
+	var run models.AgentRun
+	if err := db.First(&run, summary.AgentRunID).Error; err != nil {
+		t.Fatalf("load agent run: %v", err)
+	}
+	if run.EngineCode != EngineCodeAutonomous || run.AgentRevisionID != revision.ID || run.Status != "completed" {
+		t.Fatalf("unexpected agent run: %#v", run)
+	}
+	if run.PromptTokens != 8 || !strings.Contains(receivedPrompt, "Knowledge evidence") {
+		t.Fatalf("expected knowledge evidence in prompt, got %q", receivedPrompt)
+	}
+	var steps []models.AgentStep
+	if err := db.Where("agent_run_id = ?", run.ID).Find(&steps).Error; err != nil || len(steps) != 2 || steps[1].StepType != "knowledge" {
+		t.Fatalf("expected model and knowledge steps, steps=%#v err=%v", steps, err)
+	}
+}
+
+func TestAutonomousEngineRecordsRejectedReplyAsFailed(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 15, Revision: 1}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	engine := newAutonomousEngineWithChat(func(context.Context, models.AIConfig, string, string) (*ai.ChatCompletionResult, error) {
+		return &ai.ChatCompletionResult{Content: "token=secret-value"}, nil
+	})
+	_, err = engine.Run(context.Background(), Request{UserMessage: models.Message{ID: 2, Content: "help"}, AIAgent: models.AIAgent{ID: 15, PublishedRevisionID: revision.ID}})
+	if err == nil {
+		t.Fatal("expected sensitive model reply to be rejected")
+	}
+	var run models.AgentRun
+	if err := db.Last(&run).Error; err != nil || run.Status != "failed" || strings.Contains(run.ErrorMessage, "secret-value") {
+		t.Fatalf("expected failed audit run, run=%#v err=%v", run, err)
+	}
+}
+
+func TestAutonomousEngineBuildsBoundedConversationContext(t *testing.T) {
+	engine := newAutonomousEngineWithChat(nil)
+	engine.history = func(conversationID int64, limit int) []models.Message {
+		if conversationID != 11 || limit != 3 {
+			t.Fatalf("unexpected history query: conversation=%d limit=%d", conversationID, limit)
+		}
+		return []models.Message{
+			{ID: 1, SenderType: "customer", MessageType: "text", Content: "之前的问题"},
+			{ID: 2, SenderType: "ai", MessageType: "text", Content: "之前的答复"},
+			{ID: 3, SenderType: "customer", MessageType: "text", Content: "当前问题"},
+		}
+	}
+	prompt, count := engine.buildUserPrompt(Request{
+		Conversation: models.Conversation{ID: 11}, UserMessage: models.Message{ID: 3, Content: "当前问题", MessageType: "text"},
+		AIAgent: models.AIAgent{ContextWindow: 2},
+	})
+	if count != 2 || !strings.Contains(prompt, "Customer: 之前的问题") || !strings.Contains(prompt, "Assistant: 之前的答复") || strings.Count(prompt, "当前问题") != 1 {
+		t.Fatalf("unexpected assembled prompt: %q", prompt)
+	}
+}
+
+func TestAutonomousEngineBuildsCustomerContext(t *testing.T) {
+	engine := newAutonomousEngineWithChat(nil)
+	prompt, count := engine.buildUserPrompt(Request{
+		Conversation: models.Conversation{CustomerName: "张三", LastMessageSummary: "已咨询退款条件"},
+		UserMessage:  models.Message{Content: "我要申请退款", MessageType: "text"},
+	})
+	if count != 0 || !strings.Contains(prompt, "Customer: 张三") || !strings.Contains(prompt, "Recent summary: 已咨询退款条件") || !strings.Contains(prompt, "Current customer message:\n我要申请退款") {
+		t.Fatalf("unexpected customer context: %q", prompt)
+	}
+}
+
+func TestAutonomousEngineInjectsSelectedSkillAndRecordsRoute(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 9, Revision: 1}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	var systemPrompt string
+	engine := newAutonomousEngineWithChat(func(_ context.Context, _ models.AIConfig, system, _ string) (*ai.ChatCompletionResult, error) {
+		systemPrompt = system
+		return &ai.ChatCompletionResult{Content: "我来协助处理退款。", ModelName: "test-model"}, nil
+	})
+	engine.skillSelect = func(context.Context, skills.RuntimeContext) (*skills.ExecutionResult, error) {
+		return &skills.ExecutionResult{Plan: &skills.ExecutionPlan{
+			Skill:       &models.SkillDefinition{ID: 70, Name: "退款处理", Instruction: "先核对订单信息。", Examples: `["我要退款"]`, ToolWhitelist: `["support/order_lookup"]`},
+			MatchReason: "llm_route",
+		}, Trace: &skills.ExecutionTrace{Status: "ok", MatchReason: "llm_route"}}, nil
+	}
+	summary, err := engine.Run(context.Background(), Request{
+		Conversation: models.Conversation{ID: 1}, UserMessage: models.Message{ID: 2, Content: "我要退款"},
+		AIAgent: models.AIAgent{ID: 9, PublishedRevisionID: revision.ID, SkillIDs: "70", SystemPrompt: "保持简洁"}, AIConfig: models.AIConfig{ModelName: "test-model"},
+	})
+	if err != nil {
+		t.Fatalf("Run returned error: %v", err)
+	}
+	if summary.PlannedSkillID != 70 || summary.PlannedSkillName != "退款处理" || summary.PlanReason != "llm_route" {
+		t.Fatalf("unexpected skill summary: %#v", summary)
+	}
+	if !strings.Contains(systemPrompt, "先核对订单信息") || !strings.Contains(systemPrompt, "我要退款") {
+		t.Fatalf("selected skill was not injected into system prompt: %q", systemPrompt)
+	}
+	var steps []models.AgentStep
+	if err := db.Where("agent_run_id = ?", summary.AgentRunID).Find(&steps).Error; err != nil {
+		t.Fatalf("load steps: %v", err)
+	}
+	if len(steps) != 2 || steps[1].StepType != "skill_route" || steps[1].StepCode != "skill_select" {
+		t.Fatalf("expected model and skill route audit steps, got %#v", steps)
+	}
+}
+
+func TestAutonomousEngineEnforcesKnowledgeFallbackPolicy(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 10, Revision: 1}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	chatCalled := false
+	engine := newAutonomousEngineWithChat(func(context.Context, models.AIConfig, string, string) (*ai.ChatCompletionResult, error) {
+		chatCalled = true
+		return &ai.ChatCompletionResult{Content: "should not be used"}, nil
+	})
+	engine.retrieve = func(context.Context, models.AIAgent, string) (string, int, error) {
+		return "", 0, nil
+	}
+	summary, err := engine.Run(context.Background(), Request{
+		Conversation: models.Conversation{ID: 1}, UserMessage: models.Message{ID: 2, Content: "保修多久"},
+		AIAgent:  models.AIAgent{ID: 10, PublishedRevisionID: revision.ID, KnowledgeIDs: "100", FallbackMessage: "请提供产品型号，我再继续查询。"},
+		AIConfig: models.AIConfig{ModelName: "test-model"},
+	})
+	if err != nil {
+		t.Fatalf("Run returned error: %v", err)
+	}
+	if chatCalled || summary.ReplyText != "请提供产品型号，我再继续查询。" {
+		t.Fatalf("knowledge fallback policy was not enforced: chatCalled=%t summary=%#v", chatCalled, summary)
+	}
+	var steps []models.AgentStep
+	if err := db.Where("agent_run_id = ?", summary.AgentRunID).Find(&steps).Error; err != nil {
+		t.Fatalf("load steps: %v", err)
+	}
+	if len(steps) != 3 || steps[1].StepType != "knowledge" || steps[2].StepType != "policy" || steps[2].StepCode != "knowledge_evidence" {
+		t.Fatalf("expected model, knowledge and policy steps, got %#v", steps)
+	}
+}
+
+func TestAutonomousEngineDebugRunDoesNotExposeMCPTools(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 11, Revision: 1}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	engine := newAutonomousEngineWithChat(func(context.Context, models.AIConfig, string, string) (*ai.ChatCompletionResult, error) {
+		return &ai.ChatCompletionResult{Content: "调试回复", ModelName: "test-model"}, nil
+	})
+	engine.toolChat = func(context.Context, models.AIConfig, string, string, []ai.ToolDefinition, int, ai.ToolCallExecutor) (*ai.ToolLoopResult, error) {
+		t.Fatal("debug run must not enter tool calling loop")
+		return nil, nil
+	}
+	summary, err := engine.Run(context.Background(), Request{
+		Conversation: models.Conversation{ID: 1}, UserMessage: models.Message{ID: 2, Content: "查询订单"},
+		AIAgent:  models.AIAgent{ID: 11, PublishedRevisionID: revision.ID, AllowedMCPTools: `[{"toolCode":"orders/lookup"}]`},
+		AIConfig: models.AIConfig{ModelName: "test-model"}, Debug: true,
+	})
+	if err != nil || summary == nil || summary.ReplyText != "调试回复" {
+		t.Fatalf("unexpected debug run result: summary=%#v err=%v", summary, err)
+	}
+}
+
+func TestAutonomousEngineUsesPublishedRevisionSnapshot(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 12, Revision: 1, Definition: `{"agent":{"name":"published","aiConfigId":5,"runtimeMode":"autonomous","maxSteps":4,"systemPrompt":"published instruction"},"model":{"configId":5,"provider":"openai","baseUrl":"https://published.example/v1","modelType":"llm","modelName":"published-model","timeoutMs":12000}}`}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	var receivedSystem string
+	var receivedConfig models.AIConfig
+	engine := newAutonomousEngineWithChat(func(_ context.Context, config models.AIConfig, system, _ string) (*ai.ChatCompletionResult, error) {
+		receivedSystem = system
+		receivedConfig = config
+		return &ai.ChatCompletionResult{Content: "published response", ModelName: config.ModelName}, nil
+	})
+	_, err = engine.Run(context.Background(), Request{
+		Conversation: models.Conversation{ID: 1}, UserMessage: models.Message{ID: 2, Content: "hello"},
+		AIAgent:  models.AIAgent{ID: 12, PublishedRevisionID: revision.ID, SystemPrompt: "draft instruction", AIConfigID: 5},
+		AIConfig: models.AIConfig{ID: 5, APIKey: "rotated-key", ModelName: "draft-model"},
+	})
+	if err != nil {
+		t.Fatalf("Run returned error: %v", err)
+	}
+	if !strings.Contains(receivedSystem, "published instruction") || strings.Contains(receivedSystem, "draft instruction") {
+		t.Fatalf("system prompt did not use published snapshot: %q", receivedSystem)
+	}
+	if receivedConfig.ModelName != "published-model" || receivedConfig.BaseURL != "https://published.example/v1" || receivedConfig.APIKey != "rotated-key" {
+		t.Fatalf("model config did not use safe published snapshot: %#v", receivedConfig)
+	}
+}
+
+func TestHybridEngineUsesBoundPlaybookAndRecordsGenericAudit(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AIWorkflowVersion{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	workflowVersion := &models.AIWorkflowVersion{WorkflowID: 21, Version: 1, Status: enums.StatusOk, Definition: `{"schemaVersion":2,"nodes":[{"id":"start_1","type":"start"},{"id":"end_1","type":"end"}],"edges":[{"sourceNodeID":"start_1","targetNodeID":"end_1"}]}`}
+	if err := db.Create(workflowVersion).Error; err != nil {
+		t.Fatalf("create workflow version: %v", err)
+	}
+	revision := &models.AgentRevision{AgentID: 14, Revision: 1, Status: enums.StatusOk, WorkflowVersionID: workflowVersion.ID, Definition: `{"agent":{"runtimeMode":"hybrid","systemPrompt":"published hybrid prompt","maxSteps":3},"workflowVersionId":1}`}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	engine := NewHybridEngine()
+	engine.chatWithTools = func(_ context.Context, _ models.AIConfig, system, _ string, definitions []ai.ToolDefinition, _ int, _ ai.ToolCallExecutor) (*ai.ToolLoopResult, error) {
+		if !strings.Contains(system, "published hybrid prompt") || len(definitions) != 1 || definitions[0].Name != "run_playbook" {
+			t.Fatalf("unexpected hybrid model context: system=%q definitions=%#v", system, definitions)
+		}
+		return &ai.ToolLoopResult{ChatCompletionResult: ai.ChatCompletionResult{Content: "这是自主回复。", ModelName: "test-model", PromptTokens: 5, CompletionTokens: 4}}, nil
+	}
+	summary, err := engine.Run(context.Background(), Request{
+		UserMessage: models.Message{ID: 3, Content: "普通咨询"},
+		AIAgent:     models.AIAgent{ID: 14, RuntimeMode: enums.AIAgentRuntimeModeHybrid, PublishedRevisionID: revision.ID, WorkflowVersionID: workflowVersion.ID},
+		AIConfig:    models.AIConfig{ModelName: "test-model"},
+	})
+	if err != nil {
+		t.Fatalf("Run returned error: %v", err)
+	}
+	if summary == nil || summary.AgentRunID <= 0 || summary.WorkflowRunID != 0 || summary.ReplyText != "这是自主回复。" {
+		t.Fatalf("unexpected hybrid summary: %#v", summary)
+	}
+	var run models.AgentRun
+	if err := db.First(&run, summary.AgentRunID).Error; err != nil {
+		t.Fatalf("load agent run: %v", err)
+	}
+	if run.EngineCode != "hybrid" || run.AgentRevisionID != revision.ID || run.Status != "completed" {
+		t.Fatalf("unexpected hybrid audit: %#v", run)
+	}
+}
+
+func TestHybridEngineRejectsPlaybookWhenToolPolicyDisallowsWrites(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AIWorkflowVersion{}, &models.AgentRun{}, &models.AgentStep{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	workflowVersion := &models.AIWorkflowVersion{WorkflowID: 22, Version: 1, Status: enums.StatusOk, Definition: `{"schemaVersion":2,"nodes":[{"id":"start_1","type":"start"},{"id":"end_1","type":"end"}],"edges":[{"sourceNodeID":"start_1","targetNodeID":"end_1"}]}`}
+	if err := db.Create(workflowVersion).Error; err != nil {
+		t.Fatalf("create workflow version: %v", err)
+	}
+	revision := &models.AgentRevision{AgentID: 15, Revision: 1, Status: enums.StatusOk, WorkflowVersionID: workflowVersion.ID, Definition: `{"agent":{"runtimeMode":"hybrid","systemPrompt":"published hybrid prompt","maxSteps":3,"toolPolicy":"{\"allowedRiskLevels\":[\"read\"]}"},"workflowVersionId":1}`}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	engine := NewHybridEngine()
+	engine.chatWithTools = func(ctx context.Context, _ models.AIConfig, _ string, _ string, _ []ai.ToolDefinition, _ int, execute ai.ToolCallExecutor) (*ai.ToolLoopResult, error) {
+		_, err := execute(ctx, ai.ToolCall{Name: "run_playbook", Arguments: fmt.Sprintf(`{"workflowVersionId":%d}`, workflowVersion.ID)})
+		return nil, err
+	}
+	_, err = engine.Run(context.Background(), Request{
+		UserMessage: models.Message{ID: 4, Content: "请执行受控流程"},
+		AIAgent:     models.AIAgent{ID: 15, RuntimeMode: enums.AIAgentRuntimeModeHybrid, PublishedRevisionID: revision.ID, WorkflowVersionID: workflowVersion.ID},
+		AIConfig:    models.AIConfig{ModelName: "test-model"},
+	})
+	if err == nil || !strings.Contains(err.Error(), "tool risk level is not allowed") {
+		t.Fatalf("expected tool policy rejection, got %v", err)
+	}
+}
+
+func TestIntersectAutonomousToolCodesUsesSkillWhitelist(t *testing.T) {
+	got := intersectAutonomousToolCodes([]string{"support/order_lookup", "support/create_ticket"}, []string{"support/order_lookup"})
+	if len(got) != 1 || got[0] != "support/order_lookup" {
+		t.Fatalf("intersection = %#v", got)
+	}
+}
+
+func TestParseAutonomousToolPolicyAndPerToolCount(t *testing.T) {
+	policy := parseAutonomousToolPolicy(`{"maxTotalCalls":2,"maxArgumentBytes":1024,"allowedRiskLevels":["read"]}`)
+	if policy.MaxTotalCalls != 2 || policy.MaxArgumentBytes != 1024 || len(policy.AllowedRiskLevels) != 1 {
+		t.Fatalf("unexpected policy: %#v", policy)
+	}
+	defaults := parseAutonomousToolPolicy(`{"maxTotalCalls":99,"maxArgumentBytes":999999}`)
+	if defaults.MaxTotalCalls != 3 || defaults.MaxArgumentBytes != 32*1024 {
+		t.Fatalf("invalid policy did not fall back to safe limits: %#v", defaults)
+	}
+	count := autonomousToolCallCount([]svc.EngineToolCallInput{{ToolCode: "orders/lookup"}, {ToolCode: "orders/other"}, {ToolCode: "orders/lookup"}}, "orders/lookup")
+	if count != 2 {
+		t.Fatalf("per-tool count = %d, want 2", count)
+	}
+}
+
+func TestAutonomousResponsePolicyRequestsHandoffOnlyWhenConfigured(t *testing.T) {
+	handoff := evaluateAutonomousResponsePolicy(models.AIAgent{KnowledgeIDs: "1", FallbackMode: enums.AIAgentFallbackModeHandoff}, "", nil)
+	if !handoff.Enforced || !handoff.RequestHandoff || handoff.Action != "handoff" {
+		t.Fatalf("unexpected handoff policy: %#v", handoff)
+	}
+	clarify := evaluateAutonomousResponsePolicy(models.AIAgent{KnowledgeIDs: "1", FallbackMode: enums.AIAgentFallbackModeSuggestRetry}, "", nil)
+	if !clarify.Enforced || clarify.RequestHandoff || clarify.Action != "clarify" {
+		t.Fatalf("unexpected clarify policy: %#v", clarify)
+	}
+}
+
+func TestAutonomousConversationContextToolUsesRegistryPolicy(t *testing.T) {
+	definition, result, err := executeAutonomousReadTool(context.Background(), models.Conversation{CustomerName: "张三", LastMessageSummary: "咨询退款"}, models.AIAgent{}, toolx.BuiltinConversationContext.Code, nil, aitooling.Policy{
+		AllowedToolCodes: []string{toolx.BuiltinConversationContext.Code}, AllowedRiskLevels: []string{aitooling.RiskLevelRead}, Confirmed: true,
+	})
+	if err != nil || definition.Code != toolx.BuiltinConversationContext.Code || !strings.Contains(result, `"customerName":"张三"`) {
+		t.Fatalf("unexpected conversation context tool result: definition=%#v result=%q err=%v", definition, result, err)
+	}
+	_, _, err = executeAutonomousReadTool(context.Background(), models.Conversation{}, models.AIAgent{}, toolx.BuiltinConversationContext.Code, nil, aitooling.Policy{
+		AllowedToolCodes: []string{toolx.BuiltinConversationContext.Code}, AllowedRiskLevels: []string{aitooling.RiskLevelWrite}, Confirmed: true,
+	})
+	if err == nil || !strings.Contains(err.Error(), "risk level") {
+		t.Fatalf("expected read tool risk rejection, got %v", err)
+	}
+}
+
+func TestAutonomousEngineExecutesAndAuditsConversationContextTool(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}, &models.AgentToolCall{}, &models.Message{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 13, Revision: 1}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	if err := db.Create(&models.Message{ConversationID: 1, SenderType: "customer", MessageType: "text", Content: "上一轮问题"}).Error; err != nil {
+		t.Fatalf("create prior message: %v", err)
+	}
+	engine := newAutonomousEngineWithChat(nil)
+	engine.toolChat = func(ctx context.Context, _ models.AIConfig, _, _ string, _ []ai.ToolDefinition, _ int, execute ai.ToolCallExecutor) (*ai.ToolLoopResult, error) {
+		output, err := execute(ctx, ai.ToolCall{ID: "call-1", Name: "tool_search", Arguments: `{"toolCode":"builtin/conversation_context","arguments":{}}`})
+		if err != nil || !strings.Contains(output, `"customerName":"张三"`) || !strings.Contains(output, "上一轮问题") {
+			t.Fatalf("execute tool: output=%q err=%v", output, err)
+		}
+		output, err = execute(ctx, ai.ToolCall{ID: "call-2", Name: "tool_search", Arguments: `{"toolCode":"graph/prepare_ticket_draft","arguments":{"issue":"重复扣费"}}`})
+		if err != nil || !strings.Contains(output, `"title":"重复扣费"`) {
+			t.Fatalf("execute ticket draft tool: output=%q err=%v", output, err)
+		}
+		output, err = execute(ctx, ai.ToolCall{ID: "call-3", Name: "tool_search", Arguments: `{"toolCode":"graph/analyze_conversation","arguments":{"observedIssue":"重复扣费","needTicket":true}}`})
+		if err != nil || !strings.Contains(output, `"userIntent":"ticket_request"`) {
+			t.Fatalf("execute conversation analysis tool: output=%q err=%v", output, err)
+		}
+		output, err = execute(ctx, ai.ToolCall{ID: "call-4", Name: "tool_search", Arguments: `{"toolCode":"graph/triage_service_request","arguments":{"observedIssue":"重复扣费","needTicket":true}}`})
+		if err != nil || !strings.Contains(output, `"recommendedAction":"prepare_ticket"`) || !strings.Contains(output, `"ticketDraft"`) {
+			t.Fatalf("execute service triage tool: output=%q err=%v", output, err)
+		}
+		return &ai.ToolLoopResult{ChatCompletionResult: ai.ChatCompletionResult{Content: "已查询到当前会话信息。", ModelName: "test-model"}}, nil
+	}
+	summary, err := engine.Run(context.Background(), Request{
+		Conversation: models.Conversation{ID: 1, CustomerName: "张三", LastMessageSummary: "咨询退款"}, UserMessage: models.Message{ID: 2, Content: "请查一下当前会话"},
+		AIAgent:  models.AIAgent{ID: 13, PublishedRevisionID: revision.ID, ToolPolicy: `{"maxTotalCalls":4}`, AllowedMCPTools: `[{"toolCode":"builtin/conversation_context"},{"toolCode":"graph/prepare_ticket_draft"},{"toolCode":"graph/analyze_conversation"},{"toolCode":"graph/triage_service_request"}]`},
+		AIConfig: models.AIConfig{ModelName: "test-model"},
+	})
+	if err != nil {
+		t.Fatalf("Run returned error: %v", err)
+	}
+	_, _, calls := svc.AgentRunService.GetDetail(summary.AgentRunID)
+	if len(calls) != 4 || calls[0].ToolCode != toolx.BuiltinConversationContext.Code || calls[1].ToolCode != toolx.GraphPrepareTicketDraft.Code || calls[2].ToolCode != toolx.GraphAnalyzeConversation.Code || calls[3].ToolCode != toolx.GraphTriageServiceRequest.Code || calls[3].Status != "completed" {
+		t.Fatalf("unexpected tool audit: %#v", calls)
+	}
+}
+
+func TestAutonomousEngineFallsBackAfterConsecutiveToolFailures(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}, &models.AgentToolCall{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	revision := &models.AgentRevision{AgentID: 14, Revision: 1}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	engine := newAutonomousEngineWithChat(nil)
+	engine.toolChat = func(ctx context.Context, _ models.AIConfig, _, _ string, _ []ai.ToolDefinition, _ int, execute ai.ToolCallExecutor) (*ai.ToolLoopResult, error) {
+		for _, callID := range []string{"call-1", "call-2"} {
+			_, _ = execute(ctx, ai.ToolCall{ID: callID, Name: "tool_search", Arguments: `{"toolCode":"unknown/unsafe","arguments":{}}`})
+		}
+		return &ai.ToolLoopResult{ChatCompletionResult: ai.ChatCompletionResult{Content: "model reply should be replaced", ModelName: "test-model"}}, nil
+	}
+	summary, err := engine.Run(context.Background(), Request{
+		Conversation: models.Conversation{ID: 1}, UserMessage: models.Message{ID: 2, Content: "查询订单"},
+		AIAgent:  models.AIAgent{ID: 14, PublishedRevisionID: revision.ID, FallbackMode: enums.AIAgentFallbackModeHandoff, FallbackMessage: "查询暂不可用，正在转人工。", AllowedMCPTools: `[{"toolCode":"builtin/conversation_context"}]`},
+		AIConfig: models.AIConfig{ModelName: "test-model"},
+	})
+	if err != nil {
+		t.Fatalf("Run returned error: %v", err)
+	}
+	if summary.ReplyText != "查询暂不可用，正在转人工。" || !summary.HandoffRequested {
+		t.Fatalf("expected handoff fallback after tool failures, got %#v", summary)
+	}
+	_, steps, calls := svc.AgentRunService.GetDetail(summary.AgentRunID)
+	if len(calls) != 2 || calls[0].Status != "failed" || calls[1].Status != "failed" {
+		t.Fatalf("expected failed tool audits, got %#v", calls)
+	}
+	if len(steps) < 2 || steps[len(steps)-1].StepCode != "tool_failure" || steps[len(steps)-1].OutputPreview != "handoff" {
+		t.Fatalf("expected tool failure policy audit, got %#v", steps)
+	}
+}
+
+type runtimeTestEngine struct {
+	code string
+	ran  bool
+}
+
+func (e *runtimeTestEngine) Code() string {
+	return e.code
+}
+
+func (e *runtimeTestEngine) Run(ctx context.Context, req RunInput) (*RunResult, error) {
+	e.ran = true
+	return &RunResult{Status: "completed"}, nil
+}
+
+func (e *runtimeTestEngine) Resume(ctx context.Context, req ResumeInput) (*RunResult, error) {
+	return &RunResult{Status: "completed"}, nil
+}

internal/ai/application/runtime/evaluation.go

@@ -0,0 +1,147 @@
+package runtime
+
+import (
+	"context"
+	"encoding/csv"
+	"strconv"
+	"strings"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/toolx"
+)
+
+// OfflineEvaluationCase is an isolated customer-service evaluation sample.
+// Expectations are intentionally declarative so the same baseline can evolve
+// without changing the runner's request contract.
+type OfflineEvaluationCase struct {
+	ID       string         `json:"id"`
+	Category string         `json:"category"`
+	Message  string         `json:"message"`
+	History  []string       `json:"history,omitempty"`
+	Expect   map[string]any `json:"expect,omitempty"`
+}
+
+type OfflineEvaluationResult struct {
+	CaseID      string `json:"caseId"`
+	Category    string `json:"category"`
+	EngineCode  string `json:"engineCode"`
+	Passed      bool   `json:"passed"`
+	ReplyText   string `json:"replyText"`
+	Interrupted bool   `json:"interrupted"`
+	Error       string `json:"error,omitempty"`
+	Finding     string `json:"finding,omitempty"`
+}
+
+type OfflineEvaluationReport struct {
+	EngineCode string                    `json:"engineCode"`
+	Total      int                       `json:"total"`
+	Passed     int                       `json:"passed"`
+	Results    []OfflineEvaluationResult `json:"results"`
+}
+
+// OfflineEvaluationRunner executes only isolated Debug requests. The supplied
+// runner makes it testable without a real model and lets callers choose an
+// explicit Engine implementation for mode comparison.
+type OfflineEvaluationRunner struct {
+	run func(context.Context, RunInput) (*RunResult, error)
+}
+
+func NewOfflineEvaluationRunner(run func(context.Context, RunInput) (*RunResult, error)) *OfflineEvaluationRunner {
+	return &OfflineEvaluationRunner{run: run}
+}
+
+func (r *OfflineEvaluationRunner) Run(ctx context.Context, engineCode string, agent models.AIAgent, config models.AIConfig, cases []OfflineEvaluationCase) OfflineEvaluationReport {
+	report := OfflineEvaluationReport{EngineCode: strings.TrimSpace(engineCode), Results: make([]OfflineEvaluationResult, 0, len(cases))}
+	for _, item := range cases {
+		result := OfflineEvaluationResult{CaseID: strings.TrimSpace(item.ID), Category: strings.TrimSpace(item.Category), EngineCode: report.EngineCode}
+		if r == nil || r.run == nil {
+			result.Error, result.Finding = "evaluation runner is not configured", "runner_missing"
+			report.Results = append(report.Results, result)
+			continue
+		}
+		summary, err := r.run(ctx, RunInput{
+			Conversation: models.Conversation{AIAgentID: agent.ID, LastMessageSummary: strings.Join(item.History, "\n")},
+			UserMessage:  models.Message{SenderType: enums.IMSenderTypeCustomer, MessageType: enums.IMMessageTypeText, Content: strings.TrimSpace(item.Message), RequestID: "offline-eval:" + strings.TrimSpace(item.ID)},
+			AIAgent:      agent,
+			AIConfig:     config,
+			Debug:        true,
+		})
+		if err != nil {
+			result.Error, result.Finding = err.Error(), "engine_error"
+			report.Results = append(report.Results, result)
+			continue
+		}
+		if summary != nil {
+			result.ReplyText = strings.TrimSpace(summary.ReplyText)
+			result.Interrupted = summary.Interrupted
+		}
+		result.Passed, result.Finding = evaluateOfflineCase(item.Expect, summary)
+		if result.Passed {
+			report.Passed++
+		}
+		report.Results = append(report.Results, result)
+	}
+	report.Total = len(report.Results)
+	return report
+}
+
+func (r OfflineEvaluationReport) CSV() (string, error) {
+	var output strings.Builder
+	writer := csv.NewWriter(&output)
+	if err := writer.Write([]string{"caseId", "category", "engineCode", "passed", "interrupted", "finding", "error", "replyText"}); err != nil {
+		return "", err
+	}
+	for _, item := range r.Results {
+		if err := writer.Write([]string{item.CaseID, item.Category, item.EngineCode, strconv.FormatBool(item.Passed), strconv.FormatBool(item.Interrupted), item.Finding, item.Error, item.ReplyText}); err != nil {
+			return "", err
+		}
+	}
+	writer.Flush()
+	return output.String(), writer.Error()
+}
+
+func evaluateOfflineCase(expect map[string]any, summary *RunResult) (bool, string) {
+	if summary == nil || strings.TrimSpace(summary.ReplyText) == "" {
+		return false, "empty_reply"
+	}
+	if requiresConfirmation, _ := expect["requiresConfirmation"].(bool); requiresConfirmation && !summary.Interrupted {
+		return false, "confirmation_not_reached"
+	}
+	if maxWrites, ok := evaluationExpectationInt(expect["maxWriteToolCalls"]); ok {
+		if maxWrites < 0 {
+			return false, "invalid_expectation"
+		}
+		if writeToolCalls(summary) > maxWrites {
+			return false, "write_tool_limit_exceeded"
+		}
+	}
+	return true, ""
+}
+
+func evaluationExpectationInt(value any) (int, bool) {
+	switch item := value.(type) {
+	case int:
+		return item, true
+	case int64:
+		return int(item), true
+	case float64:
+		return int(item), item == float64(int(item))
+	default:
+		return 0, false
+	}
+}
+
+func writeToolCalls(summary *RunResult) int {
+	if summary == nil {
+		return 0
+	}
+	count := 0
+	for _, code := range summary.InvokedToolCodes {
+		switch toolx.NormalizeToolCodeAlias(code) {
+		case toolx.GraphCreateTicketConfirm.Code, toolx.GraphHandoffConversation.Code:
+			count++
+		}
+	}
+	return count
+}

internal/ai/application/runtime/evaluation_test.go

@@ -0,0 +1,54 @@
+package runtime
+
+import (
+	"context"
+	"strings"
+	"testing"
+
+	"agent-desk/internal/models"
+)
+
+func TestOfflineEvaluationRunnerUsesDebugIsolationAndExportsCSV(t *testing.T) {
+	var received []RunInput
+	runner := NewOfflineEvaluationRunner(func(_ context.Context, input RunInput) (*RunResult, error) {
+		received = append(received, input)
+		return &RunResult{ReplyText: "已根据知识库回答。"}, nil
+	})
+	report := runner.Run(context.Background(), "autonomous", models.AIAgent{ID: 12}, models.AIConfig{ID: 13}, []OfflineEvaluationCase{{ID: "faq", Category: "faq", Message: "保修期多久", History: []string{"客户：你好"}}})
+	if report.Total != 1 || report.Passed != 1 || len(received) != 1 || !received[0].Debug || received[0].Conversation.ID != 0 || received[0].UserMessage.RequestID != "offline-eval:faq" {
+		t.Fatalf("unexpected report or input: report=%#v input=%#v", report, received)
+	}
+	csv, err := report.CSV()
+	if err != nil || !strings.Contains(csv, "caseId,category,engineCode") || !strings.Contains(csv, "faq,faq,autonomous,true") {
+		t.Fatalf("unexpected csv=%q err=%v", csv, err)
+	}
+}
+
+func TestOfflineEvaluationRunnerChecksConfirmationExpectation(t *testing.T) {
+	runner := NewOfflineEvaluationRunner(func(context.Context, RunInput) (*RunResult, error) {
+		return &RunResult{ReplyText: "已转人工"}, nil
+	})
+	report := runner.Run(context.Background(), "workflow", models.AIAgent{}, models.AIConfig{}, []OfflineEvaluationCase{{ID: "handoff", Expect: map[string]any{"requiresConfirmation": true}}})
+	if report.Passed != 0 || report.Results[0].Finding != "confirmation_not_reached" {
+		t.Fatalf("unexpected report: %#v", report)
+	}
+}
+
+func TestOfflineEvaluationRunnerChecksWriteToolLimit(t *testing.T) {
+	runner := NewOfflineEvaluationRunner(func(context.Context, RunInput) (*RunResult, error) {
+		return &RunResult{ReplyText: "调试回复", InvokedToolCodes: []string{"graph/handoff_to_human"}}, nil
+	})
+	report := runner.Run(context.Background(), "hybrid", models.AIAgent{}, models.AIConfig{}, []OfflineEvaluationCase{{ID: "write", Expect: map[string]any{"maxWriteToolCalls": 0}}})
+	if report.Passed != 0 || report.Results[0].Finding != "write_tool_limit_exceeded" {
+		t.Fatalf("unexpected report: %#v", report)
+	}
+}
+
+func TestServiceRunsOfflineEvaluationWithExplicitEngine(t *testing.T) {
+	engine := &runtimeTestEngine{code: "evaluation"}
+	service := NewServiceWithRegistry(NewEngineRegistry(engine))
+	report, err := service.RunOfflineEvaluation(context.Background(), "evaluation", models.AIAgent{RuntimeMode: "workflow"}, models.AIConfig{}, []OfflineEvaluationCase{{ID: "case"}})
+	if err != nil || !engine.ran || report.EngineCode != "evaluation" || report.Total != 1 {
+		t.Fatalf("unexpected evaluation report=%#v engine=%#v err=%v", report, engine, err)
+	}
+}

internal/ai/application/runtime/hybrid_engine.go

@@ -0,0 +1,221 @@
+package runtime
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"strings"
+	"time"
+
+	ai "agent-desk/internal/ai"
+	aitooling "agent-desk/internal/ai/tooling"
+	"agent-desk/internal/ai/runtime/instruction"
+	workflowregistry "agent-desk/internal/ai/workflow/registry"
+	workflowvalidator "agent-desk/internal/ai/workflow/validator"
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/errorsx"
+	"agent-desk/internal/pkg/utils"
+	svc "agent-desk/internal/services"
+
+	"github.com/mlogclub/simple/sqls"
+)
+
+const hybridPlaybookToolCode = "playbook/run"
+
+// HybridEngine lets the model choose whether to enter the Agent's one bound
+// deterministic Playbook. The Playbook itself is always run by WorkflowEngine.
+type HybridEngine struct {
+	chatWithTools func(context.Context, models.AIConfig, string, string, []ai.ToolDefinition, int, ai.ToolCallExecutor) (*ai.ToolLoopResult, error)
+	autonomous    *AutonomousEngine
+	workflow      *WorkflowEngine
+}
+
+func NewHybridEngine() *HybridEngine {
+	return &HybridEngine{
+		chatWithTools: ai.LLM.ChatWithTools,
+		autonomous:    NewAutonomousEngine(),
+		workflow:      NewWorkflowEngine(),
+	}
+}
+
+func (e *HybridEngine) Code() string {
+	return "hybrid"
+}
+
+func (e *HybridEngine) Run(ctx context.Context, req RunInput) (*RunResult, error) {
+	startedAt := time.Now()
+	req.UserMessage.Content = utils.BuildRuntimeMessageText(req.UserMessage.MessageType, req.UserMessage.Content)
+	snapshot, err := svc.AgentRevisionService.ResolvePublishedSnapshot(req.AIAgent, req.AIConfig)
+	if err != nil {
+		return nil, err
+	}
+	req.AIAgent, req.AIConfig = snapshot.Agent, snapshot.AIConfig
+	if req.AIAgent.WorkflowVersionID <= 0 {
+		return nil, errorsx.InvalidParam("hybrid agent requires a published playbook workflow")
+	}
+	workflow, err := resolveAgentWorkflow(req.AIAgent)
+	if err != nil {
+		return nil, err
+	}
+	if result := workflowvalidator.ValidateDefinition(workflow.Definition, workflowregistry.DefaultRegistry()); !result.Valid {
+		return nil, errorsx.InvalidParam("hybrid agent playbook validation failed")
+	}
+
+	skillContext := e.autonomous.selectSkill(ctx, req)
+	knowledgeContext, retrieverCount, retrieveErr := e.autonomous.retrieveKnowledge(ctx, req.AIAgent, req.UserMessage.Content)
+	responsePolicy := evaluateAutonomousResponsePolicy(req.AIAgent, knowledgeContext, retrieveErr)
+	if responsePolicy.Enforced {
+		return writeHybridResult(req, startedAt, &ai.ChatCompletionResult{Content: responsePolicy.ReplyText, ModelName: req.AIConfig.ModelName}, "", 0, retrieverCount, skillContext, nil, responsePolicy, nil)
+	}
+	systemPrompt := buildAutonomousSystemPrompt(req.AIAgent, len(utils.SplitInt64s(req.AIAgent.KnowledgeIDs)) > 0, knowledgeContext, retrieveErr)
+	if skillInstruction := strings.TrimSpace(instruction.BuildSkillDocument(skillContext.Skill, nil)); skillInstruction != "" {
+		systemPrompt += "\n\nSkill instructions:\n" + skillInstruction
+	}
+	systemPrompt += "\n\nWhen a deterministic process is required, use run_playbook. Do not call it for ordinary factual questions."
+	userPrompt, historyCount := e.autonomous.buildUserPrompt(req)
+	if knowledgeContext != "" {
+		userPrompt += "\n\nKnowledge evidence:\n" + knowledgeContext
+	}
+
+	var playbookSummary *Summary
+	toolCalls := make([]svc.EngineToolCallInput, 0, 1)
+	toolPolicy := parseAutonomousToolPolicy(req.AIAgent.ToolPolicy)
+	loop, err := e.chatWithTools(ctx, req.AIConfig, systemPrompt, userPrompt, []ai.ToolDefinition{hybridPlaybookToolDefinition(req.AIAgent.WorkflowVersionID)}, req.AIAgent.MaxSteps, func(ctx context.Context, call ai.ToolCall) (string, error) {
+		if call.Name != "run_playbook" {
+			return "", fmt.Errorf("unsupported hybrid tool: %s", call.Name)
+		}
+		if len(toolCalls) >= 1 {
+			return "", fmt.Errorf("playbook call limit reached")
+		}
+		workflowVersionID, err := parseHybridPlaybookCall(call.Arguments)
+		if err != nil {
+			return "", err
+		}
+		if workflowVersionID != req.AIAgent.WorkflowVersionID {
+			return "", fmt.Errorf("playbook is not allowed")
+		}
+		playbookDefinition := aitooling.Definition{Code: hybridPlaybookToolCode, Name: "run_playbook", RiskLevel: aitooling.RiskLevelWrite, RequireConfirmation: true, MaxCallsPerRun: 1}
+		if err := aitooling.DefaultRegistry.Authorize(playbookDefinition, aitooling.Policy{
+			AllowedRiskLevels: toolPolicy.AllowedRiskLevels,
+			CallCount:         len(toolCalls),
+			TotalCallCount:    len(toolCalls),
+			MaxTotalCalls:     1,
+			Confirmed:         true, // Workflow validation guarantees a human-confirm predecessor for high-risk nodes.
+		}); err != nil {
+			return "", err
+		}
+		callStartedAt := time.Now()
+		playbookSummary, err = e.workflow.Run(ctx, req)
+		toolRecord := svc.EngineToolCallInput{ToolCode: hybridPlaybookToolCode, RiskLevel: "write", RequireConfirm: true, ArgumentsPreview: call.Arguments, DurationMS: int(time.Since(callStartedAt).Milliseconds())}
+		if err != nil {
+			toolRecord.Status, toolRecord.ErrorMessage = "failed", err.Error()
+			toolCalls = append(toolCalls, toolRecord)
+			return "", err
+		}
+		toolRecord.Status = "completed"
+		toolRecord.ResultPreview = fmt.Sprintf("workflowRunId=%d status=%s", playbookSummary.WorkflowRunID, playbookSummary.Status)
+		toolCalls = append(toolCalls, toolRecord)
+		data, _ := json.Marshal(map[string]any{"workflowRunId": playbookSummary.WorkflowRunID, "status": playbookSummary.Status, "replyText": playbookSummary.ReplyText, "interrupted": playbookSummary.Interrupted})
+		return string(data), nil
+	})
+	if err != nil {
+		_, _ = writeHybridAudit(req, startedAt, nil, userPrompt, historyCount, retrieverCount, skillContext, toolCalls, responsePolicy, false, err)
+		return nil, err
+	}
+	if playbookSummary != nil && playbookSummary.Interrupted {
+		runID, auditErr := writeHybridAudit(req, startedAt, &ai.ChatCompletionResult{Content: playbookSummary.ReplyText, ModelName: playbookSummary.ModelName, PromptTokens: playbookSummary.PromptTokens, CompletionTokens: playbookSummary.CompletionTokens}, userPrompt, historyCount, retrieverCount, skillContext, toolCalls, responsePolicy, true, nil)
+		if auditErr != nil {
+			return nil, auditErr
+		}
+		playbookSummary.AgentRunID = runID
+		return playbookSummary, nil
+	}
+	if loop == nil || strings.TrimSpace(loop.Content) == "" {
+		err = errorsx.InvalidParam("hybrid engine returned an empty reply")
+		_, _ = writeHybridAudit(req, startedAt, nil, userPrompt, historyCount, retrieverCount, skillContext, toolCalls, responsePolicy, false, err)
+		return nil, err
+	}
+	return writeHybridResult(req, startedAt, &loop.ChatCompletionResult, userPrompt, historyCount, retrieverCount, skillContext, playbookSummary, responsePolicy, toolCalls)
+}
+
+func (e *HybridEngine) Resume(ctx context.Context, req ResumeInput) (*RunResult, error) {
+	interrupt := svc.ConversationInterruptService.GetByCheckPointID(req.CheckPointID)
+	summary, err := e.workflow.Resume(ctx, req)
+	if err != nil || summary == nil || interrupt == nil || interrupt.AgentRunID <= 0 {
+		return summary, err
+	}
+	if err := sqls.WithTransaction(func(tx *sqls.TxContext) error {
+		return svc.AgentRunService.RecordHybridPlaybookResume(tx.Tx, interrupt.AgentRunID, summary.WorkflowRunID, summary.Status, summary.ReplyText)
+	}); err != nil {
+		return nil, err
+	}
+	// The resumed WorkflowRun is a child audit artifact. Keep the original
+	// Hybrid run as the summary run surfaced to the conversation caller.
+	summary.AgentRunID = interrupt.AgentRunID
+	return summary, nil
+}
+
+func hybridPlaybookToolDefinition(workflowVersionID int64) ai.ToolDefinition {
+	return ai.ToolDefinition{Name: "run_playbook", Description: "Run the Agent's published deterministic Playbook when the customer needs a controlled business action.", Parameters: map[string]any{
+		"type": "object", "properties": map[string]any{"workflowVersionId": map[string]any{"type": "integer", "description": "The bound Playbook version."}}, "required": []string{"workflowVersionId"},
+	}}
+}
+
+func parseHybridPlaybookCall(raw string) (int64, error) {
+	var input struct {
+		WorkflowVersionID int64 `json:"workflowVersionId"`
+	}
+	if err := json.Unmarshal([]byte(raw), &input); err != nil || input.WorkflowVersionID <= 0 {
+		return 0, errorsx.InvalidParam("invalid playbook call")
+	}
+	return input.WorkflowVersionID, nil
+}
+
+func writeHybridResult(req Request, startedAt time.Time, result *ai.ChatCompletionResult, inputPreview string, historyCount, retrieverCount int, skillContext autonomousSkillContext, playbook *Summary, responsePolicy autonomousResponsePolicy, toolCalls []svc.EngineToolCallInput) (*Summary, error) {
+	runID, err := writeHybridAudit(req, startedAt, result, inputPreview, historyCount, retrieverCount, skillContext, toolCalls, responsePolicy, false, nil)
+	if err != nil {
+		return nil, err
+	}
+	return &Summary{Status: "completed", ReplyText: strings.TrimSpace(result.Content), ModelName: result.ModelName, PromptTokens: result.PromptTokens, CompletionTokens: result.CompletionTokens, HistoryMessageCount: historyCount, RetrieverCount: retrieverCount, AgentRunID: runID, WorkflowRunID: workflowRunIDFromSummary(playbook)}, nil
+}
+
+func writeHybridAudit(req Request, startedAt time.Time, result *ai.ChatCompletionResult, inputPreview string, historyCount, retrieverCount int, skillContext autonomousSkillContext, toolCalls []svc.EngineToolCallInput, responsePolicy autonomousResponsePolicy, interrupted bool, cause error) (int64, error) {
+	endedAt := time.Now()
+	status, errorMessage, outputPreview := "completed", "", ""
+	promptTokens, completionTokens := 0, 0
+	if interrupted {
+		status = "interrupted"
+	} else if cause != nil {
+		status, errorMessage = "failed", cause.Error()
+	} else if result != nil {
+		outputPreview, promptTokens, completionTokens = strings.TrimSpace(result.Content), result.PromptTokens, result.CompletionTokens
+	}
+	steps := autonomousAdditionalSteps(req, retrieverCount, nil, skillContext, responsePolicy)
+	for _, call := range toolCalls {
+		if call.ToolCode == hybridPlaybookToolCode {
+			steps = append(steps, svc.EngineStepInput{StepType: "playbook", StepCode: hybridPlaybookToolCode, WorkflowRunID: workflowRunIDFromToolResult(call.ResultPreview), Status: call.Status, InputPreview: call.ArgumentsPreview, OutputPreview: call.ResultPreview, ErrorMessage: call.ErrorMessage})
+		}
+	}
+	var runID int64
+	err := sqls.WithTransaction(func(tx *sqls.TxContext) error {
+		var recordErr error
+		runID, recordErr = svc.AgentRunService.RecordEngineRun(tx.Tx, svc.EngineAgentRunInput{ConversationID: req.Conversation.ID, AIAgentID: req.AIAgent.ID, AgentRevisionID: req.AIAgent.PublishedRevisionID, SourceMessageID: req.UserMessage.ID, EngineCode: "hybrid", Status: status, PromptTokens: promptTokens, CompletionTokens: completionTokens, StartedAt: startedAt, EndedAt: &endedAt, ErrorMessage: errorMessage, TraceData: `{"engine":"hybrid"}`, StepType: "model", StepCode: "chat_completion", StepInputPreview: inputPreview, StepOutputPreview: outputPreview, AdditionalSteps: steps, ToolCalls: toolCalls})
+		return recordErr
+	})
+	return runID, err
+}
+
+func workflowRunIDFromSummary(summary *Summary) int64 {
+	if summary == nil {
+		return 0
+	}
+	return summary.WorkflowRunID
+}
+
+func workflowRunIDFromToolResult(value string) int64 {
+	var id int64
+	_, _ = fmt.Sscanf(value, "workflowRunId=%d", &id)
+	return id
+}
+
+var _ Engine = (*HybridEngine)(nil)

internal/ai/application/runtime/service.go

@@ -8,14 +8,15 @@ import (
 
 	workflowexecutor "agent-desk/internal/ai/runtime/workflow"
 	"agent-desk/internal/models"
-	"agent-desk/internal/pkg/errorsx"
-	"agent-desk/internal/pkg/utils"
+	"agent-desk/internal/pkg/enums"
 	"agent-desk/internal/repositories"
+	svc "agent-desk/internal/services"
 
 	"github.com/mlogclub/simple/sqls"
 )
 
 type Service struct {
+	registry *EngineRegistry
 }
 
 const (
@@ -25,91 +26,46 @@ const (
 )
 
 func NewService() *Service {
-	return &Service{}
+	return NewServiceWithRegistry(NewDefaultEngineRegistry())
 }
 
-func (s *Service) Run(ctx context.Context, req Request) (*Summary, error) {
-	req.UserMessage.Content = utils.BuildRuntimeMessageText(req.UserMessage.MessageType, req.UserMessage.Content)
-	aiAgent, workflow, err := prepareWorkflowAgent(req.AIAgent)
-	if err != nil {
-		_, _ = writeWorkflowPrepareFailedRun(req, err.Error())
-		return nil, err
-	}
-	req.AIAgent = aiAgent
-	workflowResult, err := workflowexecutor.NewExecutor().Execute(ctx, workflowexecutor.Input{
-		Definition:   workflow.Definition,
-		Conversation: req.Conversation,
-		UserMessage:  req.UserMessage,
-		AIAgent:      req.AIAgent,
-		AIConfig:     req.AIConfig,
-	})
-	if err != nil {
-		if workflowResult != nil {
-			_, _ = writeWorkflowRun(req, workflow, workflowResult, err.Error())
-		}
-		return nil, err
-	}
-	workflowRunID, err := writeWorkflowRun(req, workflow, workflowResult, "")
+func NewServiceWithRegistry(registry *EngineRegistry) *Service {
+	return &Service{registry: registry}
+}
+
+func (s *Service) Run(ctx context.Context, req RunInput) (*RunResult, error) {
+	engine, err := s.registry.Resolve(resolveEngineCode(req.AIAgent.RuntimeMode))
 	if err != nil {
 		return nil, err
 	}
-	return toWorkflowSummary(workflowResult, req.AIConfig.ModelName, workflow, workflowRunID), nil
+	return engine.Run(ctx, req)
 }
 
-func (s *Service) Resume(ctx context.Context, req ResumeRequest) (*Summary, error) {
-	aiAgent, workflow, err := prepareWorkflowAgent(req.AIAgent)
+func (s *Service) Resume(ctx context.Context, req ResumeInput) (*RunResult, error) {
+	engine, err := s.registry.Resolve(resolveEngineCode(req.AIAgent.RuntimeMode))
 	if err != nil {
 		return nil, err
 	}
-	req.AIAgent = aiAgent
-	if interrupt := repositories.ConversationInterruptRepository.GetByCheckPointID(sqls.DB(), req.CheckPointID); interrupt != nil {
-		if strings.TrimSpace(interrupt.RequestData) == "" {
-			if interrupt.WorkflowRunID > 0 || strings.HasPrefix(strings.TrimSpace(req.CheckPointID), "workflow:") {
-				return nil, errorsx.InvalidParam("workflow checkpoint data is required")
-			}
-		} else {
-			workflowResult, err := workflowexecutor.NewExecutor().Resume(ctx, workflowexecutor.Input{
-				Definition:   workflow.Definition,
-				Conversation: req.Conversation,
-				AIAgent:      req.AIAgent,
-				AIConfig:     req.AIConfig,
-			}, interrupt.RequestData, firstWorkflowResumeText(req.ResumeData))
-			if err != nil {
-				if workflowResult != nil {
-					_, _ = writeWorkflowRunWithExistingID(Request{
-						Conversation: req.Conversation,
-						UserMessage:  req.UserMessage,
-						AIAgent:      req.AIAgent,
-						AIConfig:     req.AIConfig,
-					}, workflow, workflowResult, err.Error(), interrupt.WorkflowRunID)
-				}
-				return nil, err
-			}
-			workflowRunID, err := writeWorkflowRunWithExistingID(Request{
-				Conversation: req.Conversation,
-				UserMessage:  req.UserMessage,
-				AIAgent:      req.AIAgent,
-				AIConfig:     req.AIConfig,
-			}, workflow, workflowResult, "", interrupt.WorkflowRunID)
-			if err != nil {
-				return nil, err
-			}
-			return toWorkflowSummary(workflowResult, req.AIConfig.ModelName, workflow, workflowRunID), nil
-		}
-	}
-	return nil, errorsx.InvalidParam("legacy checkpoint is not supported; please start a new workflow reply")
+	return engine.Resume(ctx, req)
 }
 
-func firstWorkflowResumeText(data map[string]string) string {
-	for _, value := range data {
-		if strings.TrimSpace(value) != "" {
-			return strings.TrimSpace(value)
-		}
+// RunOfflineEvaluation executes an explicitly selected Engine against isolated
+// Debug inputs. It does not rely on the Agent's configured runtime mode, which
+// makes Workflow/Autonomous/Hybrid comparisons possible against one revision.
+func (s *Service) RunOfflineEvaluation(ctx context.Context, engineCode string, agent models.AIAgent, config models.AIConfig, cases []OfflineEvaluationCase) (OfflineEvaluationReport, error) {
+	engine, err := s.registry.Resolve(strings.TrimSpace(engineCode))
+	if err != nil {
+		return OfflineEvaluationReport{EngineCode: strings.TrimSpace(engineCode)}, err
 	}
-	return ""
+	runner := NewOfflineEvaluationRunner(engine.Run)
+	return runner.Run(ctx, engine.Code(), agent, config, cases), nil
 }
 
-func toWorkflowSummary(result *workflowexecutor.Result, modelName string, workflow resolvedWorkflow, workflowRunID int64) *Summary {
+func resolveEngineCode(mode enums.AIAgentRuntimeMode) string {
+	return strings.TrimSpace(string(mode))
+}
+
+func toWorkflowSummary(result *workflowexecutor.Result, modelName string, workflow resolvedWorkflow, workflowRunID int64, agentRunID int64) *Summary {
 	if result == nil {
 		return nil
 	}
@@ -131,6 +87,7 @@ func toWorkflowSummary(result *workflowexecutor.Result, modelName string, workfl
 		WorkflowID:        workflow.WorkflowID,
 		WorkflowVersionID: workflow.VersionID,
 		WorkflowRunID:     workflowRunID,
+		AgentRunID:        agentRunID,
 		WorkflowNodePath:  append([]string(nil), result.NodePath...),
 		TraceData:         string(traceData),
 		CheckPointID:      result.CheckPointID,
@@ -155,7 +112,7 @@ func toWorkflowInterruptSummaries(items []workflowexecutor.InterruptSummary) []I
 	return ret
 }
 
-func writeWorkflowRun(req Request, workflow resolvedWorkflow, result *workflowexecutor.Result, errorMessage string) (int64, error) {
+func writeWorkflowRun(req Request, workflow resolvedWorkflow, result *workflowexecutor.Result, errorMessage string) (int64, int64, error) {
 	return writeWorkflowRunWithExistingID(req, workflow, result, errorMessage, 0)
 }
 
@@ -180,15 +137,38 @@ func writeWorkflowPrepareFailedRun(req Request, errorMessage string) (int64, err
 		EndedAt:           &endedAt,
 		ErrorMessage:      errorMessage,
 	}
-	if err := repositories.AIWorkflowRunRepository.Create(sqls.DB(), run); err != nil {
-		return 0, err
-	}
-	return run.ID, nil
+	err := sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		if err := repositories.AIWorkflowRunRepository.Create(ctx.Tx, run); err != nil {
+			return err
+		}
+		traceData, _ := json.Marshal(map[string]any{
+			"status":            "error",
+			"workflowId":        workflowID,
+			"workflowVersionId": workflowVersionID,
+			"workflowRunId":     run.ID,
+		})
+		_, err := svc.AgentRunService.RecordWorkflowRun(ctx.Tx, svc.WorkflowAgentRunInput{
+			WorkflowRunID:     run.ID,
+			WorkflowVersionID: workflowVersionID,
+			ConversationID:    req.Conversation.ID,
+			AIAgentID:         req.AIAgent.ID,
+			SourceMessageID:   req.UserMessage.ID,
+			Status:            "failed",
+			StartedAt:         now,
+			EndedAt:           &endedAt,
+			ErrorMessage:      errorMessage,
+			TraceData:         string(traceData),
+			StepInputPreview:  "workflow preparation",
+			StepOutputPreview: "",
+		})
+		return err
+	})
+	return run.ID, err
 }
 
-func writeWorkflowRunWithExistingID(req Request, workflow resolvedWorkflow, result *workflowexecutor.Result, errorMessage string, existingRunID int64) (int64, error) {
+func writeWorkflowRunWithExistingID(req Request, workflow resolvedWorkflow, result *workflowexecutor.Result, errorMessage string, existingRunID int64) (int64, int64, error) {
 	if result == nil {
-		return 0, nil
+		return 0, 0, nil
 	}
 	now := time.Now()
 	endedAt := now
@@ -198,6 +178,7 @@ func writeWorkflowRunWithExistingID(req Request, workflow resolvedWorkflow, resu
 	}
 	runStatus := workflowRunStatus(result.Status, errorMessage)
 	var runID int64
+	var agentRunID int64
 	err := sqls.WithTransaction(func(ctx *sqls.TxContext) error {
 		run := repositories.AIWorkflowRunRepository.Get(ctx.Tx, existingRunID)
 		if run == nil {
@@ -249,9 +230,46 @@ func writeWorkflowRunWithExistingID(req Request, workflow resolvedWorkflow, resu
 				return err
 			}
 		}
+		traceData, _ := json.Marshal(map[string]any{
+			"status":            result.Status,
+			"workflowId":        workflow.WorkflowID,
+			"workflowVersionId": workflow.VersionID,
+			"workflowRunId":     run.ID,
+			"nodePath":          result.NodePath,
+		})
+		createdAgentRunID, recordErr := svc.AgentRunService.RecordWorkflowRun(ctx.Tx, svc.WorkflowAgentRunInput{
+			WorkflowRunID:     run.ID,
+			WorkflowVersionID: workflow.VersionID,
+			ConversationID:    req.Conversation.ID,
+			AIAgentID:         req.AIAgent.ID,
+			SourceMessageID:   req.UserMessage.ID,
+			Status:            workflowAgentRunStatus(result.Status, errorMessage),
+			PromptTokens:      result.PromptTokens,
+			CompletionTokens:  result.CompletionTokens,
+			StartedAt:         now,
+			EndedAt:           &endedAt,
+			ErrorMessage:      errorMessage,
+			TraceData:         string(traceData),
+			StepInputPreview:  "workflow execution",
+			StepOutputPreview: strings.Join(result.NodePath, ","),
+		})
+		if recordErr != nil {
+			return recordErr
+		}
+		agentRunID = createdAgentRunID
 		return nil
 	})
-	return runID, err
+	return runID, agentRunID, err
+}
+
+func workflowAgentRunStatus(status string, errorMessage string) string {
+	if strings.TrimSpace(errorMessage) != "" || strings.TrimSpace(status) == "error" {
+		return "failed"
+	}
+	if strings.TrimSpace(status) == "interrupted" {
+		return "interrupted"
+	}
+	return "completed"
 }
 
 func workflowRunStatus(status string, errorMessage string) int {

internal/ai/application/runtime/types.go

@@ -2,32 +2,49 @@ package runtime
 
 import (
 	"agent-desk/internal/models"
+	"time"
 )
 
-type Request struct {
+// RunInput is the normalized, fully prepared input shared by all Engine
+// implementations. Persistent adapters load this object before dispatching
+// into the runtime.
+type RunInput struct {
 	Conversation models.Conversation
 	UserMessage  models.Message
 	AIAgent      models.AIAgent
 	AIConfig     models.AIConfig
 	CheckPointID string
+	Debug        bool
 }
 
-type ResumeRequest struct {
+// Request remains as a compatibility alias while callers move to RunInput.
+type Request = RunInput
+
+// ResumeInput extends the prepared input with an approved interrupt payload.
+// It deliberately carries the same persisted context as RunInput so resume
+// semantics are consistent across Workflow, Autonomous, and Hybrid engines.
+type ResumeInput struct {
 	Conversation models.Conversation
 	UserMessage  models.Message
 	AIAgent      models.AIAgent
 	AIConfig     models.AIConfig
 	CheckPointID string
 	ResumeData   map[string]string
+	Debug        bool
 }
 
+// ResumeRequest remains as a compatibility alias while callers move to ResumeInput.
+type ResumeRequest = ResumeInput
+
 type InterruptContextSummary struct {
 	Type        string `json:"type,omitempty"`
 	ID          string `json:"id"`
 	InfoPreview string `json:"infoPreview,omitempty"`
 }
 
-type Summary struct {
+// RunResult is the normalized result returned by every Engine. Engine-specific
+// details are represented by optional fields rather than engine-specific DTOs.
+type RunResult struct {
 	RunID                 string
 	Status                string
 	ReplyText             string
@@ -47,11 +64,39 @@ type Summary struct {
 	WorkflowID            int64
 	WorkflowVersionID     int64
 	WorkflowRunID         int64
+	AgentRunID            int64
 	WorkflowNodePath      []string
 	CheckPointID          string
 	CheckPointData        string
 	Interrupted           bool
+	HandoffRequested      bool
 	Interrupts            []InterruptContextSummary
 	TraceData             string
 	ErrorMessage          string
 }
+
+// Summary remains as a compatibility alias while callers move to RunResult.
+type Summary = RunResult
+
+type StreamEventType string
+
+const (
+	StreamEventStarted   StreamEventType = "started"
+	StreamEventStep      StreamEventType = "step"
+	StreamEventOutput    StreamEventType = "output"
+	StreamEventCompleted StreamEventType = "completed"
+	StreamEventFailed    StreamEventType = "failed"
+)
+
+// StreamEvent is the transport-neutral event contract for future streaming
+// endpoints. Engines may emit partial output, audit steps, or a terminal state
+// without exposing engine-specific event payloads to callers.
+type StreamEvent struct {
+	Type       StreamEventType `json:"type"`
+	RunID      string          `json:"runId,omitempty"`
+	AgentRunID int64           `json:"agentRunId,omitempty"`
+	StepCode   string          `json:"stepCode,omitempty"`
+	Content    string          `json:"content,omitempty"`
+	Error      string          `json:"error,omitempty"`
+	OccurredAt time.Time       `json:"occurredAt"`
+}

internal/ai/application/runtime/workflow_engine.go

@@ -0,0 +1,112 @@
+package runtime
+
+import (
+	"context"
+	"strings"
+
+	workflowexecutor "agent-desk/internal/ai/runtime/workflow"
+	"agent-desk/internal/pkg/errorsx"
+	"agent-desk/internal/pkg/utils"
+	"agent-desk/internal/repositories"
+
+	"github.com/mlogclub/simple/sqls"
+)
+
+// WorkflowEngine preserves the existing FlowGram DSL execution path as the
+// first Agent Runtime engine. It remains the compatibility default for agents
+// created before autonomous and hybrid modes are available.
+type WorkflowEngine struct{}
+
+func NewWorkflowEngine() *WorkflowEngine {
+	return &WorkflowEngine{}
+}
+
+func (e *WorkflowEngine) Code() string {
+	return EngineCodeWorkflow
+}
+
+func (e *WorkflowEngine) Run(ctx context.Context, req RunInput) (*RunResult, error) {
+	req.UserMessage.Content = utils.BuildRuntimeMessageText(req.UserMessage.MessageType, req.UserMessage.Content)
+	aiAgent, workflow, err := prepareWorkflowAgent(req.AIAgent)
+	if err != nil {
+		_, _ = writeWorkflowPrepareFailedRun(req, err.Error())
+		return nil, err
+	}
+	req.AIAgent = aiAgent
+	workflowResult, err := workflowexecutor.NewExecutor().Execute(ctx, workflowexecutor.Input{
+		Definition:   workflow.Definition,
+		Conversation: req.Conversation,
+		UserMessage:  req.UserMessage,
+		AIAgent:      req.AIAgent,
+		AIConfig:     req.AIConfig,
+		Debug:        req.Debug,
+	})
+	if err != nil {
+		if workflowResult != nil {
+			_, _, _ = writeWorkflowRun(req, workflow, workflowResult, err.Error())
+		}
+		return nil, err
+	}
+	workflowRunID, agentRunID, err := writeWorkflowRun(req, workflow, workflowResult, "")
+	if err != nil {
+		return nil, err
+	}
+	return toWorkflowSummary(workflowResult, req.AIConfig.ModelName, workflow, workflowRunID, agentRunID), nil
+}
+
+func (e *WorkflowEngine) Resume(ctx context.Context, req ResumeInput) (*RunResult, error) {
+	aiAgent, workflow, err := prepareWorkflowAgent(req.AIAgent)
+	if err != nil {
+		return nil, err
+	}
+	req.AIAgent = aiAgent
+	interrupt := repositories.ConversationInterruptRepository.GetByCheckPointID(sqls.DB(), req.CheckPointID)
+	if interrupt == nil {
+		return nil, errorsx.InvalidParam("legacy checkpoint is not supported; please start a new workflow reply")
+	}
+	if strings.TrimSpace(interrupt.RequestData) == "" {
+		if interrupt.WorkflowRunID > 0 || strings.HasPrefix(strings.TrimSpace(req.CheckPointID), "workflow:") {
+			return nil, errorsx.InvalidParam("workflow checkpoint data is required")
+		}
+		return nil, errorsx.InvalidParam("legacy checkpoint is not supported; please start a new workflow reply")
+	}
+	workflowResult, err := workflowexecutor.NewExecutor().Resume(ctx, workflowexecutor.Input{
+		Definition:   workflow.Definition,
+		Conversation: req.Conversation,
+		AIAgent:      req.AIAgent,
+		AIConfig:     req.AIConfig,
+		Debug:        req.Debug,
+	}, interrupt.RequestData, firstWorkflowResumeText(req.ResumeData))
+	if err != nil {
+		if workflowResult != nil {
+			_, _, _ = writeWorkflowRunWithExistingID(Request{
+				Conversation: req.Conversation,
+				UserMessage:  req.UserMessage,
+				AIAgent:      req.AIAgent,
+				AIConfig:     req.AIConfig,
+			}, workflow, workflowResult, err.Error(), interrupt.WorkflowRunID)
+		}
+		return nil, err
+	}
+	workflowRunID, agentRunID, err := writeWorkflowRunWithExistingID(Request{
+		Conversation: req.Conversation,
+		UserMessage:  req.UserMessage,
+		AIAgent:      req.AIAgent,
+		AIConfig:     req.AIConfig,
+	}, workflow, workflowResult, "", interrupt.WorkflowRunID)
+	if err != nil {
+		return nil, err
+	}
+	return toWorkflowSummary(workflowResult, req.AIConfig.ModelName, workflow, workflowRunID, agentRunID), nil
+}
+
+func firstWorkflowResumeText(data map[string]string) string {
+	for _, value := range data {
+		if strings.TrimSpace(value) != "" {
+			return strings.TrimSpace(value)
+		}
+	}
+	return ""
+}
+
+var _ Engine = (*WorkflowEngine)(nil)

internal/ai/application/runtime/workflow_summary_test.go

@@ -5,12 +5,14 @@ import (
 	"encoding/json"
 	"strings"
 	"testing"
+	"time"
 
 	workflowexecutor "agent-desk/internal/ai/runtime/workflow"
 	"agent-desk/internal/ai/workflow/dsl"
 	workflowregistry "agent-desk/internal/ai/workflow/registry"
 	"agent-desk/internal/models"
 	"agent-desk/internal/pkg/enums"
+	svc "agent-desk/internal/services"
 
 	"github.com/glebarez/sqlite"
 	"github.com/mlogclub/simple/sqls"
@@ -27,7 +29,7 @@ func TestToWorkflowSummaryPreservesInterruptCheckpoint(t *testing.T) {
 		Interrupts: []workflowexecutor.InterruptSummary{
 			{Type: "human_confirm", ID: "confirm_1", InfoPreview: `{"message":"请确认"}`},
 		},
-	}, "test-model", resolvedWorkflow{WorkflowID: 11, VersionID: 22}, 33)
+	}, "test-model", resolvedWorkflow{WorkflowID: 11, VersionID: 22}, 33, 44)
 
 	if summary == nil || !summary.Interrupted {
 		t.Fatalf("expected interrupted summary, got %#v", summary)
@@ -41,6 +43,9 @@ func TestToWorkflowSummaryPreservesInterruptCheckpoint(t *testing.T) {
 	if summary.WorkflowID != 11 || summary.WorkflowVersionID != 22 || summary.WorkflowRunID != 33 {
 		t.Fatalf("unexpected workflow identity: workflow=%d version=%d run=%d", summary.WorkflowID, summary.WorkflowVersionID, summary.WorkflowRunID)
 	}
+	if summary.AgentRunID != 44 {
+		t.Fatalf("unexpected agent run id: %d", summary.AgentRunID)
+	}
 	if len(summary.Interrupts) != 1 || summary.Interrupts[0].ID != "confirm_1" {
 		t.Fatalf("unexpected interrupts: %#v", summary.Interrupts)
 	}
@@ -125,6 +130,9 @@ func TestServiceResumeUsesWorkflowCheckpointData(t *testing.T) {
 	if summary.WorkflowRunID <= 0 {
 		t.Fatalf("expected workflow run id in resume summary")
 	}
+	if summary.AgentRunID <= 0 {
+		t.Fatalf("expected generic agent run id in resume summary")
+	}
 	var run models.AIWorkflowRun
 	if err := db.First(&run, summary.WorkflowRunID).Error; err != nil {
 		t.Fatalf("find resume workflow run: %v", err)
@@ -132,6 +140,68 @@ func TestServiceResumeUsesWorkflowCheckpointData(t *testing.T) {
 	if run.MessageID != 2 || run.Status != workflowRunStatusCompleted {
 		t.Fatalf("unexpected resume workflow run: %#v", run)
 	}
+	var agentRun models.AgentRun
+	if err := db.First(&agentRun, "workflow_run_id = ?", summary.WorkflowRunID).Error; err != nil {
+		t.Fatalf("find generic agent run: %v", err)
+	}
+	if agentRun.EngineCode != EngineCodeWorkflow || agentRun.Status != "completed" {
+		t.Fatalf("unexpected generic agent run: %#v", agentRun)
+	}
+	var stepCount int64
+	if err := db.Model(&models.AgentStep{}).Where("agent_run_id = ?", agentRun.ID).Count(&stepCount).Error; err != nil {
+		t.Fatalf("count generic agent steps: %v", err)
+	}
+	if stepCount != 1 {
+		t.Fatalf("expected one generic agent step, got %d", stepCount)
+	}
+}
+
+func TestHybridEngineResumeCompletesOriginalAgentRun(t *testing.T) {
+	db := setupWorkflowResumeTestDB(t)
+	def := runtimeHumanConfirmDefinition()
+	version := models.AIWorkflowVersion{
+		WorkflowID: 1,
+		Version:    1,
+		Status:     enums.StatusOk,
+		Definition: mustMarshalDefinition(t, def),
+	}
+	if err := db.Create(&version).Error; err != nil {
+		t.Fatalf("create workflow version: %v", err)
+	}
+	startedAt := time.Now()
+	hybridRun := models.AgentRun{AIAgentID: 1, EngineCode: "hybrid", Status: "interrupted", StartedAt: startedAt, EndedAt: &startedAt, CreatedAt: startedAt, UpdatedAt: startedAt}
+	if err := db.Create(&hybridRun).Error; err != nil {
+		t.Fatalf("create interrupted hybrid run: %v", err)
+	}
+	interruptedRun := models.AIWorkflowRun{WorkflowID: version.WorkflowID, WorkflowVersionID: version.ID, ConversationID: 1, AIAgentID: 1, MessageID: 2, Status: workflowRunStatusInterrupted}
+	if err := db.Create(&interruptedRun).Error; err != nil {
+		t.Fatalf("create interrupted workflow run: %v", err)
+	}
+	const checkpointID = "workflow:1:2:confirm_1"
+	if err := db.Create(&models.ConversationInterrupt{
+		ConversationID: 1, AIAgentID: 1, AgentRunID: hybridRun.ID,
+		CheckPointID: checkpointID, InterruptID: "confirm_1", InterruptType: "human_confirm",
+		WorkflowRunID: interruptedRun.ID, WorkflowNodeID: "confirm_1", RequestData: mustMarshalWorkflowCheckpoint(t, def), Status: "pending",
+	}).Error; err != nil {
+		t.Fatalf("create interrupt: %v", err)
+	}
+
+	summary, err := NewHybridEngine().Resume(context.Background(), ResumeRequest{
+		Conversation: models.Conversation{ID: 1}, UserMessage: models.Message{ID: 3, Content: "确认"},
+		AIAgent:  models.AIAgent{ID: 1, RuntimeMode: enums.AIAgentRuntimeModeHybrid, WorkflowVersionID: version.ID},
+		AIConfig: models.AIConfig{ModelName: "test-model"}, CheckPointID: checkpointID,
+		ResumeData: map[string]string{"confirm_1": "确认"},
+	})
+	if err != nil {
+		t.Fatalf("resume hybrid playbook: %v", err)
+	}
+	if summary == nil || summary.Status != "completed" || summary.AgentRunID != hybridRun.ID || summary.WorkflowRunID != interruptedRun.ID {
+		t.Fatalf("unexpected hybrid resume summary: %#v", summary)
+	}
+	item, steps, _ := svc.AgentRunService.GetDetail(hybridRun.ID)
+	if item == nil || item.Status != "completed" || len(steps) != 1 || steps[0].StepCode != "playbook_resume" || steps[0].WorkflowRunID != interruptedRun.ID {
+		t.Fatalf("expected original hybrid run to receive resume audit, run=%#v steps=%#v", item, steps)
+	}
 }
 
 func TestServiceResumeReusesInterruptedWorkflowRun(t *testing.T) {
@@ -262,6 +332,13 @@ func TestServiceRunWritesFailedWorkflowRun(t *testing.T) {
 	if badNodeRun.Status != workflowRunStatusFailed || badNodeRun.ErrorMessage == "" {
 		t.Fatalf("unexpected failed node run: %#v", badNodeRun)
 	}
+	var agentRun models.AgentRun
+	if err := db.First(&agentRun, "workflow_run_id = ?", run.ID).Error; err != nil {
+		t.Fatalf("find generic failed agent run: %v", err)
+	}
+	if agentRun.Status != "failed" || !strings.Contains(agentRun.ErrorMessage, "unsupported workflow node type") {
+		t.Fatalf("unexpected generic failed agent run: %#v", agentRun)
+	}
 }
 
 func TestServiceRunWritesFailedWorkflowRunWhenVersionDisabled(t *testing.T) {
@@ -324,7 +401,15 @@ func setupWorkflowResumeTestDB(t *testing.T) *gorm.DB {
 			_ = sqlDB.Close()
 		}
 	})
-	if err := db.AutoMigrate(&models.AIWorkflowVersion{}, &models.AIWorkflowRun{}, &models.AIWorkflowNodeRun{}, &models.ConversationInterrupt{}); err != nil {
+	if err := db.AutoMigrate(
+		&models.AIWorkflowVersion{},
+		&models.AIWorkflowRun{},
+		&models.AIWorkflowNodeRun{},
+		&models.AgentRun{},
+		&models.AgentStep{},
+		&models.AgentRevision{},
+		&models.ConversationInterrupt{},
+	); err != nil {
 		t.Fatalf("auto migrate: %v", err)
 	}
 	sqls.SetDB(db)

internal/ai/runtime/debug_run.go

@@ -49,11 +49,12 @@ func DebugRunSkill(ctx context.Context, req request.SkillDebugRunRequest) (*resp
 		MessageType:    enums.IMMessageTypeText,
 		Content:        strings.TrimSpace(req.UserMessage),
 	}
-	summary, err := Service.Run(ctx, applicationruntime.Request{
+	summary, err := applicationruntime.DefaultAgentApplicationService.RunPrepared(ctx, applicationruntime.Request{
 		Conversation: *conversation,
 		UserMessage:  message,
 		AIAgent:      debugAgent,
 		AIConfig:     *aiConfig,
+		Debug:        true,
 	})
 	if err != nil {
 		return buildSkillDebugRunResponse(req, summary, skill), err
@@ -92,7 +93,7 @@ func DebugResumeSkill(ctx context.Context, req request.SkillDebugResumeRequest)
 		return nil, errorsx.InvalidParamI18n("error.e0117")
 	}
 	resumeText := strings.TrimSpace(req.UserMessage)
-	summary, err := Service.Resume(ctx, applicationruntime.ResumeRequest{
+	summary, err := applicationruntime.DefaultAgentApplicationService.ResumePrepared(ctx, applicationruntime.ResumeRequest{
 		Conversation: *conversation,
 		AIAgent:      *aiAgent,
 		AIConfig:     *aiConfig,
@@ -100,6 +101,7 @@ func DebugResumeSkill(ctx context.Context, req request.SkillDebugResumeRequest)
 		ResumeData: map[string]string{
 			strings.TrimSpace(pendingInterrupt.InterruptID): resumeText,
 		},
+		Debug: true,
 	})
 	if err != nil {
 		if isCheckpointMissingError(err) {

internal/ai/runtime/evaluation_run.go

@@ -0,0 +1,44 @@
+package runtime
+
+import (
+	"context"
+
+	applicationruntime "agent-desk/internal/ai/application/runtime"
+	"agent-desk/internal/pkg/dto/request"
+	"agent-desk/internal/pkg/dto/response"
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/errorsx"
+	svc "agent-desk/internal/services"
+)
+
+func init() {
+	svc.AgentEvaluationRunHook = RunAgentEvaluation
+}
+
+func RunAgentEvaluation(ctx context.Context, req request.RunAgentEvaluationRequest) (*response.AgentEvaluationReportResponse, error) {
+	agent := svc.AIAgentService.Get(req.AIAgentID)
+	if agent == nil || agent.Status != enums.StatusOk {
+		return nil, errorsx.InvalidParamI18n("error.e0007")
+	}
+	config := svc.AIConfigService.Get(agent.AIConfigID)
+	if config == nil {
+		return nil, errorsx.InvalidParamI18n("error.e0008")
+	}
+	cases := make([]applicationruntime.OfflineEvaluationCase, 0, len(req.Cases))
+	for _, item := range req.Cases {
+		cases = append(cases, applicationruntime.OfflineEvaluationCase{ID: item.ID, Category: item.Category, Message: item.Message, History: item.History, Expect: item.Expect})
+	}
+	report, err := applicationruntime.NewService().RunOfflineEvaluation(ctx, req.EngineCode, *agent, *config, cases)
+	if err != nil {
+		return nil, err
+	}
+	csv, err := report.CSV()
+	if err != nil {
+		return nil, err
+	}
+	ret := &response.AgentEvaluationReportResponse{EngineCode: report.EngineCode, Total: report.Total, Passed: report.Passed, CSV: csv, Results: make([]response.AgentEvaluationResultResponse, 0, len(report.Results))}
+	for _, item := range report.Results {
+		ret.Results = append(ret.Results, response.AgentEvaluationResultResponse{CaseID: item.CaseID, Category: item.Category, EngineCode: item.EngineCode, Passed: item.Passed, ReplyText: item.ReplyText, Interrupted: item.Interrupted, Error: item.Error, Finding: item.Finding})
+	}
+	return ret, nil
+}

internal/ai/runtime/readtools/graph_executor.go

@@ -0,0 +1,79 @@
+// Package readtools executes deterministic, read-only graph tools through the
+// shared Tool Registry boundary.
+package readtools
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"strings"
+	"time"
+
+	"agent-desk/internal/ai/runtime/graphs"
+	"agent-desk/internal/ai/runtime/retrievers"
+	aitooling "agent-desk/internal/ai/tooling"
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/toolx"
+)
+
+func ExecuteGraphTool(ctx context.Context, conversation models.Conversation, toolCode string, arguments map[string]any, policy aitooling.Policy) (aitooling.Definition, string, error) {
+	toolCode = toolx.NormalizeToolCodeAlias(strings.TrimSpace(toolCode))
+	if toolCode != toolx.GraphTriageServiceRequest.Code && toolCode != toolx.GraphAnalyzeConversation.Code && toolCode != toolx.GraphPrepareTicketDraft.Code {
+		return aitooling.Definition{}, "", fmt.Errorf("tool is not a graph read tool")
+	}
+	definition, err := aitooling.DefaultRegistry.Resolve(toolCode)
+	if err != nil {
+		return aitooling.Definition{}, "", err
+	}
+	if err := aitooling.DefaultPolicyGuard.Authorize(aitooling.Invocation{
+		Definition: definition,
+		Arguments:  arguments,
+		Policy:     policy,
+	}); err != nil {
+		return definition, "", err
+	}
+	if definition.TimeoutMS > 0 {
+		var cancel context.CancelFunc
+		ctx, cancel = context.WithTimeout(ctx, time.Duration(definition.TimeoutMS)*time.Millisecond)
+		defer cancel()
+	}
+	data, err := json.Marshal(arguments)
+	if err != nil {
+		return definition, "", err
+	}
+	switch toolCode {
+	case toolx.GraphTriageServiceRequest.Code:
+		result, err := graphs.NewTriageServiceRequestGraph(conversation).Run(ctx, string(data))
+		return definition, result, err
+	case toolx.GraphAnalyzeConversation.Code:
+		result, err := graphs.NewAnalyzeConversationGraph(conversation).Run(ctx, string(data))
+		return definition, result, err
+	default:
+		result, err := graphs.NewPrepareTicketDraftGraph(conversation).Run(ctx, string(data))
+		return definition, result, err
+	}
+}
+
+// RetrieveKnowledge executes the built-in knowledge tool after the same
+// registry policy and timeout checks used by graph tools.
+func RetrieveKnowledge(ctx context.Context, agent models.AIAgent, knowledgeBaseIDs []int64, query string, policy aitooling.Policy) (aitooling.Definition, *retrievers.KnowledgeRetrieveResult, error) {
+	definition, err := aitooling.DefaultRegistry.Resolve(toolx.BuiltinKnowledgeRetrieve.Code)
+	if err != nil {
+		return aitooling.Definition{}, nil, err
+	}
+	arguments := map[string]any{"query": strings.TrimSpace(query), "knowledgeBaseIds": knowledgeBaseIDs}
+	if err := aitooling.DefaultPolicyGuard.Authorize(aitooling.Invocation{
+		Definition: definition,
+		Arguments:  arguments,
+		Policy:     policy,
+	}); err != nil {
+		return definition, nil, err
+	}
+	if definition.TimeoutMS > 0 {
+		var cancel context.CancelFunc
+		ctx, cancel = context.WithTimeout(ctx, time.Duration(definition.TimeoutMS)*time.Millisecond)
+		defer cancel()
+	}
+	result, err := retrievers.NewKnowledgeRetriever(agent, knowledgeBaseIDs).RetrieveContext(ctx, strings.TrimSpace(query))
+	return definition, result, err
+}

internal/ai/runtime/readtools/graph_executor_test.go

@@ -0,0 +1,26 @@
+package readtools
+
+import (
+	"context"
+	"testing"
+
+	aitooling "agent-desk/internal/ai/tooling"
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/toolx"
+)
+
+func TestExecuteGraphToolRejectsDisallowedToolBeforeGraphExecution(t *testing.T) {
+	definition, _, err := ExecuteGraphTool(context.Background(), models.Conversation{}, toolx.GraphAnalyzeConversation.Code, map[string]any{
+		"observedIssue": "需要分析的问题",
+	}, aitooling.Policy{
+		AllowedToolCodes:  []string{toolx.GraphPrepareTicketDraft.Code},
+		AllowedRiskLevels: []string{aitooling.RiskLevelRead},
+		Confirmed:         true,
+	})
+	if err == nil {
+		t.Fatal("expected policy guard to reject the graph tool")
+	}
+	if definition.Code != toolx.GraphAnalyzeConversation.Code {
+		t.Fatalf("definition code = %q, want %q", definition.Code, toolx.GraphAnalyzeConversation.Code)
+	}
+}

internal/ai/runtime/reply_commit_service.go

@@ -3,6 +3,8 @@ package runtime
 import (
 	"fmt"
 	"strings"
+
+	aitooling "agent-desk/internal/ai/tooling"
 	"time"
 
 	"agent-desk/internal/models"
@@ -31,9 +33,9 @@ func newReplyCommitService() *replyCommitService {
 }
 
 func (s *replyCommitService) SendAIReply(input replyCommitInput) (*models.Message, error) {
-	replyText := strings.TrimSpace(input.ReplyText)
-	if replyText == "" {
-		return nil, nil
+	replyText, err := aitooling.NormalizeCustomerReply(input.ReplyText)
+	if err != nil {
+		return nil, err
 	}
 	replyMessage, err := svc.MessageService.SendAIMessageWithRequestIDAndWorkflowRunID(
 		input.Conversation.ID,

internal/ai/runtime/reply_commit_service_test.go

@@ -46,6 +46,26 @@ func TestReplyCommitStoresWorkflowRunIDOnAIMessage(t *testing.T) {
 	}
 }
 
+func TestReplyCommitRejectsSensitiveModelOutput(t *testing.T) {
+	db := setupReplyCommitTestDB(t)
+	aiAgent := createReplyCommitTestAIAgent(t, db)
+	conversation := createReplyCommitTestConversation(t, db, aiAgent.ID)
+	_, err := newReplyCommitService().CommitAIReply(replyCommitInput{
+		Conversation: *conversation, Message: models.Message{ID: 102, RequestID: "trace-102"}, AIAgent: *aiAgent,
+		ReplyText: "authorization=Bearer-secret", ClientPrefix: "ai_reply",
+	})
+	if err == nil {
+		t.Fatal("expected sensitive model output to be rejected")
+	}
+	var count int64
+	if err := db.Model(&models.Message{}).Where("conversation_id = ?", conversation.ID).Count(&count).Error; err != nil {
+		t.Fatalf("count messages: %v", err)
+	}
+	if count != 0 {
+		t.Fatalf("unexpected message written for rejected output: %d", count)
+	}
+}
+
 func setupReplyCommitTestDB(t *testing.T) *gorm.DB {
 	t.Helper()
 	dbName := "reply_commit_test_" + strings.NewReplacer("/", "_").Replace(t.Name())

internal/ai/runtime/reply_eligibility.go

@@ -1,6 +1,10 @@
 package runtime
 
 import (
+	"crypto/sha256"
+	"encoding/binary"
+	"fmt"
+
 	"agent-desk/internal/models"
 	"agent-desk/internal/pkg/enums"
 
@@ -13,6 +17,36 @@ func newReplyEligibility() *replyEligibility {
 	return &replyEligibility{}
 }
 
+// IsAIAgentRolloutEligible uses a stable conversation bucket so one customer
+// remains consistently inside or outside a gray release throughout a session.
+// Missing legacy values are treated as 100 to preserve existing behavior.
+func IsAIAgentRolloutEligible(conversation models.Conversation, aiAgent models.AIAgent, channel *models.Channel) bool {
+	percent := normalizedRolloutPercent(aiAgent.RolloutPercent)
+	if channel != nil {
+		channelPercent := normalizedRolloutPercent(channel.AIAgentRolloutPercent)
+		if channelPercent < percent {
+			percent = channelPercent
+		}
+	}
+	if percent >= 100 {
+		return true
+	}
+	if conversation.ID <= 0 {
+		return false
+	}
+	seed := fmt.Sprintf("channel=%d;conversation=%d;agent=%d", conversation.ChannelID, conversation.ID, aiAgent.ID)
+	sum := sha256.Sum256([]byte(seed))
+	bucket := int(binary.BigEndian.Uint64(sum[:8]) % 100)
+	return bucket < percent
+}
+
+func normalizedRolloutPercent(percent int) int {
+	if percent <= 0 || percent > 100 {
+		return 100
+	}
+	return percent
+}
+
 func (e *replyEligibility) CanReply(conversation models.Conversation, message models.Message, aiAgent models.AIAgent) bool {
 	if message.SenderType != enums.IMSenderTypeCustomer {
 		return false

internal/ai/runtime/reply_helpers_test.go

@@ -48,6 +48,7 @@ func TestBuildConversationInterruptStoresWorkflowCheckpointData(t *testing.T) {
 		CheckPointData: `{"confirmNodeId":"confirm_1"}`,
 		Interrupted:    true,
 		WorkflowRunID:  99,
+		AgentRunID:     88,
 		Interrupts: []applicationruntime.InterruptContextSummary{
 			{Type: "human_confirm", ID: "confirm_1", InfoPreview: `{"message":"请确认"}`},
 		},
@@ -58,7 +59,7 @@ func TestBuildConversationInterruptStoresWorkflowCheckpointData(t *testing.T) {
 	if item.RequestData != `{"confirmNodeId":"confirm_1"}` {
 		t.Fatalf("unexpected request data: %q", item.RequestData)
 	}
-	if item.WorkflowRunID != 99 || item.WorkflowNodeID != "confirm_1" {
+	if item.WorkflowRunID != 99 || item.AgentRunID != 88 || item.WorkflowNodeID != "confirm_1" {
 		t.Fatalf("unexpected workflow interrupt identity: run=%d node=%q", item.WorkflowRunID, item.WorkflowNodeID)
 	}
 }

internal/ai/runtime/reply_interrupt_helpers.go

@@ -29,6 +29,7 @@ func buildConversationInterrupt(conversation models.Conversation, message models
 	}
 	item.ConversationID = conversation.ID
 	item.AIAgentID = aiAgent.ID
+	item.AgentRunID = summary.AgentRunID
 	item.SourceMessageID = message.ID
 	item.InterruptID = firstInterruptID(summary)
 	item.InterruptType = firstInterruptType(summary)

internal/ai/runtime/reply_interrupt_service.go

@@ -82,6 +82,9 @@ func (s *replyInterruptService) ResumePendingInterrupt(ctx context.Context, owne
 
 func (s *replyInterruptService) HandleInterruptedSummary(owner *aiReplyService, replyCtx aiReplyContext, summary *applicationruntime.Summary) error {
 	pending := buildConversationInterrupt(replyCtx.Conversation, replyCtx.Message, replyCtx.AIAgent, summary)
+	if pending != nil && pending.AgentRunID > 0 {
+		pending.AgentStepID = svc.AgentRunService.GetLatestStepID(pending.AgentRunID)
+	}
 	if err := svc.ConversationInterruptService.CreateOrUpdatePending(pending); err != nil {
 		return err
 	}

internal/ai/runtime/reply_service_test.go

@@ -49,6 +49,23 @@ func TestReplyEligibilityCanReply(t *testing.T) {
 	}
 }
 
+func TestAIAgentRolloutUsesStableConversationBucket(t *testing.T) {
+	conversation := models.Conversation{ID: 101, ChannelID: 7}
+	agent := models.AIAgent{ID: 9, RolloutPercent: 50}
+	first := IsAIAgentRolloutEligible(conversation, agent, &models.Channel{AIAgentRolloutPercent: 100})
+	for range 20 {
+		if got := IsAIAgentRolloutEligible(conversation, agent, &models.Channel{AIAgentRolloutPercent: 100}); got != first {
+			t.Fatalf("rollout bucket changed within one conversation: first=%t got=%t", first, got)
+		}
+	}
+	if normalizedRolloutPercent(0) != 100 || normalizedRolloutPercent(101) != 100 || normalizedRolloutPercent(25) != 25 {
+		t.Fatal("unexpected rollout percent normalization")
+	}
+	if !IsAIAgentRolloutEligible(conversation, models.AIAgent{ID: 9, RolloutPercent: 0}, &models.Channel{}) {
+		t.Fatal("legacy zero rollout values must preserve full rollout")
+	}
+}
+
 func TestResolveReplyTimeout(t *testing.T) {
 	service := newAIReplyService()
 	aiAgent := newAIAgentFixture()

internal/ai/runtime/reply_trigger_service.go

@@ -58,6 +58,9 @@ func (s *aiReplyService) TriggerReply(ctx context.Context, conversation models.C
 	if s.eligibility != nil && !s.eligibility.CanReply(conversation, message, aiAgent) {
 		return nil
 	}
+	if !IsAIAgentRolloutEligible(conversation, aiAgent, svc.ChannelService.Get(conversation.ChannelID)) {
+		return nil
+	}
 	if pendingInterrupt := svc.ConversationInterruptService.FindLatestPendingByConversationID(conversation.ID); pendingInterrupt != nil {
 		replyCtx.PendingInterrupt = pendingInterrupt
 		return s.resumePendingInterrupt(ctx, replyCtx)
@@ -82,6 +85,16 @@ func (s *aiReplyService) executeReply(ctx context.Context, replyCtx aiReplyConte
 	if summary != nil && summary.Interrupted {
 		return s.interrupts.HandleInterruptedSummary(s, replyCtx, summary)
 	}
+	if summary != nil && summary.HandoffRequested {
+		if _, err := svc.ConversationHumanDispatchService.HandoffByAIWithRequestID(
+			replyCtx.Conversation.ID,
+			replyCtx.AIAgent,
+			"knowledge evidence unavailable",
+			replyCtx.Message.RequestID,
+		); err == nil {
+			return nil
+		}
+	}
 	if summary != nil && strings.TrimSpace(summary.ReplyText) != "" {
 		_, err := s.commit.CommitAIReply(replyCommitInput{
 			Conversation:  replyCtx.Conversation,

internal/ai/runtime/runtime_reply_executor.go

@@ -8,7 +8,6 @@ import (
 	applicationruntime "agent-desk/internal/ai/application/runtime"
 	"agent-desk/internal/ai/runtime/graphs"
 	"agent-desk/internal/models"
-	svc "agent-desk/internal/services"
 )
 
 type runtimeReplyExecutor struct{}
@@ -31,15 +30,10 @@ func newRuntimeReplyExecutor() *runtimeReplyExecutor {
 }
 
 func (e *runtimeReplyExecutor) Run(ctx context.Context, input runtimeReplyRunInput) (*applicationruntime.Summary, error) {
-	aiConfig := svc.AIConfigService.Get(input.AIAgent.AIConfigID)
-	if aiConfig == nil {
-		return nil, fmt.Errorf("ai config is nil")
-	}
-	summary, err := Service.Run(ctx, applicationruntime.Request{
-		Conversation: input.Conversation,
-		UserMessage:  input.Message,
-		AIAgent:      input.AIAgent,
-		AIConfig:     *aiConfig,
+	summary, err := applicationruntime.DefaultAgentApplicationService.Run(ctx, applicationruntime.ApplicationRunInput{
+		ConversationID: input.Conversation.ID,
+		MessageID:      input.Message.ID,
+		AIAgentID:      input.AIAgent.ID,
 	})
 	return summary, err
 }
@@ -48,15 +42,12 @@ func (e *runtimeReplyExecutor) ResumePendingInterrupt(ctx context.Context, input
 	if input.PendingInterrupt == nil {
 		return nil, fmt.Errorf("pending interrupt is required")
 	}
-	aiConfig := svc.AIConfigService.Get(input.AIAgent.AIConfigID)
-	if aiConfig == nil {
-		return nil, fmt.Errorf("ai config is nil")
-	}
-	summary, err := Service.Resume(ctx, applicationruntime.ResumeRequest{
-		Conversation: input.Conversation,
-		UserMessage:  input.Message,
-		AIAgent:      input.AIAgent,
-		AIConfig:     *aiConfig,
+	summary, err := applicationruntime.DefaultAgentApplicationService.Resume(ctx, applicationruntime.ApplicationResumeInput{
+		ApplicationRunInput: applicationruntime.ApplicationRunInput{
+			ConversationID: input.Conversation.ID,
+			MessageID:      input.Message.ID,
+			AIAgentID:      input.AIAgent.ID,
+		},
 		CheckPointID: strings.TrimSpace(input.PendingInterrupt.CheckPointID),
 		ResumeData: map[string]string{
 			strings.TrimSpace(input.PendingInterrupt.InterruptID): strings.TrimSpace(input.Message.Content),

internal/ai/runtime/tools/tool_search_tool.go

@@ -10,6 +10,7 @@ import (
 	"agent-desk/internal/ai/mcps"
 	"agent-desk/internal/ai/runtime/registry"
 	"agent-desk/internal/ai/runtime/tooling"
+	aitooling "agent-desk/internal/ai/tooling"
 	"agent-desk/internal/pkg/i18nx"
 	"agent-desk/internal/pkg/toolx"
 
@@ -167,11 +168,17 @@ func (t *ToolSearchTool) invokeTargetTool(ctx context.Context, toolCode string,
 	if !containsToolCode(t.allowedToolCodes, toolCode) {
 		return "", i18nx.Errorf("error.e0279")
 	}
-	result, err := mcps.Runtime.CallTool(ctx, serverCode, toolName, cloneArguments(arguments))
+	// A workflow administrator's allow-list is the explicit approval boundary
+	// for MCP tools. The registry still enforces its call limit and normalizes
+	// the safety metadata used by future autonomous engines.
+	_, result, err := aitooling.DefaultMCPExecutor.Execute(ctx, toolCode, arguments, aitooling.Policy{
+		AllowedToolCodes: t.allowedToolCodes,
+		Confirmed:        true,
+	})
 	if err != nil {
 		return "", err
 	}
-	return buildToolCallResultSummary(result), nil
+	return aitooling.SanitizePreview(buildToolCallResultSummary(result)), nil
 }
 
 func (t *ToolSearchTool) loadAllowedCandidates(ctx context.Context) ([]toolSearchCandidate, error) {

internal/ai/runtime/workflow/executor.go

@@ -13,13 +13,13 @@ import (
 
 	"agent-desk/internal/ai"
 	"agent-desk/internal/ai/runtime/graphs"
-	"agent-desk/internal/ai/runtime/retrievers"
+	"agent-desk/internal/ai/runtime/readtools"
+	aitooling "agent-desk/internal/ai/tooling"
 	"agent-desk/internal/ai/workflow/dsl"
 	workflowregistry "agent-desk/internal/ai/workflow/registry"
 	"agent-desk/internal/models"
-	"agent-desk/internal/pkg/dto"
-	"agent-desk/internal/pkg/dto/request"
 	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/toolx"
 	"agent-desk/internal/services"
 )
 
@@ -34,6 +34,7 @@ type Input struct {
 	UserMessage  models.Message
 	AIAgent      models.AIAgent
 	AIConfig     models.AIConfig
+	Debug        bool
 }
 
 type Result struct {
@@ -355,21 +356,37 @@ func (e *Executor) executeCreateTicket(state *runState, node dsl.Node) error {
 		})
 		return nil
 	}
+	if state.input.Debug {
+		state.setNodeVars(node.ID, map[string]any{
+			"ticketId": int64(0), "ticketNo": "", "created": false,
+			"message": "调试运行不会创建工单。", "skipped": true,
+		})
+		return nil
+	}
 	draft := asMap(state.resolveInput(node, "ticketDraft"))
 	title := strings.TrimSpace(toString(draft["title"]))
 	description := strings.TrimSpace(toString(draft["description"]))
-	item, err := services.TicketService.CreateFromConversation(request.CreateTicketFromConversationRequest{
-		ConversationID: state.input.Conversation.ID,
-		Title:          title,
-		Description:    description,
-	}, workflowAIPrincipal(state.input.AIAgent))
+	result, err := services.BusinessToolExecutor.Execute(context.Background(), services.BusinessToolInput{
+		Conversation: state.input.Conversation, AIAgent: state.input.AIAgent,
+		ToolCode: toolx.GraphCreateTicketConfirm.Code, Arguments: map[string]any{"title": title, "description": description},
+		IdempotencyKey: workflowToolIdempotencyKey(state, node), Confirmed: true,
+	})
 	if err != nil {
 		return err
 	}
+	var output struct {
+		TicketID int64  `json:"ticketId"`
+		TicketNo string `json:"ticketNo"`
+		Created  bool   `json:"created"`
+	}
+	if err := json.Unmarshal([]byte(result.ResultData), &output); err != nil {
+		return err
+	}
+	item := &models.Ticket{ID: output.TicketID, TicketNo: output.TicketNo}
 	state.setNodeVars(node.ID, map[string]any{
 		"ticketId": item.ID,
 		"ticketNo": item.TicketNo,
-		"created":  true,
+		"created":  output.Created,
 		"message":  buildTicketCreatedMessage(item),
 	})
 	return nil
@@ -386,18 +403,6 @@ func buildTicketCreatedMessage(item *models.Ticket) string {
 	return "工单已创建，工单号：" + ticketNo + "。"
 }
 
-func workflowAIPrincipal(aiAgent models.AIAgent) *dto.AuthPrincipal {
-	username := strings.TrimSpace(aiAgent.Name)
-	if username == "" {
-		username = "AI"
-	}
-	return &dto.AuthPrincipal{
-		UserID:   0,
-		Username: username,
-		Nickname: username,
-	}
-}
-
 type workflowConversationUnderstanding struct {
 	NormalizedMessage string
 	MessageIntent     string
@@ -610,11 +615,14 @@ func (e *Executor) executePrepareTicketDraft(ctx context.Context, state *runStat
 	if currentAttempt := strings.TrimSpace(readStringConfig(node.Data.Config, "currentAttempt")); currentAttempt != "" {
 		input.CurrentAttempt = currentAttempt
 	}
-	args, err := json.Marshal(input)
-	if err != nil {
-		return err
-	}
-	raw, err := graphs.NewPrepareTicketDraftGraph(state.input.Conversation).Run(ctx, string(args))
+	_, raw, err := readtools.ExecuteGraphTool(ctx, state.input.Conversation, toolx.GraphPrepareTicketDraft.Code, map[string]any{
+		"title":           input.Title,
+		"description":     input.Description,
+		"issue":           input.Issue,
+		"impact":          input.Impact,
+		"expectedOutcome": input.ExpectedOutcome,
+		"currentAttempt":  input.CurrentAttempt,
+	}, workflowReadToolPolicy(toolx.GraphPrepareTicketDraft.Code))
 	if err != nil {
 		return err
 	}
@@ -665,11 +673,14 @@ func (e *Executor) executeAnalyzeConversation(ctx context.Context, state *runSta
 	if strings.TrimSpace(readStringConfig(node.Data.Config, "additionalContext")) != "" {
 		input.AdditionalContext = strings.TrimSpace(readStringConfig(node.Data.Config, "additionalContext"))
 	}
-	args, err := json.Marshal(input)
-	if err != nil {
-		return err
-	}
-	raw, err := graphs.NewAnalyzeConversationGraph(state.input.Conversation).Run(ctx, string(args))
+	_, raw, err := readtools.ExecuteGraphTool(ctx, state.input.Conversation, toolx.GraphAnalyzeConversation.Code, map[string]any{
+		"goal":              input.Goal,
+		"observedIssue":     input.ObservedIssue,
+		"needTicket":        input.NeedTicket,
+		"needHumanHandoff":  input.NeedHumanHandoff,
+		"needQualityCheck":  input.NeedQualityCheck,
+		"additionalContext": input.AdditionalContext,
+	}, workflowReadToolPolicy(toolx.GraphAnalyzeConversation.Code))
 	if err != nil {
 		return err
 	}
@@ -687,6 +698,14 @@ func (e *Executor) executeAnalyzeConversation(ctx context.Context, state *runSta
 	return nil
 }
 
+func workflowReadToolPolicy(toolCode string) aitooling.Policy {
+	return aitooling.Policy{
+		AllowedToolCodes:  []string{toolCode},
+		AllowedRiskLevels: []string{aitooling.RiskLevelRead},
+		Confirmed:         true,
+	}
+}
+
 func (e *Executor) executeHandoffToHuman(state *runState, node dsl.Node) error {
 	if _, hasConfirmedInput := node.Data.InputsValues["confirmed"]; hasConfirmedInput && !truthy(state.resolveInput(node, "confirmed")) {
 		state.setNodeVars(node.ID, map[string]any{
@@ -700,16 +719,32 @@ func (e *Executor) executeHandoffToHuman(state *runState, node dsl.Node) error {
 		})
 		return nil
 	}
+	if state.input.Debug {
+		state.setNodeVars(node.ID, map[string]any{
+			"handoffId": int64(0), "reason": strings.TrimSpace(toString(state.resolveInput(node, "reason"))),
+			"decision": "cancelled", "teamId": int64(0), "assigneeId": int64(0),
+			"message": "调试运行不会转人工。", "skipped": true,
+		})
+		return nil
+	}
 	reason := strings.TrimSpace(toString(state.resolveInput(node, "reason")))
-	result, err := services.ConversationHumanDispatchService.HandoffByAIWithRequestID(
-		state.input.Conversation.ID,
-		state.input.AIAgent,
-		reason,
-		strings.TrimSpace(state.input.UserMessage.RequestID),
-	)
+	result, err := services.BusinessToolExecutor.Execute(context.Background(), services.BusinessToolInput{
+		Conversation: state.input.Conversation, AIAgent: state.input.AIAgent,
+		ToolCode: toolx.GraphHandoffConversation.Code, Arguments: map[string]any{"reason": reason},
+		IdempotencyKey: workflowToolIdempotencyKey(state, node), Confirmed: true,
+	})
 	if err != nil {
 		return err
 	}
+	var handoff struct {
+		Decision   string `json:"decision"`
+		TeamID     int64  `json:"teamId"`
+		AssigneeID int64  `json:"assigneeId"`
+		Message    string `json:"message"`
+	}
+	if err := json.Unmarshal([]byte(result.ResultData), &handoff); err != nil {
+		return err
+	}
 	output := map[string]any{
 		"handoffId":  int64(0),
 		"reason":     reason,
@@ -718,24 +753,29 @@ func (e *Executor) executeHandoffToHuman(state *runState, node dsl.Node) error {
 		"assigneeId": int64(0),
 		"message":    "",
 	}
-	if result != nil {
-		output["decision"] = string(result.Decision)
-		output["teamId"] = result.TeamID
-		output["assigneeId"] = result.AssigneeID
-		output["message"] = strings.TrimSpace(result.Message)
-	}
+	output["decision"] = handoff.Decision
+	output["teamId"] = handoff.TeamID
+	output["assigneeId"] = handoff.AssigneeID
+	output["message"] = strings.TrimSpace(handoff.Message)
 	state.setNodeVars(node.ID, output)
 	return nil
 }
 
+func workflowToolIdempotencyKey(state *runState, node dsl.Node) string {
+	requestID := strings.TrimSpace(state.input.UserMessage.RequestID)
+	if requestID != "" {
+		return fmt.Sprintf("workflow:%d:node:%s:request:%s", state.input.Conversation.ID, node.ID, requestID)
+	}
+	return fmt.Sprintf("workflow:%d:node:%s:message:%d", state.input.Conversation.ID, node.ID, state.input.UserMessage.ID)
+}
+
 func (e *Executor) executeKnowledgeRetrieve(ctx context.Context, state *runState, node dsl.Node) error {
 	query := strings.TrimSpace(toString(state.resolveInput(node, "query")))
 	knowledgeBaseIDs := readInt64ArrayConfig(node.Data.Config, "knowledgeBaseIds")
 	if len(knowledgeBaseIDs) == 0 {
 		return fmt.Errorf("knowledge retrieve node requires knowledgeBaseIds")
 	}
-	retriever := retrievers.NewKnowledgeRetriever(state.input.AIAgent, knowledgeBaseIDs)
-	result, err := retriever.RetrieveContext(ctx, query)
+	_, result, err := readtools.RetrieveKnowledge(ctx, state.input.AIAgent, knowledgeBaseIDs, query, workflowReadToolPolicy(toolx.BuiltinKnowledgeRetrieve.Code))
 	if err != nil {
 		return err
 	}

internal/ai/runtime/workflow/executor_test.go

@@ -490,6 +490,43 @@ func TestExecutorResumeCreatesTicketAfterHumanConfirmation(t *testing.T) {
 	if trace == nil || !strings.Contains(trace.OutputPreview, "工单已创建") {
 		t.Fatalf("expected create_ticket output to include customer-visible result message, got %#v", trace)
 	}
+	// Replaying the same confirmation checkpoint must reuse the completed
+	// business-tool invocation rather than creating a second ticket.
+	if _, err := executor.Resume(context.Background(), Input{
+		Definition: createTicketWorkflowDefinition(), Conversation: conversation, UserMessage: userMessage, AIAgent: aiAgent,
+	}, interrupted.CheckPointData, "确认"); err != nil {
+		t.Fatalf("replay workflow resume: %v", err)
+	}
+	var ticketCount int64
+	if err := db.Model(&models.Ticket{}).Where("conversation_id = ?", conversation.ID).Count(&ticketCount).Error; err != nil || ticketCount != 1 {
+		t.Fatalf("ticket count after replay = %d, err=%v", ticketCount, err)
+	}
+}
+
+func TestExecutorDebugResumeDoesNotCreateTicket(t *testing.T) {
+	db := setupWorkflowExecutorHandoffDB(t)
+	aiAgent := createWorkflowExecutorHandoffAIAgent(t, db, "1")
+	conversation := createWorkflowExecutorHandoffConversation(t, db, aiAgent.ID)
+	userMessage := createWorkflowExecutorCustomerMessage(t, db, conversation.ID, "订单支付失败，请帮我登记工单")
+	executor := NewExecutor()
+	definition := createTicketWorkflowDefinition()
+
+	interrupted, err := executor.Execute(context.Background(), Input{Definition: definition, Conversation: conversation, UserMessage: userMessage, AIAgent: aiAgent, Debug: true})
+	if err != nil || !interrupted.Interrupted {
+		t.Fatalf("debug execute = %#v, err=%v", interrupted, err)
+	}
+	result, err := executor.Resume(context.Background(), Input{Definition: definition, Conversation: conversation, UserMessage: userMessage, AIAgent: aiAgent, Debug: true}, interrupted.CheckPointData, "确认")
+	if err != nil || result.Interrupted {
+		t.Fatalf("debug resume = %#v, err=%v", result, err)
+	}
+	var ticketCount int64
+	if err := db.Model(&models.Ticket{}).Where("conversation_id = ?", conversation.ID).Count(&ticketCount).Error; err != nil || ticketCount != 0 {
+		t.Fatalf("debug ticket count = %d, err=%v", ticketCount, err)
+	}
+	trace := findNodeTrace(result.NodeTraces, "create_ticket_1")
+	if trace == nil || !strings.Contains(trace.OutputPreview, "调试运行不会创建工单") {
+		t.Fatalf("expected debug write skip trace, got %#v", trace)
+	}
 }
 
 func findNodeTrace(items []NodeTrace, nodeID string) *NodeTrace {
@@ -835,6 +872,7 @@ func setupWorkflowExecutorHandoffDB(t *testing.T) *gorm.DB {
 		&models.ConversationReadState{},
 		&models.Message{},
 		&models.ChannelMessageOutbox{},
+		&models.AgentToolInvocation{},
 		&models.Ticket{},
 		&models.TicketNoSequence{},
 		&models.TicketTag{},

internal/ai/tool_loop.go

@@ -0,0 +1,91 @@
+package ai
+
+import (
+	"context"
+	"fmt"
+	"strings"
+
+	openai "github.com/openai/openai-go/v3"
+	"github.com/openai/openai-go/v3/shared"
+
+	"agent-desk/internal/models"
+)
+
+type ToolDefinition struct {
+	Name        string
+	Description string
+	Parameters  map[string]any
+}
+
+type ToolCall struct {
+	ID        string
+	Name      string
+	Arguments string
+}
+
+type ToolCallExecutor func(context.Context, ToolCall) (string, error)
+
+type ToolLoopResult struct {
+	ChatCompletionResult
+	ToolCalls []ToolCall
+}
+
+// ChatWithTools executes a bounded OpenAI-compatible function-calling loop.
+// Tool execution stays in the caller so business operations remain behind the
+// application Tool Registry and Service layer.
+func (s *llm) ChatWithTools(ctx context.Context, config models.AIConfig, systemPrompt, userPrompt string, definitions []ToolDefinition, maxSteps int, execute ToolCallExecutor) (*ToolLoopResult, error) {
+	if len(definitions) == 0 || execute == nil {
+		result, err := s.ChatWithConfig(ctx, config, systemPrompt, userPrompt)
+		if err != nil {
+			return nil, err
+		}
+		return &ToolLoopResult{ChatCompletionResult: *result}, nil
+	}
+	if maxSteps <= 0 {
+		maxSteps = 5
+	}
+	messages := []openai.ChatCompletionMessageParamUnion{}
+	if strings.TrimSpace(systemPrompt) != "" {
+		messages = append(messages, openai.ChatCompletionMessageParamUnion{OfSystem: &openai.ChatCompletionSystemMessageParam{Content: openai.ChatCompletionSystemMessageParamContentUnion{OfString: openai.String(systemPrompt)}}})
+	}
+	messages = append(messages, openai.ChatCompletionMessageParamUnion{OfUser: &openai.ChatCompletionUserMessageParam{Content: openai.ChatCompletionUserMessageParamContentUnion{OfString: openai.String(userPrompt)}}})
+	tools := make([]openai.ChatCompletionToolUnionParam, 0, len(definitions))
+	for _, definition := range definitions {
+		tools = append(tools, openai.ChatCompletionToolUnionParam{OfFunction: &openai.ChatCompletionFunctionToolParam{Function: shared.FunctionDefinitionParam{Name: definition.Name, Description: openai.String(definition.Description), Parameters: shared.FunctionParameters(definition.Parameters)}}})
+	}
+	client := newOpenAIClient(config)
+	allCalls := make([]ToolCall, 0)
+	for step := 0; step < maxSteps; step++ {
+		params := openai.ChatCompletionNewParams{Messages: messages, Model: shared.ChatModel(config.ModelName), Tools: tools}
+		if config.MaxOutputTokens > 0 {
+			params.MaxCompletionTokens = openai.Int(int64(config.MaxOutputTokens))
+		}
+		applyProviderSpecificChatParams(&params, config)
+		response, err := client.Chat.Completions.New(ctx, params)
+		if err != nil {
+			return nil, fmt.Errorf("tool loop chat completion failed: %w", err)
+		}
+		if len(response.Choices) == 0 {
+			return nil, fmt.Errorf("tool loop returned no choices")
+		}
+		message := response.Choices[0].Message
+		if len(message.ToolCalls) == 0 {
+			return &ToolLoopResult{ChatCompletionResult: ChatCompletionResult{Content: strings.TrimSpace(message.Content), ModelName: config.ModelName, PromptTokens: int(response.Usage.PromptTokens), CompletionTokens: int(response.Usage.CompletionTokens)}, ToolCalls: allCalls}, nil
+		}
+		messages = append(messages, message.ToParam())
+		for _, rawCall := range message.ToolCalls {
+			call := rawCall.AsFunction()
+			if call.ID == "" || call.Function.Name == "" {
+				return nil, fmt.Errorf("tool loop received unsupported tool call")
+			}
+			toolCall := ToolCall{ID: call.ID, Name: call.Function.Name, Arguments: call.Function.Arguments}
+			allCalls = append(allCalls, toolCall)
+			output, callErr := execute(ctx, toolCall)
+			if callErr != nil {
+				output = "tool execution failed: " + callErr.Error()
+			}
+			messages = append(messages, openai.ChatCompletionMessageParamUnion{OfTool: &openai.ChatCompletionToolMessageParam{ToolCallID: call.ID, Content: openai.ChatCompletionToolMessageParamContentUnion{OfString: openai.String(output)}}})
+		}
+	}
+	return nil, fmt.Errorf("tool loop exceeded maximum steps")
+}

internal/ai/tool_loop_test.go

@@ -0,0 +1,82 @@
+package ai
+
+import (
+	"context"
+	"encoding/json"
+	"net/http"
+	"net/http/httptest"
+	"sync/atomic"
+	"testing"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/enums"
+)
+
+func TestChatWithToolsExecutesToolAndContinuesConversation(t *testing.T) {
+	var requestCount atomic.Int32
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.Header().Set("Content-Type", "application/json")
+		if r.URL.Path != "/v1/chat/completions" {
+			t.Fatalf("unexpected path: %s", r.URL.Path)
+		}
+		var body struct {
+			Messages []struct {
+				Role      string `json:"role"`
+				Content   string `json:"content"`
+				ToolCalls []struct {
+					ID string `json:"id"`
+				} `json:"tool_calls"`
+			} `json:"messages"`
+			Tools []json.RawMessage `json:"tools"`
+		}
+		if err := json.NewDecoder(r.Body).Decode(&body); err != nil {
+			t.Fatalf("decode request: %v", err)
+		}
+
+		switch requestCount.Add(1) {
+		case 1:
+			if len(body.Tools) != 1 || len(body.Messages) != 2 || body.Messages[1].Role != "user" {
+				t.Fatalf("unexpected first request: %+v", body)
+			}
+			_, _ = w.Write([]byte(`{"id":"chatcmpl-1","object":"chat.completion","created":1,"model":"test-model","choices":[{"index":0,"message":{"role":"assistant","content":"","tool_calls":[{"id":"call-1","type":"function","function":{"name":"lookup","arguments":"{\"q\":\"refund\"}"}}]},"finish_reason":"tool_calls"}],"usage":{"prompt_tokens":10,"completion_tokens":2,"total_tokens":12}}`))
+		case 2:
+			if len(body.Messages) != 4 || body.Messages[2].Role != "assistant" || len(body.Messages[2].ToolCalls) != 1 || body.Messages[3].Role != "tool" || body.Messages[3].Content != "refund policy" {
+				t.Fatalf("tool result was not continued in second request: %+v", body.Messages)
+			}
+			_, _ = w.Write([]byte(`{"id":"chatcmpl-2","object":"chat.completion","created":2,"model":"test-model","choices":[{"index":0,"message":{"role":"assistant","content":"Refunds are available within 30 days."},"finish_reason":"stop"}],"usage":{"prompt_tokens":20,"completion_tokens":4,"total_tokens":24}}`))
+		default:
+			t.Fatalf("unexpected extra request")
+		}
+	}))
+	defer server.Close()
+
+	var executed ToolCall
+	result, err := LLM.ChatWithTools(context.Background(), models.AIConfig{
+		Provider:  enums.AIProviderOpenAI,
+		BaseURL:   server.URL + "/v1",
+		APIKey:    "test-key",
+		ModelName: "test-model",
+	}, "You are helpful.", "What is the refund policy?", []ToolDefinition{{
+		Name:        "lookup",
+		Description: "Look up a policy.",
+		Parameters:  map[string]any{"type": "object"},
+	}}, 3, func(_ context.Context, call ToolCall) (string, error) {
+		executed = call
+		return "refund policy", nil
+	})
+	if err != nil {
+		t.Fatalf("ChatWithTools: %v", err)
+	}
+	if got, want := result.Content, "Refunds are available within 30 days."; got != want {
+		t.Fatalf("result content = %q, want %q", got, want)
+	}
+	if executed.Name != "lookup" || executed.ID != "call-1" || executed.Arguments != `{"q":"refund"}` {
+		t.Fatalf("executed tool call = %+v", executed)
+	}
+	if len(result.ToolCalls) != 1 || result.PromptTokens != 20 || result.CompletionTokens != 4 {
+		t.Fatalf("unexpected result: %+v", result)
+	}
+	if got := requestCount.Load(); got != 2 {
+		t.Fatalf("request count = %d, want 2", got)
+	}
+}

internal/ai/tooling/executor.go

@@ -0,0 +1,67 @@
+package tooling
+
+import (
+	"context"
+	"fmt"
+	"strings"
+	"time"
+
+	"agent-desk/internal/ai/mcps"
+	"agent-desk/internal/pkg/toolx"
+)
+
+// MCPExecutor is the single execution boundary for dynamically discovered
+// MCP tools. Engine adapters supply the policy for the current Agent run.
+type MCPExecutor struct {
+	registry *Registry
+	runtime  *mcps.RuntimeService
+}
+
+var DefaultMCPExecutor = NewMCPExecutor(DefaultRegistry, mcps.Runtime)
+
+func NewMCPExecutor(registry *Registry, runtime *mcps.RuntimeService) *MCPExecutor {
+	return &MCPExecutor{registry: registry, runtime: runtime}
+}
+
+func (e *MCPExecutor) Execute(ctx context.Context, toolCode string, arguments map[string]any, policy Policy) (Definition, *mcps.ToolCallResult, error) {
+	definition, err := e.registry.Resolve(toolCode)
+	if err != nil {
+		return Definition{}, nil, err
+	}
+	if err := DefaultPolicyGuard.Authorize(Invocation{Definition: definition, Arguments: arguments, Policy: policy}); err != nil {
+		return Definition{}, nil, err
+	}
+	serverCode, toolName := toolx.SplitMCPToolCode(strings.TrimSpace(definition.Code))
+	if serverCode == "" || toolName == "" {
+		return Definition{}, nil, &UnsupportedExecutionError{ToolCode: definition.Code}
+	}
+	if e.runtime == nil {
+		return Definition{}, nil, fmt.Errorf("MCP executor runtime is not configured")
+	}
+	if definition.TimeoutMS > 0 {
+		var cancel context.CancelFunc
+		ctx, cancel = context.WithTimeout(ctx, time.Duration(definition.TimeoutMS)*time.Millisecond)
+		defer cancel()
+	}
+	result, err := e.runtime.CallTool(ctx, serverCode, toolName, cloneArguments(arguments))
+	return definition, result, err
+}
+
+type UnsupportedExecutionError struct {
+	ToolCode string
+}
+
+func (e *UnsupportedExecutionError) Error() string {
+	return "tool is not executable through MCP: " + e.ToolCode
+}
+
+func cloneArguments(input map[string]any) map[string]any {
+	if len(input) == 0 {
+		return map[string]any{}
+	}
+	ret := make(map[string]any, len(input))
+	for key, value := range input {
+		ret[key] = value
+	}
+	return ret
+}

internal/ai/tooling/registry.go

@@ -0,0 +1,219 @@
+// Package tooling provides the engine-independent tool governance boundary.
+package tooling
+
+import (
+	"encoding/json"
+	"fmt"
+	"strings"
+
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/toolx"
+)
+
+const (
+	RiskLevelRead      = "read"
+	RiskLevelWrite     = "write"
+	RiskLevelSensitive = "sensitive"
+)
+
+// Definition is the normalized, engine-independent description of a tool.
+type Definition struct {
+	Code                string
+	Name                string
+	Description         string
+	InputSchema         map[string]any
+	SourceType          enums.ToolSourceType
+	RiskLevel           string
+	RequireConfirmation bool
+	MaxCallsPerRun      int
+	TimeoutMS           int
+	IdempotencyMode     string
+}
+
+// Policy is supplied by the caller's agent/runtime context for one invocation.
+// An empty AllowedToolCodes means the caller did not impose an allow-list.
+type Policy struct {
+	AllowedToolCodes      []string
+	SkillAllowedToolCodes []string
+	AllowedRiskLevels     []string
+	CallCount             int
+	TotalCallCount        int
+	MaxTotalCalls         int
+	MaxArgumentBytes      int
+	Confirmed             bool
+}
+
+type Invocation struct {
+	Definition Definition
+	Arguments  map[string]any
+	Policy     Policy
+}
+
+// PolicyGuard is the reusable enforcement point for every engine/tool adapter.
+type PolicyGuard struct{}
+
+var DefaultPolicyGuard = &PolicyGuard{}
+
+type Registry struct{}
+
+var DefaultRegistry = NewRegistry()
+
+func NewRegistry() *Registry {
+	return &Registry{}
+}
+
+func (r *Registry) Resolve(toolCode string) (Definition, error) {
+	toolCode = toolx.NormalizeToolCodeAlias(strings.TrimSpace(toolCode))
+	if toolCode == "" {
+		return Definition{}, fmt.Errorf("tool code is required")
+	}
+	if spec, ok := toolx.GetRegisteredToolSpec(toolCode); ok {
+		return definitionFromSpec(spec), nil
+	}
+	serverCode, toolName := toolx.SplitMCPToolCode(toolCode)
+	if serverCode == "" || toolName == "" {
+		return Definition{}, fmt.Errorf("unsupported tool code: %s", toolCode)
+	}
+	// MCP metadata cannot reliably describe side effects. Treat it as sensitive
+	// until an administrator provides a more specific policy in a later phase.
+	return Definition{
+		Code:                toolCode,
+		Name:                toolName,
+		InputSchema:         map[string]any{"type": "object", "additionalProperties": true},
+		SourceType:          enums.ToolSourceTypeMCP,
+		RiskLevel:           RiskLevelSensitive,
+		RequireConfirmation: true,
+		MaxCallsPerRun:      3,
+		TimeoutMS:           30000,
+		IdempotencyMode:     "caller",
+	}, nil
+}
+
+func (r *Registry) Authorize(definition Definition, policy Policy) error {
+	return DefaultPolicyGuard.Authorize(Invocation{Definition: definition, Policy: policy})
+}
+
+func (g *PolicyGuard) Authorize(invocation Invocation) error {
+	definition := invocation.Definition
+	policy := invocation.Policy
+	if definition.Code == "" {
+		return fmt.Errorf("tool definition is required")
+	}
+	if len(policy.AllowedToolCodes) > 0 && !containsCanonicalToolCode(policy.AllowedToolCodes, definition.Code) {
+		return fmt.Errorf("tool is not allowed: %s", definition.Code)
+	}
+	if len(policy.SkillAllowedToolCodes) > 0 && !containsCanonicalToolCode(policy.SkillAllowedToolCodes, definition.Code) {
+		return fmt.Errorf("tool is not allowed by the selected skill: %s", definition.Code)
+	}
+	if len(policy.AllowedRiskLevels) > 0 && !containsString(policy.AllowedRiskLevels, definition.RiskLevel) {
+		return fmt.Errorf("tool risk level is not allowed: %s", definition.RiskLevel)
+	}
+	if definition.MaxCallsPerRun > 0 && policy.CallCount >= definition.MaxCallsPerRun {
+		return fmt.Errorf("tool call limit reached: %s", definition.Code)
+	}
+	if policy.MaxTotalCalls > 0 && policy.TotalCallCount >= policy.MaxTotalCalls {
+		return fmt.Errorf("total tool call limit reached")
+	}
+	if policy.MaxArgumentBytes > 0 {
+		encoded, err := json.Marshal(invocation.Arguments)
+		if err != nil {
+			return fmt.Errorf("tool arguments are not serializable: %w", err)
+		}
+		if len(encoded) > policy.MaxArgumentBytes {
+			return fmt.Errorf("tool arguments exceed size limit: %s", definition.Code)
+		}
+	}
+	if definition.RequireConfirmation && !policy.Confirmed {
+		return fmt.Errorf("tool confirmation is required: %s", definition.Code)
+	}
+	return nil
+}
+
+func definitionFromSpec(spec toolx.ToolSpec) Definition {
+	definition := Definition{
+		Code:            spec.Code,
+		Name:            spec.Name,
+		Description:     spec.Description,
+		SourceType:      spec.SourceType,
+		RiskLevel:       RiskLevelRead,
+		MaxCallsPerRun:  8,
+		TimeoutMS:       15000,
+		IdempotencyMode: "none",
+	}
+	switch spec.Code {
+	case toolx.BuiltinConversationContext.Code:
+		definition.InputSchema = objectSchema(map[string]any{})
+	case toolx.BuiltinKnowledgeRetrieve.Code:
+		definition.InputSchema = requiredObjectSchema([]string{"query"}, map[string]any{"query": map[string]any{"type": "string"}})
+	case toolx.GraphTriageServiceRequest.Code:
+		definition.InputSchema = objectSchema(map[string]any{
+			"goal":              map[string]any{"type": "string"},
+			"observedIssue":     map[string]any{"type": "string"},
+			"needTicket":        map[string]any{"type": "boolean"},
+			"needHumanHandoff":  map[string]any{"type": "boolean"},
+			"additionalContext": map[string]any{"type": "string"},
+		})
+	case toolx.GraphAnalyzeConversation.Code:
+		definition.InputSchema = objectSchema(map[string]any{
+			"goal":              map[string]any{"type": "string"},
+			"observedIssue":     map[string]any{"type": "string"},
+			"needTicket":        map[string]any{"type": "boolean"},
+			"needHumanHandoff":  map[string]any{"type": "boolean"},
+			"needQualityCheck":  map[string]any{"type": "boolean"},
+			"additionalContext": map[string]any{"type": "string"},
+		})
+	case toolx.GraphPrepareTicketDraft.Code:
+		definition.InputSchema = objectSchema(map[string]any{
+			"title":           map[string]any{"type": "string"},
+			"description":     map[string]any{"type": "string"},
+			"issue":           map[string]any{"type": "string"},
+			"impact":          map[string]any{"type": "string"},
+			"expectedOutcome": map[string]any{"type": "string"},
+			"currentAttempt":  map[string]any{"type": "string"},
+		})
+	case toolx.GraphCreateTicketConfirm.Code:
+		definition.RiskLevel = RiskLevelWrite
+		definition.RequireConfirmation = true
+		definition.MaxCallsPerRun = 1
+		definition.IdempotencyMode = "business"
+		definition.InputSchema = requiredObjectSchema([]string{"title", "description"}, map[string]any{
+			"title": map[string]any{"type": "string"}, "description": map[string]any{"type": "string"},
+		})
+	case toolx.GraphHandoffConversation.Code:
+		definition.RiskLevel = RiskLevelWrite
+		definition.RequireConfirmation = true
+		definition.MaxCallsPerRun = 1
+		definition.IdempotencyMode = "business"
+		definition.InputSchema = objectSchema(map[string]any{"reason": map[string]any{"type": "string"}})
+	}
+	return definition
+}
+
+func objectSchema(properties map[string]any) map[string]any {
+	return map[string]any{"type": "object", "properties": properties}
+}
+
+func requiredObjectSchema(required []string, properties map[string]any) map[string]any {
+	schema := objectSchema(properties)
+	schema["required"] = required
+	return schema
+}
+
+func containsString(items []string, target string) bool {
+	for _, item := range items {
+		if strings.EqualFold(strings.TrimSpace(item), strings.TrimSpace(target)) {
+			return true
+		}
+	}
+	return false
+}
+
+func containsCanonicalToolCode(items []string, target string) bool {
+	target = toolx.NormalizeToolCodeAlias(strings.TrimSpace(target))
+	for _, item := range items {
+		if toolx.NormalizeToolCodeAlias(strings.TrimSpace(item)) == target {
+			return true
+		}
+	}
+	return false
+}

internal/ai/tooling/registry_test.go

@@ -0,0 +1,139 @@
+package tooling
+
+import (
+	"strings"
+	"testing"
+
+	"agent-desk/internal/pkg/toolx"
+)
+
+func TestRegistryResolvesRegisteredToolPolicy(t *testing.T) {
+	definition, err := DefaultRegistry.Resolve(toolx.GraphCreateTicketConfirm.Code)
+	if err != nil {
+		t.Fatalf("Resolve returned error: %v", err)
+	}
+	if definition.RiskLevel != RiskLevelWrite || !definition.RequireConfirmation || definition.MaxCallsPerRun != 1 {
+		t.Fatalf("unexpected definition: %#v", definition)
+	}
+	if err := DefaultRegistry.Authorize(definition, Policy{AllowedToolCodes: []string{toolx.GraphCreateTicketConfirm.Code}}); err == nil {
+		t.Fatal("expected confirmation requirement")
+	}
+}
+
+func TestRegistryIncludesGraphInputSchemaAndRiskPolicy(t *testing.T) {
+	definition, err := DefaultRegistry.Resolve(toolx.GraphCreateTicketConfirm.Code)
+	if err != nil {
+		t.Fatalf("Resolve returned error: %v", err)
+	}
+	if definition.InputSchema["type"] != "object" || len(definition.InputSchema["required"].([]string)) != 2 {
+		t.Fatalf("unexpected graph schema: %#v", definition.InputSchema)
+	}
+	if err := DefaultPolicyGuard.Authorize(Invocation{Definition: definition, Policy: Policy{
+		AllowedToolCodes: []string{definition.Code}, AllowedRiskLevels: []string{RiskLevelRead}, Confirmed: true,
+	}}); err == nil || !strings.Contains(err.Error(), "risk level") {
+		t.Fatalf("expected risk policy rejection, got %v", err)
+	}
+}
+
+func TestRegistryRequiresConfirmationForHandoff(t *testing.T) {
+	definition, err := DefaultRegistry.Resolve(toolx.GraphHandoffConversation.Code)
+	if err != nil {
+		t.Fatalf("Resolve returned error: %v", err)
+	}
+	if definition.RiskLevel != RiskLevelWrite || !definition.RequireConfirmation || definition.IdempotencyMode != "business" {
+		t.Fatalf("unexpected handoff policy: %#v", definition)
+	}
+	if err := DefaultRegistry.Authorize(definition, Policy{AllowedToolCodes: []string{definition.Code}, AllowedRiskLevels: []string{RiskLevelWrite}}); err == nil || !strings.Contains(err.Error(), "confirmation") {
+		t.Fatalf("expected handoff confirmation rejection, got %v", err)
+	}
+}
+
+func TestRegistryIncludesAllTicketDraftToolInputs(t *testing.T) {
+	definition, err := DefaultRegistry.Resolve(toolx.GraphPrepareTicketDraft.Code)
+	if err != nil {
+		t.Fatalf("Resolve returned error: %v", err)
+	}
+	properties, _ := definition.InputSchema["properties"].(map[string]any)
+	for _, key := range []string{"title", "description", "issue", "impact", "expectedOutcome", "currentAttempt"} {
+		if _, ok := properties[key]; !ok {
+			t.Fatalf("ticket draft schema missing %q: %#v", key, definition.InputSchema)
+		}
+	}
+}
+
+func TestRegistryTreatsMCPToolsAsSensitive(t *testing.T) {
+	definition, err := DefaultRegistry.Resolve("knowledge/search")
+	if err != nil {
+		t.Fatalf("Resolve returned error: %v", err)
+	}
+	if definition.RiskLevel != RiskLevelSensitive || !definition.RequireConfirmation {
+		t.Fatalf("unexpected MCP definition: %#v", definition)
+	}
+	if err := DefaultRegistry.Authorize(definition, Policy{AllowedToolCodes: []string{"knowledge/search"}, Confirmed: true}); err != nil {
+		t.Fatalf("Authorize returned error: %v", err)
+	}
+}
+
+func TestSanitizePreviewMasksAndBoundsSecrets(t *testing.T) {
+	preview := SanitizePreview(`authorization=Bearer-secret {"token":"abc123"}`)
+	if strings.Contains(preview, "Bearer-secret") || strings.Contains(preview, "abc123") {
+		t.Fatalf("secret leaked in preview: %q", preview)
+	}
+}
+
+func TestNormalizeCustomerReplyRejectsSecretAndNormalizesText(t *testing.T) {
+	if _, err := NormalizeCustomerReply("token=abc123"); err == nil {
+		t.Fatal("expected sensitive reply to be rejected")
+	}
+	reply, err := NormalizeCustomerReply("  first\x00\n\n\n\nsecond  ")
+	if err != nil || reply != "first\n\nsecond" {
+		t.Fatalf("unexpected normalized reply: %q err=%v", reply, err)
+	}
+}
+
+func TestMCPExecutorRejectsUnconfirmedToolBeforeRuntimeCall(t *testing.T) {
+	executor := NewMCPExecutor(DefaultRegistry, nil)
+	_, _, err := executor.Execute(t.Context(), "knowledge/search", nil, Policy{
+		AllowedToolCodes: []string{"knowledge/search"},
+	})
+	if err == nil || !strings.Contains(err.Error(), "confirmation") {
+		t.Fatalf("expected confirmation rejection, got %v", err)
+	}
+}
+
+func TestPolicyGuardRejectsTotalCallsAndOversizedArguments(t *testing.T) {
+	definition, err := DefaultRegistry.Resolve("knowledge/search")
+	if err != nil {
+		t.Fatalf("Resolve returned error: %v", err)
+	}
+	if err := DefaultPolicyGuard.Authorize(Invocation{
+		Definition: definition,
+		Policy:     Policy{AllowedToolCodes: []string{definition.Code}, Confirmed: true, TotalCallCount: 2, MaxTotalCalls: 2},
+	}); err == nil || !strings.Contains(err.Error(), "total") {
+		t.Fatalf("expected total call rejection, got %v", err)
+	}
+	if err := DefaultPolicyGuard.Authorize(Invocation{
+		Definition: definition, Arguments: map[string]any{"query": strings.Repeat("x", 40)},
+		Policy: Policy{AllowedToolCodes: []string{definition.Code}, Confirmed: true, MaxArgumentBytes: 16},
+	}); err == nil || !strings.Contains(err.Error(), "size") {
+		t.Fatalf("expected argument size rejection, got %v", err)
+	}
+}
+
+func TestPolicyGuardRejectsToolOutsideSelectedSkillWhitelist(t *testing.T) {
+	definition, err := DefaultRegistry.Resolve("knowledge/search")
+	if err != nil {
+		t.Fatalf("Resolve returned error: %v", err)
+	}
+	err = DefaultPolicyGuard.Authorize(Invocation{
+		Definition: definition,
+		Policy: Policy{
+			AllowedToolCodes:      []string{"knowledge/search"},
+			SkillAllowedToolCodes: []string{"customer/profile"},
+			Confirmed:             true,
+		},
+	})
+	if err == nil || !strings.Contains(err.Error(), "selected skill") {
+		t.Fatalf("expected skill whitelist rejection, got %v", err)
+	}
+}

internal/ai/tooling/reply_safety.go

@@ -0,0 +1,41 @@
+package tooling
+
+import (
+	"fmt"
+	"strings"
+	"unicode"
+)
+
+const maxCustomerReplyRunes = 8000
+
+// NormalizeCustomerReply applies the final plain-text boundary before an AI
+// response enters a customer conversation. It rejects likely credential
+// assignments instead of masking them, because a masked secret is not useful
+// customer-facing content.
+func NormalizeCustomerReply(value string) (string, error) {
+	value = strings.TrimSpace(value)
+	if value == "" {
+		return "", fmt.Errorf("ai reply is empty")
+	}
+	if secretAssignmentPattern.MatchString(value) {
+		return "", fmt.Errorf("ai reply contains sensitive credential data")
+	}
+	var builder strings.Builder
+	for _, r := range value {
+		if unicode.IsControl(r) && r != '\n' && r != '\t' {
+			continue
+		}
+		builder.WriteRune(r)
+	}
+	value = strings.TrimSpace(builder.String())
+	for strings.Contains(value, "\n\n\n") {
+		value = strings.ReplaceAll(value, "\n\n\n", "\n\n")
+	}
+	if value == "" {
+		return "", fmt.Errorf("ai reply is empty")
+	}
+	if len([]rune(value)) > maxCustomerReplyRunes {
+		return "", fmt.Errorf("ai reply exceeds maximum length")
+	}
+	return value, nil
+}

internal/ai/tooling/sanitize.go

@@ -0,0 +1,25 @@
+package tooling
+
+import (
+	"regexp"
+	"strings"
+)
+
+const maxPreviewChars = 4000
+
+var secretAssignmentPattern = regexp.MustCompile(`(?i)(?:"|')?(api[_-]?key|authorization|password|secret|token|cookie)(?:"|')?\s*([:=])\s*(?:"[^"]*"|'[^']*'|[^\s,;}]+)`)
+
+// SanitizePreview keeps audit/model previews bounded and masks common secrets.
+// It intentionally operates on plain text so it also covers malformed JSON.
+func SanitizePreview(value string) string {
+	value = strings.TrimSpace(value)
+	if value == "" {
+		return ""
+	}
+	value = secretAssignmentPattern.ReplaceAllString(value, "$1$2***")
+	runes := []rune(value)
+	if len(runes) <= maxPreviewChars {
+		return value
+	}
+	return strings.TrimSpace(string(runes[:maxPreviewChars])) + "\n[preview truncated]"
+}

internal/ai/workflow/registry/registry.go

@@ -248,14 +248,15 @@ func DefaultRegistry() *Registry {
 			},
 		},
 		NodeSpec{
-			Type:        NodeTypeHandoffToHuman,
-			Title:       "Handoff To Human",
-			Description: "Transfer the conversation to human support.",
-			Icon:        "HeadphonesIcon",
-			RiskLevel:   NodeRiskLevelHigh,
+			Type:                            NodeTypeHandoffToHuman,
+			Title:                           "Handoff To Human",
+			Description:                     "Transfer the conversation to human support.",
+			Icon:                            "HeadphonesIcon",
+			RiskLevel:                       NodeRiskLevelHigh,
+			RequiresConfirmationPredecessor: true,
 			InputSchema: []VariableSpec{
 				requiredInput("reason", "转人工原因", VariableTypeString, "触发转人工处理的业务原因。"),
-				optionalInput("confirmed", "已确认", VariableTypeBoolean, "客户是否已确认转人工。"),
+				requiredInput("confirmed", "已确认", VariableTypeBoolean, "客户是否已确认转人工。"),
 			},
 			OutputSchema: []VariableSpec{
 				output("handoffId", "转人工记录 ID", VariableTypeInteger, "本次转人工操作的内部记录编号。"),

internal/ai/workflow/validator/validator_test.go

@@ -162,6 +162,32 @@ func TestValidateDefinitionRejectsConfirmedInputFromNonConfirmNode(t *testing.T)
 	}
 }
 
+func TestValidateDefinitionRejectsHandoffWithoutConfirmedInput(t *testing.T) {
+	def := dsl.Definition{
+		SchemaVersion: dsl.SchemaVersion,
+		Nodes: []dsl.Node{
+			node("start_1", "start", nil, nil),
+			node("confirm_1", "human_confirm", inputs("prompt", dsl.RefValue("start_1", "userMessage")), nil),
+			node("handoff_1", "handoff_to_human", inputs("reason", dsl.RefValue("start_1", "userMessage")), nil),
+			node("end_1", "end", nil, nil),
+		},
+		Edges: []dsl.Edge{
+			edge("start_1", "confirm_1"),
+			edge("confirm_1", "handoff_1"),
+			edge("handoff_1", "end_1"),
+		},
+	}
+
+	result := validator.ValidateDefinition(def, registry.DefaultRegistry())
+
+	if result.Valid {
+		t.Fatalf("expected handoff without confirmed input to be invalid")
+	}
+	if !hasValidationMessage(result, "required input mapping is missing: confirmed") {
+		t.Fatalf("expected missing confirmed input error, got %#v", result.Errors)
+	}
+}
+
 func TestValidateDefinitionRejectsConditionBranchTargetWithoutEdge(t *testing.T) {
 	def := conditionDefinition()
 	def.Edges = []dsl.Edge{edge("start_1", "condition_1")}

internal/bootstrap/routes.go

@@ -178,6 +178,7 @@ func registerDashboardChannelRoutes(group *gin.RouterGroup) {
 	group.POST("/delete", dashboard.ChannelPostDelete)
 	group.Any("/list", dashboard.ChannelAnyList)
 	group.POST("/reset_user_token_secret", dashboard.ChannelPostReset_user_token_secret)
+	group.POST("/rollback_ai_agent_rollout", dashboard.ChannelPostRollback_ai_agent_rollout)
 	group.POST("/update", dashboard.ChannelPostUpdate)
 	group.POST("/update_status", dashboard.ChannelPostUpdate_status)
 	group.Any("/wxwork/kf/accounts", dashboard.ChannelAnyWxworkKfAccounts)
@@ -217,6 +218,10 @@ func registerDashboardAIAgentRoutes(group *gin.RouterGroup) {
 	group.POST("/workflow/save", dashboard.AIWorkflowPostSaveAgent)
 	group.POST("/workflow/validate", dashboard.AIWorkflowPostValidate)
 	group.POST("/workflow/publish", dashboard.AIWorkflowPostPublishAgent)
+	group.POST("/publish", dashboard.AIAgentPostPublish)
+	group.POST("/rollback", dashboard.AIAgentPostRollback)
+	group.POST("/rollback_rollout", dashboard.AIAgentPostRollback_rollout)
+	group.Any("/:id/revision/list", dashboard.AIAgentAnyRevisionList)
 	group.GET("/:id", dashboard.AIAgentGetBy)
 	group.POST("/create", dashboard.AIAgentPostCreate)
 	group.POST("/delete", dashboard.AIAgentPostDelete)
@@ -230,6 +235,7 @@ func registerDashboardAIAgentRoutes(group *gin.RouterGroup) {
 func registerDashboardAIWorkflowRoutes(group *gin.RouterGroup) {
 	group.GET("/node-spec/list", dashboard.AIWorkflowGetNodeSpecList)
 	group.GET("/default-definition", dashboard.AIWorkflowGetDefaultDefinition)
+	group.GET("/template/list", dashboard.AIWorkflowGetTemplateList)
 	group.POST("/validate", dashboard.AIWorkflowPostValidate)
 	group.Any("/run/list", dashboard.AIWorkflowAnyRunList)
 	group.GET("/run/:id", dashboard.AIWorkflowGetRunBy)
@@ -237,6 +243,15 @@ func registerDashboardAIWorkflowRoutes(group *gin.RouterGroup) {
 	group.GET("/version/:id", dashboard.AIWorkflowGetVersionBy)
 }
 
+func registerDashboardAgentRunRoutes(group *gin.RouterGroup) {
+	group.Any("/metrics", dashboard.AgentRunAnyMetrics)
+	group.Any("/comparison", dashboard.AgentRunAnyComparison)
+	group.POST("/evaluate", dashboard.AgentRunPostEvaluate)
+	group.Any("/list", dashboard.AgentRunAnyList)
+	group.POST("/quality_feedback", dashboard.AgentRunPostSave_quality_feedback)
+	group.GET("/:id", dashboard.AgentRunGetBy)
+}
+
 func registerDashboardAIConfigRoutes(group *gin.RouterGroup) {
 	group.GET("/:id", dashboard.AIConfigGetBy)
 	group.POST("/create", dashboard.AIConfigPostCreate)

internal/bootstrap/server.go

@@ -189,6 +189,7 @@ func addRouter(app *gin.Engine) {
 	registerDashboardAgentTeamScheduleRoutes(dashboardGroup.Group("/agent-team-schedule"))
 	registerDashboardAIAgentRoutes(dashboardGroup.Group("/ai-agent"))
 	registerDashboardAIWorkflowRoutes(dashboardGroup.Group("/ai-workflow"))
+	registerDashboardAgentRunRoutes(dashboardGroup.Group("/agent-run"))
 	registerDashboardAIConfigRoutes(dashboardGroup.Group("/ai-config"))
 	registerDashboardAssetRoutes(dashboardGroup.Group("/asset"))
 	registerDashboardKnowledgeBaseRoutes(dashboardGroup.Group("/knowledge-base"))

internal/bootstrap/server_route_test.go

@@ -43,8 +43,17 @@ func TestNewServerRegistersGinRoutes(t *testing.T) {
 		http.MethodPost + " /api/dashboard/user/create",
 		http.MethodPost + " /api/dashboard/conversation/send_message",
 		http.MethodGet + " /api/dashboard/ai-workflow/default-definition",
+		http.MethodGet + " /api/dashboard/ai-workflow/template/list",
 		http.MethodGet + " /api/dashboard/ai-workflow/run/list",
 		http.MethodGet + " /api/dashboard/ai-workflow/run/:id",
+		http.MethodGet + " /api/dashboard/agent-run/metrics",
+		http.MethodGet + " /api/dashboard/agent-run/comparison",
+		http.MethodPost + " /api/dashboard/agent-run/evaluate",
+		http.MethodGet + " /api/dashboard/agent-run/:id",
+		http.MethodPost + " /api/dashboard/ai-agent/rollback_rollout",
+		http.MethodPost + " /api/dashboard/channel/rollback_ai_agent_rollout",
+		http.MethodPost + " /api/dashboard/agent-run/quality_feedback",
+		http.MethodGet + " /api/dashboard/agent-run/list",
 		http.MethodGet + " /api/ws/dashboard",
 		http.MethodGet + " /api/ws/open",
 	}

internal/builders/agent_revision_builder.go

@@ -0,0 +1,29 @@
+package builders
+
+import (
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/dto/response"
+)
+
+func BuildAgentRevision(item *models.AgentRevision) response.AgentRevisionResponse {
+	if item == nil {
+		return response.AgentRevisionResponse{}
+	}
+	publishedAt := ""
+	if item.PublishedAt != nil {
+		publishedAt = item.PublishedAt.Format("2006-01-02 15:04:05")
+	}
+	return response.AgentRevisionResponse{
+		ID: item.ID, AgentID: item.AgentID, Revision: item.Revision, WorkflowVersionID: item.WorkflowVersionID,
+		Status: item.Status, DefinitionHash: item.DefinitionHash, PublishedAt: publishedAt,
+		PublishedByID: item.PublishedByID, PublishedByName: item.PublishedByName,
+	}
+}
+
+func BuildAgentRevisionList(items []models.AgentRevision) []response.AgentRevisionResponse {
+	ret := make([]response.AgentRevisionResponse, 0, len(items))
+	for i := range items {
+		ret = append(ret, BuildAgentRevision(&items[i]))
+	}
+	return ret
+}

internal/builders/agent_run_builder.go

@@ -0,0 +1,145 @@
+package builders
+
+import (
+	"time"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/dto/response"
+)
+
+func BuildAgentRun(item *models.AgentRun) response.AgentRunResponse {
+	if item == nil {
+		return response.AgentRunResponse{}
+	}
+	return response.AgentRunResponse{
+		ID:               item.ID,
+		ConversationID:   item.ConversationID,
+		AIAgentID:        item.AIAgentID,
+		AgentRevisionID:  item.AgentRevisionID,
+		SourceMessageID:  item.SourceMessageID,
+		WorkflowRunID:    item.WorkflowRunID,
+		EngineCode:       item.EngineCode,
+		Status:           item.Status,
+		PromptTokens:     item.PromptTokens,
+		CompletionTokens: item.CompletionTokens,
+		StartedAt:        formatAgentRunTime(item.StartedAt),
+		EndedAt:          formatAgentRunTimePtr(item.EndedAt),
+		DurationMS:       agentRunDurationMS(item.StartedAt, item.EndedAt),
+		ErrorMessage:     item.ErrorMessage,
+		TraceData:        item.TraceData,
+		CreatedAt:        formatAgentRunTime(item.CreatedAt),
+		UpdatedAt:        formatAgentRunTime(item.UpdatedAt),
+	}
+}
+
+func BuildAgentRunDetail(item *models.AgentRun, steps []models.AgentStep, toolCalls []models.AgentToolCall, feedback *models.AgentRunQualityFeedback) response.AgentRunResponse {
+	ret := BuildAgentRun(item)
+	ret.Steps = BuildAgentStepList(steps)
+	ret.ToolCalls = BuildAgentToolCallList(toolCalls)
+	ret.QualityFeedback = BuildAgentRunQualityFeedback(feedback)
+	return ret
+}
+
+func BuildAgentRunQualityFeedback(item *models.AgentRunQualityFeedback) *response.AgentRunQualityFeedbackResponse {
+	if item == nil {
+		return nil
+	}
+	return &response.AgentRunQualityFeedbackResponse{
+		ID:               item.ID,
+		AgentRunID:       item.AgentRunID,
+		ResolutionStatus: item.ResolutionStatus,
+		EvidenceStatus:   item.EvidenceStatus,
+		Comment:          item.Comment,
+		UpdateUserName:   item.UpdateUserName,
+		UpdatedAt:        formatAgentRunTime(item.UpdatedAt),
+	}
+}
+
+func BuildAgentRunList(list []models.AgentRun) []response.AgentRunResponse {
+	ret := make([]response.AgentRunResponse, 0, len(list))
+	for i := range list {
+		ret = append(ret, BuildAgentRun(&list[i]))
+	}
+	return ret
+}
+
+func BuildAgentStep(item *models.AgentStep) response.AgentStepResponse {
+	if item == nil {
+		return response.AgentStepResponse{}
+	}
+	return response.AgentStepResponse{
+		ID:            item.ID,
+		AgentRunID:    item.AgentRunID,
+		WorkflowRunID: item.WorkflowRunID,
+		StepType:      item.StepType,
+		StepCode:      item.StepCode,
+		Status:        item.Status,
+		InputPreview:  item.InputPreview,
+		OutputPreview: item.OutputPreview,
+		ErrorMessage:  item.ErrorMessage,
+		StartedAt:     formatAgentRunTime(item.StartedAt),
+		EndedAt:       formatAgentRunTimePtr(item.EndedAt),
+		DurationMS:    item.DurationMS,
+	}
+}
+
+func BuildAgentStepList(list []models.AgentStep) []response.AgentStepResponse {
+	ret := make([]response.AgentStepResponse, 0, len(list))
+	for i := range list {
+		ret = append(ret, BuildAgentStep(&list[i]))
+	}
+	return ret
+}
+
+func BuildAgentToolCall(item *models.AgentToolCall) response.AgentToolCallResponse {
+	if item == nil {
+		return response.AgentToolCallResponse{}
+	}
+	return response.AgentToolCallResponse{
+		ID:               item.ID,
+		AgentRunID:       item.AgentRunID,
+		AgentStepID:      item.AgentStepID,
+		ToolCode:         item.ToolCode,
+		RiskLevel:        item.RiskLevel,
+		RequireConfirm:   item.RequireConfirm,
+		Status:           item.Status,
+		ArgumentsPreview: item.ArgumentsPreview,
+		ResultPreview:    item.ResultPreview,
+		ErrorMessage:     item.ErrorMessage,
+		DurationMS:       item.DurationMS,
+		CreatedAt:        formatAgentRunTime(item.CreatedAt),
+	}
+}
+
+func BuildAgentToolCallList(list []models.AgentToolCall) []response.AgentToolCallResponse {
+	ret := make([]response.AgentToolCallResponse, 0, len(list))
+	for i := range list {
+		ret = append(ret, BuildAgentToolCall(&list[i]))
+	}
+	return ret
+}
+
+func formatAgentRunTime(value time.Time) string {
+	if value.IsZero() {
+		return ""
+	}
+	return value.Format("2006-01-02 15:04:05")
+}
+
+func formatAgentRunTimePtr(value *time.Time) string {
+	if value == nil {
+		return ""
+	}
+	return formatAgentRunTime(*value)
+}
+
+func agentRunDurationMS(startedAt time.Time, endedAt *time.Time) int64 {
+	if startedAt.IsZero() || endedAt == nil || endedAt.IsZero() {
+		return 0
+	}
+	duration := endedAt.Sub(startedAt).Milliseconds()
+	if duration < 0 {
+		return 0
+	}
+	return duration
+}

internal/builders/ai_workflow_builder.go

@@ -8,6 +8,7 @@ import (
 	workflowregistry "agent-desk/internal/ai/workflow/registry"
 	"agent-desk/internal/models"
 	"agent-desk/internal/pkg/dto/response"
+	"agent-desk/internal/services"
 )
 
 func BuildAIWorkflow(item *models.AIWorkflow) response.AIWorkflowResponse {
@@ -89,6 +90,14 @@ func BuildAIWorkflowNodeSpecs(list []workflowregistry.NodeSpec) []response.AIWor
 	return ret
 }
 
+func BuildAIWorkflowTemplates(list []services.AIWorkflowTemplate) []response.AIWorkflowTemplateResponse {
+	ret := make([]response.AIWorkflowTemplateResponse, 0, len(list))
+	for _, item := range list {
+		ret = append(ret, response.AIWorkflowTemplateResponse{Code: item.Code, Name: item.Name, Description: item.Description, Definition: item.Definition})
+	}
+	return ret
+}
+
 func BuildAIWorkflowRun(item *models.AIWorkflowRun) response.AIWorkflowRunResponse {
 	return BuildAIWorkflowRunWithContext(item, nil, nil, nil)
 }

internal/handlers/dashboard/agent_run_handler.go

@@ -0,0 +1,103 @@
+package dashboard
+
+import (
+	"agent-desk/internal/builders"
+	"agent-desk/internal/pkg/constants"
+	"agent-desk/internal/pkg/dto/request"
+	"agent-desk/internal/pkg/httpx"
+	"agent-desk/internal/pkg/httpx/params"
+	"agent-desk/internal/services"
+
+	"github.com/gin-gonic/gin"
+	"github.com/mlogclub/simple/web"
+)
+
+func AgentRunAnyList(ctx *gin.Context) {
+	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	queryParams := params.NewQueryParams(ctx)
+	queryParams.Cnd = *params.NewPagedSqlCnd(ctx,
+		params.QueryFilter{ParamName: "conversationId"},
+		params.QueryFilter{ParamName: "aiAgentId"},
+		params.QueryFilter{ParamName: "agentRevisionId"},
+		params.QueryFilter{ParamName: "sourceMessageId"},
+		params.QueryFilter{ParamName: "workflowRunId"},
+		params.QueryFilter{ParamName: "engineCode"},
+		params.QueryFilter{ParamName: "status"},
+	).Desc("id")
+	list, paging := services.AgentRunService.FindPageByParams(queryParams)
+	httpx.WriteJSON(ctx, &web.PageResult{Results: builders.BuildAgentRunList(list), Page: paging})
+}
+
+func AgentRunGetBy(ctx *gin.Context) {
+	id, ok := httpx.GetPathInt64(ctx, "id")
+	if !ok {
+		return
+	}
+	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	run, steps, toolCalls := services.AgentRunService.GetDetail(id)
+	if run == nil {
+		httpx.WriteJSON(ctx, httpx.JsonErrorMsg(ctx, "error.e0002"))
+		return
+	}
+	httpx.WriteJSON(ctx, builders.BuildAgentRunDetail(run, steps, toolCalls, services.AgentRunService.GetQualityFeedback(run.ID)))
+}
+
+func AgentRunPostSave_quality_feedback(ctx *gin.Context) {
+	operator, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentUpdate)
+	if err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	req := request.SaveAgentRunQualityFeedbackRequest{}
+	if err := params.ReadJSON(ctx, &req); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	if err := services.AgentRunService.SaveQualityFeedback(req, operator); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	httpx.WriteJSON(ctx, nil)
+}
+
+func AgentRunAnyMetrics(ctx *gin.Context) {
+	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	aiAgentID, _ := params.GetInt64(ctx, "aiAgentId")
+	httpx.WriteJSON(ctx, services.AgentRunService.GetMetrics(aiAgentID))
+}
+
+func AgentRunAnyComparison(ctx *gin.Context) {
+	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	aiAgentID, _ := params.GetInt64(ctx, "aiAgentId")
+	httpx.WriteJSON(ctx, services.AgentRunService.GetEngineComparisons(aiAgentID))
+}
+
+func AgentRunPostEvaluate(ctx *gin.Context) {
+	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	req := request.RunAgentEvaluationRequest{}
+	if err := params.ReadJSON(ctx, &req); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	result, err := services.AgentEvaluationService.Run(ctx, req)
+	if err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	httpx.WriteJSON(ctx, result)
+}

internal/handlers/dashboard/ai_agent_handler.go

@@ -1,6 +1,7 @@
 package dashboard
 
 import (
+	"agent-desk/internal/builders"
 	"agent-desk/internal/pkg/httpx"
 	"encoding/json"
 	"strings"
@@ -125,6 +126,77 @@ func AIAgentPostDelete(ctx *gin.Context) {
 	httpx.WriteJSON(ctx, nil)
 }
 
+func AIAgentPostPublish(ctx *gin.Context) {
+	operator, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentUpdate)
+	if err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	req := request.PublishAIAgentRequest{}
+	if err := params.ReadJSON(ctx, &req); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	_, err = services.AIAgentService.PublishAIAgent(req.ID, operator)
+	if err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	httpx.WriteJSON(ctx, nil)
+}
+
+func AIAgentAnyRevisionList(ctx *gin.Context) {
+	id, ok := httpx.GetPathInt64(ctx, "id")
+	if !ok {
+		return
+	}
+	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	if services.AIAgentService.Get(id) == nil {
+		httpx.WriteJSON(ctx, httpx.JsonErrorMsg(ctx, "error.e0002"))
+		return
+	}
+	httpx.WriteJSON(ctx, builders.BuildAgentRevisionList(services.AgentRevisionService.FindByAgentID(id)))
+}
+
+func AIAgentPostRollback(ctx *gin.Context) {
+	operator, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentUpdate)
+	if err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	req := request.RollbackAIAgentRequest{}
+	if err := params.ReadJSON(ctx, &req); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	if err := services.AIAgentService.RollbackAIAgent(req.ID, req.RevisionID, operator); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	httpx.WriteJSON(ctx, nil)
+}
+
+func AIAgentPostRollback_rollout(ctx *gin.Context) {
+	operator, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentUpdate)
+	if err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	req := request.RollbackAIAgentRolloutRequest{}
+	if err := params.ReadJSON(ctx, &req); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	if err := services.AIAgentService.RollbackAIAgentRollout(req.ID, operator); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	httpx.WriteJSON(ctx, nil)
+}
+
 func AIAgentPostUpdate_sort(ctx *gin.Context) {
 	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentUpdate); err != nil {
 		httpx.WriteJSON(ctx, err)
@@ -165,36 +237,50 @@ func buildAIAgentResponse(item *models.AIAgent) response.AIAgentResponse {
 }
 
 func buildAIAgentResponseWithLocale(item *models.AIAgent, locale string) response.AIAgentResponse {
+	runtimeMode := item.RuntimeMode
+	if runtimeMode == "" {
+		runtimeMode = enums.AIAgentRuntimeModeWorkflow
+	}
 	ret := response.AIAgentResponse{
-		ID:                  item.ID,
-		Name:                item.Name,
-		Description:         item.Description,
-		Status:              item.Status,
-		StatusName:          enums.GetStatusLabel(item.Status),
-		AIConfigID:          item.AIConfigID,
-		ServiceMode:         item.ServiceMode,
-		ServiceModeName:     enums.GetIMConversationServiceModeLabel(item.ServiceMode),
-		SystemPrompt:        item.SystemPrompt,
-		WelcomeMessage:      item.WelcomeMessage,
-		ReplyTimeoutSeconds: item.ReplyTimeoutSeconds,
-		HandoffMode:         item.HandoffMode,
-		HandoffModeName:     enums.GetAIAgentHandoffModeLabel(item.HandoffMode),
-		FallbackMode:        item.FallbackMode,
-		FallbackModeName:    enums.GetAIAgentFallbackModeLabel(item.FallbackMode),
-		FallbackMessage:     item.FallbackMessage,
-		SkillIDs:            utils.SplitInt64s(item.SkillIDs),
-		Skills:              make([]response.AIAgentSkillResponse, 0),
-		Teams:               make([]response.AIAgentTeamResponse, 0),
-		DirectTools:         make([]response.AIAgentMCPToolResponse, 0),
-		WorkflowVersionID:   item.WorkflowVersionID,
-		WorkflowPublished:   item.WorkflowVersionID > 0,
-		WorkflowState:       aiAgentWorkflowState(item.WorkflowVersionID),
-		WorkflowStateText:   aiAgentWorkflowStateText(item.WorkflowVersionID),
-		SortNo:              item.SortNo,
-		CreatedAt:           item.CreatedAt.Format("2006-01-02 15:04:05"),
-		UpdatedAt:           item.UpdatedAt.Format("2006-01-02 15:04:05"),
-		CreateUserName:      item.CreateUserName,
-		UpdateUserName:      item.UpdateUserName,
+		ID:                     item.ID,
+		Name:                   item.Name,
+		Description:            item.Description,
+		Status:                 item.Status,
+		StatusName:             enums.GetStatusLabel(item.Status),
+		AIConfigID:             item.AIConfigID,
+		RuntimeMode:            runtimeMode,
+		RuntimeModeName:        enums.GetAIAgentRuntimeModeLabel(runtimeMode),
+		MaxSteps:               item.MaxSteps,
+		ContextWindow:          item.ContextWindow,
+		ToolPolicy:             item.ToolPolicy,
+		KnowledgePolicy:        item.KnowledgePolicy,
+		ServiceMode:            item.ServiceMode,
+		ServiceModeName:        enums.GetIMConversationServiceModeLabel(item.ServiceMode),
+		SystemPrompt:           item.SystemPrompt,
+		WelcomeMessage:         item.WelcomeMessage,
+		ReplyTimeoutSeconds:    item.ReplyTimeoutSeconds,
+		RolloutPercent:         item.RolloutPercent,
+		PreviousRolloutPercent: item.PreviousRolloutPercent,
+		HandoffMode:            item.HandoffMode,
+		HandoffModeName:        enums.GetAIAgentHandoffModeLabel(item.HandoffMode),
+		FallbackMode:           item.FallbackMode,
+		FallbackModeName:       enums.GetAIAgentFallbackModeLabel(item.FallbackMode),
+		FallbackMessage:        item.FallbackMessage,
+		KnowledgeBaseIDs:       utils.SplitInt64s(item.KnowledgeIDs),
+		SkillIDs:               utils.SplitInt64s(item.SkillIDs),
+		Skills:                 make([]response.AIAgentSkillResponse, 0),
+		Teams:                  make([]response.AIAgentTeamResponse, 0),
+		DirectTools:            make([]response.AIAgentMCPToolResponse, 0),
+		WorkflowVersionID:      item.WorkflowVersionID,
+		PublishedRevisionID:    item.PublishedRevisionID,
+		WorkflowPublished:      item.WorkflowVersionID > 0,
+		WorkflowState:          aiAgentWorkflowState(item.WorkflowVersionID),
+		WorkflowStateText:      aiAgentWorkflowStateText(item.WorkflowVersionID),
+		SortNo:                 item.SortNo,
+		CreatedAt:              item.CreatedAt.Format("2006-01-02 15:04:05"),
+		UpdatedAt:              item.UpdatedAt.Format("2006-01-02 15:04:05"),
+		CreateUserName:         item.CreateUserName,
+		UpdateUserName:         item.UpdateUserName,
 	}
 	if aiConfig := services.AIConfigService.Get(item.AIConfigID); aiConfig != nil {
 		ret.AIConfigName = aiConfig.Name

internal/handlers/dashboard/ai_agent_handler_test.go

@@ -4,6 +4,7 @@ import (
 	"testing"
 
 	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/enums"
 
 	"github.com/glebarez/sqlite"
 	"github.com/mlogclub/simple/sqls"
@@ -14,6 +15,9 @@ func TestBuildAIAgentResponseExposesWorkflowPublishState(t *testing.T) {
 	setupAIAgentHandlerTestDB(t)
 
 	draft := buildAIAgentResponse(&models.AIAgent{})
+	if draft.RuntimeMode != enums.AIAgentRuntimeModeWorkflow {
+		t.Fatalf("draft.RuntimeMode = %q, want %q", draft.RuntimeMode, enums.AIAgentRuntimeModeWorkflow)
+	}
 	if draft.WorkflowPublished {
 		t.Fatalf("draft.WorkflowPublished = true, want false")
 	}
@@ -34,6 +38,11 @@ func TestBuildAIAgentResponseExposesWorkflowPublishState(t *testing.T) {
 	if published.WorkflowStateText == "" {
 		t.Fatalf("expected published workflow state text")
 	}
+
+	rollout := buildAIAgentResponse(&models.AIAgent{RolloutPercent: 20, PreviousRolloutPercent: 100})
+	if rollout.RolloutPercent != 20 || rollout.PreviousRolloutPercent != 100 {
+		t.Fatalf("unexpected rollout response: %#v", rollout)
+	}
 }
 
 func setupAIAgentHandlerTestDB(t *testing.T) {

internal/handlers/dashboard/ai_workflow_handler.go

@@ -116,6 +116,14 @@ func AIWorkflowGetDefaultDefinition(ctx *gin.Context) {
 	httpx.WriteJSON(ctx, services.AIWorkflowService.DefaultAgentWorkflowDefinition())
 }
 
+func AIWorkflowGetTemplateList(ctx *gin.Context) {
+	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	httpx.WriteJSON(ctx, builders.BuildAIWorkflowTemplates(services.AIWorkflowService.ListPlaybookTemplates()))
+}
+
 func AIWorkflowPostValidate(ctx *gin.Context) {
 	if _, err := services.AuthService.RequirePermission(ctx, constants.PermissionAIAgentView); err != nil {
 		httpx.WriteJSON(ctx, err)

internal/handlers/dashboard/channel_handler.go

@@ -100,6 +100,24 @@ func ChannelPostUpdate(ctx *gin.Context) {
 	httpx.WriteJSON(ctx, nil)
 }
 
+func ChannelPostRollback_ai_agent_rollout(ctx *gin.Context) {
+	operator, err := services.AuthService.RequirePermission(ctx, constants.PermissionChannelUpdate)
+	if err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	req := request.RollbackChannelAIAgentRolloutRequest{}
+	if err := params.ReadJSON(ctx, &req); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	if err := services.ChannelService.RollbackChannelAIAgentRollout(req.ID, operator); err != nil {
+		httpx.WriteJSON(ctx, err)
+		return
+	}
+	httpx.WriteJSON(ctx, nil)
+}
+
 func ChannelPostUpdate_status(ctx *gin.Context) {
 	operator, err := services.AuthService.RequirePermission(ctx, constants.PermissionChannelUpdate)
 	if err != nil {

internal/models/models.go

@@ -57,6 +57,12 @@ var Models = []any{
 	&KnowledgeFeedback{},
 	&SkillDefinition{},
 	&SkillRunLog{},
+	&AgentRevision{},
+	&AgentRun{},
+	&AgentStep{},
+	&AgentToolCall{},
+	&AgentToolInvocation{},
+	&AgentRunQualityFeedback{},
 	&AIWorkflow{},
 	&AIWorkflowVersion{},
 	&AIWorkflowRun{},
@@ -65,6 +71,21 @@ var Models = []any{
 	&SystemConfig{},
 }
 
+// AgentToolInvocation persists the idempotency boundary for a business tool.
+// It is intentionally independent of AgentRun audit rows so a retry after a
+// process interruption cannot repeat an external write.
+type AgentToolInvocation struct {
+	ID             int64  `gorm:"primaryKey;autoIncrement"`
+	ConversationID int64  `gorm:"type:bigint;not null;index;uniqueIndex:uk_agent_tool_invocation"`
+	AIAgentID      int64  `gorm:"type:bigint;not null;default:0;index"`
+	ToolCode       string `gorm:"type:varchar(128);not null;default:'';uniqueIndex:uk_agent_tool_invocation"`
+	IdempotencyKey string `gorm:"type:varchar(160);not null;default:'';uniqueIndex:uk_agent_tool_invocation"`
+	Status         string `gorm:"type:varchar(20);not null;default:'running';index"`
+	ResultData     string `gorm:"type:text"`
+	ErrorMessage   string `gorm:"type:text"`
+	AuditFields
+}
+
 type Migration struct {
 	ID         int64     `gorm:"primaryKey;autoIncrement"`
 	Version    int64     `gorm:"type:bigint;not null;uniqueIndex"`
@@ -508,24 +529,111 @@ type QuickReply struct {
 
 // AIAgent AI 接待实例。
 type AIAgent struct {
-	ID                  int64                           `gorm:"primaryKey;autoIncrement"`                    // ID 为 AI Agent 主键。
-	Name                string                          `gorm:"type:varchar(100);not null;default:'';index"` // Name 为 AI Agent 名称。
-	Description         string                          `gorm:"type:varchar(255);not null;default:''"`       // Description 为 AI Agent 描述。
-	Status              enums.Status                    `gorm:"type:int;not null;index"`                     // Status 为 AI Agent
-	AIConfigID          int64                           `gorm:"type:bigint;not null;default:0;index"`        // AIConfigID 为关联的 AI 配置ID。
-	ServiceMode         enums.IMConversationServiceMode `gorm:"type:int;not null;default:3;index"`           // ServiceMode 为服务模式，如仅AI、仅人工、AI优先人工接管。
-	SystemPrompt        string                          `gorm:"type:text"`                                   // SystemPrompt 为该 Agent 的系统提示词。
-	WelcomeMessage      string                          `gorm:"type:text"`                                   // WelcomeMessage 为该 Agent 的欢迎语或首响模板。
-	ReplyTimeoutSeconds int                             `gorm:"type:int;not null;default:180"`               // ReplyTimeoutSeconds 为异步自动回复超时秒数。
-	TeamIDs             string                          `gorm:"type:varchar(500);not null;default:''"`       // TeamIDs 为转人工时可路由的客服组ID列表，多个之间使用逗号分隔。
-	HandoffMode         enums.AIAgentHandoffMode        `gorm:"type:int;not null;default:1"`                 // HandoffMode 为转人工执行方式，如进入待接入池、进入默认客服组待接入池。
-	FallbackMode        enums.AIAgentFallbackMode       `gorm:"type:int;not null;default:1"`                 // FallbackMode 为知识不足时的回复策略。
-	FallbackMessage     string                          `gorm:"type:text"`                                   // FallbackMessage 为知识不足回复文案。
-	KnowledgeIDs        string                          `gorm:"type:varchar(500);not null;default:''"`       // KnowledgeIDs 为绑定的知识库ID列表，按顺序表示优先级。
-	SkillIDs            string                          `gorm:"type:varchar(500);not null;default:''"`       // SkillIDs 为绑定的技能ID列表，按顺序表示允许路由的范围。
-	AllowedMCPTools     string                          `gorm:"type:text"`                                   // AllowedMCPTools 为允许 direct tool 路由的 MCP 工具白名单配置JSON。
-	WorkflowVersionID   int64                           `gorm:"type:bigint;not null;default:0;index"`        // WorkflowVersionID 为绑定的已发布会话流程版本ID。
-	SortNo              int                             `gorm:"type:int;not null;default:0;index"`           // SortNo 为后台展示排序号。
+	ID                     int64                           `gorm:"primaryKey;autoIncrement"`                           // ID 为 AI Agent 主键。
+	Name                   string                          `gorm:"type:varchar(100);not null;default:'';index"`        // Name 为 AI Agent 名称。
+	Description            string                          `gorm:"type:varchar(255);not null;default:''"`              // Description 为 AI Agent 描述。
+	Status                 enums.Status                    `gorm:"type:int;not null;index"`                            // Status 为 AI Agent
+	AIConfigID             int64                           `gorm:"type:bigint;not null;default:0;index"`               // AIConfigID 为关联的 AI 配置ID。
+	RuntimeMode            enums.AIAgentRuntimeMode        `gorm:"type:varchar(30);not null;default:'workflow';index"` // RuntimeMode 为 Agent 的运行引擎模式。
+	MaxSteps               int                             `gorm:"type:int;not null;default:6"`                        // MaxSteps 为一次自主运行允许的最大推理步骤数。
+	ContextWindow          int                             `gorm:"type:int;not null;default:0"`                        // ContextWindow 为会话上下文消息窗口，0 表示使用运行时默认值。
+	ToolPolicy             string                          `gorm:"type:text"`                                          // ToolPolicy 为工具风险与确认策略JSON。
+	KnowledgePolicy        string                          `gorm:"type:text"`                                          // KnowledgePolicy 为知识检索与无依据回答策略JSON。
+	ServiceMode            enums.IMConversationServiceMode `gorm:"type:int;not null;default:3;index"`                  // ServiceMode 为服务模式，如仅AI、仅人工、AI优先人工接管。
+	SystemPrompt           string                          `gorm:"type:text"`                                          // SystemPrompt 为该 Agent 的系统提示词。
+	WelcomeMessage         string                          `gorm:"type:text"`                                          // WelcomeMessage 为该 Agent 的欢迎语或首响模板。
+	ReplyTimeoutSeconds    int                             `gorm:"type:int;not null;default:180"`                      // ReplyTimeoutSeconds 为异步自动回复超时秒数。
+	RolloutPercent         int                             `gorm:"type:int;not null;default:100"`                      // RolloutPercent 为该 Agent 的会话灰度百分比，100 表示全量。
+	PreviousRolloutPercent int                             `gorm:"type:int;not null;default:0"`                        // PreviousRolloutPercent 保存上一次生效的灰度比例，0 表示尚无可回滚值。
+	TeamIDs                string                          `gorm:"type:varchar(500);not null;default:''"`              // TeamIDs 为转人工时可路由的客服组ID列表，多个之间使用逗号分隔。
+	HandoffMode            enums.AIAgentHandoffMode        `gorm:"type:int;not null;default:1"`                        // HandoffMode 为转人工执行方式，如进入待接入池、进入默认客服组待接入池。
+	FallbackMode           enums.AIAgentFallbackMode       `gorm:"type:int;not null;default:1"`                        // FallbackMode 为知识不足时的回复策略。
+	FallbackMessage        string                          `gorm:"type:text"`                                          // FallbackMessage 为知识不足回复文案。
+	KnowledgeIDs           string                          `gorm:"type:varchar(500);not null;default:''"`              // KnowledgeIDs 为绑定的知识库ID列表，按顺序表示优先级。
+	SkillIDs               string                          `gorm:"type:varchar(500);not null;default:''"`              // SkillIDs 为绑定的技能ID列表，按顺序表示允许路由的范围。
+	AllowedMCPTools        string                          `gorm:"type:text"`                                          // AllowedMCPTools 为允许 direct tool 路由的 MCP 工具白名单配置JSON。
+	WorkflowVersionID      int64                           `gorm:"type:bigint;not null;default:0;index"`               // WorkflowVersionID 为绑定的已发布会话流程版本ID。
+	PublishedRevisionID    int64                           `gorm:"type:bigint;not null;default:0;index"`               // PublishedRevisionID 为当前已发布 Agent 配置快照ID。
+	SortNo                 int                             `gorm:"type:int;not null;default:0;index"`                  // SortNo 为后台展示排序号。
+	AuditFields
+}
+
+// AgentRevision stores an immutable published Agent configuration snapshot.
+type AgentRevision struct {
+	ID                int64        `gorm:"primaryKey;autoIncrement"`
+	AgentID           int64        `gorm:"type:bigint;not null;index;uniqueIndex:uk_agent_revision"`
+	Revision          int          `gorm:"type:int;not null;uniqueIndex:uk_agent_revision"`
+	WorkflowVersionID int64        `gorm:"type:bigint;not null;default:0;index"`
+	Status            enums.Status `gorm:"type:int;not null;default:0;index"`
+	Definition        string       `gorm:"type:longtext"`
+	DefinitionHash    string       `gorm:"type:varchar(64);not null;default:'';index"`
+	PublishedAt       *time.Time   `gorm:"type:datetime;index"`
+	PublishedByID     int64        `gorm:"type:bigint;not null;default:0;index"`
+	PublishedByName   string       `gorm:"type:varchar(100);not null;default:''"`
+	AuditFields
+}
+
+// AgentRun is an Engine-independent record for one Agent reply execution.
+type AgentRun struct {
+	ID               int64      `gorm:"primaryKey;autoIncrement"`
+	ConversationID   int64      `gorm:"type:bigint;not null;default:0;index"`
+	AIAgentID        int64      `gorm:"type:bigint;not null;default:0;index"`
+	AgentRevisionID  int64      `gorm:"type:bigint;not null;default:0;index"`
+	SourceMessageID  int64      `gorm:"type:bigint;not null;default:0;index"`
+	WorkflowRunID    int64      `gorm:"type:bigint;not null;default:0;index"`
+	EngineCode       string     `gorm:"type:varchar(50);not null;default:'';index"`
+	Status           string     `gorm:"type:varchar(30);not null;default:'';index"`
+	PromptTokens     int        `gorm:"type:int;not null;default:0"`
+	CompletionTokens int        `gorm:"type:int;not null;default:0"`
+	StartedAt        time.Time  `gorm:"type:datetime;not null;index"`
+	EndedAt          *time.Time `gorm:"type:datetime;index"`
+	ErrorMessage     string     `gorm:"type:text"`
+	TraceData        string     `gorm:"type:text"`
+	CreatedAt        time.Time  `gorm:"type:datetime;not null;index"`
+	UpdatedAt        time.Time  `gorm:"type:datetime;not null;index"`
+}
+
+// AgentStep records a normalized model, tool, workflow, or policy transition.
+type AgentStep struct {
+	ID            int64      `gorm:"primaryKey;autoIncrement"`
+	AgentRunID    int64      `gorm:"type:bigint;not null;index"`
+	WorkflowRunID int64      `gorm:"type:bigint;not null;default:0;index"`
+	StepType      string     `gorm:"type:varchar(50);not null;default:'';index"`
+	StepCode      string     `gorm:"type:varchar(100);not null;default:'';index"`
+	Status        string     `gorm:"type:varchar(30);not null;default:'';index"`
+	InputPreview  string     `gorm:"type:text"`
+	OutputPreview string     `gorm:"type:text"`
+	ErrorMessage  string     `gorm:"type:text"`
+	StartedAt     time.Time  `gorm:"type:datetime;not null;index"`
+	EndedAt       *time.Time `gorm:"type:datetime;index"`
+	DurationMS    int        `gorm:"type:int;not null;default:0"`
+	CreatedAt     time.Time  `gorm:"type:datetime;not null;index"`
+}
+
+// AgentToolCall records the safety-relevant details of a normalized tool call.
+type AgentToolCall struct {
+	ID               int64     `gorm:"primaryKey;autoIncrement"`
+	AgentRunID       int64     `gorm:"type:bigint;not null;index"`
+	AgentStepID      int64     `gorm:"type:bigint;not null;default:0;index"`
+	ToolCode         string    `gorm:"type:varchar(150);not null;default:'';index"`
+	RiskLevel        string    `gorm:"type:varchar(30);not null;default:'';index"`
+	RequireConfirm   bool      `gorm:"not null;default:false"`
+	Status           string    `gorm:"type:varchar(30);not null;default:'';index"`
+	ArgumentsPreview string    `gorm:"type:text"`
+	ResultPreview    string    `gorm:"type:text"`
+	ErrorMessage     string    `gorm:"type:text"`
+	DurationMS       int       `gorm:"type:int;not null;default:0"`
+	CreatedAt        time.Time `gorm:"type:datetime;not null;index"`
+}
+
+// AgentRunQualityFeedback is an operator-provided quality review for one
+// normalized Agent run. Runtime completion must not be treated as resolution.
+type AgentRunQualityFeedback struct {
+	ID               int64                          `gorm:"primaryKey;autoIncrement"`
+	AgentRunID       int64                          `gorm:"type:bigint;not null;uniqueIndex"`
+	ResolutionStatus enums.AgentRunResolutionStatus `gorm:"type:varchar(20);not null;default:'unknown';index"`
+	EvidenceStatus   enums.AgentRunEvidenceStatus   `gorm:"type:varchar(20);not null;default:'unknown';index"`
+	Comment          string                         `gorm:"type:text"`
 	AuditFields
 }
 
@@ -595,11 +703,13 @@ type AIWorkflowNodeRun struct {
 //	渠道本身负责定义“入口如何识别、默认接入哪个 AI Agent、渠道专属配置是什么”，
 //	而具体消息收发、会话映射等运行时数据由各自的渠道业务表承载。
 type Channel struct {
-	ID          int64  `gorm:"primaryKey;autoIncrement"`                         // ID 为渠道主键。
-	Name        string `gorm:"type:varchar(100);not null;default:'';index"`      // Name 为渠道名称，用于后台展示和业务识别，例如“官网客服”“企业微信主客服”。
-	ChannelType string `gorm:"type:varchar(30);not null;default:'';index"`       // ChannelType 为渠道类型，决定该渠道的接入方式和配置解释规则。当前规划的典型取值包括：web、wxwork_kf。
-	ChannelID   string `gorm:"type:varchar(64);not null;default:'';uniqueIndex"` // ChannelID 为渠道入口标识，由系统自动生成。对 web 渠道，该字段用于前端通过 X-Channel-Id 标识接入来源；对其他渠道，作为统一的系统内稳定渠道标识保留。
-	AIAgentID   int64  `gorm:"type:bigint;not null;default:0;index"`             // AIAgentID 为该渠道默认接入的 AI Agent。 当外部客户通过该渠道首次进入系统且尚未命中现有未结束会话时，系统会使用该 AI Agent 作为会话默认接待实例。
+	ID                            int64  `gorm:"primaryKey;autoIncrement"`                         // ID 为渠道主键。
+	Name                          string `gorm:"type:varchar(100);not null;default:'';index"`      // Name 为渠道名称，用于后台展示和业务识别，例如“官网客服”“企业微信主客服”。
+	ChannelType                   string `gorm:"type:varchar(30);not null;default:'';index"`       // ChannelType 为渠道类型，决定该渠道的接入方式和配置解释规则。当前规划的典型取值包括：web、wxwork_kf。
+	ChannelID                     string `gorm:"type:varchar(64);not null;default:'';uniqueIndex"` // ChannelID 为渠道入口标识，由系统自动生成。对 web 渠道，该字段用于前端通过 X-Channel-Id 标识接入来源；对其他渠道，作为统一的系统内稳定渠道标识保留。
+	AIAgentID                     int64  `gorm:"type:bigint;not null;default:0;index"`             // AIAgentID 为该渠道默认接入的 AI Agent。 当外部客户通过该渠道首次进入系统且尚未命中现有未结束会话时，系统会使用该 AI Agent 作为会话默认接待实例。
+	AIAgentRolloutPercent         int    `gorm:"type:int;not null;default:100"`                    // AIAgentRolloutPercent 为该渠道对 AI 自动回复施加的灰度百分比，100 表示不额外限制。
+	PreviousAIAgentRolloutPercent int    `gorm:"type:int;not null;default:0"`                      // PreviousAIAgentRolloutPercent 保存渠道上一次生效的 Agent 灰度比例，0 表示尚无可回滚值。
 	// ConfigJSON 为渠道专属扩展配置，使用 JSON 存储。
 	// 例如：
 	// 1. web 渠道可记录允许域名、品牌配置等；
@@ -914,6 +1024,8 @@ type ConversationInterrupt struct {
 	ID                  int64      `gorm:"primaryKey;autoIncrement"`
 	ConversationID      int64      `gorm:"type:bigint;not null;default:0;index"`
 	AIAgentID           int64      `gorm:"type:bigint;not null;default:0;index"`
+	AgentRunID          int64      `gorm:"type:bigint;not null;default:0;index"`
+	AgentStepID         int64      `gorm:"type:bigint;not null;default:0;index"`
 	SourceMessageID     int64      `gorm:"type:bigint;not null;default:0;index"`
 	LastResumeMessageID int64      `gorm:"type:bigint;not null;default:0;index"`
 	WorkflowRunID       int64      `gorm:"type:bigint;not null;default:0;index"`

internal/pkg/dto/request/agent_evaluation_request.go

@@ -0,0 +1,15 @@
+package request
+
+type RunAgentEvaluationRequest struct {
+	AIAgentID  int64                 `json:"aiAgentId"`
+	EngineCode string                `json:"engineCode"`
+	Cases      []AgentEvaluationCase `json:"cases"`
+}
+
+type AgentEvaluationCase struct {
+	ID       string         `json:"id"`
+	Category string         `json:"category"`
+	Message  string         `json:"message"`
+	History  []string       `json:"history,omitempty"`
+	Expect   map[string]any `json:"expect,omitempty"`
+}

internal/pkg/dto/request/agent_run_request.go

@@ -0,0 +1,10 @@
+package request
+
+import "agent-desk/internal/pkg/enums"
+
+type SaveAgentRunQualityFeedbackRequest struct {
+	AgentRunID       int64                          `json:"agentRunId"`
+	ResolutionStatus enums.AgentRunResolutionStatus `json:"resolutionStatus"`
+	EvidenceStatus   enums.AgentRunEvidenceStatus   `json:"evidenceStatus"`
+	Comment          string                         `json:"comment"`
+}

internal/pkg/dto/request/ai_request.go

@@ -46,14 +46,21 @@ type CreateAIAgentRequest struct {
 	Name                string                          `json:"name"`
 	Description         string                          `json:"description"`
 	AIConfigID          int64                           `json:"aiConfigId"`
+	RuntimeMode         enums.AIAgentRuntimeMode        `json:"runtimeMode"`
+	MaxSteps            int                             `json:"maxSteps"`
+	ContextWindow       int                             `json:"contextWindow"`
+	ToolPolicy          string                          `json:"toolPolicy"`
+	KnowledgePolicy     string                          `json:"knowledgePolicy"`
 	ServiceMode         enums.IMConversationServiceMode `json:"serviceMode"`
 	SystemPrompt        string                          `json:"systemPrompt"`
 	WelcomeMessage      string                          `json:"welcomeMessage"`
 	ReplyTimeoutSeconds int                             `json:"replyTimeoutSeconds"`
+	RolloutPercent      int                             `json:"rolloutPercent"`
 	TeamIDs             []int64                         `json:"teamIds"`
 	HandoffMode         enums.AIAgentHandoffMode        `json:"handoffMode"`
 	FallbackMode        enums.AIAgentFallbackMode       `json:"fallbackMode"`
 	FallbackMessage     string                          `json:"fallbackMessage"`
+	KnowledgeBaseIDs    []int64                         `json:"knowledgeBaseIds"`
 	SkillIDs            []int64                         `json:"skillIds"`
 	DirectTools         []AIAgentMCPToolRequest         `json:"directTools"`
 }
@@ -67,6 +74,19 @@ type DeleteAIAgentRequest struct {
 	ID int64 `json:"id"`
 }
 
+type PublishAIAgentRequest struct {
+	ID int64 `json:"id"`
+}
+
+type RollbackAIAgentRequest struct {
+	ID         int64 `json:"id"`
+	RevisionID int64 `json:"revisionId"`
+}
+
+type RollbackAIAgentRolloutRequest struct {
+	ID int64 `json:"id"`
+}
+
 type UpdateAIAgentStatusRequest struct {
 	ID     int64 `json:"id"`
 	Status int   `json:"status"`

internal/pkg/dto/request/channel_request.go

@@ -1,12 +1,13 @@
 package request
 
 type CreateChannelRequest struct {
-	ChannelType string `json:"channelType"`
-	AIAgentID   int64  `json:"aiAgentId"`
-	Name        string `json:"name"`
-	ConfigJSON  string `json:"configJson"`
-	Status      int    `json:"status"`
-	Remark      string `json:"remark"`
+	ChannelType           string `json:"channelType"`
+	AIAgentID             int64  `json:"aiAgentId"`
+	AIAgentRolloutPercent int    `json:"aiAgentRolloutPercent"`
+	Name                  string `json:"name"`
+	ConfigJSON            string `json:"configJson"`
+	Status                int    `json:"status"`
+	Remark                string `json:"remark"`
 }
 
 type UpdateChannelRequest struct {
@@ -19,6 +20,10 @@ type UpdateChannelStatusRequest struct {
 	Status int   `json:"status"`
 }
 
+type RollbackChannelAIAgentRolloutRequest struct {
+	ID int64 `json:"id"`
+}
+
 type DeleteChannelRequest struct {
 	ID int64 `json:"id"`
 }

internal/pkg/dto/response/agent_evaluation_response.go

@@ -0,0 +1,20 @@
+package response
+
+type AgentEvaluationResultResponse struct {
+	CaseID      string `json:"caseId"`
+	Category    string `json:"category"`
+	EngineCode  string `json:"engineCode"`
+	Passed      bool   `json:"passed"`
+	ReplyText   string `json:"replyText"`
+	Interrupted bool   `json:"interrupted"`
+	Error       string `json:"error,omitempty"`
+	Finding     string `json:"finding,omitempty"`
+}
+
+type AgentEvaluationReportResponse struct {
+	EngineCode string                          `json:"engineCode"`
+	Total      int                             `json:"total"`
+	Passed     int                             `json:"passed"`
+	Results    []AgentEvaluationResultResponse `json:"results"`
+	CSV        string                          `json:"csv"`
+}

internal/pkg/dto/response/agent_run_response.go

@@ -0,0 +1,66 @@
+package response
+
+import "agent-desk/internal/pkg/enums"
+
+type AgentRunResponse struct {
+	ID               int64                            `json:"id"`
+	ConversationID   int64                            `json:"conversationId"`
+	AIAgentID        int64                            `json:"aiAgentId"`
+	AgentRevisionID  int64                            `json:"agentRevisionId"`
+	SourceMessageID  int64                            `json:"sourceMessageId"`
+	WorkflowRunID    int64                            `json:"workflowRunId"`
+	EngineCode       string                           `json:"engineCode"`
+	Status           string                           `json:"status"`
+	PromptTokens     int                              `json:"promptTokens"`
+	CompletionTokens int                              `json:"completionTokens"`
+	StartedAt        string                           `json:"startedAt"`
+	EndedAt          string                           `json:"endedAt"`
+	DurationMS       int64                            `json:"durationMs"`
+	ErrorMessage     string                           `json:"errorMessage"`
+	TraceData        string                           `json:"traceData"`
+	CreatedAt        string                           `json:"createdAt"`
+	UpdatedAt        string                           `json:"updatedAt"`
+	Steps            []AgentStepResponse              `json:"steps,omitempty"`
+	ToolCalls        []AgentToolCallResponse          `json:"toolCalls,omitempty"`
+	QualityFeedback  *AgentRunQualityFeedbackResponse `json:"qualityFeedback,omitempty"`
+}
+
+type AgentRunQualityFeedbackResponse struct {
+	ID               int64                          `json:"id"`
+	AgentRunID       int64                          `json:"agentRunId"`
+	ResolutionStatus enums.AgentRunResolutionStatus `json:"resolutionStatus"`
+	EvidenceStatus   enums.AgentRunEvidenceStatus   `json:"evidenceStatus"`
+	Comment          string                         `json:"comment"`
+	UpdateUserName   string                         `json:"updateUserName"`
+	UpdatedAt        string                         `json:"updatedAt"`
+}
+
+type AgentStepResponse struct {
+	ID            int64  `json:"id"`
+	AgentRunID    int64  `json:"agentRunId"`
+	WorkflowRunID int64  `json:"workflowRunId"`
+	StepType      string `json:"stepType"`
+	StepCode      string `json:"stepCode"`
+	Status        string `json:"status"`
+	InputPreview  string `json:"inputPreview"`
+	OutputPreview string `json:"outputPreview"`
+	ErrorMessage  string `json:"errorMessage"`
+	StartedAt     string `json:"startedAt"`
+	EndedAt       string `json:"endedAt"`
+	DurationMS    int    `json:"durationMs"`
+}
+
+type AgentToolCallResponse struct {
+	ID               int64  `json:"id"`
+	AgentRunID       int64  `json:"agentRunId"`
+	AgentStepID      int64  `json:"agentStepId"`
+	ToolCode         string `json:"toolCode"`
+	RiskLevel        string `json:"riskLevel"`
+	RequireConfirm   bool   `json:"requireConfirm"`
+	Status           string `json:"status"`
+	ArgumentsPreview string `json:"argumentsPreview"`
+	ResultPreview    string `json:"resultPreview"`
+	ErrorMessage     string `json:"errorMessage"`
+	DurationMS       int    `json:"durationMs"`
+	CreatedAt        string `json:"createdAt"`
+}

internal/pkg/dto/response/ai_response.go

@@ -24,6 +24,18 @@ type AIAgentMCPToolResponse struct {
 	Arguments   map[string]string `json:"arguments"`
 }
 
+type AgentRevisionResponse struct {
+	ID                int64        `json:"id"`
+	AgentID           int64        `json:"agentId"`
+	Revision          int          `json:"revision"`
+	WorkflowVersionID int64        `json:"workflowVersionId"`
+	Status            enums.Status `json:"status"`
+	DefinitionHash    string       `json:"definitionHash"`
+	PublishedAt       string       `json:"publishedAt"`
+	PublishedByID     int64        `json:"publishedById"`
+	PublishedByName   string       `json:"publishedByName"`
+}
+
 type AIConfigResponse struct {
 	ID               int64             `json:"id"`
 	Name             string            `json:"name"`
@@ -67,34 +79,44 @@ func BuildAIConfigResponse(item *models.AIConfig) AIConfigResponse {
 }
 
 type AIAgentResponse struct {
-	ID                  int64                           `json:"id"`
-	Name                string                          `json:"name"`
-	Description         string                          `json:"description"`
-	Status              enums.Status                    `json:"status"`
-	StatusName          string                          `json:"statusName"`
-	AIConfigID          int64                           `json:"aiConfigId"`
-	AIConfigName        string                          `json:"aiConfigName"`
-	ServiceMode         enums.IMConversationServiceMode `json:"serviceMode"`
-	ServiceModeName     string                          `json:"serviceModeName"`
-	SystemPrompt        string                          `json:"systemPrompt"`
-	WelcomeMessage      string                          `json:"welcomeMessage"`
-	ReplyTimeoutSeconds int                             `json:"replyTimeoutSeconds"`
-	Teams               []AIAgentTeamResponse           `json:"teams"`
-	HandoffMode         enums.AIAgentHandoffMode        `json:"handoffMode"`
-	HandoffModeName     string                          `json:"handoffModeName"`
-	FallbackMode        enums.AIAgentFallbackMode       `json:"fallbackMode"`
-	FallbackModeName    string                          `json:"fallbackModeName"`
-	FallbackMessage     string                          `json:"fallbackMessage"`
-	SkillIDs            []int64                         `json:"skillIds"`
-	Skills              []AIAgentSkillResponse          `json:"skills"`
-	DirectTools         []AIAgentMCPToolResponse        `json:"directTools"`
-	WorkflowVersionID   int64                           `json:"workflowVersionId"`
-	WorkflowPublished   bool                            `json:"workflowPublished"`
-	WorkflowState       string                          `json:"workflowState"`
-	WorkflowStateText   string                          `json:"workflowStateText"`
-	SortNo              int                             `json:"sortNo"`
-	CreatedAt           string                          `json:"createdAt"`
-	UpdatedAt           string                          `json:"updatedAt"`
-	CreateUserName      string                          `json:"createUserName"`
-	UpdateUserName      string                          `json:"updateUserName"`
+	ID                     int64                           `json:"id"`
+	Name                   string                          `json:"name"`
+	Description            string                          `json:"description"`
+	Status                 enums.Status                    `json:"status"`
+	StatusName             string                          `json:"statusName"`
+	AIConfigID             int64                           `json:"aiConfigId"`
+	AIConfigName           string                          `json:"aiConfigName"`
+	RuntimeMode            enums.AIAgentRuntimeMode        `json:"runtimeMode"`
+	RuntimeModeName        string                          `json:"runtimeModeName"`
+	MaxSteps               int                             `json:"maxSteps"`
+	ContextWindow          int                             `json:"contextWindow"`
+	ToolPolicy             string                          `json:"toolPolicy"`
+	KnowledgePolicy        string                          `json:"knowledgePolicy"`
+	ServiceMode            enums.IMConversationServiceMode `json:"serviceMode"`
+	ServiceModeName        string                          `json:"serviceModeName"`
+	SystemPrompt           string                          `json:"systemPrompt"`
+	WelcomeMessage         string                          `json:"welcomeMessage"`
+	ReplyTimeoutSeconds    int                             `json:"replyTimeoutSeconds"`
+	RolloutPercent         int                             `json:"rolloutPercent"`
+	PreviousRolloutPercent int                             `json:"previousRolloutPercent"`
+	Teams                  []AIAgentTeamResponse           `json:"teams"`
+	HandoffMode            enums.AIAgentHandoffMode        `json:"handoffMode"`
+	HandoffModeName        string                          `json:"handoffModeName"`
+	FallbackMode           enums.AIAgentFallbackMode       `json:"fallbackMode"`
+	FallbackModeName       string                          `json:"fallbackModeName"`
+	FallbackMessage        string                          `json:"fallbackMessage"`
+	KnowledgeBaseIDs       []int64                         `json:"knowledgeBaseIds"`
+	SkillIDs               []int64                         `json:"skillIds"`
+	Skills                 []AIAgentSkillResponse          `json:"skills"`
+	DirectTools            []AIAgentMCPToolResponse        `json:"directTools"`
+	WorkflowVersionID      int64                           `json:"workflowVersionId"`
+	PublishedRevisionID    int64                           `json:"publishedRevisionId"`
+	WorkflowPublished      bool                            `json:"workflowPublished"`
+	WorkflowState          string                          `json:"workflowState"`
+	WorkflowStateText      string                          `json:"workflowStateText"`
+	SortNo                 int                             `json:"sortNo"`
+	CreatedAt              string                          `json:"createdAt"`
+	UpdatedAt              string                          `json:"updatedAt"`
+	CreateUserName         string                          `json:"createUserName"`
+	UpdateUserName         string                          `json:"updateUserName"`
 }

internal/pkg/dto/response/ai_workflow_response.go

@@ -41,6 +41,13 @@ type AIWorkflowValidationResponse struct {
 	Errors []workflowvalidator.Error `json:"errors"`
 }
 
+type AIWorkflowTemplateResponse struct {
+	Code        string         `json:"code"`
+	Name        string         `json:"name"`
+	Description string         `json:"description"`
+	Definition  dsl.Definition `json:"definition"`
+}
+
 type AIWorkflowNodeSpecResponse struct {
 	Type                            string                          `json:"type"`
 	Title                           string                          `json:"title"`

internal/pkg/dto/response/channel_response.go

@@ -6,15 +6,17 @@ import (
 )
 
 type ChannelResponse struct {
-	ID          int64        `json:"id"`
-	ChannelType string       `json:"channelType"`
-	ChannelID   string       `json:"channelId"`
-	AIAgentID   int64        `json:"aiAgentId"`
-	AIAgentName string       `json:"aiAgentName,omitempty"`
-	Name        string       `json:"name"`
-	ConfigJSON  string       `json:"configJson"`
-	Status      enums.Status `json:"status"`
-	Remark      string       `json:"remark"`
+	ID                            int64        `json:"id"`
+	ChannelType                   string       `json:"channelType"`
+	ChannelID                     string       `json:"channelId"`
+	AIAgentID                     int64        `json:"aiAgentId"`
+	AIAgentRolloutPercent         int          `json:"aiAgentRolloutPercent"`
+	PreviousAIAgentRolloutPercent int          `json:"previousAiAgentRolloutPercent"`
+	AIAgentName                   string       `json:"aiAgentName,omitempty"`
+	Name                          string       `json:"name"`
+	ConfigJSON                    string       `json:"configJson"`
+	Status                        enums.Status `json:"status"`
+	Remark                        string       `json:"remark"`
 }
 
 type WxWorkKFAccountResponse struct {
@@ -29,13 +31,15 @@ func BuildChannelResponse(item *models.Channel) ChannelResponse {
 		return ChannelResponse{}
 	}
 	return ChannelResponse{
-		ID:          item.ID,
-		ChannelType: item.ChannelType,
-		ChannelID:   item.ChannelID,
-		AIAgentID:   item.AIAgentID,
-		Name:        item.Name,
-		ConfigJSON:  item.ConfigJSON,
-		Status:      item.Status,
-		Remark:      item.Remark,
+		ID:                            item.ID,
+		ChannelType:                   item.ChannelType,
+		ChannelID:                     item.ChannelID,
+		AIAgentID:                     item.AIAgentID,
+		AIAgentRolloutPercent:         item.AIAgentRolloutPercent,
+		PreviousAIAgentRolloutPercent: item.PreviousAIAgentRolloutPercent,
+		Name:                          item.Name,
+		ConfigJSON:                    item.ConfigJSON,
+		Status:                        item.Status,
+		Remark:                        item.Remark,
 	}
 }

internal/pkg/enums/agent.go

@@ -1,5 +1,33 @@
 package enums
 
+type AgentRunResolutionStatus string
+
+const (
+	AgentRunResolutionStatusUnknown    AgentRunResolutionStatus = "unknown"
+	AgentRunResolutionStatusResolved   AgentRunResolutionStatus = "resolved"
+	AgentRunResolutionStatusUnresolved AgentRunResolutionStatus = "unresolved"
+)
+
+var AgentRunResolutionStatusValues = []AgentRunResolutionStatus{
+	AgentRunResolutionStatusUnknown,
+	AgentRunResolutionStatusResolved,
+	AgentRunResolutionStatusUnresolved,
+}
+
+type AgentRunEvidenceStatus string
+
+const (
+	AgentRunEvidenceStatusUnknown     AgentRunEvidenceStatus = "unknown"
+	AgentRunEvidenceStatusSupported   AgentRunEvidenceStatus = "supported"
+	AgentRunEvidenceStatusUnsupported AgentRunEvidenceStatus = "unsupported"
+)
+
+var AgentRunEvidenceStatusValues = []AgentRunEvidenceStatus{
+	AgentRunEvidenceStatusUnknown,
+	AgentRunEvidenceStatusSupported,
+	AgentRunEvidenceStatusUnsupported,
+}
+
 type ServiceStatus int
 
 const (

internal/pkg/enums/im.go

@@ -220,22 +220,58 @@ type AIAgentFallbackMode int
 const (
 	AIAgentFallbackModeNoAnswer     AIAgentFallbackMode = 1
 	AIAgentFallbackModeSuggestRetry AIAgentFallbackMode = 2
+	AIAgentFallbackModeHandoff      AIAgentFallbackMode = 3
 )
 
 var AIAgentFallbackModeValues = []AIAgentFallbackMode{
 	AIAgentFallbackModeNoAnswer,
 	AIAgentFallbackModeSuggestRetry,
+	AIAgentFallbackModeHandoff,
 }
 
 var aiAgentFallbackModeLabelMap = map[AIAgentFallbackMode]string{
 	AIAgentFallbackModeNoAnswer:     "直接说明知识不足",
 	AIAgentFallbackModeSuggestRetry: "引导用户补充信息",
+	AIAgentFallbackModeHandoff:      "转人工客服",
 }
 
 func GetAIAgentFallbackModeLabel(mode AIAgentFallbackMode) string {
 	return aiAgentFallbackModeLabelMap[mode]
 }
 
+type AIAgentRuntimeMode string
+
+const (
+	AIAgentRuntimeModeWorkflow   AIAgentRuntimeMode = "workflow"
+	AIAgentRuntimeModeAutonomous AIAgentRuntimeMode = "autonomous"
+	AIAgentRuntimeModeHybrid     AIAgentRuntimeMode = "hybrid"
+)
+
+var AIAgentRuntimeModeValues = []AIAgentRuntimeMode{
+	AIAgentRuntimeModeWorkflow,
+	AIAgentRuntimeModeAutonomous,
+	AIAgentRuntimeModeHybrid,
+}
+
+var aiAgentRuntimeModeLabelMap = map[AIAgentRuntimeMode]string{
+	AIAgentRuntimeModeWorkflow:   "流程编排",
+	AIAgentRuntimeModeAutonomous: "自主运行",
+	AIAgentRuntimeModeHybrid:     "混合运行",
+}
+
+func GetAIAgentRuntimeModeLabel(mode AIAgentRuntimeMode) string {
+	return aiAgentRuntimeModeLabelMap[mode]
+}
+
+func IsValidAIAgentRuntimeMode(mode AIAgentRuntimeMode) bool {
+	for _, item := range AIAgentRuntimeModeValues {
+		if item == mode {
+			return true
+		}
+	}
+	return false
+}
+
 const (
 	IMRealtimeEventConnected               = "connected"
 	IMRealtimeEventPong                    = "pong"

internal/pkg/toolx/builtin_tools.go

@@ -57,6 +57,24 @@ var (
 		SourceType:     enums.ToolSourceTypeBuiltin,
 		AutoInjected:   true,
 	}
+	BuiltinConversationContext = ToolSpec{
+		Code:         "builtin/conversation_context",
+		ServerCode:   "builtin",
+		Name:         "conversation_context",
+		Title:        "会话上下文",
+		Description:  "读取当前客户基础信息和会话摘要。",
+		SourceType:   enums.ToolSourceTypeBuiltin,
+		DirectAccess: true,
+	}
+	BuiltinKnowledgeRetrieve = ToolSpec{
+		Code:         "builtin/knowledge_retrieve",
+		ServerCode:   "builtin",
+		Name:         "knowledge_retrieve",
+		Title:        "知识检索",
+		Description:  "在当前 Agent 已绑定的知识库中检索证据。",
+		SourceType:   enums.ToolSourceTypeBuiltin,
+		DirectAccess: true,
+	}
 	GraphTriageServiceRequest = ToolSpec{
 		Code:           "graph/triage_service_request",
 		ServerCode:     "graph",
@@ -66,6 +84,7 @@ var (
 		Description:    i18nx.Get("tool.graph.triageServiceRequest.description"),
 		DescriptionKey: "tool.graph.triageServiceRequest.description",
 		SourceType:     enums.ToolSourceTypeGraph,
+		DirectAccess:   true,
 		RuntimeStatic:  true,
 		Appendix:       i18nx.Get("tool.graph.triageServiceRequest.appendix"),
 		AppendixKey:    "tool.graph.triageServiceRequest.appendix",
@@ -80,6 +99,7 @@ var (
 		DescriptionKey: "tool.graph.analyzeConversation.description",
 		SourceType:     enums.ToolSourceTypeGraph,
 		RuntimeStatic:  true,
+		DirectAccess:   true,
 		Appendix:       i18nx.Get("tool.graph.analyzeConversation.appendix"),
 		AppendixKey:    "tool.graph.analyzeConversation.appendix",
 	}
@@ -92,6 +112,7 @@ var (
 		Description:    i18nx.Get("tool.graph.prepareTicketDraft.description"),
 		DescriptionKey: "tool.graph.prepareTicketDraft.description",
 		SourceType:     enums.ToolSourceTypeGraph,
+		DirectAccess:   true,
 		RuntimeStatic:  true,
 		Appendix:       i18nx.Get("tool.graph.prepareTicketDraft.appendix"),
 		AppendixKey:    "tool.graph.prepareTicketDraft.appendix",
@@ -105,7 +126,6 @@ var (
 		Description:    i18nx.Get("tool.graph.createTicketConfirm.description"),
 		DescriptionKey: "tool.graph.createTicketConfirm.description",
 		SourceType:     enums.ToolSourceTypeGraph,
-		DirectAccess:   true,
 		RuntimeStatic:  true,
 		Aliases:        []string{"builtin/create_ticket_with_confirmation"},
 		Appendix:       i18nx.Get("tool.graph.createTicketConfirm.appendix"),
@@ -120,7 +140,6 @@ var (
 		Description:    i18nx.Get("tool.graph.handoffConversation.description"),
 		DescriptionKey: "tool.graph.handoffConversation.description",
 		SourceType:     enums.ToolSourceTypeGraph,
-		DirectAccess:   true,
 		RuntimeStatic:  true,
 		Appendix:       i18nx.Get("tool.graph.handoffConversation.appendix"),
 		AppendixKey:    "tool.graph.handoffConversation.appendix",
@@ -128,6 +147,8 @@ var (
 	RegisteredToolSpecs = []ToolSpec{
 		BuiltinToolSearch,
 		BuiltinSkill,
+		BuiltinConversationContext,
+		BuiltinKnowledgeRetrieve,
 		GraphTriageServiceRequest,
 		GraphAnalyzeConversation,
 		GraphPrepareTicketDraft,

internal/repositories/agent_revision_repository.go

@@ -0,0 +1,56 @@
+package repositories
+
+import (
+	"agent-desk/internal/models"
+
+	"gorm.io/gorm"
+)
+
+var AgentRevisionRepository = newAgentRevisionRepository()
+
+func newAgentRevisionRepository() *agentRevisionRepository {
+	return &agentRevisionRepository{}
+}
+
+type agentRevisionRepository struct{}
+
+func (r *agentRevisionRepository) Get(db *gorm.DB, id int64) *models.AgentRevision {
+	ret := &models.AgentRevision{}
+	if err := db.First(ret, "id = ?", id).Error; err != nil {
+		return nil
+	}
+	return ret
+}
+
+func (r *agentRevisionRepository) Create(db *gorm.DB, item *models.AgentRevision) error {
+	return db.Create(item).Error
+}
+
+func (r *agentRevisionRepository) FindByAgentID(db *gorm.DB, agentID int64) []models.AgentRevision {
+	if agentID <= 0 {
+		return []models.AgentRevision{}
+	}
+	items := make([]models.AgentRevision, 0)
+	db.Where("agent_id = ?", agentID).Order("revision DESC, id DESC").Find(&items)
+	return items
+}
+
+func (r *agentRevisionRepository) MaxRevisionByAgentID(db *gorm.DB, agentID int64) int {
+	if agentID <= 0 {
+		return 0
+	}
+	var ret int
+	db.Model(&models.AgentRevision{}).Where("agent_id = ?", agentID).Select("COALESCE(MAX(revision), 0)").Scan(&ret)
+	return ret
+}
+
+func (r *agentRevisionRepository) TakeByAgentIDAndWorkflowVersionID(db *gorm.DB, agentID int64, workflowVersionID int64) *models.AgentRevision {
+	if agentID <= 0 || workflowVersionID <= 0 {
+		return nil
+	}
+	ret := &models.AgentRevision{}
+	if err := db.Where("agent_id = ? AND workflow_version_id = ?", agentID, workflowVersionID).Order("id DESC").First(ret).Error; err != nil {
+		return nil
+	}
+	return ret
+}

internal/repositories/agent_run_quality_feedback_repository.go

@@ -0,0 +1,45 @@
+package repositories
+
+import (
+	"agent-desk/internal/models"
+
+	"gorm.io/gorm"
+)
+
+var AgentRunQualityFeedbackRepository = newAgentRunQualityFeedbackRepository()
+
+func newAgentRunQualityFeedbackRepository() *agentRunQualityFeedbackRepository {
+	return &agentRunQualityFeedbackRepository{}
+}
+
+type agentRunQualityFeedbackRepository struct{}
+
+func (r *agentRunQualityFeedbackRepository) GetByAgentRunID(db *gorm.DB, agentRunID int64) *models.AgentRunQualityFeedback {
+	if agentRunID <= 0 {
+		return nil
+	}
+	item := &models.AgentRunQualityFeedback{}
+	if err := db.Where("agent_run_id = ?", agentRunID).First(item).Error; err != nil {
+		return nil
+	}
+	return item
+}
+
+func (r *agentRunQualityFeedbackRepository) FindByAgentRunIDs(db *gorm.DB, agentRunIDs []int64) []models.AgentRunQualityFeedback {
+	if len(agentRunIDs) == 0 {
+		return []models.AgentRunQualityFeedback{}
+	}
+	var items []models.AgentRunQualityFeedback
+	if err := db.Where("agent_run_id IN ?", agentRunIDs).Find(&items).Error; err != nil {
+		return []models.AgentRunQualityFeedback{}
+	}
+	return items
+}
+
+func (r *agentRunQualityFeedbackRepository) Create(db *gorm.DB, item *models.AgentRunQualityFeedback) error {
+	return db.Create(item).Error
+}
+
+func (r *agentRunQualityFeedbackRepository) Updates(db *gorm.DB, id int64, columns map[string]any) error {
+	return db.Model(&models.AgentRunQualityFeedback{}).Where("id = ?", id).Updates(columns).Error
+}

internal/repositories/agent_run_repository.go

@@ -0,0 +1,68 @@
+package repositories
+
+import (
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/httpx/params"
+
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+)
+
+var AgentRunRepository = newAgentRunRepository()
+
+func newAgentRunRepository() *agentRunRepository {
+	return &agentRunRepository{}
+}
+
+type agentRunRepository struct{}
+
+func (r *agentRunRepository) Get(db *gorm.DB, id int64) *models.AgentRun {
+	ret := &models.AgentRun{}
+	if err := db.First(ret, "id = ?", id).Error; err != nil {
+		return nil
+	}
+	return ret
+}
+
+func (r *agentRunRepository) TakeByWorkflowRunID(db *gorm.DB, workflowRunID int64) *models.AgentRun {
+	if workflowRunID <= 0 {
+		return nil
+	}
+	ret := &models.AgentRun{}
+	if err := db.Where("workflow_run_id = ?", workflowRunID).Order("id DESC").First(ret).Error; err != nil {
+		return nil
+	}
+	return ret
+}
+
+func (r *agentRunRepository) Create(db *gorm.DB, item *models.AgentRun) error {
+	return db.Create(item).Error
+}
+
+func (r *agentRunRepository) FindPageByCnd(db *gorm.DB, cnd *sqls.Cnd) (list []models.AgentRun, paging *sqls.Paging) {
+	cnd.Find(db, &list)
+	return list, &sqls.Paging{Page: cnd.Paging.Page, Limit: cnd.Paging.Limit, Total: cnd.Count(db, &models.AgentRun{})}
+}
+
+func (r *agentRunRepository) FindPageByParams(db *gorm.DB, queryParams *params.QueryParams) (list []models.AgentRun, paging *sqls.Paging) {
+	return r.FindPageByCnd(db, &queryParams.Cnd)
+}
+
+func (r *agentRunRepository) Updates(db *gorm.DB, id int64, columns map[string]any) error {
+	return db.Model(&models.AgentRun{}).Where("id = ?", id).Updates(columns).Error
+}
+
+func (r *agentRunRepository) FindRecent(db *gorm.DB, aiAgentID int64, limit int) []models.AgentRun {
+	if limit <= 0 || limit > 5000 {
+		limit = 5000
+	}
+	query := db.Order("id DESC").Limit(limit)
+	if aiAgentID > 0 {
+		query = query.Where("ai_agent_id = ?", aiAgentID)
+	}
+	var items []models.AgentRun
+	if err := query.Find(&items).Error; err != nil {
+		return nil
+	}
+	return items
+}

internal/repositories/agent_step_repository.go

@@ -0,0 +1,54 @@
+package repositories
+
+import (
+	"agent-desk/internal/models"
+
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+)
+
+var AgentStepRepository = newAgentStepRepository()
+
+func newAgentStepRepository() *agentStepRepository {
+	return &agentStepRepository{}
+}
+
+type agentStepRepository struct{}
+
+func (r *agentStepRepository) Create(db *gorm.DB, item *models.AgentStep) error {
+	return db.Create(item).Error
+}
+
+func (r *agentStepRepository) FindByAgentRunID(db *gorm.DB, agentRunID int64) []models.AgentStep {
+	if agentRunID <= 0 {
+		return []models.AgentStep{}
+	}
+	return r.Find(db, sqls.NewCnd().Eq("agent_run_id", agentRunID).Asc("id"))
+}
+
+func (r *agentStepRepository) LastByAgentRunID(db *gorm.DB, agentRunID int64) *models.AgentStep {
+	if agentRunID <= 0 {
+		return nil
+	}
+	ret := &models.AgentStep{}
+	if err := db.Where("agent_run_id = ?", agentRunID).Order("id DESC").First(ret).Error; err != nil {
+		return nil
+	}
+	return ret
+}
+
+func (r *agentStepRepository) FindByAgentRunIDs(db *gorm.DB, agentRunIDs []int64) []models.AgentStep {
+	if len(agentRunIDs) == 0 {
+		return nil
+	}
+	var items []models.AgentStep
+	if err := db.Where("agent_run_id IN ?", agentRunIDs).Find(&items).Error; err != nil {
+		return nil
+	}
+	return items
+}
+
+func (r *agentStepRepository) Find(db *gorm.DB, cnd *sqls.Cnd) (list []models.AgentStep) {
+	cnd.Find(db, &list)
+	return
+}

internal/repositories/agent_tool_call_repository.go

@@ -0,0 +1,43 @@
+package repositories
+
+import (
+	"agent-desk/internal/models"
+
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+)
+
+var AgentToolCallRepository = newAgentToolCallRepository()
+
+func newAgentToolCallRepository() *agentToolCallRepository {
+	return &agentToolCallRepository{}
+}
+
+type agentToolCallRepository struct{}
+
+func (r *agentToolCallRepository) Create(db *gorm.DB, item *models.AgentToolCall) error {
+	return db.Create(item).Error
+}
+
+func (r *agentToolCallRepository) FindByAgentRunID(db *gorm.DB, agentRunID int64) []models.AgentToolCall {
+	if agentRunID <= 0 {
+		return []models.AgentToolCall{}
+	}
+	return r.Find(db, sqls.NewCnd().Eq("agent_run_id", agentRunID).Asc("id"))
+}
+
+func (r *agentToolCallRepository) FindByAgentRunIDs(db *gorm.DB, agentRunIDs []int64) []models.AgentToolCall {
+	if len(agentRunIDs) == 0 {
+		return nil
+	}
+	var items []models.AgentToolCall
+	if err := db.Where("agent_run_id IN ?", agentRunIDs).Find(&items).Error; err != nil {
+		return nil
+	}
+	return items
+}
+
+func (r *agentToolCallRepository) Find(db *gorm.DB, cnd *sqls.Cnd) (list []models.AgentToolCall) {
+	cnd.Find(db, &list)
+	return
+}

internal/repositories/agent_tool_invocation_repository.go

@@ -0,0 +1,34 @@
+package repositories
+
+import (
+	"agent-desk/internal/models"
+
+	"gorm.io/gorm"
+)
+
+var AgentToolInvocationRepository = newAgentToolInvocationRepository()
+
+func newAgentToolInvocationRepository() *agentToolInvocationRepository {
+	return &agentToolInvocationRepository{}
+}
+
+type agentToolInvocationRepository struct{}
+
+func (r *agentToolInvocationRepository) GetByIdempotencyKey(db *gorm.DB, conversationID int64, toolCode, idempotencyKey string) *models.AgentToolInvocation {
+	if conversationID <= 0 || toolCode == "" || idempotencyKey == "" {
+		return nil
+	}
+	var item models.AgentToolInvocation
+	if err := db.Where("conversation_id = ? AND tool_code = ? AND idempotency_key = ?", conversationID, toolCode, idempotencyKey).First(&item).Error; err != nil {
+		return nil
+	}
+	return &item
+}
+
+func (r *agentToolInvocationRepository) Create(db *gorm.DB, item *models.AgentToolInvocation) error {
+	return db.Create(item).Error
+}
+
+func (r *agentToolInvocationRepository) Updates(db *gorm.DB, id int64, values map[string]any) error {
+	return db.Model(&models.AgentToolInvocation{}).Where("id = ?", id).Updates(values).Error
+}

internal/repositories/conversation_interrupt_repository.go

@@ -39,6 +39,17 @@ func (r *conversationInterruptRepository) FindLatestPendingByConversationID(db *
 	return ret
 }
 
+func (r *conversationInterruptRepository) FindByAgentRunIDs(db *gorm.DB, agentRunIDs []int64) []models.ConversationInterrupt {
+	if len(agentRunIDs) == 0 {
+		return []models.ConversationInterrupt{}
+	}
+	var items []models.ConversationInterrupt
+	if err := db.Where("agent_run_id IN ?", agentRunIDs).Find(&items).Error; err != nil {
+		return []models.ConversationInterrupt{}
+	}
+	return items
+}
+
 func (r *conversationInterruptRepository) Find(db *gorm.DB, cnd *sqls.Cnd) (list []models.ConversationInterrupt) {
 	cnd.Find(db, &list)
 	return
@@ -72,6 +83,8 @@ func (r *conversationInterruptRepository) UpsertByCheckPointID(db *gorm.DB, item
 	columns := map[string]any{
 		"conversation_id":        item.ConversationID,
 		"ai_agent_id":            item.AIAgentID,
+		"agent_run_id":           item.AgentRunID,
+		"agent_step_id":          item.AgentStepID,
 		"source_message_id":      item.SourceMessageID,
 		"last_resume_message_id": item.LastResumeMessageID,
 		"workflow_run_id":        item.WorkflowRunID,

internal/repositories/conversation_repository.go

@@ -77,6 +77,30 @@ func (r *conversationRepository) Count(db *gorm.DB, cnd *sqls.Cnd) int64 {
 	return cnd.Count(db, &models.Conversation{})
 }
 
+func (r *conversationRepository) CountByAIAgentID(db *gorm.DB, aiAgentID int64) int64 {
+	query := db.Model(&models.Conversation{})
+	if aiAgentID > 0 {
+		query = query.Where("ai_agent_id = ?", aiAgentID)
+	}
+	var count int64
+	if err := query.Count(&count).Error; err != nil {
+		return 0
+	}
+	return count
+}
+
+func (r *conversationRepository) CountHandoffByAIAgentID(db *gorm.DB, aiAgentID int64) int64 {
+	query := db.Model(&models.Conversation{}).Where("handoff_at IS NOT NULL")
+	if aiAgentID > 0 {
+		query = query.Where("ai_agent_id = ?", aiAgentID)
+	}
+	var count int64
+	if err := query.Count(&count).Error; err != nil {
+		return 0
+	}
+	return count
+}
+
 func (r *conversationRepository) Create(db *gorm.DB, t *models.Conversation) (err error) {
 	err = db.Create(t).Error
 	return

internal/services/agent_evaluation_service.go

@@ -0,0 +1,37 @@
+package services
+
+import (
+	"context"
+	"fmt"
+	"strings"
+
+	"agent-desk/internal/pkg/dto/request"
+	"agent-desk/internal/pkg/dto/response"
+	"agent-desk/internal/pkg/errorsx"
+)
+
+var AgentEvaluationService = newAgentEvaluationService()
+var AgentEvaluationRunHook func(context.Context, request.RunAgentEvaluationRequest) (*response.AgentEvaluationReportResponse, error)
+
+type agentEvaluationService struct{}
+
+func newAgentEvaluationService() *agentEvaluationService { return &agentEvaluationService{} }
+
+func (s *agentEvaluationService) Run(ctx context.Context, req request.RunAgentEvaluationRequest) (*response.AgentEvaluationReportResponse, error) {
+	if req.AIAgentID <= 0 {
+		return nil, errorsx.InvalidParam("ai agent id is required")
+	}
+	if strings.TrimSpace(req.EngineCode) == "" {
+		return nil, errorsx.InvalidParam("engine code is required")
+	}
+	if len(req.Cases) == 0 {
+		return nil, errorsx.InvalidParam("evaluation cases are required")
+	}
+	if len(req.Cases) > 100 {
+		return nil, errorsx.InvalidParam("evaluation case limit exceeded")
+	}
+	if AgentEvaluationRunHook == nil {
+		return nil, fmt.Errorf("agent evaluation runner is not initialized")
+	}
+	return AgentEvaluationRunHook(ctx, req)
+}

internal/services/agent_evaluation_service_test.go

@@ -0,0 +1,26 @@
+package services
+
+import (
+	"context"
+	"testing"
+
+	"agent-desk/internal/pkg/dto/request"
+	"agent-desk/internal/pkg/dto/response"
+)
+
+func TestAgentEvaluationServiceValidatesAndCallsRunner(t *testing.T) {
+	previous := AgentEvaluationRunHook
+	t.Cleanup(func() { AgentEvaluationRunHook = previous })
+	called := false
+	AgentEvaluationRunHook = func(_ context.Context, req request.RunAgentEvaluationRequest) (*response.AgentEvaluationReportResponse, error) {
+		called = true
+		return &response.AgentEvaluationReportResponse{EngineCode: req.EngineCode, Total: len(req.Cases)}, nil
+	}
+	result, err := AgentEvaluationService.Run(context.Background(), request.RunAgentEvaluationRequest{AIAgentID: 1, EngineCode: "autonomous", Cases: []request.AgentEvaluationCase{{ID: "faq", Message: "hello"}}})
+	if err != nil || !called || result.Total != 1 {
+		t.Fatalf("result=%#v called=%t err=%v", result, called, err)
+	}
+	if _, err := AgentEvaluationService.Run(context.Background(), request.RunAgentEvaluationRequest{}); err == nil {
+		t.Fatal("expected invalid request")
+	}
+}

internal/services/agent_revision_service.go

@@ -0,0 +1,214 @@
+package services
+
+import (
+	"crypto/sha256"
+	"encoding/hex"
+	"encoding/json"
+	"strings"
+	"time"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/dto"
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/errorsx"
+	"agent-desk/internal/pkg/utils"
+	"agent-desk/internal/repositories"
+
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+)
+
+var AgentRevisionService = newAgentRevisionService()
+
+func newAgentRevisionService() *agentRevisionService {
+	return &agentRevisionService{}
+}
+
+type agentRevisionService struct{}
+
+func (s *agentRevisionService) Get(id int64) *models.AgentRevision {
+	if id <= 0 {
+		return nil
+	}
+	return repositories.AgentRevisionRepository.Get(sqls.DB(), id)
+}
+
+func (s *agentRevisionService) FindByAgentID(agentID int64) []models.AgentRevision {
+	return repositories.AgentRevisionRepository.FindByAgentID(sqls.DB(), agentID)
+}
+
+type agentRevisionDefinition struct {
+	Agent              agentRevisionAgent `json:"agent"`
+	Model              agentRevisionModel `json:"model"`
+	WorkflowVersionID  int64              `json:"workflowVersionId"`
+	WorkflowDefinition string             `json:"workflowDefinition"`
+}
+
+// agentRevisionModel deliberately excludes APIKey. A revision must capture
+// reproducible routing/model parameters without duplicating credentials.
+type agentRevisionModel struct {
+	ConfigID         int64  `json:"configId"`
+	Provider         string `json:"provider"`
+	BaseURL          string `json:"baseUrl"`
+	ModelType        string `json:"modelType"`
+	ModelName        string `json:"modelName"`
+	MaxContextTokens int    `json:"maxContextTokens"`
+	MaxOutputTokens  int    `json:"maxOutputTokens"`
+	TimeoutMS        int    `json:"timeoutMs"`
+	MaxRetryCount    int    `json:"maxRetryCount"`
+}
+
+type agentRevisionAgent struct {
+	Name                string `json:"name"`
+	Description         string `json:"description"`
+	AIConfigID          int64  `json:"aiConfigId"`
+	RuntimeMode         string `json:"runtimeMode"`
+	MaxSteps            int    `json:"maxSteps"`
+	ContextWindow       int    `json:"contextWindow"`
+	ToolPolicy          string `json:"toolPolicy"`
+	KnowledgePolicy     string `json:"knowledgePolicy"`
+	ServiceMode         int    `json:"serviceMode"`
+	SystemPrompt        string `json:"systemPrompt"`
+	WelcomeMessage      string `json:"welcomeMessage"`
+	ReplyTimeoutSeconds int    `json:"replyTimeoutSeconds"`
+	TeamIDs             string `json:"teamIds"`
+	HandoffMode         int    `json:"handoffMode"`
+	FallbackMode        int    `json:"fallbackMode"`
+	FallbackMessage     string `json:"fallbackMessage"`
+	KnowledgeIDs        string `json:"knowledgeIds"`
+	SkillIDs            string `json:"skillIds"`
+	AllowedMCPTools     string `json:"allowedMcpTools"`
+}
+
+// AgentRevisionSnapshot is the immutable runtime configuration restored from
+// a published revision. Model credentials deliberately remain on the current
+// AIConfig so credential rotation does not require republishing every Agent.
+type AgentRevisionSnapshot struct {
+	Revision models.AgentRevision
+	Agent    models.AIAgent
+	AIConfig models.AIConfig
+}
+
+// ResolvePublishedSnapshot restores a published Agent revision for runtime
+// execution. Empty legacy definitions retain the current fields so historical
+// records created before snapshot hydration remain executable.
+func (s *agentRevisionService) ResolvePublishedSnapshot(agent models.AIAgent, config models.AIConfig) (*AgentRevisionSnapshot, error) {
+	if agent.PublishedRevisionID <= 0 {
+		return nil, errorsx.InvalidParam("autonomous agent is not published")
+	}
+	revision := repositories.AgentRevisionRepository.Get(sqls.DB(), agent.PublishedRevisionID)
+	if revision == nil || revision.AgentID != agent.ID || revision.Status != enums.StatusOk {
+		return nil, errorsx.InvalidParam("autonomous agent published revision does not exist")
+	}
+	snapshot := &AgentRevisionSnapshot{Revision: *revision, Agent: agent, AIConfig: config}
+	if strings.TrimSpace(revision.Definition) == "" {
+		return snapshot, nil
+	}
+	definition := agentRevisionDefinition{}
+	if err := json.Unmarshal([]byte(revision.Definition), &definition); err != nil {
+		return nil, errorsx.InvalidParam("autonomous agent published revision is invalid")
+	}
+	if definition.Agent.AIConfigID > 0 && definition.Agent.AIConfigID != config.ID {
+		return nil, errorsx.InvalidParam("published agent model config no longer matches")
+	}
+	applyRevisionAgentSnapshot(&snapshot.Agent, definition.Agent)
+	if definition.WorkflowVersionID > 0 {
+		snapshot.Agent.WorkflowVersionID = definition.WorkflowVersionID
+	}
+	applyRevisionModelSnapshot(&snapshot.AIConfig, definition.Model)
+	return snapshot, nil
+}
+
+func applyRevisionAgentSnapshot(agent *models.AIAgent, definition agentRevisionAgent) {
+	if agent == nil {
+		return
+	}
+	agent.Name = definition.Name
+	agent.Description = definition.Description
+	agent.AIConfigID = definition.AIConfigID
+	agent.RuntimeMode = enums.AIAgentRuntimeMode(definition.RuntimeMode)
+	agent.MaxSteps = definition.MaxSteps
+	agent.ContextWindow = definition.ContextWindow
+	agent.ToolPolicy = definition.ToolPolicy
+	agent.KnowledgePolicy = definition.KnowledgePolicy
+	agent.ServiceMode = enums.IMConversationServiceMode(definition.ServiceMode)
+	agent.SystemPrompt = definition.SystemPrompt
+	agent.WelcomeMessage = definition.WelcomeMessage
+	agent.ReplyTimeoutSeconds = definition.ReplyTimeoutSeconds
+	agent.TeamIDs = definition.TeamIDs
+	agent.HandoffMode = enums.AIAgentHandoffMode(definition.HandoffMode)
+	agent.FallbackMode = enums.AIAgentFallbackMode(definition.FallbackMode)
+	agent.FallbackMessage = definition.FallbackMessage
+	agent.KnowledgeIDs = definition.KnowledgeIDs
+	agent.SkillIDs = definition.SkillIDs
+	agent.AllowedMCPTools = definition.AllowedMCPTools
+}
+
+func applyRevisionModelSnapshot(config *models.AIConfig, definition agentRevisionModel) {
+	if config == nil || definition.ConfigID <= 0 {
+		return
+	}
+	config.Provider = enums.AIProvider(definition.Provider)
+	config.BaseURL = definition.BaseURL
+	config.ModelType = enums.AIModelType(definition.ModelType)
+	config.ModelName = definition.ModelName
+	config.MaxContextTokens = definition.MaxContextTokens
+	config.MaxOutputTokens = definition.MaxOutputTokens
+	config.TimeoutMS = definition.TimeoutMS
+	config.MaxRetryCount = definition.MaxRetryCount
+}
+
+// PublishWorkflowSnapshot keeps the Agent settings and its referenced
+// workflow definition together as an immutable, reproducible revision.
+func (s *agentRevisionService) PublishWorkflowSnapshot(db *gorm.DB, agent *models.AIAgent, version *models.AIWorkflowVersion, operator *dto.AuthPrincipal) (*models.AgentRevision, error) {
+	return s.publishSnapshot(db, agent, version, operator)
+}
+
+func (s *agentRevisionService) PublishSnapshot(db *gorm.DB, agent *models.AIAgent, operator *dto.AuthPrincipal) (*models.AgentRevision, error) {
+	return s.publishSnapshot(db, agent, nil, operator)
+}
+
+func (s *agentRevisionService) publishSnapshot(db *gorm.DB, agent *models.AIAgent, version *models.AIWorkflowVersion, operator *dto.AuthPrincipal) (*models.AgentRevision, error) {
+	model := agentRevisionModel{ConfigID: agent.AIConfigID}
+	if config := repositories.AIConfigRepository.Get(db, agent.AIConfigID); config != nil {
+		model = agentRevisionModel{
+			ConfigID: config.ID, Provider: string(config.Provider), BaseURL: config.BaseURL, ModelType: string(config.ModelType),
+			ModelName: config.ModelName, MaxContextTokens: config.MaxContextTokens, MaxOutputTokens: config.MaxOutputTokens,
+			TimeoutMS: config.TimeoutMS, MaxRetryCount: config.MaxRetryCount,
+		}
+	}
+	workflowVersionID := int64(0)
+	workflowDefinition := ""
+	if version != nil {
+		workflowVersionID = version.ID
+		workflowDefinition = version.Definition
+	}
+	definition := agentRevisionDefinition{
+		Agent: agentRevisionAgent{
+			Name: agent.Name, Description: agent.Description, AIConfigID: agent.AIConfigID,
+			RuntimeMode: string(agent.RuntimeMode), MaxSteps: agent.MaxSteps, ContextWindow: agent.ContextWindow,
+			ToolPolicy: agent.ToolPolicy, KnowledgePolicy: agent.KnowledgePolicy, ServiceMode: int(agent.ServiceMode), SystemPrompt: agent.SystemPrompt,
+			WelcomeMessage: agent.WelcomeMessage, ReplyTimeoutSeconds: agent.ReplyTimeoutSeconds, TeamIDs: agent.TeamIDs, HandoffMode: int(agent.HandoffMode),
+			FallbackMode: int(agent.FallbackMode), FallbackMessage: agent.FallbackMessage, KnowledgeIDs: agent.KnowledgeIDs,
+			SkillIDs: agent.SkillIDs, AllowedMCPTools: agent.AllowedMCPTools,
+		},
+		Model:              model,
+		WorkflowVersionID:  workflowVersionID,
+		WorkflowDefinition: workflowDefinition,
+	}
+	data, err := json.Marshal(definition)
+	if err != nil {
+		return nil, err
+	}
+	now := time.Now()
+	hash := sha256.Sum256(data)
+	item := &models.AgentRevision{
+		AgentID: agent.ID, Revision: repositories.AgentRevisionRepository.MaxRevisionByAgentID(db, agent.ID) + 1,
+		WorkflowVersionID: workflowVersionID, Status: enums.StatusOk, Definition: string(data), DefinitionHash: hex.EncodeToString(hash[:]),
+		PublishedAt: &now, PublishedByID: operator.UserID, PublishedByName: operator.Username, AuditFields: utils.BuildAuditFields(operator),
+	}
+	if err := repositories.AgentRevisionRepository.Create(db, item); err != nil {
+		return nil, err
+	}
+	return item, nil
+}

internal/services/agent_revision_service_test.go

@@ -0,0 +1,50 @@
+package services
+
+import (
+	"encoding/json"
+	"strings"
+	"testing"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/enums"
+
+	"github.com/glebarez/sqlite"
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+)
+
+func TestAgentRevisionServiceRestoresPublishedSnapshotAndKeepsAPIKey(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentRevision{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	definition := agentRevisionDefinition{
+		Agent: agentRevisionAgent{
+			Name: "published agent", AIConfigID: 8, RuntimeMode: string(enums.AIAgentRuntimeModeAutonomous),
+			MaxSteps: 5, ContextWindow: 9, SystemPrompt: "published instruction", KnowledgeIDs: "4", ReplyTimeoutSeconds: 90,
+		},
+		Model: agentRevisionModel{ConfigID: 8, Provider: string(enums.AIProviderOpenAI), BaseURL: "https://published.example/v1", ModelType: string(enums.AIModelTypeLLM), ModelName: "published-model", TimeoutMS: 12000},
+	}
+	data, err := json.Marshal(definition)
+	if err != nil {
+		t.Fatalf("marshal definition: %v", err)
+	}
+	revision := &models.AgentRevision{AgentID: 7, Revision: 1, Status: enums.StatusOk, Definition: string(data)}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	snapshot, err := AgentRevisionService.ResolvePublishedSnapshot(models.AIAgent{ID: 7, PublishedRevisionID: revision.ID, SystemPrompt: "draft instruction"}, models.AIConfig{ID: 8, APIKey: "rotated-secret", ModelName: "draft-model"})
+	if err != nil {
+		t.Fatalf("ResolvePublishedSnapshot: %v", err)
+	}
+	if snapshot.Agent.SystemPrompt != "published instruction" || snapshot.Agent.MaxSteps != 5 || snapshot.Agent.ReplyTimeoutSeconds != 90 {
+		t.Fatalf("agent snapshot not restored: %#v", snapshot.Agent)
+	}
+	if snapshot.AIConfig.ModelName != "published-model" || snapshot.AIConfig.BaseURL != "https://published.example/v1" || snapshot.AIConfig.APIKey != "rotated-secret" {
+		t.Fatalf("model snapshot not restored safely: %#v", snapshot.AIConfig)
+	}
+}

internal/services/agent_run_service.go

@@ -0,0 +1,514 @@
+package services
+
+import (
+	"regexp"
+	"slices"
+	"sort"
+	"strings"
+	"time"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/dto"
+	"agent-desk/internal/pkg/dto/request"
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/errorsx"
+	"agent-desk/internal/pkg/httpx/params"
+	"agent-desk/internal/pkg/utils"
+	"agent-desk/internal/repositories"
+
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+)
+
+var AgentRunService = newAgentRunService()
+
+func newAgentRunService() *agentRunService {
+	return &agentRunService{}
+}
+
+type agentRunService struct{}
+
+type AgentRunMetrics struct {
+	TotalRuns               int     `json:"totalRuns"`
+	CompletedRuns           int     `json:"completedRuns"`
+	FailedRuns              int     `json:"failedRuns"`
+	InterruptedRuns         int     `json:"interruptedRuns"`
+	CompletionRate          float64 `json:"completionRate"`
+	ToolCalls               int     `json:"toolCalls"`
+	ToolSuccessRate         float64 `json:"toolSuccessRate"`
+	AverageSteps            float64 `json:"averageSteps"`
+	AverageDurationMS       int64   `json:"averageDurationMs"`
+	P95DurationMS           int64   `json:"p95DurationMs"`
+	PromptTokens            int64   `json:"promptTokens"`
+	CompletionTokens        int64   `json:"completionTokens"`
+	HandoffRate             float64 `json:"handoffRate"`
+	KnowledgeFallbackRate   float64 `json:"knowledgeFallbackRate"`
+	ResumedInterrupts       int     `json:"resumedInterrupts"`
+	ResolvedInterrupts      int     `json:"resolvedInterrupts"`
+	InterruptRecoveryRate   float64 `json:"interruptRecoveryRate"`
+	ReviewedRuns            int     `json:"reviewedRuns"`
+	ResolvedRuns            int     `json:"resolvedRuns"`
+	ResolutionRate          float64 `json:"resolutionRate"`
+	UnsupportedEvidenceRuns int     `json:"unsupportedEvidenceRuns"`
+	UnsupportedEvidenceRate float64 `json:"unsupportedEvidenceRate"`
+}
+
+type AgentRunEngineComparison struct {
+	EngineCode string          `json:"engineCode"`
+	Metrics    AgentRunMetrics `json:"metrics"`
+}
+
+const maxAgentAuditPreviewChars = 4000
+
+var agentAuditSecretPattern = regexp.MustCompile(`(?i)(?:"|')?(api[_-]?key|authorization|password|secret|token|cookie)(?:"|')?\s*([:=])\s*(?:"[^"]*"|'[^']*'|[^\s,;}]+)`)
+
+func (s *agentRunService) Get(id int64) *models.AgentRun {
+	if id <= 0 {
+		return nil
+	}
+	return repositories.AgentRunRepository.Get(sqls.DB(), id)
+}
+
+func (s *agentRunService) FindPageByParams(queryParams *params.QueryParams) (list []models.AgentRun, paging *sqls.Paging) {
+	return repositories.AgentRunRepository.FindPageByParams(sqls.DB(), queryParams)
+}
+
+func (s *agentRunService) GetDetail(id int64) (*models.AgentRun, []models.AgentStep, []models.AgentToolCall) {
+	run := s.Get(id)
+	if run == nil {
+		return nil, nil, nil
+	}
+	return run,
+		repositories.AgentStepRepository.FindByAgentRunID(sqls.DB(), id),
+		repositories.AgentToolCallRepository.FindByAgentRunID(sqls.DB(), id)
+}
+
+func (s *agentRunService) GetLatestStepID(agentRunID int64) int64 {
+	step := repositories.AgentStepRepository.LastByAgentRunID(sqls.DB(), agentRunID)
+	if step == nil {
+		return 0
+	}
+	return step.ID
+}
+
+func (s *agentRunService) GetQualityFeedback(agentRunID int64) *models.AgentRunQualityFeedback {
+	return repositories.AgentRunQualityFeedbackRepository.GetByAgentRunID(sqls.DB(), agentRunID)
+}
+
+func (s *agentRunService) SaveQualityFeedback(req request.SaveAgentRunQualityFeedbackRequest, operator *dto.AuthPrincipal) error {
+	if operator == nil {
+		return errorsx.UnauthorizedI18n("error.auth.expired")
+	}
+	if req.AgentRunID <= 0 {
+		return errorsx.InvalidParam("agent run id is required")
+	}
+	if !slices.Contains(enums.AgentRunResolutionStatusValues, req.ResolutionStatus) || !slices.Contains(enums.AgentRunEvidenceStatusValues, req.EvidenceStatus) {
+		return errorsx.InvalidParam("invalid agent run quality feedback status")
+	}
+	comment := strings.TrimSpace(req.Comment)
+	if len([]rune(comment)) > 2000 {
+		return errorsx.InvalidParam("agent run quality feedback comment is too long")
+	}
+	return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		if repositories.AgentRunRepository.Get(ctx.Tx, req.AgentRunID) == nil {
+			return errorsx.InvalidParam("agent run does not exist")
+		}
+		current := repositories.AgentRunQualityFeedbackRepository.GetByAgentRunID(ctx.Tx, req.AgentRunID)
+		if current == nil {
+			return repositories.AgentRunQualityFeedbackRepository.Create(ctx.Tx, &models.AgentRunQualityFeedback{
+				AgentRunID: req.AgentRunID, ResolutionStatus: req.ResolutionStatus, EvidenceStatus: req.EvidenceStatus, Comment: comment,
+				AuditFields: utils.BuildAuditFields(operator),
+			})
+		}
+		return repositories.AgentRunQualityFeedbackRepository.Updates(ctx.Tx, current.ID, map[string]any{
+			"resolution_status": req.ResolutionStatus,
+			"evidence_status":   req.EvidenceStatus,
+			"comment":           comment,
+			"update_user_id":    operator.UserID,
+			"update_user_name":  operator.Username,
+			"updated_at":        time.Now(),
+		})
+	})
+}
+
+// GetMetrics aggregates normalized audit records in Go so SQLite and MySQL
+// use identical percentile and rate semantics.
+func (s *agentRunService) GetMetrics(aiAgentID int64) AgentRunMetrics {
+	runs := repositories.AgentRunRepository.FindRecent(sqls.DB(), aiAgentID, 5000)
+	metrics := s.aggregateMetrics(sqls.DB(), runs)
+	if len(runs) == 0 {
+		return metrics
+	}
+	conversationCount := repositories.ConversationRepository.CountByAIAgentID(sqls.DB(), aiAgentID)
+	if conversationCount > 0 {
+		metrics.HandoffRate = float64(repositories.ConversationRepository.CountHandoffByAIAgentID(sqls.DB(), aiAgentID)) / float64(conversationCount)
+	}
+	return metrics
+}
+
+// GetEngineComparisons keeps Workflow, Autonomous, and Hybrid reports based on
+// the same normalized audit and reviewed-quality records. Conversation-level
+// handoff is deliberately excluded because it cannot be attributed to one
+// Engine after a mode change.
+func (s *agentRunService) GetEngineComparisons(aiAgentID int64) []AgentRunEngineComparison {
+	runs := repositories.AgentRunRepository.FindRecent(sqls.DB(), aiAgentID, 5000)
+	groups := make(map[string][]models.AgentRun)
+	for _, run := range runs {
+		engineCode := strings.TrimSpace(run.EngineCode)
+		if engineCode == "" {
+			engineCode = "unknown"
+		}
+		groups[engineCode] = append(groups[engineCode], run)
+	}
+	engineCodes := make([]string, 0, len(groups))
+	for engineCode := range groups {
+		engineCodes = append(engineCodes, engineCode)
+	}
+	sort.Strings(engineCodes)
+	ret := make([]AgentRunEngineComparison, 0, len(engineCodes))
+	for _, engineCode := range engineCodes {
+		ret = append(ret, AgentRunEngineComparison{EngineCode: engineCode, Metrics: s.aggregateMetrics(sqls.DB(), groups[engineCode])})
+	}
+	return ret
+}
+
+func (s *agentRunService) aggregateMetrics(db *gorm.DB, runs []models.AgentRun) AgentRunMetrics {
+	metrics := AgentRunMetrics{TotalRuns: len(runs)}
+	if len(runs) == 0 {
+		return metrics
+	}
+	runIDs := make([]int64, 0, len(runs))
+	durations := make([]int64, 0, len(runs))
+	var durationTotal int64
+	for _, run := range runs {
+		runIDs = append(runIDs, run.ID)
+		switch run.Status {
+		case "completed":
+			metrics.CompletedRuns++
+		case "failed":
+			metrics.FailedRuns++
+		case "interrupted":
+			metrics.InterruptedRuns++
+		}
+		metrics.PromptTokens += int64(run.PromptTokens)
+		metrics.CompletionTokens += int64(run.CompletionTokens)
+		if run.EndedAt != nil {
+			duration := run.EndedAt.Sub(run.StartedAt).Milliseconds()
+			if duration < 0 {
+				duration = 0
+			}
+			durations = append(durations, duration)
+			durationTotal += duration
+		}
+	}
+	metrics.CompletionRate = float64(metrics.CompletedRuns) / float64(metrics.TotalRuns)
+	if len(durations) > 0 {
+		metrics.AverageDurationMS = durationTotal / int64(len(durations))
+		sort.Slice(durations, func(i, j int) bool { return durations[i] < durations[j] })
+		index := (len(durations)*95+99)/100 - 1
+		metrics.P95DurationMS = durations[index]
+	}
+	steps := repositories.AgentStepRepository.FindByAgentRunIDs(db, runIDs)
+	metrics.AverageSteps = float64(len(steps)) / float64(metrics.TotalRuns)
+	fallbackRunIDs := make(map[int64]struct{})
+	for _, step := range steps {
+		if step.StepType == "policy" && step.StepCode == "knowledge_evidence" {
+			fallbackRunIDs[step.AgentRunID] = struct{}{}
+		}
+	}
+	metrics.KnowledgeFallbackRate = float64(len(fallbackRunIDs)) / float64(metrics.TotalRuns)
+	toolCalls := repositories.AgentToolCallRepository.FindByAgentRunIDs(db, runIDs)
+	metrics.ToolCalls = len(toolCalls)
+	if len(toolCalls) > 0 {
+		completed := 0
+		for _, call := range toolCalls {
+			if call.Status == "completed" {
+				completed++
+			}
+		}
+		metrics.ToolSuccessRate = float64(completed) / float64(len(toolCalls))
+	}
+	interrupts := repositories.ConversationInterruptRepository.FindByAgentRunIDs(db, runIDs)
+	for _, interrupt := range interrupts {
+		if interrupt.ResumeCount <= 0 {
+			continue
+		}
+		metrics.ResumedInterrupts++
+		if interrupt.Status == "resolved" {
+			metrics.ResolvedInterrupts++
+		}
+	}
+	if metrics.ResumedInterrupts > 0 {
+		metrics.InterruptRecoveryRate = float64(metrics.ResolvedInterrupts) / float64(metrics.ResumedInterrupts)
+	}
+	feedbacks := repositories.AgentRunQualityFeedbackRepository.FindByAgentRunIDs(db, runIDs)
+	metrics.ReviewedRuns = len(feedbacks)
+	for _, feedback := range feedbacks {
+		if feedback.ResolutionStatus == enums.AgentRunResolutionStatusResolved {
+			metrics.ResolvedRuns++
+		}
+		if feedback.EvidenceStatus == enums.AgentRunEvidenceStatusUnsupported {
+			metrics.UnsupportedEvidenceRuns++
+		}
+	}
+	if metrics.ReviewedRuns > 0 {
+		metrics.ResolutionRate = float64(metrics.ResolvedRuns) / float64(metrics.ReviewedRuns)
+		metrics.UnsupportedEvidenceRate = float64(metrics.UnsupportedEvidenceRuns) / float64(metrics.ReviewedRuns)
+	}
+	return metrics
+}
+
+type WorkflowAgentRunInput struct {
+	WorkflowRunID     int64
+	WorkflowVersionID int64
+	ConversationID    int64
+	AIAgentID         int64
+	SourceMessageID   int64
+	Status            string
+	PromptTokens      int
+	CompletionTokens  int
+	StartedAt         time.Time
+	EndedAt           *time.Time
+	ErrorMessage      string
+	TraceData         string
+	StepInputPreview  string
+	StepOutputPreview string
+}
+
+type EngineAgentRunInput struct {
+	ConversationID    int64
+	AIAgentID         int64
+	AgentRevisionID   int64
+	SourceMessageID   int64
+	EngineCode        string
+	Status            string
+	PromptTokens      int
+	CompletionTokens  int
+	StartedAt         time.Time
+	EndedAt           *time.Time
+	ErrorMessage      string
+	TraceData         string
+	StepType          string
+	StepCode          string
+	StepInputPreview  string
+	StepOutputPreview string
+	AdditionalSteps   []EngineStepInput
+	ToolCalls         []EngineToolCallInput
+}
+
+type EngineStepInput struct {
+	StepType      string
+	StepCode      string
+	WorkflowRunID int64
+	Status        string
+	InputPreview  string
+	OutputPreview string
+	ErrorMessage  string
+}
+
+type EngineToolCallInput struct {
+	ToolCode         string
+	RiskLevel        string
+	RequireConfirm   bool
+	Status           string
+	ArgumentsPreview string
+	ResultPreview    string
+	ErrorMessage     string
+	DurationMS       int
+}
+
+// RecordHybridPlaybookResume closes or re-interrupts the Hybrid AgentRun that
+// originally selected a Playbook. The detailed WorkflowRun remains separately
+// auditable; this step preserves the parent AgentRun -> AgentStep -> WorkflowRun
+// relationship across a human confirmation pause.
+func (s *agentRunService) RecordHybridPlaybookResume(db *gorm.DB, agentRunID, workflowRunID int64, status, replyText string) error {
+	if agentRunID <= 0 {
+		return nil
+	}
+	run := repositories.AgentRunRepository.Get(db, agentRunID)
+	if run == nil || run.EngineCode != "hybrid" {
+		return nil
+	}
+	status = strings.TrimSpace(status)
+	if status == "" {
+		status = "completed"
+	}
+	now := time.Now()
+	durationMS := int(now.Sub(run.StartedAt).Milliseconds())
+	if durationMS < 0 {
+		durationMS = 0
+	}
+	if err := repositories.AgentRunRepository.Updates(db, run.ID, map[string]any{
+		"status":        status,
+		"ended_at":      &now,
+		"error_message": "",
+		"updated_at":    now,
+	}); err != nil {
+		return err
+	}
+	return repositories.AgentStepRepository.Create(db, &models.AgentStep{
+		AgentRunID: run.ID, WorkflowRunID: workflowRunID,
+		StepType: "playbook", StepCode: "playbook_resume", Status: status,
+		InputPreview:  "human confirmation resume",
+		OutputPreview: sanitizeAgentAuditPreview(replyText),
+		StartedAt:     now, EndedAt: &now, DurationMS: durationMS, CreatedAt: now,
+	})
+}
+
+// RecordEngineRun writes a non-workflow Engine audit run and its normalized
+// root step in one transaction owned by the caller.
+func (s *agentRunService) RecordEngineRun(db *gorm.DB, input EngineAgentRunInput) (int64, error) {
+	now := time.Now()
+	startedAt := input.StartedAt
+	if startedAt.IsZero() {
+		startedAt = now
+	}
+	status := strings.TrimSpace(input.Status)
+	if status == "" {
+		status = "completed"
+	}
+	run := &models.AgentRun{
+		ConversationID: input.ConversationID, AIAgentID: input.AIAgentID, AgentRevisionID: input.AgentRevisionID,
+		SourceMessageID: input.SourceMessageID, EngineCode: strings.TrimSpace(input.EngineCode), Status: status,
+		PromptTokens: input.PromptTokens, CompletionTokens: input.CompletionTokens, StartedAt: startedAt, EndedAt: input.EndedAt,
+		ErrorMessage: sanitizeAgentAuditPreview(input.ErrorMessage), TraceData: sanitizeAgentAuditPreview(input.TraceData), CreatedAt: now, UpdatedAt: now,
+	}
+	if err := repositories.AgentRunRepository.Create(db, run); err != nil {
+		return 0, err
+	}
+	durationMS := 0
+	if input.EndedAt != nil {
+		durationMS = int(input.EndedAt.Sub(startedAt).Milliseconds())
+		if durationMS < 0 {
+			durationMS = 0
+		}
+	}
+	step := &models.AgentStep{
+		AgentRunID: run.ID, StepType: strings.TrimSpace(input.StepType), StepCode: strings.TrimSpace(input.StepCode), Status: status,
+		InputPreview: sanitizeAgentAuditPreview(input.StepInputPreview), OutputPreview: sanitizeAgentAuditPreview(input.StepOutputPreview), ErrorMessage: sanitizeAgentAuditPreview(input.ErrorMessage),
+		StartedAt: startedAt, EndedAt: input.EndedAt, DurationMS: durationMS, CreatedAt: now,
+	}
+	if err := repositories.AgentStepRepository.Create(db, step); err != nil {
+		return 0, err
+	}
+	for _, extra := range input.AdditionalSteps {
+		extraStep := &models.AgentStep{
+			AgentRunID: run.ID, WorkflowRunID: extra.WorkflowRunID, StepType: strings.TrimSpace(extra.StepType), StepCode: strings.TrimSpace(extra.StepCode),
+			Status: firstNonEmptyString(extra.Status, status), InputPreview: sanitizeAgentAuditPreview(extra.InputPreview), OutputPreview: sanitizeAgentAuditPreview(extra.OutputPreview),
+			ErrorMessage: sanitizeAgentAuditPreview(extra.ErrorMessage), StartedAt: startedAt, EndedAt: input.EndedAt, DurationMS: durationMS, CreatedAt: now,
+		}
+		if err := repositories.AgentStepRepository.Create(db, extraStep); err != nil {
+			return 0, err
+		}
+	}
+	for _, call := range input.ToolCalls {
+		toolCall := &models.AgentToolCall{
+			AgentRunID: run.ID, AgentStepID: step.ID, ToolCode: strings.TrimSpace(call.ToolCode), RiskLevel: strings.TrimSpace(call.RiskLevel),
+			RequireConfirm: call.RequireConfirm, Status: firstNonEmptyString(call.Status, status), ArgumentsPreview: sanitizeAgentAuditPreview(call.ArgumentsPreview),
+			ResultPreview: sanitizeAgentAuditPreview(call.ResultPreview), ErrorMessage: sanitizeAgentAuditPreview(call.ErrorMessage), DurationMS: call.DurationMS, CreatedAt: now,
+		}
+		if err := repositories.AgentToolCallRepository.Create(db, toolCall); err != nil {
+			return 0, err
+		}
+	}
+	return run.ID, nil
+}
+
+func sanitizeAgentAuditPreview(value string) string {
+	value = strings.TrimSpace(value)
+	if value == "" {
+		return ""
+	}
+	value = agentAuditSecretPattern.ReplaceAllString(value, "$1$2***")
+	runes := []rune(value)
+	if len(runes) <= maxAgentAuditPreviewChars {
+		return value
+	}
+	return strings.TrimSpace(string(runes[:maxAgentAuditPreviewChars])) + "\n[preview truncated]"
+}
+
+func firstNonEmptyString(items ...string) string {
+	for _, item := range items {
+		if value := strings.TrimSpace(item); value != "" {
+			return value
+		}
+	}
+	return ""
+}
+
+// RecordWorkflowRun writes the Engine-independent audit record inside the
+// caller's transaction. Workflow-specific tables remain the detailed source
+// for node-level diagnosis while AgentRun becomes the cross-engine summary.
+func (s *agentRunService) RecordWorkflowRun(db *gorm.DB, input WorkflowAgentRunInput) (int64, error) {
+	now := time.Now()
+	status := strings.TrimSpace(input.Status)
+	if status == "" {
+		status = "completed"
+	}
+	startedAt := input.StartedAt
+	if startedAt.IsZero() {
+		startedAt = now
+	}
+	run := repositories.AgentRunRepository.TakeByWorkflowRunID(db, input.WorkflowRunID)
+	agentRevisionID := int64(0)
+	if revision := repositories.AgentRevisionRepository.TakeByAgentIDAndWorkflowVersionID(db, input.AIAgentID, input.WorkflowVersionID); revision != nil {
+		agentRevisionID = revision.ID
+	}
+	if run == nil {
+		run = &models.AgentRun{
+			ConversationID:   input.ConversationID,
+			AIAgentID:        input.AIAgentID,
+			AgentRevisionID:  agentRevisionID,
+			SourceMessageID:  input.SourceMessageID,
+			WorkflowRunID:    input.WorkflowRunID,
+			EngineCode:       "workflow",
+			Status:           status,
+			PromptTokens:     input.PromptTokens,
+			CompletionTokens: input.CompletionTokens,
+			StartedAt:        startedAt,
+			EndedAt:          input.EndedAt,
+			ErrorMessage:     sanitizeAgentAuditPreview(input.ErrorMessage),
+			TraceData:        sanitizeAgentAuditPreview(input.TraceData),
+			CreatedAt:        now,
+			UpdatedAt:        now,
+		}
+		if err := repositories.AgentRunRepository.Create(db, run); err != nil {
+			return 0, err
+		}
+	} else if err := repositories.AgentRunRepository.Updates(db, run.ID, map[string]any{
+		"agent_revision_id": agentRevisionID,
+		"status":            status,
+		"prompt_tokens":     input.PromptTokens,
+		"completion_tokens": input.CompletionTokens,
+		"ended_at":          input.EndedAt,
+		"error_message":     sanitizeAgentAuditPreview(input.ErrorMessage),
+		"trace_data":        sanitizeAgentAuditPreview(input.TraceData),
+		"updated_at":        now,
+	}); err != nil {
+		return 0, err
+	}
+	durationMS := 0
+	if input.EndedAt != nil {
+		durationMS = int(input.EndedAt.Sub(startedAt).Milliseconds())
+		if durationMS < 0 {
+			durationMS = 0
+		}
+	}
+	step := &models.AgentStep{
+		AgentRunID:    run.ID,
+		StepType:      "workflow",
+		StepCode:      "workflow",
+		Status:        status,
+		InputPreview:  sanitizeAgentAuditPreview(input.StepInputPreview),
+		OutputPreview: sanitizeAgentAuditPreview(input.StepOutputPreview),
+		ErrorMessage:  sanitizeAgentAuditPreview(input.ErrorMessage),
+		StartedAt:     startedAt,
+		EndedAt:       input.EndedAt,
+		DurationMS:    durationMS,
+		CreatedAt:     now,
+	}
+	if err := repositories.AgentStepRepository.Create(db, step); err != nil {
+		return 0, err
+	}
+	return run.ID, nil
+}

internal/services/agent_run_service_test.go

@@ -0,0 +1,237 @@
+package services
+
+import (
+	"strings"
+	"testing"
+	"time"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/dto"
+	"agent-desk/internal/pkg/dto/request"
+	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/httpx/params"
+	"agent-desk/internal/repositories"
+
+	"github.com/glebarez/sqlite"
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+	"gorm.io/gorm/schema"
+)
+
+func TestAgentRunServiceFindsWorkflowAuditDetail(t *testing.T) {
+	db := setupAgentRunServiceTestDB(t)
+	now := time.Now()
+	endedAt := now.Add(time.Second)
+	run := &models.AgentRun{
+		ConversationID: 11,
+		AIAgentID:      12,
+		WorkflowRunID:  13,
+		EngineCode:     "workflow",
+		Status:         "completed",
+		StartedAt:      now,
+		EndedAt:        &endedAt,
+		CreatedAt:      now,
+		UpdatedAt:      now,
+	}
+	if err := db.Create(run).Error; err != nil {
+		t.Fatalf("create agent run: %v", err)
+	}
+	if err := db.Create(&models.AgentStep{AgentRunID: run.ID, StepType: "workflow", Status: "completed", StartedAt: now, EndedAt: &endedAt, CreatedAt: now}).Error; err != nil {
+		t.Fatalf("create agent step: %v", err)
+	}
+	if err := db.Create(&models.AgentToolCall{AgentRunID: run.ID, ToolCode: "knowledge.retrieve", Status: "completed", CreatedAt: now}).Error; err != nil {
+		t.Fatalf("create tool call: %v", err)
+	}
+
+	cnd := sqls.NewCnd().Eq("conversation_id", run.ConversationID).Desc("id").Page(1, 20)
+	queryParams := &params.QueryParams{Cnd: *cnd}
+	list, paging := AgentRunService.FindPageByParams(queryParams)
+	if len(list) != 1 || paging.Total != 1 || list[0].ID != run.ID {
+		t.Fatalf("unexpected agent run page: list=%#v paging=%#v", list, paging)
+	}
+	item, steps, toolCalls := AgentRunService.GetDetail(run.ID)
+	if item == nil || len(steps) != 1 || len(toolCalls) != 1 {
+		t.Fatalf("unexpected agent run detail: run=%#v steps=%#v toolCalls=%#v", item, steps, toolCalls)
+	}
+}
+
+func TestAgentRunServiceAssociatesWorkflowRevision(t *testing.T) {
+	db := setupAgentRunServiceTestDB(t)
+	now := time.Now()
+	if err := db.Create(&models.AgentRevision{AgentID: 12, Revision: 1, WorkflowVersionID: 14}).Error; err != nil {
+		t.Fatalf("create agent revision: %v", err)
+	}
+	if _, err := AgentRunService.RecordWorkflowRun(db, WorkflowAgentRunInput{
+		WorkflowRunID: 13, WorkflowVersionID: 14, ConversationID: 11, AIAgentID: 12,
+		Status: "completed", StartedAt: now,
+	}); err != nil {
+		t.Fatalf("RecordWorkflowRun returned error: %v", err)
+	}
+	run := repositories.AgentRunRepository.TakeByWorkflowRunID(db, 13)
+	if run == nil || run.AgentRevisionID <= 0 {
+		t.Fatalf("expected AgentRun to link revision, got %#v", run)
+	}
+	if stepID := AgentRunService.GetLatestStepID(run.ID); stepID <= 0 {
+		t.Fatalf("expected normalized agent step id, got %d", stepID)
+	}
+}
+
+func TestAgentRunServiceRecordsEngineToolCall(t *testing.T) {
+	db := setupAgentRunServiceTestDB(t)
+	now := time.Now()
+	runID, err := AgentRunService.RecordEngineRun(db, EngineAgentRunInput{
+		ConversationID: 1, AIAgentID: 2, AgentRevisionID: 3, EngineCode: "autonomous", Status: "completed", StartedAt: now,
+		StepType: "model", StepCode: "chat_completion", StepInputPreview: "authorization=Bearer-secret", ToolCalls: []EngineToolCallInput{{
+			ToolCode: "knowledge/search", RiskLevel: "read", Status: "completed", ArgumentsPreview: `{"token":"abc123","query":"refund"}`, ResultPreview: "policy text",
+		}},
+	})
+	if err != nil {
+		t.Fatalf("RecordEngineRun returned error: %v", err)
+	}
+	_, steps, toolCalls := AgentRunService.GetDetail(runID)
+	if len(toolCalls) != 1 || toolCalls[0].ToolCode != "knowledge/search" || toolCalls[0].AgentStepID <= 0 {
+		t.Fatalf("unexpected tool audit: %#v", toolCalls)
+	}
+	if strings.Contains(toolCalls[0].ArgumentsPreview, "abc123") || len(steps) != 1 || strings.Contains(steps[0].InputPreview, "Bearer-secret") {
+		t.Fatalf("sensitive audit data leaked: steps=%#v calls=%#v", steps, toolCalls)
+	}
+}
+
+func TestAgentRunServiceRecordsHybridPlaybookResume(t *testing.T) {
+	db := setupAgentRunServiceTestDB(t)
+	now := time.Now().Add(-time.Minute)
+	run := &models.AgentRun{EngineCode: "hybrid", Status: "interrupted", StartedAt: now, CreatedAt: now, UpdatedAt: now}
+	if err := db.Create(run).Error; err != nil {
+		t.Fatalf("create hybrid run: %v", err)
+	}
+	if err := AgentRunService.RecordHybridPlaybookResume(db, run.ID, 33, "completed", "已完成工单登记。"); err != nil {
+		t.Fatalf("RecordHybridPlaybookResume returned error: %v", err)
+	}
+	item, steps, _ := AgentRunService.GetDetail(run.ID)
+	if item == nil || item.Status != "completed" || item.EndedAt == nil {
+		t.Fatalf("expected completed hybrid run, got %#v", item)
+	}
+	if len(steps) != 1 || steps[0].StepCode != "playbook_resume" || steps[0].WorkflowRunID != 33 || steps[0].OutputPreview != "已完成工单登记。" {
+		t.Fatalf("unexpected playbook resume step: %#v", steps)
+	}
+}
+
+func TestAgentRunServiceSavesQualityFeedbackPerRun(t *testing.T) {
+	db := setupAgentRunServiceTestDB(t)
+	now := time.Now()
+	run := &models.AgentRun{AIAgentID: 4, EngineCode: "autonomous", Status: "completed", StartedAt: now, CreatedAt: now, UpdatedAt: now}
+	if err := db.Create(run).Error; err != nil {
+		t.Fatalf("create agent run: %v", err)
+	}
+	operator := &dto.AuthPrincipal{UserID: 7, Username: "reviewer"}
+	if err := AgentRunService.SaveQualityFeedback(request.SaveAgentRunQualityFeedbackRequest{
+		AgentRunID: run.ID, ResolutionStatus: enums.AgentRunResolutionStatusResolved, EvidenceStatus: enums.AgentRunEvidenceStatusSupported, Comment: "issue resolved",
+	}, operator); err != nil {
+		t.Fatalf("save quality feedback: %v", err)
+	}
+	if err := AgentRunService.SaveQualityFeedback(request.SaveAgentRunQualityFeedbackRequest{
+		AgentRunID: run.ID, ResolutionStatus: enums.AgentRunResolutionStatusUnresolved, EvidenceStatus: enums.AgentRunEvidenceStatusUnsupported, Comment: "missing evidence",
+	}, operator); err != nil {
+		t.Fatalf("update quality feedback: %v", err)
+	}
+	feedback := AgentRunService.GetQualityFeedback(run.ID)
+	if feedback == nil || feedback.ResolutionStatus != enums.AgentRunResolutionStatusUnresolved || feedback.EvidenceStatus != enums.AgentRunEvidenceStatusUnsupported || feedback.Comment != "missing evidence" || feedback.UpdateUserName != "reviewer" {
+		t.Fatalf("unexpected quality feedback: %#v", feedback)
+	}
+}
+
+func TestAgentRunServiceAggregatesCrossEngineMetrics(t *testing.T) {
+	db := setupAgentRunServiceTestDB(t)
+	base := time.Now().Add(-time.Minute)
+	runs := []models.AgentRun{
+		{AIAgentID: 8, EngineCode: "autonomous", Status: "completed", StartedAt: base, EndedAt: timePtr(base.Add(100 * time.Millisecond)), PromptTokens: 10, CompletionTokens: 5, CreatedAt: base, UpdatedAt: base},
+		{AIAgentID: 8, EngineCode: "workflow", Status: "failed", StartedAt: base, EndedAt: timePtr(base.Add(300 * time.Millisecond)), PromptTokens: 8, CompletionTokens: 2, CreatedAt: base, UpdatedAt: base},
+		{AIAgentID: 9, EngineCode: "hybrid", Status: "completed", StartedAt: base, EndedAt: timePtr(base.Add(900 * time.Millisecond)), CreatedAt: base, UpdatedAt: base},
+	}
+	for index := range runs {
+		if err := db.Create(&runs[index]).Error; err != nil {
+			t.Fatalf("create run: %v", err)
+		}
+	}
+	if err := db.Create(&models.AgentStep{AgentRunID: runs[0].ID, Status: "completed", StartedAt: base, CreatedAt: base}).Error; err != nil {
+		t.Fatalf("create step: %v", err)
+	}
+	if err := db.Create(&models.AgentStep{AgentRunID: runs[1].ID, Status: "failed", StartedAt: base, CreatedAt: base}).Error; err != nil {
+		t.Fatalf("create step: %v", err)
+	}
+	if err := db.Create(&models.AgentToolCall{AgentRunID: runs[0].ID, Status: "completed", CreatedAt: base}).Error; err != nil {
+		t.Fatalf("create completed tool call: %v", err)
+	}
+	if err := db.Create(&models.AgentToolCall{AgentRunID: runs[1].ID, Status: "failed", CreatedAt: base}).Error; err != nil {
+		t.Fatalf("create failed tool call: %v", err)
+	}
+	if err := db.Create(&models.Conversation{AIAgentID: 8}).Error; err != nil {
+		t.Fatalf("create conversation: %v", err)
+	}
+	handoffAt := base
+	if err := db.Create(&models.Conversation{AIAgentID: 8, HandoffAt: &handoffAt}).Error; err != nil {
+		t.Fatalf("create handoff conversation: %v", err)
+	}
+	if err := db.Create(&models.ConversationInterrupt{AgentRunID: runs[0].ID, CheckPointID: "metrics-resolved", Status: "resolved", ResumeCount: 1, CreatedAt: base, UpdatedAt: base}).Error; err != nil {
+		t.Fatalf("create resolved interrupt: %v", err)
+	}
+	if err := db.Create(&models.ConversationInterrupt{AgentRunID: runs[1].ID, CheckPointID: "metrics-cancelled", Status: "cancelled", ResumeCount: 1, CreatedAt: base, UpdatedAt: base}).Error; err != nil {
+		t.Fatalf("create cancelled interrupt: %v", err)
+	}
+	if err := db.Create(&models.AgentRunQualityFeedback{AgentRunID: runs[0].ID, ResolutionStatus: enums.AgentRunResolutionStatusResolved, EvidenceStatus: enums.AgentRunEvidenceStatusSupported}).Error; err != nil {
+		t.Fatalf("create resolved feedback: %v", err)
+	}
+	if err := db.Create(&models.AgentRunQualityFeedback{AgentRunID: runs[1].ID, ResolutionStatus: enums.AgentRunResolutionStatusUnresolved, EvidenceStatus: enums.AgentRunEvidenceStatusUnsupported}).Error; err != nil {
+		t.Fatalf("create unresolved feedback: %v", err)
+	}
+	metrics := AgentRunService.GetMetrics(8)
+	if metrics.TotalRuns != 2 || metrics.CompletedRuns != 1 || metrics.FailedRuns != 1 || metrics.CompletionRate != 0.5 {
+		t.Fatalf("unexpected run metrics: %#v", metrics)
+	}
+	if metrics.AverageDurationMS != 200 || metrics.P95DurationMS != 300 || metrics.ToolCalls != 2 || metrics.ToolSuccessRate != 0.5 || metrics.AverageSteps != 1 {
+		t.Fatalf("unexpected aggregate metrics: %#v", metrics)
+	}
+	if metrics.PromptTokens != 18 || metrics.CompletionTokens != 7 {
+		t.Fatalf("unexpected token metrics: %#v", metrics)
+	}
+	if metrics.HandoffRate != 0.5 || metrics.KnowledgeFallbackRate != 0 {
+		t.Fatalf("unexpected business metrics: %#v", metrics)
+	}
+	if metrics.ResumedInterrupts != 2 || metrics.ResolvedInterrupts != 1 || metrics.InterruptRecoveryRate != 0.5 {
+		t.Fatalf("unexpected interrupt recovery metrics: %#v", metrics)
+	}
+	if metrics.ReviewedRuns != 2 || metrics.ResolvedRuns != 1 || metrics.ResolutionRate != 0.5 || metrics.UnsupportedEvidenceRuns != 1 || metrics.UnsupportedEvidenceRate != 0.5 {
+		t.Fatalf("unexpected quality metrics: %#v", metrics)
+	}
+	comparisons := AgentRunService.GetEngineComparisons(8)
+	if len(comparisons) != 2 || comparisons[0].EngineCode != "autonomous" || comparisons[1].EngineCode != "workflow" {
+		t.Fatalf("unexpected engine comparison groups: %#v", comparisons)
+	}
+	if comparisons[0].Metrics.TotalRuns != 1 || comparisons[0].Metrics.ResolutionRate != 1 || comparisons[1].Metrics.TotalRuns != 1 || comparisons[1].Metrics.UnsupportedEvidenceRate != 1 {
+		t.Fatalf("unexpected engine comparison metrics: %#v", comparisons)
+	}
+}
+
+func timePtr(value time.Time) *time.Time { return &value }
+
+func setupAgentRunServiceTestDB(t *testing.T) *gorm.DB {
+	t.Helper()
+	dbName := strings.NewReplacer("/", "_", " ", "_").Replace(t.Name())
+	db, err := gorm.Open(sqlite.Open("file:"+dbName+"?mode=memory&cache=shared"), &gorm.Config{
+		NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true},
+	})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	t.Cleanup(func() {
+		sqlDB, err := db.DB()
+		if err == nil {
+			_ = sqlDB.Close()
+		}
+	})
+	if err := db.AutoMigrate(&models.AgentRevision{}, &models.AgentRun{}, &models.AgentStep{}, &models.AgentToolCall{}, &models.AgentRunQualityFeedback{}, &models.Conversation{}, &models.ConversationInterrupt{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+	return db
+}

internal/services/agent_tool_invocation_service.go

@@ -0,0 +1,81 @@
+package services
+
+import (
+	"strings"
+	"time"
+
+	"agent-desk/internal/models"
+	"agent-desk/internal/repositories"
+
+	"github.com/mlogclub/simple/sqls"
+)
+
+const (
+	agentToolInvocationStatusRunning   = "running"
+	agentToolInvocationStatusCompleted = "completed"
+	agentToolInvocationStatusFailed    = "failed"
+)
+
+var AgentToolInvocationService = newAgentToolInvocationService()
+
+type AgentToolInvocationClaim struct {
+	Item      *models.AgentToolInvocation
+	Completed bool
+	Acquired  bool
+}
+
+type agentToolInvocationService struct{}
+
+func newAgentToolInvocationService() *agentToolInvocationService {
+	return &agentToolInvocationService{}
+}
+
+// Claim obtains the persistent idempotency boundary. A completed invocation
+// can be returned to callers; an in-flight invocation is never executed again.
+func (s *agentToolInvocationService) Claim(conversationID, aiAgentID int64, toolCode, idempotencyKey string) (*AgentToolInvocationClaim, error) {
+	toolCode = strings.TrimSpace(toolCode)
+	idempotencyKey = strings.TrimSpace(idempotencyKey)
+	if conversationID <= 0 || toolCode == "" || idempotencyKey == "" {
+		return nil, nil
+	}
+	if item := repositories.AgentToolInvocationRepository.GetByIdempotencyKey(sqls.DB(), conversationID, toolCode, idempotencyKey); item != nil {
+		if item.Status == agentToolInvocationStatusCompleted {
+			return &AgentToolInvocationClaim{Item: item, Completed: true}, nil
+		}
+		if item.Status == agentToolInvocationStatusRunning {
+			return &AgentToolInvocationClaim{Item: item}, nil
+		}
+		if err := repositories.AgentToolInvocationRepository.Updates(sqls.DB(), item.ID, map[string]any{"status": agentToolInvocationStatusRunning, "error_message": "", "updated_at": time.Now()}); err != nil {
+			return nil, err
+		}
+		item.Status, item.ErrorMessage = agentToolInvocationStatusRunning, ""
+		return &AgentToolInvocationClaim{Item: item, Acquired: true}, nil
+	}
+	item := &models.AgentToolInvocation{ConversationID: conversationID, AIAgentID: aiAgentID, ToolCode: toolCode, IdempotencyKey: idempotencyKey, Status: agentToolInvocationStatusRunning}
+	if err := repositories.AgentToolInvocationRepository.Create(sqls.DB(), item); err != nil {
+		// A concurrent caller may have created the unique invocation first.
+		if existing := repositories.AgentToolInvocationRepository.GetByIdempotencyKey(sqls.DB(), conversationID, toolCode, idempotencyKey); existing != nil {
+			return &AgentToolInvocationClaim{Item: existing, Completed: existing.Status == agentToolInvocationStatusCompleted}, nil
+		}
+		return nil, err
+	}
+	return &AgentToolInvocationClaim{Item: item, Acquired: true}, nil
+}
+
+func (s *agentToolInvocationService) Complete(item *models.AgentToolInvocation, resultData string) error {
+	if item == nil || item.ID <= 0 {
+		return nil
+	}
+	return repositories.AgentToolInvocationRepository.Updates(sqls.DB(), item.ID, map[string]any{"status": agentToolInvocationStatusCompleted, "result_data": resultData, "error_message": "", "updated_at": time.Now()})
+}
+
+func (s *agentToolInvocationService) Fail(item *models.AgentToolInvocation, cause error) error {
+	if item == nil || item.ID <= 0 {
+		return nil
+	}
+	message := ""
+	if cause != nil {
+		message = cause.Error()
+	}
+	return repositories.AgentToolInvocationRepository.Updates(sqls.DB(), item.ID, map[string]any{"status": agentToolInvocationStatusFailed, "error_message": message, "updated_at": time.Now()})
+}

internal/services/agent_tool_invocation_service_test.go

@@ -0,0 +1,65 @@
+package services
+
+import (
+	"strings"
+	"testing"
+
+	"agent-desk/internal/models"
+
+	"github.com/glebarez/sqlite"
+	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
+	"gorm.io/gorm/schema"
+)
+
+func TestAgentToolInvocationServiceReusesCompletedInvocation(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentToolInvocation{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+
+	first, err := AgentToolInvocationService.Claim(10, 20, "graph/create_ticket_with_confirmation", "message:30:node:create")
+	if err != nil || first == nil || first.Item == nil || first.Completed {
+		t.Fatalf("first claim = %#v, err=%v", first, err)
+	}
+	if err := AgentToolInvocationService.Complete(first.Item, `{"ticketId":40}`); err != nil {
+		t.Fatalf("complete invocation: %v", err)
+	}
+	second, err := AgentToolInvocationService.Claim(10, 20, "graph/create_ticket_with_confirmation", "message:30:node:create")
+	if err != nil || second == nil || !second.Completed || second.Item.ResultData != `{"ticketId":40}` {
+		t.Fatalf("second claim = %#v, err=%v", second, err)
+	}
+}
+
+func TestAgentToolInvocationServiceAllowsFailedInvocationRetry(t *testing.T) {
+	db, err := gorm.Open(sqlite.Open("file:"+strings.ReplaceAll(t.Name(), "/", "_")+"?mode=memory&cache=shared"), &gorm.Config{NamingStrategy: schema.NamingStrategy{TablePrefix: "t_", SingularTable: true}})
+	if err != nil {
+		t.Fatalf("open sqlite: %v", err)
+	}
+	if err := db.AutoMigrate(&models.AgentToolInvocation{}); err != nil {
+		t.Fatalf("auto migrate: %v", err)
+	}
+	sqls.SetDB(db)
+
+	first, err := AgentToolInvocationService.Claim(11, 21, "graph/handoff_to_human", "message:31:node:handoff")
+	if err != nil {
+		t.Fatalf("first claim: %v", err)
+	}
+	if err := AgentToolInvocationService.Fail(first.Item, errTestToolInvocation); err != nil {
+		t.Fatalf("fail invocation: %v", err)
+	}
+	second, err := AgentToolInvocationService.Claim(11, 21, "graph/handoff_to_human", "message:31:node:handoff")
+	if err != nil || second == nil || second.Completed || second.Item.Status != agentToolInvocationStatusRunning || second.Item.ErrorMessage != "" {
+		t.Fatalf("retry claim = %#v, err=%v", second, err)
+	}
+}
+
+var errTestToolInvocation = &toolInvocationTestError{}
+
+type toolInvocationTestError struct{}
+
+func (e *toolInvocationTestError) Error() string { return "tool failed" }

internal/services/ai_agent_service.go

@@ -6,6 +6,7 @@ import (
 	"strings"
 	"time"
 
+	aitooling "agent-desk/internal/ai/tooling"
 	"agent-desk/internal/models"
 	"agent-desk/internal/pkg/dto"
 	"agent-desk/internal/pkg/dto/request"
@@ -18,10 +19,13 @@ import (
 	"agent-desk/internal/pkg/httpx/params"
 
 	"github.com/mlogclub/simple/sqls"
+	"gorm.io/gorm"
 )
 
 var AIAgentService = newAIAgentService()
 
+const defaultNewAutonomousRolloutPercent = 5
+
 func newAIAgentService() *aIAgentService {
 	return &aIAgentService{}
 }
@@ -79,8 +83,11 @@ func (s *aIAgentService) CreateAIAgent(req request.CreateAIAgentRequest, operato
 		if err := repositories.AIAgentRepository.Create(ctx.Tx, item); err != nil {
 			return err
 		}
-		_, err := AIWorkflowService.createDefaultAgentWorkflow(ctx.Tx, item, operator)
-		return err
+		if item.RuntimeMode == enums.AIAgentRuntimeModeWorkflow || item.RuntimeMode == enums.AIAgentRuntimeModeHybrid {
+			_, err := AIWorkflowService.createDefaultAgentWorkflow(ctx.Tx, item, operator)
+			return err
+		}
+		return nil
 	}); err != nil {
 		return nil, err
 	}
@@ -91,31 +98,48 @@ func (s *aIAgentService) UpdateAIAgent(req request.UpdateAIAgentRequest, operato
 	if operator == nil {
 		return errorsx.UnauthorizedI18n("error.auth.expired")
 	}
-	if s.Get(req.ID) == nil {
+	current := s.Get(req.ID)
+	if current == nil {
 		return errorsx.InvalidParamI18n("error.e0002")
 	}
 	item, err := s.buildAIAgentModel(req.ID, req.CreateAIAgentRequest)
 	if err != nil {
 		return err
 	}
-	return repositories.AIAgentRepository.Updates(sqls.DB(), req.ID, map[string]any{
+	columns := map[string]any{
 		"name":                  item.Name,
 		"description":           item.Description,
 		"ai_config_id":          item.AIConfigID,
+		"runtime_mode":          item.RuntimeMode,
+		"max_steps":             item.MaxSteps,
+		"context_window":        item.ContextWindow,
+		"tool_policy":           item.ToolPolicy,
+		"knowledge_policy":      item.KnowledgePolicy,
 		"service_mode":          item.ServiceMode,
 		"system_prompt":         item.SystemPrompt,
 		"welcome_message":       item.WelcomeMessage,
 		"reply_timeout_seconds": item.ReplyTimeoutSeconds,
+		"rollout_percent":       item.RolloutPercent,
 		"team_ids":              item.TeamIDs,
 		"handoff_mode":          item.HandoffMode,
 		"fallback_mode":         item.FallbackMode,
 		"fallback_message":      item.FallbackMessage,
+		"knowledge_ids":         item.KnowledgeIDs,
 		"skill_ids":             item.SkillIDs,
 		"allowed_mcp_tools":     item.AllowedMCPTools,
 		"update_user_id":        operator.UserID,
 		"update_user_name":      operator.Username,
 		"updated_at":            time.Now(),
-	})
+	}
+	if item.RolloutPercent != current.RolloutPercent {
+		columns["previous_rollout_percent"] = current.RolloutPercent
+	}
+	if current.RuntimeMode == enums.AIAgentRuntimeModeAutonomous || current.RuntimeMode == enums.AIAgentRuntimeModeHybrid || item.RuntimeMode == enums.AIAgentRuntimeModeAutonomous || item.RuntimeMode == enums.AIAgentRuntimeModeHybrid {
+		// Draft edits must not silently change the already published autonomous or hybrid
+		// behavior. The operator must explicitly publish the new revision.
+		columns["published_revision_id"] = 0
+	}
+	return repositories.AIAgentRepository.Updates(sqls.DB(), req.ID, columns)
 }
 
 func (s *aIAgentService) DeleteAIAgent(id int64, operator *dto.AuthPrincipal) error {
@@ -134,6 +158,133 @@ func (s *aIAgentService) DeleteAIAgent(id int64, operator *dto.AuthPrincipal) er
 	})
 }
 
+// PublishAIAgent snapshots a non-workflow Agent before it can receive traffic.
+func (s *aIAgentService) PublishAIAgent(id int64, operator *dto.AuthPrincipal) (*models.AgentRevision, error) {
+	if operator == nil {
+		return nil, errorsx.UnauthorizedI18n("error.auth.expired")
+	}
+	var revision *models.AgentRevision
+	err := sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		agent := repositories.AIAgentRepository.Get(ctx.Tx, id)
+		if agent == nil || agent.Status != enums.StatusOk {
+			return errorsx.InvalidParamI18n("error.e0002")
+		}
+		if agent.RuntimeMode == enums.AIAgentRuntimeModeWorkflow || agent.RuntimeMode == enums.AIAgentRuntimeModeHybrid {
+			return errorsx.InvalidParam("workflow and hybrid agents must publish a workflow version")
+		}
+		if err := s.validatePublishableAgent(ctx.Tx, agent); err != nil {
+			return err
+		}
+		var err error
+		revision, err = AgentRevisionService.PublishSnapshot(ctx.Tx, agent, operator)
+		if err != nil {
+			return err
+		}
+		return repositories.AIAgentRepository.Updates(ctx.Tx, agent.ID, map[string]any{
+			"published_revision_id": revision.ID,
+			"update_user_id":        operator.UserID,
+			"update_user_name":      operator.Username,
+			"updated_at":            time.Now(),
+		})
+	})
+	if err != nil {
+		return nil, err
+	}
+	return revision, nil
+}
+
+func (s *aIAgentService) validatePublishableAgent(db *gorm.DB, agent *models.AIAgent) error {
+	if agent == nil || agent.AIConfigID <= 0 {
+		return errorsx.InvalidParam("ai agent model configuration is required before publishing")
+	}
+	config := repositories.AIConfigRepository.Get(db, agent.AIConfigID)
+	if config == nil || config.Status != enums.StatusOk {
+		return errorsx.InvalidParam("ai agent model configuration is unavailable")
+	}
+	if _, err := s.normalizeToolPolicy(agent.ToolPolicy); err != nil {
+		return err
+	}
+	if strings.TrimSpace(agent.AllowedMCPTools) == "" {
+		return nil
+	}
+	var directTools []request.AIAgentMCPToolRequest
+	if err := json.Unmarshal([]byte(agent.AllowedMCPTools), &directTools); err != nil {
+		return errorsx.InvalidParam("ai agent direct tools are invalid")
+	}
+	for _, item := range directTools {
+		definition, err := aitooling.DefaultRegistry.Resolve(item.ToolCode)
+		if err != nil || definition.InputSchema == nil {
+			return errorsx.InvalidParam("ai agent direct tool definition is unavailable")
+		}
+		if definition.RequireConfirmation {
+			return errorsx.InvalidParam("ai agent sensitive direct tools must be executed through a confirmed playbook")
+		}
+	}
+	return nil
+}
+
+// RollbackAIAgent switches an Agent back to a previously published immutable
+// revision. It never rewrites the historical snapshot itself.
+func (s *aIAgentService) RollbackAIAgent(id, revisionID int64, operator *dto.AuthPrincipal) error {
+	if operator == nil {
+		return errorsx.UnauthorizedI18n("error.auth.expired")
+	}
+	if id <= 0 || revisionID <= 0 {
+		return errorsx.InvalidParam("agent id and revision id are required")
+	}
+	return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		agent := repositories.AIAgentRepository.Get(ctx.Tx, id)
+		if agent == nil || agent.Status != enums.StatusOk {
+			return errorsx.InvalidParamI18n("error.e0002")
+		}
+		revision := repositories.AgentRevisionRepository.Get(ctx.Tx, revisionID)
+		if revision == nil || revision.AgentID != agent.ID || revision.Status != enums.StatusOk {
+			return errorsx.InvalidParam("agent revision does not exist")
+		}
+		updates := map[string]any{
+			"published_revision_id": revision.ID,
+			"update_user_id":        operator.UserID,
+			"update_user_name":      operator.Username,
+			"updated_at":            time.Now(),
+		}
+		if agent.RuntimeMode == enums.AIAgentRuntimeModeWorkflow || agent.RuntimeMode == enums.AIAgentRuntimeModeHybrid {
+			if revision.WorkflowVersionID <= 0 || repositories.AIWorkflowVersionRepository.Get(ctx.Tx, revision.WorkflowVersionID) == nil {
+				return errorsx.InvalidParam("workflow revision does not contain a published workflow version")
+			}
+			updates["workflow_version_id"] = revision.WorkflowVersionID
+		}
+		return repositories.AIAgentRepository.Updates(ctx.Tx, agent.ID, updates)
+	})
+}
+
+// RollbackAIAgentRollout restores the prior Agent rollout percentage and
+// swaps it into history, allowing operators to undo and redo one rollout
+// change without rewriting an immutable AgentRevision.
+func (s *aIAgentService) RollbackAIAgentRollout(id int64, operator *dto.AuthPrincipal) error {
+	if operator == nil {
+		return errorsx.UnauthorizedI18n("error.auth.expired")
+	}
+	if id <= 0 {
+		return errorsx.InvalidParam("agent id is required")
+	}
+	return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		agent := repositories.AIAgentRepository.Get(ctx.Tx, id)
+		if agent == nil || agent.Status != enums.StatusOk {
+			return errorsx.InvalidParamI18n("error.e0002")
+		}
+		if agent.PreviousRolloutPercent < 1 || agent.PreviousRolloutPercent > 100 {
+			return errorsx.InvalidParam("agent rollout has no previous value to restore")
+		}
+		return repositories.AIAgentRepository.Updates(ctx.Tx, agent.ID, map[string]any{
+			"rollout_percent":          agent.PreviousRolloutPercent,
+			"previous_rollout_percent": agent.RolloutPercent,
+			"update_user_id":           operator.UserID,
+			"update_user_name":         operator.Username,
+			"updated_at":               time.Now(),
+		})
+	})
+}
+
 func (s *aIAgentService) buildAIAgentModel(id int64, req request.CreateAIAgentRequest) (*models.AIAgent, error) {
 	name := strings.TrimSpace(req.Name)
 	if name == "" {
@@ -152,6 +303,28 @@ func (s *aIAgentService) buildAIAgentModel(id int64, req request.CreateAIAgentRe
 	if aiConfig.Status != enums.StatusOk {
 		return nil, errorsx.InvalidParamI18n("error.e0011")
 	}
+	if req.RuntimeMode == "" {
+		req.RuntimeMode = enums.AIAgentRuntimeModeAutonomous
+	}
+	if !enums.IsValidAIAgentRuntimeMode(req.RuntimeMode) {
+		return nil, errorsx.InvalidParam("invalid ai agent runtime mode")
+	}
+	if req.RuntimeMode != enums.AIAgentRuntimeModeWorkflow && req.RuntimeMode != enums.AIAgentRuntimeModeAutonomous && req.RuntimeMode != enums.AIAgentRuntimeModeHybrid {
+		return nil, errorsx.InvalidParam("ai agent runtime mode is not available yet")
+	}
+	if req.MaxSteps == 0 {
+		req.MaxSteps = 6
+	}
+	if req.MaxSteps < 1 || req.MaxSteps > 8 {
+		return nil, errorsx.InvalidParam("ai agent max steps must be between 1 and 8")
+	}
+	if req.ContextWindow < 0 {
+		return nil, errorsx.InvalidParam("ai agent context window must not be negative")
+	}
+	toolPolicy, err := s.normalizeToolPolicy(req.ToolPolicy)
+	if err != nil {
+		return nil, err
+	}
 	if !slices.Contains(enums.IMConversationServiceModeValues, req.ServiceMode) {
 		return nil, errorsx.InvalidParamI18n("error.e0230")
 	}
@@ -175,11 +348,25 @@ func (s *aIAgentService) buildAIAgentModel(id int64, req request.CreateAIAgentRe
 	if req.ReplyTimeoutSeconds < 0 {
 		return nil, errorsx.InvalidParamI18n("error.e0144")
 	}
+	if req.RolloutPercent == 0 {
+		if req.RuntimeMode == enums.AIAgentRuntimeModeAutonomous || req.RuntimeMode == enums.AIAgentRuntimeModeHybrid {
+			req.RolloutPercent = defaultNewAutonomousRolloutPercent
+		} else {
+			req.RolloutPercent = 100
+		}
+	}
+	if req.RolloutPercent < 1 || req.RolloutPercent > 100 {
+		return nil, errorsx.InvalidParam("ai agent rollout percent must be between 1 and 100")
+	}
 
 	skillIDs, err := s.normalizeSkillIDs(req.SkillIDs)
 	if err != nil {
 		return nil, err
 	}
+	knowledgeBaseIDs, err := s.normalizeKnowledgeBaseIDs(req.KnowledgeBaseIDs)
+	if err != nil {
+		return nil, err
+	}
 	directTools, err := s.normalizeDirectTools(req.DirectTools)
 	if err != nil {
 		return nil, err
@@ -196,20 +383,93 @@ func (s *aIAgentService) buildAIAgentModel(id int64, req request.CreateAIAgentRe
 		Name:                name,
 		Description:         strings.TrimSpace(req.Description),
 		AIConfigID:          req.AIConfigID,
+		RuntimeMode:         req.RuntimeMode,
+		MaxSteps:            req.MaxSteps,
+		ContextWindow:       req.ContextWindow,
+		ToolPolicy:          toolPolicy,
+		KnowledgePolicy:     strings.TrimSpace(req.KnowledgePolicy),
 		ServiceMode:         req.ServiceMode,
 		SystemPrompt:        strings.TrimSpace(req.SystemPrompt),
 		WelcomeMessage:      strings.TrimSpace(req.WelcomeMessage),
 		ReplyTimeoutSeconds: req.ReplyTimeoutSeconds,
+		RolloutPercent:      req.RolloutPercent,
 		TeamIDs:             utils.JoinInt64s(teamIDs),
 		HandoffMode:         req.HandoffMode,
 		FallbackMode:        req.FallbackMode,
 		FallbackMessage:     strings.TrimSpace(req.FallbackMessage),
+		KnowledgeIDs:        utils.JoinInt64s(knowledgeBaseIDs),
 		SkillIDs:            utils.JoinInt64s(skillIDs),
 		AllowedMCPTools:     directToolsJSON,
 		WorkflowVersionID:   0,
 	}, nil
 }
 
+type normalizedAIAgentToolPolicy struct {
+	MaxTotalCalls     int      `json:"maxTotalCalls,omitempty"`
+	MaxArgumentBytes  int      `json:"maxArgumentBytes,omitempty"`
+	AllowedRiskLevels []string `json:"allowedRiskLevels,omitempty"`
+}
+
+func (s *aIAgentService) normalizeToolPolicy(raw string) (string, error) {
+	raw = strings.TrimSpace(raw)
+	if raw == "" {
+		return "", nil
+	}
+	policy := normalizedAIAgentToolPolicy{}
+	if err := json.Unmarshal([]byte(raw), &policy); err != nil {
+		return "", errorsx.InvalidParam("ai agent tool policy must be valid JSON")
+	}
+	if policy.MaxTotalCalls < 0 || policy.MaxTotalCalls > 8 {
+		return "", errorsx.InvalidParam("ai agent tool policy maxTotalCalls must be between 1 and 8")
+	}
+	if policy.MaxArgumentBytes < 0 || policy.MaxArgumentBytes > 64*1024 {
+		return "", errorsx.InvalidParam("ai agent tool policy maxArgumentBytes must be between 1 and 65536")
+	}
+	seen := make(map[string]struct{}, len(policy.AllowedRiskLevels))
+	riskLevels := make([]string, 0, len(policy.AllowedRiskLevels))
+	for _, level := range policy.AllowedRiskLevels {
+		level = strings.ToLower(strings.TrimSpace(level))
+		if level == "" {
+			continue
+		}
+		if level != "read" && level != "write" && level != "sensitive" {
+			return "", errorsx.InvalidParam("ai agent tool policy contains an invalid risk level")
+		}
+		if _, exists := seen[level]; exists {
+			continue
+		}
+		seen[level] = struct{}{}
+		riskLevels = append(riskLevels, level)
+	}
+	policy.AllowedRiskLevels = riskLevels
+	data, err := json.Marshal(policy)
+	if err != nil {
+		return "", errorsx.InvalidParam("ai agent tool policy is invalid")
+	}
+	return string(data), nil
+}
+
+func (s *aIAgentService) normalizeKnowledgeBaseIDs(input []int64) ([]int64, error) {
+	ret := make([]int64, 0, len(input))
+	seen := make(map[int64]struct{})
+	for _, id := range input {
+		if id <= 0 {
+			continue
+		}
+		if _, exists := seen[id]; exists {
+			continue
+		}
+		knowledgeBase := KnowledgeBaseService.Get(id)
+		if knowledgeBase == nil || knowledgeBase.Status != enums.StatusOk {
+			return nil, errorsx.InvalidParam("knowledge base is not available")
+		}
+		seen[id] = struct{}{}
+		ret = append(ret, id)
+	}
+	slices.Sort(ret)
+	return ret, nil
+}
+
 func (s *aIAgentService) normalizeTeamIDs(input []int64) ([]int64, error) {
 	ret := make([]int64, 0, len(input))
 	seen := make(map[int64]struct{})
@@ -271,11 +531,17 @@ func (s *aIAgentService) normalizeDirectTools(input []request.AIAgentMCPToolRequ
 		if toolx.IsAutoInjectedToolCode(strings.TrimSpace(normalized.ToolCode)) {
 			continue
 		}
-		if toolx.ResolveToolSourceType(normalized.ToolCode) != enums.ToolSourceTypeMCP {
-			return nil, errorsx.InvalidParamI18n("error.e0020")
-		}
-		if err := ToolCatalogService.ValidateToolCode(normalized.ToolCode); err != nil {
-			return nil, err
+		if spec, registered := toolx.GetRegisteredToolSpec(normalized.ToolCode); registered {
+			if !spec.DirectAccess || spec.AutoInjected || (spec.Code != toolx.BuiltinConversationContext.Code && spec.Code != toolx.BuiltinKnowledgeRetrieve.Code && spec.Code != toolx.GraphTriageServiceRequest.Code && spec.Code != toolx.GraphAnalyzeConversation.Code && spec.Code != toolx.GraphPrepareTicketDraft.Code) {
+				return nil, errorsx.InvalidParamI18n("error.e0020")
+			}
+		} else {
+			if toolx.ResolveToolSourceType(normalized.ToolCode) != enums.ToolSourceTypeMCP {
+				return nil, errorsx.InvalidParamI18n("error.e0020")
+			}
+			if err := ToolCatalogService.ValidateToolCode(normalized.ToolCode); err != nil {
+				return nil, err
+			}
 		}
 		key := strings.TrimSpace(normalized.ToolCode)
 		if _, exists := seen[key]; exists {

internal/services/ai_agent_workflow_service_test.go

@@ -12,13 +12,14 @@ import (
 	"agent-desk/internal/pkg/dto"
 	"agent-desk/internal/pkg/dto/request"
 	"agent-desk/internal/pkg/enums"
+	"agent-desk/internal/pkg/toolx"
 
 	"github.com/glebarez/sqlite"
 	"github.com/mlogclub/simple/sqls"
 	"gorm.io/gorm"
 )
 
-func TestAIAgentServiceCreatesDefaultWorkflow(t *testing.T) {
+func TestAIAgentServiceCreatesWorkflowOnlyWhenRequested(t *testing.T) {
 	setupAIAgentWorkflowTestDB(t)
 	operator := aiAgentWorkflowTestOperator()
 	aiConfigID := createAIAgentWorkflowTestConfig(t)
@@ -26,6 +27,7 @@ func TestAIAgentServiceCreatesDefaultWorkflow(t *testing.T) {
 	item, err := AIAgentService.CreateAIAgent(request.CreateAIAgentRequest{
 		Name:         "workflow agent",
 		AIConfigID:   aiConfigID,
+		RuntimeMode:  enums.AIAgentRuntimeModeWorkflow,
 		ServiceMode:  enums.IMConversationServiceModeAIOnly,
 		HandoffMode:  enums.AIAgentHandoffModeWaitPool,
 		FallbackMode: enums.AIAgentFallbackModeNoAnswer,
@@ -33,6 +35,15 @@ func TestAIAgentServiceCreatesDefaultWorkflow(t *testing.T) {
 	if err != nil {
 		t.Fatalf("CreateAIAgent() error = %v", err)
 	}
+	if item.RuntimeMode != enums.AIAgentRuntimeModeWorkflow {
+		t.Fatalf("default runtime mode = %q, want %q", item.RuntimeMode, enums.AIAgentRuntimeModeWorkflow)
+	}
+	if item.MaxSteps != 6 {
+		t.Fatalf("default max steps = %d, want 6", item.MaxSteps)
+	}
+	if item.RolloutPercent != 100 {
+		t.Fatalf("workflow rollout default = %d, want 100", item.RolloutPercent)
+	}
 
 	workflow, err := AIWorkflowService.GetOrCreateAgentWorkflow(item.ID, operator)
 	if err != nil {
@@ -81,10 +92,12 @@ func TestAIAgentServiceCreatesDefaultWorkflow(t *testing.T) {
 		}
 	}
 	assertConditionBranchToNodeType(t, stored, "policy_route_1", workflowregistry.NodeTypeSendReply, "eq", "direct_reply")
-	assertConditionBranchToNodeType(t, stored, "policy_route_1", workflowregistry.NodeTypeHandoffToHuman, "eq", "handoff_to_human")
+	assertConditionBranchToNodeID(t, stored, "policy_route_1", "handoff_confirm_prompt_1", "eq", "handoff_to_human")
 	assertConditionBranchToNodeType(t, stored, "policy_route_1", workflowregistry.NodeTypePrepareTicketDraft, "eq", "prepare_ticket")
 	assertConditionBranchToNodeID(t, stored, "ticket_draft_route_1", "ticket_confirm_prompt_1", "is_true", nil)
 	assertDefaultBranchToNodeID(t, stored, "ticket_draft_route_1", "ticket_followup_reply_1")
+	assertConditionBranchToNodeID(t, stored, "handoff_confirm_route_1", "handoff_1", "is_true", nil)
+	assertDefaultBranchToNodeID(t, stored, "handoff_confirm_route_1", "handoff_cancel_reply_1")
 	assertConditionBranchToNodeID(t, stored, "answerability_route_1", "reply_1", "eq", "answerable")
 	assertDefaultBranchToNodeID(t, stored, "answerability_route_1", "fallback_reply_1")
 	if !workflowEdgeExists(stored, "create_ticket_1", "ticket_result_reply_1") {
@@ -93,6 +106,7 @@ func TestAIAgentServiceCreatesDefaultWorkflow(t *testing.T) {
 	assertConditionBranchesHavePortEdges(t, stored, "policy_route_1")
 	assertConditionBranchesHavePortEdges(t, stored, "ticket_draft_route_1")
 	assertConditionBranchesHavePortEdges(t, stored, "ticket_confirm_route_1")
+	assertConditionBranchesHavePortEdges(t, stored, "handoff_confirm_route_1")
 	assertConditionBranchesHavePortEdges(t, stored, "answerability_route_1")
 	assertConditionBranchOrder(t, stored, "policy_route_1", []string{
 		"handoff",
@@ -114,6 +128,230 @@ func TestAIAgentServiceCreatesDefaultWorkflow(t *testing.T) {
 	})
 }
 
+func TestAIAgentServiceDefaultsNewAutonomousAgentToSmallRollout(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	item, err := AIAgentService.CreateAIAgent(request.CreateAIAgentRequest{
+		Name: "small-rollout autonomous agent", AIConfigID: createAIAgentWorkflowTestConfig(t), RuntimeMode: enums.AIAgentRuntimeModeAutonomous,
+		ServiceMode: enums.IMConversationServiceModeAIOnly, HandoffMode: enums.AIAgentHandoffModeWaitPool, FallbackMode: enums.AIAgentFallbackModeNoAnswer,
+	}, aiAgentWorkflowTestOperator())
+	if err != nil {
+		t.Fatalf("CreateAIAgent: %v", err)
+	}
+	if item.RolloutPercent != defaultNewAutonomousRolloutPercent {
+		t.Fatalf("autonomous rollout default = %d, want %d", item.RolloutPercent, defaultNewAutonomousRolloutPercent)
+	}
+}
+
+func TestAIAgentServiceDefaultsToAutonomousWithoutWorkflow(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	operator := aiAgentWorkflowTestOperator()
+	item, err := AIAgentService.CreateAIAgent(request.CreateAIAgentRequest{
+		Name: "default autonomous agent", AIConfigID: createAIAgentWorkflowTestConfig(t),
+		ServiceMode: enums.IMConversationServiceModeAIOnly, HandoffMode: enums.AIAgentHandoffModeWaitPool, FallbackMode: enums.AIAgentFallbackModeNoAnswer,
+	}, operator)
+	if err != nil {
+		t.Fatalf("CreateAIAgent() error = %v", err)
+	}
+	if item.RuntimeMode != enums.AIAgentRuntimeModeAutonomous {
+		t.Fatalf("default runtime mode = %q, want %q", item.RuntimeMode, enums.AIAgentRuntimeModeAutonomous)
+	}
+	var workflowCount int64
+	if err := sqls.DB().Model(&models.AIWorkflow{}).Where("agent_id = ?", item.ID).Count(&workflowCount).Error; err != nil {
+		t.Fatalf("count workflows: %v", err)
+	}
+	if workflowCount != 0 {
+		t.Fatalf("default autonomous agent created %d workflows", workflowCount)
+	}
+}
+
+func TestAIAgentServiceCreatesWorkflowDraftForHybrid(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	item, err := AIAgentService.CreateAIAgent(request.CreateAIAgentRequest{
+		Name: "hybrid agent", AIConfigID: createAIAgentWorkflowTestConfig(t), RuntimeMode: enums.AIAgentRuntimeModeHybrid,
+		ServiceMode: enums.IMConversationServiceModeAIOnly, HandoffMode: enums.AIAgentHandoffModeWaitPool, FallbackMode: enums.AIAgentFallbackModeNoAnswer,
+	}, aiAgentWorkflowTestOperator())
+	if err != nil {
+		t.Fatalf("CreateAIAgent() error = %v", err)
+	}
+	var workflowCount int64
+	if err := sqls.DB().Model(&models.AIWorkflow{}).Where("agent_id = ?", item.ID).Count(&workflowCount).Error; err != nil {
+		t.Fatalf("count workflows: %v", err)
+	}
+	if workflowCount != 1 {
+		t.Fatalf("hybrid agent created %d workflows, want 1", workflowCount)
+	}
+}
+
+func TestAIAgentServiceNormalizesToolPolicy(t *testing.T) {
+	policy, err := AIAgentService.normalizeToolPolicy(`{"maxTotalCalls":2,"maxArgumentBytes":1024,"allowedRiskLevels":["READ","read","sensitive"]}`)
+	if err != nil {
+		t.Fatalf("normalizeToolPolicy: %v", err)
+	}
+	if !strings.Contains(policy, `"maxTotalCalls":2`) || !strings.Contains(policy, `"allowedRiskLevels":["read","sensitive"]`) {
+		t.Fatalf("unexpected normalized policy: %s", policy)
+	}
+	if _, err := AIAgentService.normalizeToolPolicy(`{"allowedRiskLevels":["admin"]}`); err == nil {
+		t.Fatal("expected invalid risk level error")
+	}
+	if _, err := AIAgentService.normalizeToolPolicy(`not-json`); err == nil {
+		t.Fatal("expected invalid JSON error")
+	}
+}
+
+func TestAIAgentServiceAllowsRegisteredReadDirectTool(t *testing.T) {
+	tools, err := AIAgentService.normalizeDirectTools([]request.AIAgentMCPToolRequest{{ToolCode: toolx.BuiltinConversationContext.Code}})
+	if err != nil {
+		t.Fatalf("normalizeDirectTools: %v", err)
+	}
+	if len(tools) != 1 || tools[0].ToolCode != toolx.BuiltinConversationContext.Code {
+		t.Fatalf("unexpected normalized direct tools: %#v", tools)
+	}
+	tools, err = AIAgentService.normalizeDirectTools([]request.AIAgentMCPToolRequest{{ToolCode: toolx.BuiltinKnowledgeRetrieve.Code}})
+	if err != nil || len(tools) != 1 || tools[0].ToolCode != toolx.BuiltinKnowledgeRetrieve.Code {
+		t.Fatalf("expected registered knowledge retrieve tool to be allowed, tools=%#v err=%v", tools, err)
+	}
+	tools, err = AIAgentService.normalizeDirectTools([]request.AIAgentMCPToolRequest{{ToolCode: toolx.GraphPrepareTicketDraft.Code}})
+	if err != nil || len(tools) != 1 || tools[0].ToolCode != toolx.GraphPrepareTicketDraft.Code {
+		t.Fatalf("expected registered ticket draft tool to be allowed, tools=%#v err=%v", tools, err)
+	}
+	tools, err = AIAgentService.normalizeDirectTools([]request.AIAgentMCPToolRequest{{ToolCode: toolx.GraphAnalyzeConversation.Code}})
+	if err != nil || len(tools) != 1 || tools[0].ToolCode != toolx.GraphAnalyzeConversation.Code {
+		t.Fatalf("expected registered conversation analysis tool to be allowed, tools=%#v err=%v", tools, err)
+	}
+	tools, err = AIAgentService.normalizeDirectTools([]request.AIAgentMCPToolRequest{{ToolCode: toolx.GraphTriageServiceRequest.Code}})
+	if err != nil || len(tools) != 1 || tools[0].ToolCode != toolx.GraphTriageServiceRequest.Code {
+		t.Fatalf("expected registered service triage tool to be allowed, tools=%#v err=%v", tools, err)
+	}
+	if _, err := AIAgentService.normalizeDirectTools([]request.AIAgentMCPToolRequest{{ToolCode: toolx.GraphHandoffConversation.Code}}); err == nil {
+		t.Fatal("expected unsupported graph direct tool to be rejected")
+	}
+}
+
+func TestAIAgentServiceRollsBackToOwnPublishedRevision(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	db := sqls.DB()
+	agent := &models.AIAgent{Name: "rollback-agent", Status: enums.StatusOk, RuntimeMode: enums.AIAgentRuntimeModeAutonomous}
+	if err := db.Create(agent).Error; err != nil {
+		t.Fatalf("create agent: %v", err)
+	}
+	revision := &models.AgentRevision{AgentID: agent.ID, Revision: 1, Status: enums.StatusOk}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create revision: %v", err)
+	}
+	if err := AIAgentService.RollbackAIAgent(agent.ID, revision.ID, aiAgentWorkflowTestOperator()); err != nil {
+		t.Fatalf("RollbackAIAgent: %v", err)
+	}
+	if updated := AIAgentService.Get(agent.ID); updated == nil || updated.PublishedRevisionID != revision.ID {
+		t.Fatalf("rollback did not bind revision: %#v", updated)
+	}
+	otherRevision := &models.AgentRevision{AgentID: agent.ID + 1, Revision: 1, Status: enums.StatusOk}
+	if err := db.Create(otherRevision).Error; err != nil {
+		t.Fatalf("create other revision: %v", err)
+	}
+	if err := AIAgentService.RollbackAIAgent(agent.ID, otherRevision.ID, aiAgentWorkflowTestOperator()); err == nil {
+		t.Fatal("expected cross-agent revision rollback rejection")
+	}
+}
+
+func TestAIAgentServiceRollsBackPreviousRolloutPercent(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	agent := &models.AIAgent{
+		Name:                   "rollout-agent",
+		Status:                 enums.StatusOk,
+		RuntimeMode:            enums.AIAgentRuntimeModeAutonomous,
+		RolloutPercent:         20,
+		PreviousRolloutPercent: 100,
+	}
+	if err := sqls.DB().Create(agent).Error; err != nil {
+		t.Fatalf("create agent: %v", err)
+	}
+	operator := aiAgentWorkflowTestOperator()
+	if err := AIAgentService.RollbackAIAgentRollout(agent.ID, operator); err != nil {
+		t.Fatalf("RollbackAIAgentRollout: %v", err)
+	}
+	updated := AIAgentService.Get(agent.ID)
+	if updated == nil || updated.RolloutPercent != 100 || updated.PreviousRolloutPercent != 20 {
+		t.Fatalf("unexpected rollout rollback result: %#v", updated)
+	}
+	if err := AIAgentService.RollbackAIAgentRollout(agent.ID, operator); err != nil {
+		t.Fatalf("second RollbackAIAgentRollout: %v", err)
+	}
+	updated = AIAgentService.Get(agent.ID)
+	if updated == nil || updated.RolloutPercent != 20 || updated.PreviousRolloutPercent != 100 {
+		t.Fatalf("unexpected rollout redo result: %#v", updated)
+	}
+	if err := sqls.DB().Model(&models.AIAgent{}).Where("id = ?", agent.ID).Update("previous_rollout_percent", 0).Error; err != nil {
+		t.Fatalf("clear previous rollout: %v", err)
+	}
+	if err := AIAgentService.RollbackAIAgentRollout(agent.ID, operator); err == nil {
+		t.Fatal("expected missing previous rollout to be rejected")
+	}
+}
+
+func TestAIAgentServiceUpdateUnpublishesAutonomousAgent(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	operator := aiAgentWorkflowTestOperator()
+	agent, err := AIAgentService.CreateAIAgent(request.CreateAIAgentRequest{
+		Name: "autonomous agent", AIConfigID: createAIAgentWorkflowTestConfig(t), RuntimeMode: enums.AIAgentRuntimeModeAutonomous,
+		ServiceMode: enums.IMConversationServiceModeAIOnly, HandoffMode: enums.AIAgentHandoffModeWaitPool, FallbackMode: enums.AIAgentFallbackModeNoAnswer,
+	}, operator)
+	if err != nil {
+		t.Fatalf("CreateAIAgent() error = %v", err)
+	}
+	if _, err := AIAgentService.PublishAIAgent(agent.ID, operator); err != nil {
+		t.Fatalf("PublishAIAgent() error = %v", err)
+	}
+	if published := AIAgentService.Get(agent.ID); published == nil || published.PublishedRevisionID <= 0 {
+		t.Fatalf("expected published autonomous agent, got %#v", published)
+	}
+	if err := AIAgentService.UpdateAIAgent(request.UpdateAIAgentRequest{ID: agent.ID, CreateAIAgentRequest: request.CreateAIAgentRequest{
+		Name: agent.Name, Description: "changed draft", AIConfigID: agent.AIConfigID, RuntimeMode: enums.AIAgentRuntimeModeAutonomous,
+		ServiceMode: enums.IMConversationServiceModeAIOnly, HandoffMode: enums.AIAgentHandoffModeWaitPool, FallbackMode: enums.AIAgentFallbackModeNoAnswer,
+	}}, operator); err != nil {
+		t.Fatalf("UpdateAIAgent() error = %v", err)
+	}
+	if updated := AIAgentService.Get(agent.ID); updated == nil || updated.PublishedRevisionID != 0 {
+		t.Fatalf("expected autonomous update to clear published revision, got %#v", updated)
+	}
+}
+
+func TestAIAgentServiceRejectsPublishWithUnavailableModelConfig(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	operator := aiAgentWorkflowTestOperator()
+	configID := createAIAgentWorkflowTestConfig(t)
+	agent, err := AIAgentService.CreateAIAgent(request.CreateAIAgentRequest{
+		Name: "unavailable model agent", AIConfigID: configID, RuntimeMode: enums.AIAgentRuntimeModeAutonomous,
+		ServiceMode: enums.IMConversationServiceModeAIOnly, HandoffMode: enums.AIAgentHandoffModeWaitPool, FallbackMode: enums.AIAgentFallbackModeNoAnswer,
+	}, operator)
+	if err != nil {
+		t.Fatalf("CreateAIAgent() error = %v", err)
+	}
+	if err := sqls.DB().Model(&models.AIConfig{}).Where("id = ?", configID).Update("status", enums.StatusDisabled).Error; err != nil {
+		t.Fatalf("disable model config: %v", err)
+	}
+	if _, err := AIAgentService.PublishAIAgent(agent.ID, operator); err == nil {
+		t.Fatal("expected unavailable model config to reject publishing")
+	}
+}
+
+func TestAIAgentServiceRejectsPublishWithSensitiveDirectTool(t *testing.T) {
+	setupAIAgentWorkflowTestDB(t)
+	operator := aiAgentWorkflowTestOperator()
+	agent, err := AIAgentService.CreateAIAgent(request.CreateAIAgentRequest{
+		Name: "sensitive tool agent", AIConfigID: createAIAgentWorkflowTestConfig(t), RuntimeMode: enums.AIAgentRuntimeModeAutonomous,
+		ServiceMode: enums.IMConversationServiceModeAIOnly, HandoffMode: enums.AIAgentHandoffModeWaitPool, FallbackMode: enums.AIAgentFallbackModeNoAnswer,
+	}, operator)
+	if err != nil {
+		t.Fatalf("CreateAIAgent() error = %v", err)
+	}
+	if err := sqls.DB().Model(&models.AIAgent{}).Where("id = ?", agent.ID).Update("allowed_mcp_tools", `[{"toolCode":"mcp/demo/write_order"}]`).Error; err != nil {
+		t.Fatalf("set direct tool: %v", err)
+	}
+	if _, err := AIAgentService.PublishAIAgent(agent.ID, operator); err == nil || !strings.Contains(err.Error(), "confirmed playbook") {
+		t.Fatalf("expected sensitive direct tool publish rejection, got %v", err)
+	}
+}
+
 func TestAIWorkflowServiceDefaultAgentWorkflowDefinitionRequiresKnowledgeRetrieveConfiguration(t *testing.T) {
 	definition := AIWorkflowService.DefaultAgentWorkflowDefinition()
 	if definition.SchemaVersion != dsl.SchemaVersion || nodeTypeByID(definition, "start_1") != workflowregistry.NodeTypeStart {
@@ -135,6 +373,13 @@ func TestAIWorkflowServiceDefaultAgentWorkflowDefinitionRequiresKnowledgeRetriev
 	if !workflowHasNodeType(definition, workflowregistry.NodeTypeCreateTicket) {
 		t.Fatalf("expected default workflow to include ticket creation node")
 	}
+	if nodeTypeByID(definition, "handoff_confirm_1") != workflowregistry.NodeTypeHumanConfirm {
+		t.Fatalf("expected default workflow handoff path to include human confirmation")
+	}
+	handoff := workflowNodeByID(t, definition, "handoff_1")
+	if nodeID, field, ok := handoff.Data.InputsValues["confirmed"].Ref(); !ok || nodeID != "handoff_confirm_1" || field != "confirmed" {
+		t.Fatalf("expected handoff to use confirmation result, got %#v", handoff.Data.InputsValues["confirmed"])
+	}
 }
 
 func TestAIWorkflowServiceDefaultAgentWorkflowTicketPromptIncludesDraftFields(t *testing.T) {
@@ -203,6 +448,19 @@ func TestAIWorkflowServicePublishAgentWorkflowBindsAgentVersion(t *testing.T) {
 	if storedAgent.WorkflowVersionID != version.ID {
 		t.Fatalf("expected agent workflow version %d, got %d", version.ID, storedAgent.WorkflowVersionID)
 	}
+	if storedAgent.PublishedRevisionID <= 0 {
+		t.Fatalf("expected published agent revision id, got %d", storedAgent.PublishedRevisionID)
+	}
+	var revision models.AgentRevision
+	if err := sqls.DB().First(&revision, storedAgent.PublishedRevisionID).Error; err != nil {
+		t.Fatalf("load agent revision: %v", err)
+	}
+	if revision.AgentID != agent.ID || revision.WorkflowVersionID != version.ID || revision.Revision != 1 || revision.DefinitionHash == "" {
+		t.Fatalf("unexpected published agent revision: %#v", revision)
+	}
+	if !strings.Contains(revision.Definition, `"modelName":"gpt-test"`) || strings.Contains(revision.Definition, "revision-test-secret") {
+		t.Fatalf("unexpected revision definition: %s", revision.Definition)
+	}
 }
 
 func setupAIAgentWorkflowTestDB(t *testing.T) {
@@ -211,7 +469,7 @@ func setupAIAgentWorkflowTestDB(t *testing.T) {
 	if err != nil {
 		t.Fatalf("open sqlite db: %v", err)
 	}
-	if err := db.AutoMigrate(&models.AIAgent{}, &models.AIConfig{}, &models.KnowledgeBase{}, &models.AIWorkflow{}, &models.AIWorkflowVersion{}); err != nil {
+	if err := db.AutoMigrate(&models.AIAgent{}, &models.AIConfig{}, &models.KnowledgeBase{}, &models.AIWorkflow{}, &models.AIWorkflowVersion{}, &models.AgentRevision{}); err != nil {
 		t.Fatalf("auto migrate: %v", err)
 	}
 	sqls.SetDB(db)
@@ -222,6 +480,7 @@ func createAIAgentWorkflowTestConfig(t *testing.T) int64 {
 	item := &models.AIConfig{
 		Name:      "workflow-test-config",
 		Provider:  enums.AIProviderOpenAI,
+		APIKey:    "revision-test-secret",
 		ModelType: enums.AIModelTypeLLM,
 		ModelName: "gpt-test",
 		Status:    enums.StatusOk,

internal/services/ai_workflow_service.go

@@ -42,6 +42,13 @@ type AIWorkflowRunAuditItem struct {
 	Agent    *models.AIAgent
 }
 
+type AIWorkflowTemplate struct {
+	Code        string
+	Name        string
+	Description string
+	Definition  dsl.Definition
+}
+
 func (s *aiWorkflowService) Get(id int64) *models.AIWorkflow {
 	if id <= 0 {
 		return nil
@@ -194,6 +201,46 @@ func (s *aiWorkflowService) DefaultAgentWorkflowDefinition() dsl.Definition {
 	return defaultAgentWorkflowDefinition()
 }
 
+func (s *aiWorkflowService) ListPlaybookTemplates() []AIWorkflowTemplate {
+	return []AIWorkflowTemplate{
+		{Code: "ticket-with-confirmation", Name: "创建工单", Description: "整理工单草稿，经客户确认后创建工单。", Definition: ticketWithConfirmationPlaybookDefinition()},
+		{Code: "identity-confirmation", Name: "身份确认", Description: "在执行后续业务前收集客户的明确确认。", Definition: identityConfirmationPlaybookDefinition()},
+		{Code: "complaint-escalation", Name: "投诉升级", Description: "投诉场景经客户确认后转入人工客服处理。", Definition: complaintEscalationPlaybookDefinition()},
+		{Code: "refund-request-preparation", Name: "退款申请准备", Description: "整理退款诉求，确认后转人工继续核验和处理。", Definition: refundRequestPreparationPlaybookDefinition()},
+	}
+}
+
+func ticketWithConfirmationPlaybookDefinition() dsl.Definition {
+	return dsl.Definition{SchemaVersion: dsl.SchemaVersion,
+		Nodes: []dsl.Node{
+			workflowNode("start_1", workflowregistry.NodeTypeStart, "开始", 180, 180, nil, nil),
+			workflowNode("draft_1", workflowregistry.NodeTypePrepareTicketDraft, "整理工单草稿", 600, 180, workflowInputs("issue", "start_1", "userMessage"), nil),
+			workflowNode("ready_route_1", workflowregistry.NodeTypeCondition, "草稿分流", 1020, 180, nil, dsl.ConditionConfig{Branches: []dsl.ConditionBranch{
+				workflowConditionBranch("ready", "草稿完整", "prompt_1", "draft_1", "ready", "is_true", nil),
+				{ID: "default", Name: "补充信息", TargetNodeID: "followup_1", Default: true},
+			}}),
+			workflowNode("prompt_1", workflowregistry.NodeTypeLLMReply, "建单确认", 1440, 100, map[string]dsl.Value{"userMessage": dsl.RefValue("start_1", "userMessage"), "ticketTitle": dsl.RefValue("draft_1", "title"), "ticketDescription": dsl.RefValue("draft_1", "description")}, map[string]any{"staticReply": "我已整理工单草稿：{{ticketTitle}}。请确认是否创建。"}),
+			workflowNode("confirm_1", workflowregistry.NodeTypeHumanConfirm, "确认建单", 1860, 100, workflowInputs("prompt", "prompt_1", "replyText"), nil),
+			workflowNode("confirm_route_1", workflowregistry.NodeTypeCondition, "确认分流", 2280, 100, nil, dsl.ConditionConfig{Branches: []dsl.ConditionBranch{
+				workflowConditionBranch("confirmed", "已确认", "create_1", "confirm_1", "confirmed", "is_true", nil),
+				{ID: "default", Name: "取消", TargetNodeID: "cancel_1", Default: true},
+			}}),
+			workflowNode("create_1", workflowregistry.NodeTypeCreateTicket, "创建工单", 2700, 20, map[string]dsl.Value{"ticketDraft": dsl.RefValue("draft_1", "ticketDraft"), "confirmed": dsl.RefValue("confirm_1", "confirmed")}, nil),
+			workflowNode("followup_1", workflowregistry.NodeTypeLLMReply, "补充信息", 1440, 330, map[string]dsl.Value{"userMessage": dsl.RefValue("start_1", "userMessage"), "followUpQuestions": dsl.RefValue("draft_1", "followUpQuestions")}, map[string]any{"staticReply": "创建工单前还需要补充：{{followUpQuestions}}"}),
+			workflowNode("cancel_1", workflowregistry.NodeTypeLLMReply, "取消提示", 2700, 200, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": "已取消创建工单。"}),
+			workflowNode("send_result_1", workflowregistry.NodeTypeSendReply, "发送建单结果", 3120, 20, workflowInputs("replyText", "create_1", "message"), nil),
+			workflowNode("send_followup_1", workflowregistry.NodeTypeSendReply, "发送补充提示", 1860, 330, workflowInputs("replyText", "followup_1", "replyText"), nil),
+			workflowNode("send_cancel_1", workflowregistry.NodeTypeSendReply, "发送取消提示", 3120, 200, workflowInputs("replyText", "cancel_1", "replyText"), nil),
+			workflowNode("end_1", workflowregistry.NodeTypeEnd, "结束", 3540, 180, nil, nil),
+		},
+		Edges: []dsl.Edge{
+			workflowEdge("start_1", "draft_1"), workflowEdge("draft_1", "ready_route_1"), workflowPortEdge("ready_route_1", "prompt_1", "ready"), workflowPortEdge("ready_route_1", "followup_1", "default"),
+			workflowEdge("prompt_1", "confirm_1"), workflowEdge("confirm_1", "confirm_route_1"), workflowPortEdge("confirm_route_1", "create_1", "confirmed"), workflowPortEdge("confirm_route_1", "cancel_1", "default"),
+			workflowEdge("create_1", "send_result_1"), workflowEdge("send_result_1", "end_1"), workflowEdge("followup_1", "send_followup_1"), workflowEdge("send_followup_1", "end_1"), workflowEdge("cancel_1", "send_cancel_1"), workflowEdge("send_cancel_1", "end_1"),
+		},
+	}
+}
+
 func (s *aiWorkflowService) ValidateDefinition(def dsl.Definition) workflowvalidator.Result {
 	return workflowvalidator.ValidateDefinition(def, s.registry)
 }
@@ -390,11 +437,23 @@ func (s *aiWorkflowService) PublishAgentWorkflow(req request.PublishAIWorkflowRe
 		}); err != nil {
 			return err
 		}
+		agent := repositories.AIAgentRepository.Get(ctx.Tx, req.AgentID)
+		if agent == nil {
+			return errorsx.InvalidParamI18n("error.e0002")
+		}
+		if err := AIAgentService.validatePublishableAgent(ctx.Tx, agent); err != nil {
+			return err
+		}
+		revision, err := AgentRevisionService.PublishWorkflowSnapshot(ctx.Tx, agent, version, operator)
+		if err != nil {
+			return err
+		}
 		return repositories.AIAgentRepository.Updates(ctx.Tx, req.AgentID, map[string]any{
-			"workflow_version_id": version.ID,
-			"update_user_id":      operator.UserID,
-			"update_user_name":    operator.Username,
-			"updated_at":          now,
+			"workflow_version_id":   version.ID,
+			"published_revision_id": revision.ID,
+			"update_user_id":        operator.UserID,
+			"update_user_name":      operator.Username,
+			"updated_at":            now,
 		})
 	})
 	if err != nil {
@@ -434,7 +493,7 @@ func defaultAgentWorkflowDefinition() dsl.Definition {
 				"riskSignals":   dsl.RefValue("understanding_1", "riskSignals"),
 			}, nil),
 			workflowNode("policy_route_1", workflowregistry.NodeTypeCondition, "策略分流", 1560, 125.5, nil, dsl.ConditionConfig{Branches: []dsl.ConditionBranch{
-				workflowConditionBranch("handoff", "转人工", "handoff_1", "policy_1", "action", "eq", "handoff_to_human"),
+				workflowConditionBranch("handoff", "转人工", "handoff_confirm_prompt_1", "policy_1", "action", "eq", "handoff_to_human"),
 				workflowConditionBranch("direct", "直接回复", "policy_reply_1", "policy_1", "action", "eq", "direct_reply"),
 				workflowConditionBranch("clarify", "追问澄清", "policy_reply_1", "policy_1", "action", "eq", "clarify"),
 				workflowConditionBranch("end_conversation", "结束语", "policy_reply_1", "policy_1", "action", "eq", "end_conversation"),
@@ -442,9 +501,20 @@ func defaultAgentWorkflowDefinition() dsl.Definition {
 				workflowConditionBranch("knowledge", "知识库回复", "retrieve_1", "policy_1", "action", "eq", "retrieve_knowledge"),
 				{ID: "default", Name: "策略兜底", TargetNodeID: "policy_reply_1", Default: true},
 			}}),
-			workflowNode("handoff_1", workflowregistry.NodeTypeHandoffToHuman, "转人工", 2020, 0, workflowInputs("reason", "start_1", "userMessage"), nil),
+			workflowNode("handoff_confirm_prompt_1", workflowregistry.NodeTypeLLMReply, "转人工确认文案", 2020, 0, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": "我可以为你转接人工客服处理。请回复“确认”继续转人工，或回复“取消”继续由 AI 协助。"}),
+			workflowNode("handoff_confirm_1", workflowregistry.NodeTypeHumanConfirm, "确认转人工", 2480, 0, workflowInputs("prompt", "handoff_confirm_prompt_1", "replyText"), nil),
+			workflowNode("handoff_confirm_route_1", workflowregistry.NodeTypeCondition, "转人工确认分流", 2940, 0, nil, dsl.ConditionConfig{Branches: []dsl.ConditionBranch{
+				workflowConditionBranch("confirmed", "已确认", "handoff_1", "handoff_confirm_1", "confirmed", "is_true", nil),
+				{ID: "default", Name: "取消或未确认", TargetNodeID: "handoff_cancel_reply_1", Default: true},
+			}}),
+			workflowNode("handoff_1", workflowregistry.NodeTypeHandoffToHuman, "转人工", 3400, 0, map[string]dsl.Value{
+				"reason":    dsl.RefValue("start_1", "userMessage"),
+				"confirmed": dsl.RefValue("handoff_confirm_1", "confirmed"),
+			}, nil),
+			workflowNode("handoff_cancel_reply_1", workflowregistry.NodeTypeLLMReply, "取消转人工提示", 3400, 480, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": "已取消转人工。你可以继续补充问题，我会继续协助。"}),
+			workflowNode("send_handoff_cancel_1", workflowregistry.NodeTypeSendReply, "发送取消提示", 3860, 480, workflowInputs("replyText", "handoff_cancel_reply_1", "replyText"), nil),
 			workflowNode("policy_reply_1", workflowregistry.NodeTypeSendReply, "发送策略回复", 4320, 98.5, workflowInputs("replyText", "policy_1", "replyText"), nil),
-			workflowNode("handoff_end_1", workflowregistry.NodeTypeEnd, "结束", 2480, 0, nil, nil),
+			workflowNode("handoff_end_1", workflowregistry.NodeTypeEnd, "结束", 3860, 0, nil, nil),
 			workflowNode("draft_ticket_1", workflowregistry.NodeTypePrepareTicketDraft, "整理工单草稿", 2020, 379, workflowInputs("issue", "start_1", "userMessage"), nil),
 			workflowNode("ticket_draft_route_1", workflowregistry.NodeTypeCondition, "草稿就绪分流", 2480, 329, nil, dsl.ConditionConfig{Branches: []dsl.ConditionBranch{
 				workflowConditionBranch("ready", "草稿完整", "ticket_confirm_prompt_1", "draft_ticket_1", "ready", "is_true", nil),
@@ -497,7 +567,7 @@ func defaultAgentWorkflowDefinition() dsl.Definition {
 			workflowEdge("start_1", "understanding_1"),
 			workflowEdge("understanding_1", "policy_1"),
 			workflowEdge("policy_1", "policy_route_1"),
-			workflowPortEdge("policy_route_1", "handoff_1", "handoff"),
+			workflowPortEdge("policy_route_1", "handoff_confirm_prompt_1", "handoff"),
 			workflowPortEdge("policy_route_1", "policy_reply_1", "direct"),
 			workflowPortEdge("policy_route_1", "policy_reply_1", "clarify"),
 			workflowPortEdge("policy_route_1", "policy_reply_1", "end_conversation"),
@@ -505,7 +575,13 @@ func defaultAgentWorkflowDefinition() dsl.Definition {
 			workflowPortEdge("policy_route_1", "retrieve_1", "knowledge"),
 			workflowPortEdge("policy_route_1", "policy_reply_1", "default"),
 			workflowEdge("policy_reply_1", "end_1"),
+			workflowEdge("handoff_confirm_prompt_1", "handoff_confirm_1"),
+			workflowEdge("handoff_confirm_1", "handoff_confirm_route_1"),
+			workflowPortEdge("handoff_confirm_route_1", "handoff_1", "confirmed"),
+			workflowPortEdge("handoff_confirm_route_1", "handoff_cancel_reply_1", "default"),
 			workflowEdge("handoff_1", "handoff_end_1"),
+			workflowEdge("handoff_cancel_reply_1", "send_handoff_cancel_1"),
+			workflowEdge("send_handoff_cancel_1", "end_1"),
 			workflowEdge("draft_ticket_1", "ticket_draft_route_1"),
 			workflowPortEdge("ticket_draft_route_1", "ticket_confirm_prompt_1", "ready"),
 			workflowPortEdge("ticket_draft_route_1", "ticket_followup_reply_1", "default"),
@@ -531,6 +607,62 @@ func defaultAgentWorkflowDefinition() dsl.Definition {
 	}
 }
 
+func identityConfirmationPlaybookDefinition() dsl.Definition {
+	return dsl.Definition{SchemaVersion: dsl.SchemaVersion,
+		Nodes: []dsl.Node{
+			workflowNode("start_1", workflowregistry.NodeTypeStart, "开始", 180, 180, nil, nil),
+			workflowNode("prompt_1", workflowregistry.NodeTypeLLMReply, "身份确认提示", 600, 180, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": "为保护你的账户信息，请确认是否继续身份核验。"}),
+			workflowNode("confirm_1", workflowregistry.NodeTypeHumanConfirm, "确认身份核验", 1020, 180, workflowInputs("prompt", "prompt_1", "replyText"), nil),
+			workflowNode("route_1", workflowregistry.NodeTypeCondition, "确认分流", 1440, 180, nil, dsl.ConditionConfig{Branches: []dsl.ConditionBranch{
+				workflowConditionBranch("confirmed", "已确认", "confirmed_reply_1", "confirm_1", "confirmed", "is_true", nil),
+				{ID: "default", Name: "取消", TargetNodeID: "cancel_reply_1", Default: true},
+			}}),
+			workflowNode("confirmed_reply_1", workflowregistry.NodeTypeLLMReply, "确认结果", 1860, 100, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": "已收到确认，人工客服将继续为你核验身份。"}),
+			workflowNode("cancel_reply_1", workflowregistry.NodeTypeLLMReply, "取消提示", 1860, 280, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": "已取消身份核验。"}),
+			workflowNode("send_confirmed_1", workflowregistry.NodeTypeSendReply, "发送确认结果", 2280, 100, workflowInputs("replyText", "confirmed_reply_1", "replyText"), nil),
+			workflowNode("send_cancel_1", workflowregistry.NodeTypeSendReply, "发送取消提示", 2280, 280, workflowInputs("replyText", "cancel_reply_1", "replyText"), nil),
+			workflowNode("end_1", workflowregistry.NodeTypeEnd, "结束", 2700, 180, nil, nil),
+		},
+		Edges: []dsl.Edge{
+			workflowEdge("start_1", "prompt_1"), workflowEdge("prompt_1", "confirm_1"), workflowEdge("confirm_1", "route_1"),
+			workflowPortEdge("route_1", "confirmed_reply_1", "confirmed"), workflowPortEdge("route_1", "cancel_reply_1", "default"),
+			workflowEdge("confirmed_reply_1", "send_confirmed_1"), workflowEdge("cancel_reply_1", "send_cancel_1"), workflowEdge("send_confirmed_1", "end_1"), workflowEdge("send_cancel_1", "end_1"),
+		},
+	}
+}
+
+func complaintEscalationPlaybookDefinition() dsl.Definition {
+	return confirmationHandoffPlaybookDefinition("投诉升级确认", "我们将把本次投诉升级给人工客服处理。请确认是否继续。", "已为你升级投诉，人工客服会尽快跟进。", "投诉升级已取消。")
+}
+
+func confirmationHandoffPlaybookDefinition(title, prompt, confirmedReply, cancelledReply string) dsl.Definition {
+	return dsl.Definition{SchemaVersion: dsl.SchemaVersion,
+		Nodes: []dsl.Node{
+			workflowNode("start_1", workflowregistry.NodeTypeStart, "开始", 180, 180, nil, nil),
+			workflowNode("prompt_1", workflowregistry.NodeTypeLLMReply, title, 600, 180, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": prompt}),
+			workflowNode("confirm_1", workflowregistry.NodeTypeHumanConfirm, "确认升级", 1020, 180, workflowInputs("prompt", "prompt_1", "replyText"), nil),
+			workflowNode("route_1", workflowregistry.NodeTypeCondition, "确认分流", 1440, 180, nil, dsl.ConditionConfig{Branches: []dsl.ConditionBranch{
+				workflowConditionBranch("confirmed", "已确认", "handoff_1", "confirm_1", "confirmed", "is_true", nil),
+				{ID: "default", Name: "取消", TargetNodeID: "cancel_reply_1", Default: true},
+			}}),
+			workflowNode("handoff_1", workflowregistry.NodeTypeHandoffToHuman, "转人工处理", 1860, 100, map[string]dsl.Value{"reason": dsl.RefValue("start_1", "userMessage"), "confirmed": dsl.RefValue("confirm_1", "confirmed")}, nil),
+			workflowNode("cancel_reply_1", workflowregistry.NodeTypeLLMReply, "取消提示", 1860, 280, workflowInputs("userMessage", "start_1", "userMessage"), map[string]any{"staticReply": cancelledReply}),
+			workflowNode("send_handoff_1", workflowregistry.NodeTypeSendReply, "发送升级结果", 2280, 100, workflowInputs("replyText", "handoff_1", "message"), nil),
+			workflowNode("send_cancel_1", workflowregistry.NodeTypeSendReply, "发送取消提示", 2280, 280, workflowInputs("replyText", "cancel_reply_1", "replyText"), nil),
+			workflowNode("end_1", workflowregistry.NodeTypeEnd, "结束", 2700, 180, nil, nil),
+		},
+		Edges: []dsl.Edge{
+			workflowEdge("start_1", "prompt_1"), workflowEdge("prompt_1", "confirm_1"), workflowEdge("confirm_1", "route_1"),
+			workflowPortEdge("route_1", "handoff_1", "confirmed"), workflowPortEdge("route_1", "cancel_reply_1", "default"),
+			workflowEdge("handoff_1", "send_handoff_1"), workflowEdge("cancel_reply_1", "send_cancel_1"), workflowEdge("send_handoff_1", "end_1"), workflowEdge("send_cancel_1", "end_1"),
+		},
+	}
+}
+
+func refundRequestPreparationPlaybookDefinition() dsl.Definition {
+	return confirmationHandoffPlaybookDefinition("退款申请确认", "我会先整理退款申请并转交人工客服核验。请确认是否继续。", "退款申请已准备完成，人工客服将继续核验订单和退款条件。", "退款申请准备已取消。")
+}
+
 func workflowNode(id string, nodeType string, title string, x float64, y float64, inputs map[string]dsl.Value, config any) dsl.Node {
 	return dsl.Node{
 		ID:   id,

internal/services/ai_workflow_service_test.go

@@ -83,6 +83,26 @@ func TestAIWorkflowServicePublishCreatesImmutableVersion(t *testing.T) {
 	}
 }
 
+func TestAIWorkflowServicePlaybookTemplatesAreValid(t *testing.T) {
+	templates := AIWorkflowService.ListPlaybookTemplates()
+	if len(templates) != 4 {
+		t.Fatalf("template count = %d, want 4", len(templates))
+	}
+	seen := make(map[string]struct{}, len(templates))
+	for _, item := range templates {
+		if item.Code == "" || item.Name == "" {
+			t.Fatalf("template identity is required: %#v", item)
+		}
+		if _, exists := seen[item.Code]; exists {
+			t.Fatalf("duplicate template code: %s", item.Code)
+		}
+		seen[item.Code] = struct{}{}
+		if result := AIWorkflowService.ValidateDefinition(item.Definition); !result.Valid {
+			t.Fatalf("template %s is invalid: %#v", item.Code, result.Errors)
+		}
+	}
+}
+
 func TestAIWorkflowServicePublishIncrementsVersion(t *testing.T) {
 	setupAIWorkflowTestDB(t)
 	operator := aiWorkflowTestOperator()

internal/services/business_tool_executor.go

@@ -0,0 +1,120 @@
+package services
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"strings"
+
+	aitooling "agent-desk/internal/ai/tooling"
+	"agent-desk/internal/models"
+	"agent-desk/internal/pkg/dto"
+	"agent-desk/internal/pkg/dto/request"
+	"agent-desk/internal/pkg/toolx"
+)
+
+// BusinessToolExecutor is the write boundary for built-in business tools.
+// Autonomous mode deliberately does not expose it; deterministic Playbooks
+// invoke it only after their human-confirm node has completed.
+var BusinessToolExecutor = newBusinessToolExecutor(aitooling.DefaultRegistry)
+
+type BusinessToolInput struct {
+	Conversation   models.Conversation
+	AIAgent        models.AIAgent
+	ToolCode       string
+	Arguments      map[string]any
+	IdempotencyKey string
+	Confirmed      bool
+}
+
+type BusinessToolResult struct {
+	Definition aitooling.Definition
+	ResultData string
+	Reused     bool
+}
+
+type businessToolExecutor struct {
+	registry *aitooling.Registry
+}
+
+func newBusinessToolExecutor(registry *aitooling.Registry) *businessToolExecutor {
+	return &businessToolExecutor{registry: registry}
+}
+
+func (e *businessToolExecutor) Execute(_ context.Context, input BusinessToolInput) (*BusinessToolResult, error) {
+	toolCode := toolx.NormalizeToolCodeAlias(strings.TrimSpace(input.ToolCode))
+	definition, err := e.registry.Resolve(toolCode)
+	if err != nil {
+		return nil, err
+	}
+	if err := e.registry.Authorize(definition, aitooling.Policy{AllowedToolCodes: []string{definition.Code}, AllowedRiskLevels: []string{aitooling.RiskLevelWrite}, Confirmed: input.Confirmed}); err != nil {
+		return nil, err
+	}
+	if input.Conversation.ID <= 0 || strings.TrimSpace(input.IdempotencyKey) == "" {
+		return nil, fmt.Errorf("business tool invocation requires conversation and idempotency key")
+	}
+	claim, err := AgentToolInvocationService.Claim(input.Conversation.ID, input.AIAgent.ID, definition.Code, input.IdempotencyKey)
+	if err != nil {
+		return nil, err
+	}
+	if claim == nil || claim.Item == nil {
+		return nil, fmt.Errorf("business tool invocation could not be claimed")
+	}
+	if claim.Completed {
+		return &BusinessToolResult{Definition: definition, ResultData: claim.Item.ResultData, Reused: true}, nil
+	}
+	if !claim.Acquired {
+		return nil, fmt.Errorf("business tool invocation is already running: %s", definition.Code)
+	}
+
+	resultData, err := e.execute(definition.Code, input)
+	if err != nil {
+		_ = AgentToolInvocationService.Fail(claim.Item, err)
+		return nil, err
+	}
+	if err := AgentToolInvocationService.Complete(claim.Item, resultData); err != nil {
+		return nil, err
+	}
+	return &BusinessToolResult{Definition: definition, ResultData: resultData}, nil
+}
+
+func (e *businessToolExecutor) execute(toolCode string, input BusinessToolInput) (string, error) {
+	switch toolCode {
+	case toolx.GraphCreateTicketConfirm.Code:
+		item, err := TicketService.CreateFromConversation(request.CreateTicketFromConversationRequest{
+			ConversationID: input.Conversation.ID,
+			Title:          businessToolString(input.Arguments["title"]),
+			Description:    businessToolString(input.Arguments["description"]),
+		}, businessToolPrincipal(input.AIAgent))
+		if err != nil {
+			return "", err
+		}
+		return businessToolJSON(map[string]any{"ticketId": item.ID, "ticketNo": item.TicketNo, "created": true})
+	case toolx.GraphHandoffConversation.Code:
+		result, err := ConversationHumanDispatchService.HandoffByAIWithRequestID(input.Conversation.ID, input.AIAgent, businessToolString(input.Arguments["reason"]), input.IdempotencyKey)
+		if err != nil {
+			return "", err
+		}
+		return businessToolJSON(map[string]any{"decision": result.Decision, "teamId": result.TeamID, "assigneeId": result.AssigneeID, "message": result.Message})
+	default:
+		return "", fmt.Errorf("business tool is not executable: %s", toolCode)
+	}
+}
+
+func businessToolString(value any) string {
+	text, _ := value.(string)
+	return strings.TrimSpace(text)
+}
+
+func businessToolPrincipal(agent models.AIAgent) *dto.AuthPrincipal {
+	name := strings.TrimSpace(agent.Name)
+	if name == "" {
+		name = "AI"
+	}
+	return &dto.AuthPrincipal{Username: name, Nickname: name}
+}
+
+func businessToolJSON(value any) (string, error) {
+	data, err := json.Marshal(value)
+	return string(data), err
+}

internal/services/channel_service.go

@@ -105,17 +105,49 @@ func (s *channelService) UpdateChannel(req request.UpdateChannelRequest, operato
 	if err != nil {
 		return err
 	}
-	return repositories.ChannelRepository.Updates(sqls.DB(), req.ID, map[string]any{
-		"channel_type":     item.ChannelType,
-		"channel_id":       item.ChannelID,
-		"ai_agent_id":      item.AIAgentID,
-		"name":             item.Name,
-		"config_json":      item.ConfigJSON,
-		"status":           item.Status,
-		"remark":           item.Remark,
-		"update_user_id":   operator.UserID,
-		"update_user_name": operator.Username,
-		"updated_at":       time.Now(),
+	columns := map[string]any{
+		"channel_type":             item.ChannelType,
+		"channel_id":               item.ChannelID,
+		"ai_agent_id":              item.AIAgentID,
+		"ai_agent_rollout_percent": item.AIAgentRolloutPercent,
+		"name":                     item.Name,
+		"config_json":              item.ConfigJSON,
+		"status":                   item.Status,
+		"remark":                   item.Remark,
+		"update_user_id":           operator.UserID,
+		"update_user_name":         operator.Username,
+		"updated_at":               time.Now(),
+	}
+	if item.AIAgentRolloutPercent != current.AIAgentRolloutPercent {
+		columns["previous_ai_agent_rollout_percent"] = current.AIAgentRolloutPercent
+	}
+	return repositories.ChannelRepository.Updates(sqls.DB(), req.ID, columns)
+}
+
+// RollbackChannelAIAgentRollout restores the last channel-level rollout value
+// and swaps it into history so the action itself is reversible.
+func (s *channelService) RollbackChannelAIAgentRollout(id int64, operator *dto.AuthPrincipal) error {
+	if operator == nil {
+		return errorsx.UnauthorizedI18n("error.auth.expired")
+	}
+	if id <= 0 {
+		return errorsx.InvalidParam("channel id is required")
+	}
+	return sqls.WithTransaction(func(ctx *sqls.TxContext) error {
+		channel := repositories.ChannelRepository.Get(ctx.Tx, id)
+		if channel == nil || channel.Status == enums.StatusDeleted {
+			return errorsx.InvalidParamI18n("error.e0208")
+		}
+		if channel.PreviousAIAgentRolloutPercent < 1 || channel.PreviousAIAgentRolloutPercent > 100 {
+			return errorsx.InvalidParam("channel rollout has no previous value to restore")
+		}
+		return repositories.ChannelRepository.Updates(ctx.Tx, channel.ID, map[string]any{
+			"ai_agent_rollout_percent":          channel.PreviousAIAgentRolloutPercent,
+			"previous_ai_agent_rollout_percent": channel.AIAgentRolloutPercent,
+			"update_user_id":                    operator.UserID,
+			"update_user_name":                  operator.Username,
+			"updated_at":                        time.Now(),
+		})
 	})
 }
 
@@ -394,12 +426,30 @@ func (s *channelService) buildChannelModel(id int64, req request.CreateChannelRe
 	if req.AIAgentID <= 0 {
 		return nil, errorsx.InvalidParamI18n("error.e0321")
 	}
+	if req.AIAgentRolloutPercent == 0 {
+		req.AIAgentRolloutPercent = 100
+	}
+	if req.AIAgentRolloutPercent < 1 || req.AIAgentRolloutPercent > 100 {
+		return nil, errorsx.InvalidParam("channel ai agent rollout percent must be between 1 and 100")
+	}
 	aiAgent := AIAgentService.Get(req.AIAgentID)
 	if aiAgent == nil || aiAgent.Status != enums.StatusOk {
 		return nil, errorsx.InvalidParamI18n("error.e0004")
 	}
-	if aiAgent.WorkflowVersionID <= 0 {
-		return nil, errorsx.InvalidParam("ai agent workflow must be published before binding channel")
+	if aiAgent.RuntimeMode == "" || aiAgent.RuntimeMode == enums.AIAgentRuntimeModeWorkflow {
+		if aiAgent.WorkflowVersionID <= 0 {
+			return nil, errorsx.InvalidParam("ai agent workflow must be published before binding channel")
+		}
+	} else if aiAgent.RuntimeMode == enums.AIAgentRuntimeModeAutonomous {
+		if aiAgent.PublishedRevisionID <= 0 {
+			return nil, errorsx.InvalidParam("autonomous ai agent must be published before binding channel")
+		}
+	} else if aiAgent.RuntimeMode == enums.AIAgentRuntimeModeHybrid {
+		if aiAgent.PublishedRevisionID <= 0 || aiAgent.WorkflowVersionID <= 0 {
+			return nil, errorsx.InvalidParam("hybrid ai agent and workflow must be published before binding channel")
+		}
+	} else {
+		return nil, errorsx.InvalidParam("ai agent runtime mode is not available yet")
 	}
 	status := enums.Status(req.Status)
 	if req.Status == 0 {
@@ -485,12 +535,13 @@ func (s *channelService) buildChannelModel(id int64, req request.CreateChannelRe
 	}
 
 	return &models.Channel{
-		ChannelType: channelType,
-		ChannelID:   channelID,
-		AIAgentID:   req.AIAgentID,
-		Name:        name,
-		ConfigJSON:  configJSON,
-		Status:      status,
-		Remark:      strings.TrimSpace(req.Remark),
+		ChannelType:           channelType,
+		ChannelID:             channelID,
+		AIAgentID:             req.AIAgentID,
+		AIAgentRolloutPercent: req.AIAgentRolloutPercent,
+		Name:                  name,
+		ConfigJSON:            configJSON,
+		Status:                status,
+		Remark:                strings.TrimSpace(req.Remark),
 	}, nil
 }

internal/services/channel_service_test.go

@@ -48,6 +48,123 @@ func TestChannelServiceAllowsAgentWithPublishedWorkflow(t *testing.T) {
 	}
 }
 
+func TestChannelServiceStoresAIAgentRolloutPercent(t *testing.T) {
+	db := setupChannelServiceTestDB(t)
+	agent := createChannelServiceTestAgent(t, db, 1001)
+	item, err := ChannelService.CreateChannel(request.CreateChannelRequest{
+		ChannelType: enums.ChannelTypeWeb, AIAgentID: agent.ID, AIAgentRolloutPercent: 25,
+		Name: "灰度渠道", Status: int(enums.StatusOk),
+	}, channelServiceTestOperator())
+	if err != nil || item == nil || item.AIAgentRolloutPercent != 25 {
+		t.Fatalf("expected persisted rollout percent, item=%#v err=%v", item, err)
+	}
+	if _, err := ChannelService.CreateChannel(request.CreateChannelRequest{
+		ChannelType: enums.ChannelTypeWeb, AIAgentID: agent.ID, AIAgentRolloutPercent: 101,
+		Name: "错误灰度渠道", Status: int(enums.StatusOk),
+	}, channelServiceTestOperator()); err == nil {
+		t.Fatal("expected invalid rollout percent to be rejected")
+	}
+}
+
+func TestChannelServiceRollsBackPreviousAIAgentRolloutPercent(t *testing.T) {
+	db := setupChannelServiceTestDB(t)
+	agent := createChannelServiceTestAgent(t, db, 1001)
+	channel, err := ChannelService.CreateChannel(request.CreateChannelRequest{
+		ChannelType: enums.ChannelTypeWeb, AIAgentID: agent.ID, AIAgentRolloutPercent: 20,
+		Name: "渠道灰度回滚", Status: int(enums.StatusOk),
+	}, channelServiceTestOperator())
+	if err != nil {
+		t.Fatalf("create channel: %v", err)
+	}
+	if err := db.Model(&models.Channel{}).Where("id = ?", channel.ID).Update("previous_ai_agent_rollout_percent", 100).Error; err != nil {
+		t.Fatalf("set previous rollout: %v", err)
+	}
+	operator := channelServiceTestOperator()
+	if err := ChannelService.RollbackChannelAIAgentRollout(channel.ID, operator); err != nil {
+		t.Fatalf("RollbackChannelAIAgentRollout: %v", err)
+	}
+	updated := ChannelService.Get(channel.ID)
+	if updated == nil || updated.AIAgentRolloutPercent != 100 || updated.PreviousAIAgentRolloutPercent != 20 {
+		t.Fatalf("unexpected channel rollout rollback: %#v", updated)
+	}
+	if err := ChannelService.RollbackChannelAIAgentRollout(channel.ID, operator); err != nil {
+		t.Fatalf("second RollbackChannelAIAgentRollout: %v", err)
+	}
+	updated = ChannelService.Get(channel.ID)
+	if updated == nil || updated.AIAgentRolloutPercent != 20 || updated.PreviousAIAgentRolloutPercent != 100 {
+		t.Fatalf("unexpected channel rollout redo: %#v", updated)
+	}
+}
+
+func TestChannelServiceRejectsUnpublishedAutonomousRuntime(t *testing.T) {
+	db := setupChannelServiceTestDB(t)
+	agent := createChannelServiceTestAgent(t, db, 1001)
+	if err := db.Model(&models.AIAgent{}).Where("id = ?", agent.ID).Update("runtime_mode", enums.AIAgentRuntimeModeAutonomous).Error; err != nil {
+		t.Fatalf("set autonomous runtime mode: %v", err)
+	}
+
+	_, err := ChannelService.CreateChannel(request.CreateChannelRequest{
+		ChannelType: enums.ChannelTypeWeb,
+		AIAgentID:   agent.ID,
+		Name:        "官网客服",
+		Status:      int(enums.StatusOk),
+	}, channelServiceTestOperator())
+	if err == nil || !strings.Contains(err.Error(), "must be published") {
+		t.Fatalf("expected unpublished autonomous runtime error, got %v", err)
+	}
+}
+
+func TestChannelServiceAcceptsPublishedAutonomousRuntime(t *testing.T) {
+	db := setupChannelServiceTestDB(t)
+	agent := createChannelServiceTestAgent(t, db, 1001)
+	revision := &models.AgentRevision{AgentID: agent.ID, Revision: 1, Status: enums.StatusOk}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create agent revision: %v", err)
+	}
+	if err := db.Model(&models.AIAgent{}).Where("id = ?", agent.ID).Updates(map[string]any{
+		"runtime_mode":          enums.AIAgentRuntimeModeAutonomous,
+		"published_revision_id": revision.ID,
+	}).Error; err != nil {
+		t.Fatalf("set autonomous runtime mode: %v", err)
+	}
+	item, err := ChannelService.CreateChannel(request.CreateChannelRequest{
+		ChannelType: enums.ChannelTypeWeb, AIAgentID: agent.ID, Name: "自主客服", Status: int(enums.StatusOk),
+	}, channelServiceTestOperator())
+	if err != nil || item == nil {
+		t.Fatalf("create channel for autonomous runtime: item=%#v err=%v", item, err)
+	}
+}
+
+func TestChannelServiceRequiresBothHybridPublicationArtifacts(t *testing.T) {
+	db := setupChannelServiceTestDB(t)
+	agent := createChannelServiceTestAgent(t, db, 0)
+	revision := &models.AgentRevision{AgentID: agent.ID, Revision: 1, Status: enums.StatusOk}
+	if err := db.Create(revision).Error; err != nil {
+		t.Fatalf("create agent revision: %v", err)
+	}
+	if err := db.Model(&models.AIAgent{}).Where("id = ?", agent.ID).Updates(map[string]any{
+		"runtime_mode":          enums.AIAgentRuntimeModeHybrid,
+		"published_revision_id": revision.ID,
+	}).Error; err != nil {
+		t.Fatalf("set hybrid runtime mode: %v", err)
+	}
+	_, err := ChannelService.CreateChannel(request.CreateChannelRequest{
+		ChannelType: enums.ChannelTypeWeb, AIAgentID: agent.ID, Name: "混合客服", Status: int(enums.StatusOk),
+	}, channelServiceTestOperator())
+	if err == nil || !strings.Contains(err.Error(), "hybrid ai agent") {
+		t.Fatalf("expected hybrid publication error, got %v", err)
+	}
+	if err := db.Model(&models.AIAgent{}).Where("id = ?", agent.ID).Update("workflow_version_id", 1001).Error; err != nil {
+		t.Fatalf("set workflow version: %v", err)
+	}
+	item, err := ChannelService.CreateChannel(request.CreateChannelRequest{
+		ChannelType: enums.ChannelTypeWeb, AIAgentID: agent.ID, Name: "混合客服已发布", Status: int(enums.StatusOk),
+	}, channelServiceTestOperator())
+	if err != nil || item == nil {
+		t.Fatalf("create channel for hybrid runtime: item=%#v err=%v", item, err)
+	}
+}
+
 func setupChannelServiceTestDB(t *testing.T) *gorm.DB {
 	t.Helper()
 	dbName := strings.NewReplacer("/", "_", " ", "_").Replace(t.Name())
@@ -66,7 +183,7 @@ func setupChannelServiceTestDB(t *testing.T) *gorm.DB {
 			_ = sqlDB.Close()
 		}
 	})
-	if err := db.AutoMigrate(&models.AIAgent{}, &models.Channel{}); err != nil {
+	if err := db.AutoMigrate(&models.AIAgent{}, &models.AgentRevision{}, &models.Channel{}); err != nil {
 		t.Fatalf("auto migrate: %v", err)
 	}
 	sqls.SetDB(db)

internal/services/conversation_interrupt_service.go

@@ -94,6 +94,8 @@ func (s *conversationInterruptService) mergeForCheckpointUpdate(current, next *m
 	merged := *current
 	merged.ConversationID = current.ConversationID
 	merged.AIAgentID = current.AIAgentID
+	merged.AgentRunID = current.AgentRunID
+	merged.AgentStepID = current.AgentStepID
 	merged.SourceMessageID = current.SourceMessageID
 	merged.LastResumeMessageID = current.LastResumeMessageID
 	merged.WorkflowRunID = current.WorkflowRunID
@@ -120,6 +122,8 @@ func (s *conversationInterruptService) mergeForPendingUpdate(current, next *mode
 	merged := *current
 	merged.ConversationID = next.ConversationID
 	merged.AIAgentID = next.AIAgentID
+	merged.AgentRunID = next.AgentRunID
+	merged.AgentStepID = next.AgentStepID
 	merged.SourceMessageID = next.SourceMessageID
 	merged.WorkflowRunID = next.WorkflowRunID
 	merged.WorkflowNodeID = next.WorkflowNodeID

web/app/dashboard/agent-runs/page.tsx

@@ -0,0 +1,167 @@
+"use client"
+
+import { useEffect, useState } from "react"
+import { AlertTriangleIcon, BotMessageSquareIcon, Clock3Icon, WorkflowIcon, WrenchIcon } from "lucide-react"
+import { toast } from "sonner"
+
+import { DashboardListPage } from "@/components/dashboard/list"
+import { JsonTreeViewer } from "@/components/json-tree-viewer"
+import { OptionCombobox } from "@/components/option-combobox"
+import { ProjectDialog } from "@/components/project-dialog"
+import { Badge } from "@/components/ui/badge"
+import { Button } from "@/components/ui/button"
+import { Textarea } from "@/components/ui/textarea"
+import { fetchAgentRun, fetchAgentRunMetrics, fetchAgentRuns, fetchAIWorkflowRun, fetchAgentRunEngineComparisons, saveAgentRunQualityFeedback, type AgentRun, type AgentRunEngineComparison, type AgentRunMetrics, type AgentStep, type AgentToolCall, type AIWorkflowRun } from "@/lib/api/admin"
+import { formatDateTime } from "@/lib/utils"
+import { useI18n } from "@/i18n/provider"
+import { WorkflowRunAuditGraph } from "../ai-workflow-runs/_components/workflow-run-audit-graph"
+
+function statusVariant(status: string) {
+  if (status === "failed") return "destructive" as const
+  if (status === "interrupted") return "outline" as const
+  if (status === "completed") return "default" as const
+  return "secondary" as const
+}
+
+export default function DashboardAgentRunsPage() {
+  const t = useI18n()
+  const [open, setOpen] = useState(false)
+  const [loading, setLoading] = useState(false)
+  const [run, setRun] = useState<AgentRun | null>(null)
+	const [workflowAuditOpen, setWorkflowAuditOpen] = useState(false)
+	const [workflowAuditLoading, setWorkflowAuditLoading] = useState(false)
+	const [workflowRun, setWorkflowRun] = useState<AIWorkflowRun | null>(null)
+	const [metrics, setMetrics] = useState<AgentRunMetrics | null>(null)
+	const [comparisons, setComparisons] = useState<AgentRunEngineComparison[]>([])
+
+	useEffect(() => {
+		void fetchAgentRunMetrics().then(setMetrics).catch(() => setMetrics(null))
+		void fetchAgentRunEngineComparisons().then(setComparisons).catch(() => setComparisons([]))
+	}, [])
+
+  async function openDetail(id: number) {
+    setOpen(true)
+    setLoading(true)
+    try {
+      setRun(await fetchAgentRun(id))
+    } catch (error) {
+      toast.error(error instanceof Error ? error.message : t("agentRun.loadDetailFailed"))
+      setOpen(false)
+    } finally {
+      setLoading(false)
+    }
+  }
+
+	async function openWorkflowAudit(id: number) {
+		if (id <= 0) return
+		setWorkflowAuditOpen(true)
+		setWorkflowAuditLoading(true)
+		try {
+			setWorkflowRun(await fetchAIWorkflowRun(id))
+		} catch (error) {
+			toast.error(error instanceof Error ? error.message : "加载 Workflow 节点审计失败")
+			setWorkflowAuditOpen(false)
+		} finally {
+			setWorkflowAuditLoading(false)
+		}
+	}
+
+  return (
+    <>
+		{metrics ? <div className="grid grid-cols-2 gap-px border-b bg-border sm:grid-cols-4 lg:grid-cols-5 xl:grid-cols-10">
+			<Metric label="运行完成率" value={`${Math.round(metrics.completionRate * 100)}%`} detail={`${metrics.completedRuns}/${metrics.totalRuns}`} />
+			<Metric label="解决率" value={metrics.reviewedRuns ? `${Math.round(metrics.resolutionRate * 100)}%` : "-"} detail={`${metrics.resolvedRuns}/${metrics.reviewedRuns} 已质检`} />
+			<Metric label="无依据率" value={metrics.reviewedRuns ? `${Math.round(metrics.unsupportedEvidenceRate * 100)}%` : "-"} detail={`${metrics.unsupportedEvidenceRuns}/${metrics.reviewedRuns} 已质检`} />
+			<Metric label="工具成功率" value={metrics.toolCalls ? `${Math.round(metrics.toolSuccessRate * 100)}%` : "-"} detail={`${metrics.toolCalls} 次调用`} />
+			<Metric label="平均步骤" value={metrics.averageSteps.toFixed(1)} detail={`${metrics.totalRuns} 次运行`} />
+			<Metric label="P95 时延" value={`${metrics.p95DurationMs} ms`} detail={`平均 ${metrics.averageDurationMs} ms`} />
+			<Metric label="Token" value={`${metrics.promptTokens + metrics.completionTokens}`} detail={`${metrics.promptTokens}/${metrics.completionTokens}`} />
+			<Metric label="转人工率" value={`${Math.round(metrics.handoffRate * 100)}%`} detail="已转人工会话" />
+			<Metric label="知识兜底率" value={`${Math.round(metrics.knowledgeFallbackRate * 100)}%`} detail="证据不足或检索失败" />
+			<Metric label="中断恢复率" value={metrics.resumedInterrupts ? `${Math.round(metrics.interruptRecoveryRate * 100)}%` : "-"} detail={`${metrics.resolvedInterrupts}/${metrics.resumedInterrupts}`} />
+		</div> : null}
+		{comparisons.length > 0 ? <section className="border-b"><div className="px-4 py-3 text-sm font-medium">运行模式对比</div><div className="overflow-x-auto"><table className="w-full min-w-[760px] text-sm"><thead className="border-y bg-muted/30 text-left text-xs text-muted-foreground"><tr><th className="px-4 py-2 font-medium">模式</th><th className="px-4 py-2 text-right font-medium">运行</th><th className="px-4 py-2 text-right font-medium">完成率</th><th className="px-4 py-2 text-right font-medium">解决率</th><th className="px-4 py-2 text-right font-medium">无依据率</th><th className="px-4 py-2 text-right font-medium">工具成功率</th><th className="px-4 py-2 text-right font-medium">P95</th><th className="px-4 py-2 text-right font-medium">Token</th></tr></thead><tbody>{comparisons.map((item) => <tr key={item.engineCode} className="border-b last:border-0"><td className="px-4 py-2 font-medium">{item.engineCode}</td><td className="px-4 py-2 text-right">{item.metrics.totalRuns}</td><td className="px-4 py-2 text-right">{Math.round(item.metrics.completionRate * 100)}%</td><td className="px-4 py-2 text-right">{item.metrics.reviewedRuns ? `${Math.round(item.metrics.resolutionRate * 100)}%` : "-"}</td><td className="px-4 py-2 text-right">{item.metrics.reviewedRuns ? `${Math.round(item.metrics.unsupportedEvidenceRate * 100)}%` : "-"}</td><td className="px-4 py-2 text-right">{item.metrics.toolCalls ? `${Math.round(item.metrics.toolSuccessRate * 100)}%` : "-"}</td><td className="px-4 py-2 text-right">{item.metrics.p95DurationMs} ms</td><td className="px-4 py-2 text-right">{item.metrics.promptTokens + item.metrics.completionTokens}</td></tr>)}</tbody></table></div></section> : null}
+      <DashboardListPage<AgentRun>
+        filters={[
+          { name: "conversationId", label: t("agentRun.conversation"), defaultValue: "", valueType: "number", className: "w-full sm:w-40" },
+          { name: "aiAgentId", label: t("agentRun.agent"), defaultValue: "", valueType: "number", className: "w-full sm:w-40" },
+          { name: "engineCode", label: t("agentRun.engine"), defaultValue: "", className: "w-full sm:w-40" },
+          { name: "status", label: t("agentRun.status"), defaultValue: "", className: "w-full sm:w-40" },
+        ]}
+        fetchList={fetchAgentRuns}
+        getItemId={(item) => item.id}
+        getRowClassName={() => "cursor-pointer"}
+        onRowClick={(item) => void openDetail(item.id)}
+        columns={[
+          { key: "startedAt", label: t("agentRun.startedAt"), className: "w-42 text-xs text-muted-foreground", render: (item) => formatDateTime(item.startedAt || item.createdAt) },
+          { key: "engine", label: t("agentRun.engine"), className: "w-32", render: (item) => item.engineCode || "-" },
+          { key: "agent", label: t("agentRun.agent"), className: "w-28", render: (item) => `#${item.aiAgentId || "-"}` },
+          { key: "conversation", label: t("agentRun.conversation"), className: "w-28", render: (item) => `#${item.conversationId || "-"}` },
+          { key: "status", label: t("agentRun.status"), className: "w-30", render: (item) => <Badge variant={statusVariant(item.status)}>{item.status || "-"}</Badge> },
+          { key: "duration", label: t("agentRun.duration"), className: "w-24 text-right", render: (item) => `${item.durationMs || 0} ms` },
+          { key: "tokens", label: t("agentRun.tokens"), className: "w-28 text-right", render: (item) => `${item.promptTokens || 0}/${item.completionTokens || 0}` },
+          { key: "error", label: t("agentRun.error"), className: "w-72 max-w-72", render: (item) => item.errorMessage ? <span className="block truncate text-xs text-destructive" title={item.errorMessage}>{item.errorMessage}</span> : "-" },
+        ]}
+        labels={{ refresh: t("agentRun.refresh"), query: t("agentRun.query"), loading: t("agentRun.loading"), empty: t("agentRun.empty"), loadFailed: t("agentRun.loadFailed") }}
+      />
+		<AgentRunDetailDialog open={open} loading={loading} run={run} onOpenWorkflowAudit={openWorkflowAudit} onQualityFeedbackSaved={(id) => void openDetail(id)} onOpenChange={(next) => { setOpen(next); if (!next) setRun(null) }} t={t} />
+		<WorkflowAuditDialog open={workflowAuditOpen} loading={workflowAuditLoading} run={workflowRun} onOpenChange={(next) => { setWorkflowAuditOpen(next); if (!next) setWorkflowRun(null) }} />
+    </>
+  )
+}
+
+function Metric({ label, value, detail }: { label: string; value: string; detail: string }) { return <div className="bg-background px-4 py-3"><div className="text-xs text-muted-foreground">{label}</div><div className="mt-1 text-lg font-semibold">{value}</div><div className="text-xs text-muted-foreground">{detail}</div></div> }
+
+function AgentRunDetailDialog({ open, loading, run, onOpenChange, onOpenWorkflowAudit, onQualityFeedbackSaved, t }: { open: boolean; loading: boolean; run: AgentRun | null; onOpenChange: (open: boolean) => void; onOpenWorkflowAudit: (workflowRunId: number) => void; onQualityFeedbackSaved: (agentRunId: number) => void; t: (key: string) => string }) {
+  return <ProjectDialog open={open} onOpenChange={onOpenChange} size="xl" allowFullscreen defaultFullscreen title={<span className="flex items-center gap-2"><BotMessageSquareIcon className="size-4" />{t("agentRun.detailTitle")}</span>} description={run ? `Run #${run.id}` : t("agentRun.detailDescription")} footer={<Button variant="outline" onClick={() => onOpenChange(false)}>{t("agentRun.close")}</Button>}>
+    {loading ? <div className="py-10 text-sm text-muted-foreground">{t("agentRun.loadingDetail")}</div> : run ? <div className="space-y-4">
+		<div className="flex flex-wrap gap-2 rounded-md border bg-muted/20 px-3 py-2 text-xs"><Meta label={t("agentRun.engine")} value={run.engineCode} /><Meta label={t("agentRun.status")} value={run.status} /><Meta label={t("agentRun.agent")} value={`#${run.aiAgentId}`} /><Meta label={t("agentRun.revision")} value={`#${run.agentRevisionId || "-"}`} /><Meta label={t("agentRun.duration")} value={`${run.durationMs || 0} ms`} /><Meta label={t("agentRun.tokens")} value={`${run.promptTokens || 0}/${run.completionTokens || 0}`} /></div>
+		{run.workflowRunId > 0 ? <section className="flex items-center justify-between gap-3 border px-3 py-2"><div><div className="text-sm font-medium">关联 Playbook 审计</div><div className="text-xs text-muted-foreground">Workflow Run #{run.workflowRunId} 的节点输入、输出和状态</div></div><Button type="button" variant="outline" size="sm" onClick={() => onOpenWorkflowAudit(run.workflowRunId)}><WorkflowIcon />查看节点审计</Button></section> : null}
+		<QualityFeedbackPanel run={run} onSaved={onQualityFeedbackSaved} />
+      {run.errorMessage ? <div className="flex gap-2 rounded-md border border-destructive/30 bg-destructive/5 p-3 text-sm text-destructive"><AlertTriangleIcon className="size-4 shrink-0" />{run.errorMessage}</div> : null}
+      <Preview title={t("agentRun.trace")} raw={run.traceData} />
+      <section className="space-y-2"><h3 className="text-sm font-medium">{t("agentRun.steps")}</h3>{(run.steps ?? []).map((step) => <StepBlock key={step.id} step={step} t={t} />)}{!run.steps?.length ? <p className="text-sm text-muted-foreground">{t("agentRun.emptySteps")}</p> : null}</section>
+      <section className="space-y-2"><h3 className="text-sm font-medium">{t("agentRun.toolCalls")}</h3>{(run.toolCalls ?? []).map((call) => <ToolCallBlock key={call.id} call={call} t={t} />)}{!run.toolCalls?.length ? <p className="text-sm text-muted-foreground">{t("agentRun.emptyToolCalls")}</p> : null}</section>
+    </div> : <div className="py-10 text-sm text-muted-foreground">{t("agentRun.notFound")}</div>}
+  </ProjectDialog>
+}
+
+function QualityFeedbackPanel({ run, onSaved }: { run: AgentRun; onSaved: (agentRunId: number) => void }) {
+	const [resolutionStatus, setResolutionStatus] = useState<"unknown" | "resolved" | "unresolved">("unknown")
+	const [evidenceStatus, setEvidenceStatus] = useState<"unknown" | "supported" | "unsupported">("unknown")
+	const [comment, setComment] = useState("")
+	const [saving, setSaving] = useState(false)
+
+	useEffect(() => {
+		setResolutionStatus(run.qualityFeedback?.resolutionStatus ?? "unknown")
+		setEvidenceStatus(run.qualityFeedback?.evidenceStatus ?? "unknown")
+		setComment(run.qualityFeedback?.comment ?? "")
+	}, [run.id, run.qualityFeedback])
+
+	async function save() {
+		setSaving(true)
+		try {
+			await saveAgentRunQualityFeedback({ agentRunId: run.id, resolutionStatus, evidenceStatus, comment })
+			toast.success("质检结果已保存")
+			onSaved(run.id)
+		} catch (error) {
+			toast.error(error instanceof Error ? error.message : "保存质检结果失败")
+		} finally {
+			setSaving(false)
+		}
+	}
+
+	return <section className="space-y-3 border p-3"><div><h3 className="text-sm font-medium">运行质检</h3><p className="text-xs text-muted-foreground">解决率和无依据率仅统计已质检记录。</p></div><div className="grid gap-3 sm:grid-cols-2"><OptionCombobox value={resolutionStatus} placeholder="选择解决情况" options={[{ value: "unknown", label: "解决情况：未判断" }, { value: "resolved", label: "解决情况：已解决" }, { value: "unresolved", label: "解决情况：未解决" }]} onChange={(value) => setResolutionStatus(value === "resolved" || value === "unresolved" ? value : "unknown")} /><OptionCombobox value={evidenceStatus} placeholder="选择依据情况" options={[{ value: "unknown", label: "依据情况：未判断" }, { value: "supported", label: "依据情况：有依据" }, { value: "unsupported", label: "依据情况：无依据" }]} onChange={(value) => setEvidenceStatus(value === "supported" || value === "unsupported" ? value : "unknown")} /></div><Textarea rows={3} value={comment} onChange={(event) => setComment(event.target.value)} placeholder="质检备注" /><div className="flex items-center justify-between gap-3"><span className="text-xs text-muted-foreground">{run.qualityFeedback?.updatedAt ? `最近标注：${run.qualityFeedback.updatedAt}` : "尚未标注"}</span><Button type="button" size="sm" disabled={saving} onClick={save}>保存质检</Button></div></section>
+}
+
+function WorkflowAuditDialog({ open, loading, run, onOpenChange }: { open: boolean; loading: boolean; run: AIWorkflowRun | null; onOpenChange: (open: boolean) => void }) {
+	return <ProjectDialog open={open} onOpenChange={onOpenChange} size="xl" allowFullscreen defaultFullscreen title={<span className="flex items-center gap-2"><WorkflowIcon className="size-4" />Workflow 节点审计</span>} description={run ? `Workflow Run #${run.id}` : "加载关联 Playbook 的节点审计"} footer={<Button variant="outline" onClick={() => onOpenChange(false)}>关闭</Button>}>
+		{loading ? <div className="py-10 text-sm text-muted-foreground">加载节点审计中...</div> : run ? <div className="space-y-3"><div className="flex flex-wrap gap-2 rounded-md border bg-muted/20 px-3 py-2 text-xs"><Meta label="状态" value={run.statusName} /><Meta label="Workflow" value={run.workflowName || `#${run.workflowId}`} /><Meta label="版本" value={`v${run.workflowVersion || "-"}`} /><Meta label="时延" value={`${run.durationMs || 0} ms`} /></div>{run.errorMessage ? <div className="flex gap-2 rounded-md border border-destructive/30 bg-destructive/5 p-3 text-sm text-destructive"><AlertTriangleIcon className="size-4 shrink-0" />{run.errorMessage}</div> : null}<WorkflowRunAuditGraph run={run} /></div> : <div className="py-10 text-sm text-muted-foreground">未找到关联 Workflow Run。</div>}
+	</ProjectDialog>
+}
+
+function Meta({ label, value }: { label: string; value: string }) { return <span className="inline-flex items-center gap-1 rounded-md border bg-background px-2 py-1"><span className="text-muted-foreground">{label}</span><span className="font-medium">{value || "-"}</span></span> }
+function StepBlock({ step, t }: { step: AgentStep; t: (key: string) => string }) { return <div className="rounded-md border p-3"><div className="flex flex-wrap items-center gap-2"><Clock3Icon className="size-4 text-muted-foreground" /><span className="font-medium">{step.stepCode || step.stepType}</span><Badge variant={statusVariant(step.status)}>{step.status}</Badge><span className="text-xs text-muted-foreground">{step.durationMs || 0} ms</span></div>{step.errorMessage ? <p className="mt-2 text-xs text-destructive">{step.errorMessage}</p> : null}<div className="mt-3 grid gap-3 lg:grid-cols-2"><Preview title={t("agentRun.input")} raw={step.inputPreview} /><Preview title={t("agentRun.output")} raw={step.outputPreview} /></div></div> }
+function ToolCallBlock({ call, t }: { call: AgentToolCall; t: (key: string) => string }) { return <div className="rounded-md border p-3"><div className="flex flex-wrap items-center gap-2"><WrenchIcon className="size-4 text-muted-foreground" /><span className="font-medium">{call.toolCode}</span><Badge variant={statusVariant(call.status)}>{call.status}</Badge><span className="text-xs text-muted-foreground">{call.riskLevel}</span></div>{call.errorMessage ? <p className="mt-2 text-xs text-destructive">{call.errorMessage}</p> : null}<div className="mt-3 grid gap-3 lg:grid-cols-2"><Preview title={t("agentRun.arguments")} raw={call.argumentsPreview} /><Preview title={t("agentRun.result")} raw={call.resultPreview} /></div></div> }
+function Preview({ title, raw }: { title: string; raw: string }) { const value = parseJSON(raw); return <div className="min-w-0"><div className="mb-1 text-xs text-muted-foreground">{title}</div>{value !== null ? <JsonTreeViewer value={value} collapsed={2} /> : raw?.trim() ? <pre className="max-h-52 overflow-auto rounded-md border bg-muted/20 p-2 text-xs whitespace-pre-wrap break-all">{raw}</pre> : <div className="rounded-md border bg-muted/20 px-2 py-1.5 text-xs text-muted-foreground">-</div>}</div> }
+function parseJSON(raw: string): unknown | null { try { return raw?.trim() ? JSON.parse(raw) : null } catch { return null } }

web/app/dashboard/ai-agents/_components/config-workbench.tsx

@@ -6,6 +6,7 @@ import {
   GitBranchIcon,
   HistoryIcon,
   PlugIcon,
+	RotateCcwIcon,
   SaveIcon,
   SettingsIcon,
   Trash2Icon,
@@ -36,25 +37,34 @@ import { Textarea } from "@/components/ui/textarea"
 import {
   createAIAgent,
   fetchAIAgent,
+	fetchAIAgentRevisions,
   fetchAIAgentWorkflow,
   fetchAIConfigsAll,
+	fetchKnowledgeBasesAll,
   fetchAIWorkflowDefaultDefinition,
   fetchAIWorkflowNodeSpecs,
+	fetchAIWorkflowTemplates,
   fetchAIWorkflowVersions,
   fetchAgentTeamsAll,
   fetchMCPCatalog,
   fetchSkillDefinitionsAll,
   publishAIAgentWorkflow,
+	publishAIAgent,
+	rollbackAIAgent,
+	rollbackAIAgentRollout,
   saveAIAgentWorkflow,
   updateAIAgent,
   validateAIWorkflow,
   type AIAgent,
+	type AgentRevision,
   type AIConfig,
   type AIWorkflowDefinition,
   type AIWorkflowNodeSpec,
+	type AIWorkflowTemplate,
   type AIWorkflowVersion,
   type AdminAgentTeam,
   type CreateAIAgentPayload,
+	type KnowledgeBase,
   type MCPToolCatalogItem,
   type MCPToolSourceType,
   type SkillDefinition,
@@ -128,6 +138,7 @@ export function AIAgentConfigWorkbench({
   const [activeSection, setActiveSection] = useState<SectionKey>("basic")
   const [agent, setAgent] = useState<AIAgent | null>(null)
   const [workflowVersions, setWorkflowVersions] = useState<AIWorkflowVersion[]>([])
+	const [agentRevisions, setAgentRevisions] = useState<AgentRevision[]>([])
   const [nodeSpecs, setNodeSpecs] = useState<AIWorkflowNodeSpec[]>([])
   const [loading, setLoading] = useState(true)
   const [savingAgent, setSavingAgent] = useState(false)
@@ -137,28 +148,36 @@ export function AIAgentConfigWorkbench({
   const [name, setName] = useState("")
   const [description, setDescription] = useState("")
   const [aiConfigId, setAIConfigId] = useState("")
+	const [runtimeMode, setRuntimeMode] = useState<"workflow" | "autonomous" | "hybrid">("autonomous")
   const [serviceMode, setServiceMode] = useState(String(IMConversationServiceMode.AIFirst))
   const [systemPrompt, setSystemPrompt] = useState("")
   const [welcomeMessage, setWelcomeMessage] = useState("")
   const [replyTimeoutSeconds, setReplyTimeoutSeconds] = useState("180")
+	const [rolloutPercent, setRolloutPercent] = useState("5")
   const [handoffMode, setHandoffMode] = useState(String(AIAgentHandoffMode.WaitPool))
   const [fallbackMode, setFallbackMode] = useState(String(AIAgentFallbackMode.NoAnswer))
   const [fallbackMessage, setFallbackMessage] = useState("")
   const [selectedTeamIds, setSelectedTeamIds] = useState<number[]>([])
   const [selectedSkillIds, setSelectedSkillIds] = useState<number[]>([])
+	const [selectedKnowledgeBaseIds, setSelectedKnowledgeBaseIds] = useState<number[]>([])
   const [directTools, setDirectTools] = useState<DirectToolItem[]>([])
 
   const [definition, setDefinition] = useState<AIWorkflowDefinition>(fallbackDefinition)
   const [workflowRevision, setWorkflowRevision] = useState(0)
+	const [workflowTemplates, setWorkflowTemplates] = useState<AIWorkflowTemplate[]>([])
+	const [selectedWorkflowTemplate, setSelectedWorkflowTemplate] = useState("")
 
   const [aiConfigs, setAIConfigs] = useState<AIConfig[]>([])
   const [agentTeams, setAgentTeams] = useState<AdminAgentTeam[]>([])
   const [skills, setSkills] = useState<SkillDefinition[]>([])
+	const [knowledgeBases, setKnowledgeBases] = useState<KnowledgeBase[]>([])
   const [toolCatalog, setToolCatalog] = useState<MCPToolCatalogItem[]>([])
   const [teamToAdd, setTeamToAdd] = useState("")
   const [skillToAdd, setSkillToAdd] = useState("")
+	const [knowledgeBaseToAdd, setKnowledgeBaseToAdd] = useState("")
   const [directToolGroupToAdd, setDirectToolGroupToAdd] = useState("")
   const [directToolToAdd, setDirectToolToAdd] = useState("")
+	const previousRolloutPercent = agent?.previousRolloutPercent ?? 0
 
   useEffect(() => {
     setCurrentAgentId(agentId ?? null)
@@ -175,51 +194,63 @@ export function AIAgentConfigWorkbench({
       const [
         specs,
         defaultDefinition,
+		templates,
         configs,
         teams,
         skillList,
+		knowledgeBaseList,
         catalog,
       ] = await Promise.all([
         fetchAIWorkflowNodeSpecs(),
         fetchAIWorkflowDefaultDefinition().catch(() => fallbackDefinition),
+		fetchAIWorkflowTemplates(),
         fetchAIConfigsAll({ modelType: AIModelType.LLM }),
         fetchAgentTeamsAll(),
         fetchSkillDefinitionsAll({ status: Status.Ok }),
+		fetchKnowledgeBasesAll({ status: Status.Ok }),
         fetchMCPCatalog(),
       ])
 
       setNodeSpecs(specs ?? [])
+		setWorkflowTemplates(templates ?? [])
       setAIConfigs(configs ?? [])
       setAgentTeams(teams ?? [])
       setSkills(skillList ?? [])
+		setKnowledgeBases(knowledgeBaseList ?? [])
       setToolCatalog(catalog ?? [])
 
       if (!currentAgentId || currentAgentId <= 0) {
         setAgent(null)
         setWorkflowVersions([])
+		setAgentRevisions([])
         setName("")
         setDescription("")
-        setAIConfigId("")
+		setAIConfigId("")
+		setRuntimeMode("autonomous")
         setServiceMode(String(IMConversationServiceMode.AIFirst))
         setSystemPrompt("")
         setWelcomeMessage("")
         setReplyTimeoutSeconds("180")
+		setRolloutPercent("5")
         setHandoffMode(String(AIAgentHandoffMode.WaitPool))
         setFallbackMode(String(AIAgentFallbackMode.NoAnswer))
         setFallbackMessage("")
         setSelectedTeamIds([])
         setSelectedSkillIds([])
+		setSelectedKnowledgeBaseIds([])
         setDirectTools([])
         replaceWorkflowDefinition(defaultDefinition ?? fallbackDefinition)
         return
       }
 
-      const [agentDetail, workflowDetail] = await Promise.all([
+      const [agentDetail, workflowDetail, revisionList] = await Promise.all([
         fetchAIAgent(currentAgentId),
         fetchAIAgentWorkflow(currentAgentId),
+		fetchAIAgentRevisions(currentAgentId),
       ])
 
       setAgent(agentDetail)
+		setAgentRevisions(revisionList ?? [])
       if (workflowDetail?.id > 0) {
         const versionPage = await fetchAIWorkflowVersions({ workflowId: workflowDetail.id, limit: 20 })
         setWorkflowVersions(versionPage.results ?? [])
@@ -228,16 +259,19 @@ export function AIAgentConfigWorkbench({
       }
       setName(agentDetail.name)
       setDescription(agentDetail.description || "")
-      setAIConfigId(toText(agentDetail.aiConfigId))
+		setAIConfigId(toText(agentDetail.aiConfigId))
+		setRuntimeMode(agentDetail.runtimeMode === "autonomous" || agentDetail.runtimeMode === "hybrid" ? agentDetail.runtimeMode : "workflow")
       setServiceMode(String(agentDetail.serviceMode || IMConversationServiceMode.AIFirst))
       setSystemPrompt(agentDetail.systemPrompt || "")
       setWelcomeMessage(agentDetail.welcomeMessage || "")
       setReplyTimeoutSeconds(String(agentDetail.replyTimeoutSeconds ?? 180))
+		setRolloutPercent(String(agentDetail.rolloutPercent || 100))
       setHandoffMode(String(agentDetail.handoffMode || AIAgentHandoffMode.WaitPool))
       setFallbackMode(String(agentDetail.fallbackMode || AIAgentFallbackMode.NoAnswer))
       setFallbackMessage(agentDetail.fallbackMessage || "")
       setSelectedTeamIds((agentDetail.teams ?? []).map((team) => team.id))
       setSelectedSkillIds(agentDetail.skillIds ?? [])
+		setSelectedKnowledgeBaseIds(agentDetail.knowledgeBaseIds ?? [])
       setDirectTools(agentDetail.directTools ?? [])
       replaceWorkflowDefinition(workflowDetail.draftDefinition ?? defaultDefinition ?? fallbackDefinition)
     } catch (error) {
@@ -259,6 +293,14 @@ export function AIAgentConfigWorkbench({
     ],
     []
   )
+	const runtimeModeOptions = useMemo(
+		() => [
+			{ value: "autonomous", label: "自主接待" },
+			{ value: "hybrid", label: "自主接待 + 流程" },
+			{ value: "workflow", label: "高级编排 / Playbooks" },
+		],
+		[]
+	)
   const handoffModeOptions = useMemo(
     () => [
       { value: String(AIAgentHandoffMode.WaitPool), label: "进入待接入池" },
@@ -271,6 +313,7 @@ export function AIAgentConfigWorkbench({
     () => [
       { value: String(AIAgentFallbackMode.NoAnswer), label: "直接说明知识不足" },
       { value: String(AIAgentFallbackMode.SuggestRetry), label: "引导用户补充信息" },
+			{ value: String(AIAgentFallbackMode.Handoff), label: "转人工客服" },
     ],
     []
   )
@@ -286,10 +329,18 @@ export function AIAgentConfigWorkbench({
     () => skills.map((item) => ({ value: String(item.id), label: item.name })),
     [skills]
   )
+	const knowledgeBaseOptions = useMemo(
+		() => knowledgeBases.map((item) => ({ value: String(item.id), label: item.name })),
+		[knowledgeBases]
+	)
   const directToolOptions = useMemo<DirectToolOption[]>(
     () =>
       toolCatalog
-        .filter((tool) => !tool.autoInjected && tool.sourceType === "mcp")
+        .filter(
+          (tool) =>
+            !tool.autoInjected &&
+            (tool.sourceType === "mcp" || tool.toolCode === "builtin/conversation_context" || tool.toolCode === "graph/prepare_ticket_draft")
+        )
         .map((tool) => ({
           value: tool.toolCode,
           label: `${tool.title || tool.toolName} · ${tool.toolCode}`,
@@ -356,14 +407,17 @@ export function AIAgentConfigWorkbench({
       name: name.trim(),
       description: description.trim(),
       aiConfigId: Number(aiConfigId),
+		runtimeMode,
       serviceMode: Number(serviceMode),
       systemPrompt: systemPrompt.trim(),
       welcomeMessage: welcomeMessage.trim(),
       replyTimeoutSeconds: Number(replyTimeoutSeconds),
+		rolloutPercent: Number(rolloutPercent),
       teamIds: uniqueNumbers(selectedTeamIds),
       handoffMode: Number(handoffMode),
       fallbackMode: Number(fallbackMode),
       fallbackMessage: fallbackMessage.trim(),
+		knowledgeBaseIds: uniqueNumbers(selectedKnowledgeBaseIds),
       skillIds: uniqueNumbers(selectedSkillIds),
       directTools,
     }
@@ -392,6 +446,20 @@ export function AIAgentConfigWorkbench({
     }
   }
 
+  async function publishAutonomousAgent() {
+		if (!agent || runtimeMode !== "autonomous") return
+		setSavingAgent(true)
+		try {
+			await publishAIAgent(agent.id)
+			await loadData()
+			toast.success("Autonomous Agent published")
+		} catch (error) {
+			toast.error(error instanceof Error ? error.message : "Failed to publish Autonomous Agent")
+		} finally {
+			setSavingAgent(false)
+		}
+	}
+
   async function saveWorkflowDraft() {
     if (!currentAgentId) return
     setSavingWorkflow(true)
@@ -410,6 +478,36 @@ export function AIAgentConfigWorkbench({
     }
   }
 
+	async function rollbackAgentRevision(revisionId: number) {
+		if (!agent || revisionId <= 0 || revisionId === agent.publishedRevisionId) return
+		setSavingAgent(true)
+		try {
+			await rollbackAIAgent(agent.id, revisionId)
+			toast.success("已回滚到选中的 Agent 版本")
+			await loadData()
+			onAgentSaved?.()
+		} catch (error) {
+			toast.error(error instanceof Error ? error.message : "回滚 Agent 版本失败")
+		} finally {
+			setSavingAgent(false)
+		}
+	}
+
+	async function rollbackAgentRollout() {
+		if (!agent || agent.previousRolloutPercent < 1) return
+		setSavingAgent(true)
+		try {
+			await rollbackAIAgentRollout(agent.id)
+			toast.success("已恢复上一次灰度比例")
+			await loadData()
+			onAgentSaved?.()
+		} catch (error) {
+			toast.error(error instanceof Error ? error.message : "恢复灰度比例失败")
+		} finally {
+			setSavingAgent(false)
+		}
+	}
+
   async function validateWorkflowDraft() {
     setSavingWorkflow(true)
     try {
@@ -438,6 +536,13 @@ export function AIAgentConfigWorkbench({
     }
   }
 
+	function applySelectedWorkflowTemplate() {
+		const template = workflowTemplates.find((item) => item.code === selectedWorkflowTemplate)
+		if (!template) return
+		replaceWorkflowDefinition(template.definition)
+		toast.success(`已应用 ${template.name} 模板，保存草稿或发布后生效`)
+	}
+
   async function publishWorkflow() {
     if (!currentAgentId) return
     setSavingWorkflow(true)
@@ -475,13 +580,16 @@ export function AIAgentConfigWorkbench({
   const sections: { key: SectionKey; title: string; icon: ReactNode }[] = [
     { key: "basic", title: "基础信息", icon: <SettingsIcon /> },
     { key: "capabilities", title: "能力来源", icon: <PlugIcon /> },
-    { key: "workflow", title: "会话流程", icon: <GitBranchIcon /> },
+	{ key: "workflow", title: "高级编排 / Playbooks", icon: <GitBranchIcon /> },
   ]
 
   const selectedTeamOptions = selectedOptions(selectedTeamIds, teamOptions)
   const selectedSkillOptions = selectedOptions(selectedSkillIds, skillOptions)
   const workflowPublished = isWorkflowPublished(agent)
-  const workflowStateText =
+	const autonomousPublished = runtimeMode === "autonomous" && (agent?.publishedRevisionId ?? 0) > 0
+	const hybridPublished = runtimeMode === "hybrid" && workflowPublished && (agent?.publishedRevisionId ?? 0) > 0
+	const runtimePublished = runtimeMode === "workflow" ? workflowPublished : runtimeMode === "hybrid" ? hybridPublished : autonomousPublished
+	const workflowStateText =
     agent?.workflowStateText || (workflowPublished ? "已发布" : "未发布")
 
   return (
@@ -494,8 +602,8 @@ export function AIAgentConfigWorkbench({
           <div className="flex min-w-0 items-center gap-2">
             <h1 className="truncate text-base font-semibold">{agent?.name ?? "新建 AI Agent"}</h1>
             {agent?.statusName ? <Badge variant="secondary">{agent.statusName}</Badge> : null}
-            <Badge variant={workflowPublished ? "default" : "outline"}>
-              {workflowStateText}
+            <Badge variant={runtimePublished ? "default" : "outline"}>
+	              {runtimeMode === "autonomous" ? (autonomousPublished ? "已发布" : "未发布") : runtimeMode === "hybrid" ? (hybridPublished ? "已发布" : "未发布") : workflowStateText}
             </Badge>
             {workflowPublished ? (
               <Badge variant="secondary">当前生效 #{agent?.workflowVersionId}</Badge>
@@ -507,6 +615,7 @@ export function AIAgentConfigWorkbench({
             null
           ) : (
             <>
+			  {agent && runtimeMode === "autonomous" ? <Button type="button" variant="outline" disabled={savingAgent || loading} onClick={publishAutonomousAgent}>发布 Agent</Button> : null}
               <Button
                 type="button"
                 variant="outline"
@@ -522,9 +631,9 @@ export function AIAgentConfigWorkbench({
       </div>
 
       <div className="flex min-h-0 flex-1 flex-col bg-background">
-        {agent && !workflowPublished ? (
+        {agent && !runtimePublished ? (
           <div className="shrink-0 border-b border-amber-200 bg-amber-50 px-5 py-2 text-sm text-amber-900">
-            未发布流程，AI 不会自动回复。保存配置后请进入“会话流程”发布一个版本，再绑定渠道或启用自动回复。
+			{runtimeMode === "autonomous" ? "未发布 Agent，AI 不会自动回复。保存配置后发布 Agent，再绑定渠道或启用自动回复。" : runtimeMode === "hybrid" ? "未发布 Hybrid Agent，AI 不会自动回复。保存配置后请进入“高级编排 / Playbooks”发布一个版本。" : "未发布 Playbook，AI 不会自动回复。保存配置后请进入“高级编排 / Playbooks”发布一个版本，再绑定渠道或启用自动回复。"}
           </div>
         ) : null}
         <div className="shrink-0 border-b bg-muted/30 px-4 py-2">
@@ -597,6 +706,9 @@ export function AIAgentConfigWorkbench({
                         onChange={setAIConfigId}
                       />
                     </FieldBlock>
+					<FieldBlock label="运行模式">
+					  <OptionCombobox value={runtimeMode} options={runtimeModeOptions} placeholder="选择运行模式" onChange={(value) => setRuntimeMode(value === "autonomous" || value === "hybrid" ? value : "workflow")} />
+					</FieldBlock>
                     <FieldBlock label="回复超时秒数">
                       <Input
                         type="number"
@@ -606,6 +718,17 @@ export function AIAgentConfigWorkbench({
                         onChange={(event) => setReplyTimeoutSeconds(event.target.value)}
                       />
                     </FieldBlock>
+					<FieldBlock label="会话灰度比例（%）">
+					  <div className="flex items-center gap-2">
+						<Input type="number" min={1} max={100} step={1} value={rolloutPercent} onChange={(event) => setRolloutPercent(event.target.value)} />
+						{previousRolloutPercent > 0 ? (
+						  <Button type="button" variant="outline" size="sm" disabled={savingAgent} onClick={rollbackAgentRollout}>
+							<RotateCcwIcon />
+							恢复 {previousRolloutPercent}%
+						  </Button>
+						) : null}
+					  </div>
+					</FieldBlock>
                   </div>
                   <FieldBlock label="系统提示词">
                     <ContentEditor
@@ -657,6 +780,23 @@ export function AIAgentConfigWorkbench({
 
               {activeSection === "capabilities" ? (
                 <ConfigSection>
+				  <div className="text-sm font-medium">知识库</div>
+				  <AddRow
+					value={knowledgeBaseToAdd}
+					options={knowledgeBaseOptions.filter((option) => !selectedKnowledgeBaseIds.includes(Number(option.value)))}
+					placeholder="选择知识库"
+					onValueChange={setKnowledgeBaseToAdd}
+					onAdd={() => {
+					  addSelected(knowledgeBaseToAdd, selectedKnowledgeBaseIds, setSelectedKnowledgeBaseIds)
+					  setKnowledgeBaseToAdd("")
+					}}
+				  />
+				  <BadgeList empty="未配置知识库。" items={selectedOptions(selectedKnowledgeBaseIds, knowledgeBaseOptions)} onRemove={(id) => setSelectedKnowledgeBaseIds((current) => current.filter((item) => item !== id))} />
+				</ConfigSection>
+			  ) : null}
+
+			  {activeSection === "capabilities" ? (
+				<ConfigSection>
                   <AddRow
                     value={skillToAdd}
                     options={skillOptions.filter((option) => !selectedSkillIds.includes(Number(option.value)))}
@@ -730,7 +870,19 @@ export function AIAgentConfigWorkbench({
               ) : null}
 
               {activeSection === "workflow" ? (
-                <WorkflowEditor
+                <div className="flex min-h-0 flex-1 flex-col">
+                  <div className="flex shrink-0 items-center gap-2 border-b px-4 py-2">
+                    <OptionCombobox
+                      value={selectedWorkflowTemplate}
+                      options={workflowTemplates.map((item) => ({ value: item.code, label: item.name }))}
+                      placeholder="选择 Playbook 模板"
+                      onChange={setSelectedWorkflowTemplate}
+                    />
+                    <Button type="button" variant="outline" size="sm" disabled={!selectedWorkflowTemplate || savingWorkflow || loading} onClick={applySelectedWorkflowTemplate}>
+                      应用模板
+                    </Button>
+                  </div>
+                  <WorkflowEditor
                   key={workflowRevision}
                   definition={definition}
                   nodeSpecs={nodeSpecs}
@@ -756,7 +908,8 @@ export function AIAgentConfigWorkbench({
                       版本记录
                     </Button>
                   }
-                />
+                  />
+                </div>
               ) : null}
 
               <Dialog open={versionDialogOpen} onOpenChange={setVersionDialogOpen}>
@@ -767,6 +920,9 @@ export function AIAgentConfigWorkbench({
                   <VersionRecordsTable
                     agent={agent}
                     workflowVersions={workflowVersions}
+					agentRevisions={agentRevisions}
+					onRollback={rollbackAgentRevision}
+					rollbackDisabled={savingAgent || loading}
                   />
                 </DialogContent>
               </Dialog>
@@ -828,12 +984,52 @@ function AddRow({
 function VersionRecordsTable({
   agent,
   workflowVersions,
+	agentRevisions,
+	onRollback,
+	rollbackDisabled,
 }: {
   agent: AIAgent | null
   workflowVersions: AIWorkflowVersion[]
+	agentRevisions: AgentRevision[]
+	onRollback: (revisionId: number) => void
+	rollbackDisabled: boolean
 }) {
   return (
-    <div className="max-h-[60vh] overflow-auto rounded-md border">
+		<div className="max-h-[60vh] space-y-4 overflow-auto">
+			<div className="rounded-md border">
+				<div className="border-b px-3 py-2 text-sm font-medium">Agent 版本</div>
+				{agentRevisions.length > 0 ? (
+					<Table>
+						<TableHeader className="bg-muted/40">
+							<TableRow>
+								<TableHead className="w-28">版本</TableHead>
+								<TableHead>发布时间</TableHead>
+								<TableHead>发布人</TableHead>
+								<TableHead>关联流程</TableHead>
+								<TableHead className="text-right">操作</TableHead>
+							</TableRow>
+						</TableHeader>
+						<TableBody>
+							{agentRevisions.map((revision) => {
+								const active = agent?.publishedRevisionId === revision.id
+								return (
+									<TableRow key={revision.id}>
+										<TableCell className="font-medium">r{revision.revision}{active ? <Badge variant="secondary" className="ml-2">当前生效</Badge> : null}</TableCell>
+										<TableCell className="text-muted-foreground">{revision.publishedAt || "-"}</TableCell>
+										<TableCell>{revision.publishedByName || "-"}</TableCell>
+										<TableCell>{revision.workflowVersionId > 0 ? `#${revision.workflowVersionId}` : "-"}</TableCell>
+										<TableCell className="text-right">
+											<Button type="button" variant="outline" size="sm" disabled={active || rollbackDisabled} onClick={() => onRollback(revision.id)}>回滚</Button>
+										</TableCell>
+									</TableRow>
+								)
+							})}
+						</TableBody>
+					</Table>
+				) : <div className="p-4 text-sm text-muted-foreground">暂无已发布 Agent 版本。</div>}
+			</div>
+			<div className="rounded-md border">
+				<div className="border-b px-3 py-2 text-sm font-medium">流程版本</div>
       {workflowVersions.length > 0 ? (
         <Table>
           <TableHeader className="bg-muted/40">
@@ -875,6 +1071,7 @@ function VersionRecordsTable({
       ) : (
         <div className="p-4 text-sm text-muted-foreground">暂无已发布版本。</div>
       )}
+			</div>
     </div>
   )
 }

web/app/dashboard/ai-agents/page.tsx

@@ -122,7 +122,7 @@ export default function DashboardAIAgentsPage() {
       },
       {
         key: "workflow",
-        label: "流程状态",
+        label: "Playbook 状态",
         render: (item) => {
           const published = isWorkflowPublished(item);
           return (
@@ -139,7 +139,7 @@ export default function DashboardAIAgentsPage() {
               </div>
               {!published ? (
                 <div className="text-xs text-muted-foreground">
-                  未发布流程，AI 不会自动回复
+                  未发布 Playbook，AI 不会自动回复
                 </div>
               ) : (
                 <div className="text-xs text-muted-foreground">

web/app/dashboard/channels/_components/edit.tsx

@@ -4,7 +4,7 @@ import { useEffect, useMemo, useState } from "react"
 import { zodResolver } from "@hookform/resolvers/zod"
 import { Controller, Resolver, useForm, useWatch } from "react-hook-form"
 import { z } from "zod/v4"
-import { CopyIcon, ExternalLinkIcon } from "lucide-react"
+import { CopyIcon, ExternalLinkIcon, RotateCcwIcon } from "lucide-react"
 import { toast } from "sonner"
 
 import { getWidgetDemoPath } from "@/components/support-chat/demo-navigation"
@@ -28,6 +28,7 @@ import {
   fetchAIAgentsAll,
   fetchChannel,
   fetchWxWorkKFAccounts,
+	rollbackChannelAIAgentRollout,
   resetChannelUserTokenSecret,
 } from "@/lib/api/admin"
 import { useI18n } from "@/i18n/provider"
@@ -74,6 +75,7 @@ function createSchema(t: Translate) {
     .object({
       channelType: z.enum(["web", "wechat_mp", "wxwork_kf"], t("channel.typeRequired")),
       aiAgentId: z.string().trim().regex(/^\d+$/, t("channel.agentRequired")),
+		aiAgentRolloutPercent: z.coerce.number().int().min(1).max(100),
       name: z.string().trim().min(1, t("channel.nameRequired")),
       openKfId: z.string().trim(),
       widgetTitle: z.string().trim(),
@@ -98,6 +100,7 @@ function createSchema(t: Translate) {
 type EditForm = {
   channelType: "web" | "wechat_mp" | "wxwork_kf"
   aiAgentId: string
+	aiAgentRolloutPercent: number
   name: string
   openKfId: string
   widgetTitle: string
@@ -114,6 +117,7 @@ function createEmptyForm(t: Translate): EditForm {
   return {
     channelType: "web",
     aiAgentId: "",
+		aiAgentRolloutPercent: 100,
     name: "",
     openKfId: "",
     widgetTitle: defaultWebChannelConfig.title,
@@ -202,6 +206,7 @@ function buildForm(item: AdminChannel | null, t: Translate): EditForm {
           ? "wechat_mp"
           : "web",
     aiAgentId: item.aiAgentId > 0 ? String(item.aiAgentId) : "",
+		aiAgentRolloutPercent: item.aiAgentRolloutPercent || 100,
     name: item.name,
     openKfId: parseOpenKfId(item.configJson),
     widgetTitle: wechatConfig?.title ?? webConfig.title,
@@ -240,6 +245,7 @@ function buildPayload(form: EditForm, status: number, t: Translate): CreateAdmin
   return {
     channelType,
     aiAgentId: Number(form.aiAgentId),
+		aiAgentRolloutPercent: form.aiAgentRolloutPercent,
     name: form.name.trim(),
     configJson,
     status,
@@ -247,8 +253,15 @@ function buildPayload(form: EditForm, status: number, t: Translate): CreateAdmin
   }
 }
 
-function isAgentWorkflowPublished(agent: AIAgent | undefined) {
-  return Boolean(agent?.workflowPublished ?? (agent?.workflowVersionId ?? 0) > 0)
+function isAgentChannelBindable(agent: AIAgent | undefined) {
+  if (!agent) return false
+  if (agent.runtimeMode === "autonomous") {
+    return agent.publishedRevisionId > 0
+  }
+  if (agent.runtimeMode === "hybrid") {
+    return agent.publishedRevisionId > 0 && agent.workflowVersionId > 0
+  }
+  return Boolean(agent.workflowPublished ?? agent.workflowVersionId > 0)
 }
 
 type ChannelFormBodyProps = Omit<ChannelFormDialogProps, "open">
@@ -300,6 +313,7 @@ function ChannelFormBody({
   const [wxWorkKFAccountsLoading, setWxWorkKFAccountsLoading] = useState(false)
   const [wxWorkKFAccountsError, setWxWorkKFAccountsError] = useState("")
   const [channelDetail, setChannelDetail] = useState<AdminChannel | null>(null)
+	const [rollingBackRollout, setRollingBackRollout] = useState(false)
   const [currentStatus, setCurrentStatus] = useState(0)
   const form = useForm<
     z.input<typeof schema>,
@@ -321,6 +335,26 @@ function ChannelFormBody({
   const aiAgentId = useWatch({ control, name: "aiAgentId" })
   const openKfId = useWatch({ control, name: "openKfId" })
   const userTokenSecret = useWatch({ control, name: "userTokenSecret" })
+	const previousRolloutPercent = channelDetail?.previousAiAgentRolloutPercent ?? 0
+
+	async function rollbackRolloutPercent() {
+		if (!channelDetail || previousRolloutPercent < 1) return
+		setRollingBackRollout(true)
+		try {
+			await rollbackChannelAIAgentRollout(channelDetail.id)
+			setValue("aiAgentRolloutPercent", previousRolloutPercent)
+			setChannelDetail({
+				...channelDetail,
+				aiAgentRolloutPercent: previousRolloutPercent,
+				previousAiAgentRolloutPercent: channelDetail.aiAgentRolloutPercent,
+			})
+			toast.success("已恢复上一次渠道灰度比例")
+		} catch (error) {
+			toast.error(error instanceof Error ? error.message : "恢复渠道灰度比例失败")
+		} finally {
+			setRollingBackRollout(false)
+		}
+	}
 
   useEffect(() => {
     async function loadAIAgents() {
@@ -392,11 +426,11 @@ function ChannelFormBody({
 
   const selectedAIAgent = aiAgents.find((item) => String(item.id) === aiAgentId)
   const availableAIAgents = aiAgents.filter(
-    (item) => isAgentWorkflowPublished(item) || String(item.id) === aiAgentId
+    (item) => isAgentChannelBindable(item) || String(item.id) === aiAgentId
   )
   const aiAgentOptions = availableAIAgents.map((item) => ({
     value: String(item.id),
-    label: isAgentWorkflowPublished(item)
+    label: isAgentChannelBindable(item)
       ? `${item.name} · 当前生效 #${item.workflowVersionId}`
       : `${item.name} · 未发布`,
   }))
@@ -426,8 +460,8 @@ function ChannelFormBody({
 
   async function onFormSubmit(values: EditForm) {
     const selected = aiAgents.find((item) => String(item.id) === values.aiAgentId)
-    if (!isAgentWorkflowPublished(selected)) {
-      toast.error("该 Agent 尚未发布流程，不能绑定渠道")
+	if (!isAgentChannelBindable(selected)) {
+		toast.error("该 Agent 尚未完成发布，不能绑定渠道")
       return
     }
     await onSubmit(buildPayload(values, currentStatus, t))
@@ -521,23 +555,39 @@ function ChannelFormBody({
                     />
                   )}
                 />
-                {selectedAIAgent && !isAgentWorkflowPublished(selectedAIAgent) ? (
+                {selectedAIAgent && !isAgentChannelBindable(selectedAIAgent) ? (
                   <div className="rounded-md border border-amber-200 bg-amber-50 px-3 py-2 text-xs text-amber-900">
                     该 Agent 尚未发布流程，AI 不会自动回复。请先在 Agent 配置中发布流程版本。
                   </div>
                 ) : null}
-                {selectedAIAgent && isAgentWorkflowPublished(selectedAIAgent) ? (
+                {selectedAIAgent && isAgentChannelBindable(selectedAIAgent) ? (
                   <div className="flex items-center gap-2 text-xs text-muted-foreground">
                     <Badge variant="secondary">
-                      {selectedAIAgent.workflowStateText || "已发布"}
+						{selectedAIAgent.runtimeMode === "autonomous" ? "已发布" : selectedAIAgent.workflowStateText || "已发布"}
                     </Badge>
-                    <span>当前生效版本 #{selectedAIAgent.workflowVersionId}</span>
+					<span>{selectedAIAgent.runtimeMode === "autonomous" ? `当前版本 #${selectedAIAgent.publishedRevisionId}` : `当前生效版本 #${selectedAIAgent.workflowVersionId}`}</span>
                   </div>
                 ) : null}
                 <FieldError errors={[errors.aiAgentId]} />
               </FieldContent>
             </Field>
 
+            <Field data-invalid={!!errors.aiAgentRolloutPercent}>
+              <FieldLabel htmlFor="channel-ai-agent-rollout">AI 灰度比例（%）</FieldLabel>
+              <FieldContent>
+                <div className="flex items-center gap-2">
+                  <Input id="channel-ai-agent-rollout" type="number" min={1} max={100} step={1} {...register("aiAgentRolloutPercent")} />
+                  {previousRolloutPercent > 0 ? (
+                    <Button type="button" variant="outline" size="sm" disabled={saving || rollingBackRollout} onClick={rollbackRolloutPercent}>
+                      <RotateCcwIcon />
+                      恢复 {previousRolloutPercent}%
+                    </Button>
+                  ) : null}
+                </div>
+                <FieldError errors={[errors.aiAgentRolloutPercent]} />
+              </FieldContent>
+            </Field>
+
             <Field data-invalid={!!errors.channelType}>
               <FieldLabel>{t("channel.channelType")}</FieldLabel>
               <FieldContent>

web/lib/api/admin.ts

@@ -177,6 +177,8 @@ export type AdminChannel = {
   channelType: string
   channelId: string
   aiAgentId: number
+  aiAgentRolloutPercent: number
+	previousAiAgentRolloutPercent: number
   aiAgentName?: string
   name: string
   configJson: string
@@ -194,6 +196,7 @@ export type WxWorkKFAccount = {
 export type CreateAdminChannelPayload = {
   channelType: string
   aiAgentId: number
+  aiAgentRolloutPercent: number
   name: string
   configJson: string
   status: number
@@ -216,17 +219,26 @@ export type AIAgent = {
   statusName: string
   aiConfigId: number
   aiConfigName?: string
+	runtimeMode: "workflow" | "autonomous" | "hybrid"
+	runtimeModeName: string
+	maxSteps: number
+	contextWindow: number
+	toolPolicy: string
+	knowledgePolicy: string
   serviceMode: number
   serviceModeName: string
   systemPrompt: string
   welcomeMessage: string
   replyTimeoutSeconds: number
+  rolloutPercent: number
+  previousRolloutPercent: number
   teams: { id: number; name: string }[]
   handoffMode: number
   handoffModeName: string
   fallbackMode: number
   fallbackModeName: string
   fallbackMessage: string
+	knowledgeBaseIds: number[]
   skillIds: number[]
   skills: { id: number; name: string }[]
   directTools: {
@@ -238,6 +250,7 @@ export type AIAgent = {
     arguments?: Record<string, string>
   }[]
   workflowVersionId: number
+	publishedRevisionId: number
   workflowPublished: boolean
   workflowState: string
   workflowStateText: string
@@ -252,14 +265,21 @@ export type CreateAIAgentPayload = {
   name: string
   description: string
   aiConfigId: number
+  runtimeMode?: "workflow" | "autonomous" | "hybrid"
+	maxSteps?: number
+	contextWindow?: number
+	toolPolicy?: string
+	knowledgePolicy?: string
   serviceMode: number
   systemPrompt: string
   welcomeMessage: string
   replyTimeoutSeconds: number
+  rolloutPercent: number
   teamIds: number[]
   handoffMode: number
   fallbackMode: number
   fallbackMessage: string
+	knowledgeBaseIds: number[]
   skillIds: number[]
   directTools: {
     toolCode: string
@@ -275,6 +295,18 @@ export type UpdateAIAgentPayload = CreateAIAgentPayload & {
   id: number
 }
 
+export type AgentRevision = {
+  id: number
+  agentId: number
+  revision: number
+  workflowVersionId: number
+  status: number
+  definitionHash: string
+  publishedAt: string
+  publishedById: number
+  publishedByName: string
+}
+
 export type AIWorkflowPosition = {
   x: number
   y: number
@@ -387,6 +419,13 @@ export type AIWorkflowNodeSpec = {
   defaultInputs?: Record<string, AIWorkflowValue>
 }
 
+export type AIWorkflowTemplate = {
+  code: string
+  name: string
+  description: string
+  definition: AIWorkflowDefinition
+}
+
 export type AIWorkflowValidationResult = {
   valid: boolean
   errors: {
@@ -568,6 +607,123 @@ export type AIWorkflowRun = {
   nodes?: AIWorkflowNodeRun[]
 }
 
+export type AgentRun = {
+  id: number
+  conversationId: number
+  aiAgentId: number
+  agentRevisionId: number
+  sourceMessageId: number
+  workflowRunId: number
+  engineCode: string
+  status: string
+  promptTokens: number
+  completionTokens: number
+  startedAt: string
+  endedAt: string
+  durationMs: number
+  errorMessage: string
+  traceData: string
+  createdAt: string
+  updatedAt: string
+  steps?: AgentStep[]
+  toolCalls?: AgentToolCall[]
+	qualityFeedback?: AgentRunQualityFeedback
+}
+
+export type AgentRunQualityFeedback = {
+	id: number
+	agentRunId: number
+	resolutionStatus: "unknown" | "resolved" | "unresolved"
+	evidenceStatus: "unknown" | "supported" | "unsupported"
+	comment: string
+	updateUserName: string
+	updatedAt: string
+}
+
+export type AgentRunMetrics = {
+  totalRuns: number
+  completedRuns: number
+  failedRuns: number
+  interruptedRuns: number
+  completionRate: number
+  toolCalls: number
+  toolSuccessRate: number
+  averageSteps: number
+  averageDurationMs: number
+  p95DurationMs: number
+  promptTokens: number
+  completionTokens: number
+	  handoffRate: number
+	  knowledgeFallbackRate: number
+	resumedInterrupts: number
+	resolvedInterrupts: number
+	interruptRecoveryRate: number
+	reviewedRuns: number
+	resolvedRuns: number
+	resolutionRate: number
+	unsupportedEvidenceRuns: number
+	unsupportedEvidenceRate: number
+}
+
+export type AgentRunEngineComparison = {
+	engineCode: string
+	metrics: AgentRunMetrics
+}
+
+export type AgentEvaluationCase = {
+  id: string
+  category?: string
+  message: string
+  history?: string[]
+  expect?: Record<string, unknown>
+}
+
+export type AgentEvaluationReport = {
+  engineCode: string
+  total: number
+  passed: number
+  results: {
+    caseId: string
+    category: string
+    engineCode: string
+    passed: boolean
+    replyText: string
+    interrupted: boolean
+    error?: string
+    finding?: string
+  }[]
+  csv: string
+}
+
+export type AgentStep = {
+  id: number
+  agentRunId: number
+  stepType: string
+  stepCode: string
+  status: string
+  inputPreview: string
+  outputPreview: string
+  errorMessage: string
+  startedAt: string
+  endedAt: string
+  durationMs: number
+}
+
+export type AgentToolCall = {
+  id: number
+  agentRunId: number
+  agentStepId: number
+  toolCode: string
+  riskLevel: string
+  requireConfirm: boolean
+  status: string
+  argumentsPreview: string
+  resultPreview: string
+  errorMessage: string
+  durationMs: number
+  createdAt: string
+}
+
 export type AdminAgentProfile = {
   id: number
   userId: number
@@ -744,6 +900,13 @@ export function updateChannel(payload: UpdateAdminChannelPayload) {
   })
 }
 
+export function rollbackChannelAIAgentRollout(id: number) {
+  return request<void>("/api/dashboard/channel/rollback_ai_agent_rollout", {
+    method: "POST",
+    body: JSON.stringify({ id }),
+  })
+}
+
 export function updateChannelStatus(id: number, status: number) {
   return request<void>("/api/dashboard/channel/update_status", {
     method: "POST",
@@ -800,6 +963,31 @@ export function updateAIAgent(payload: UpdateAIAgentPayload) {
   })
 }
 
+export function publishAIAgent(id: number) {
+  return request<void>("/api/dashboard/ai-agent/publish", {
+    method: "POST",
+    body: JSON.stringify({ id }),
+  })
+}
+
+export function fetchAIAgentRevisions(id: number) {
+  return request<AgentRevision[]>(`/api/dashboard/ai-agent/${id}/revision/list`)
+}
+
+export function rollbackAIAgent(id: number, revisionId: number) {
+  return request<void>("/api/dashboard/ai-agent/rollback", {
+    method: "POST",
+    body: JSON.stringify({ id, revisionId }),
+  })
+}
+
+export function rollbackAIAgentRollout(id: number) {
+  return request<void>("/api/dashboard/ai-agent/rollback_rollout", {
+    method: "POST",
+    body: JSON.stringify({ id }),
+  })
+}
+
 export function deleteAIAgent(id: number) {
   return request<void>("/api/dashboard/ai-agent/delete", {
     method: "POST",
@@ -837,7 +1025,11 @@ export function fetchAIWorkflowNodeSpecs() {
 }
 
 export function fetchAIWorkflowDefaultDefinition() {
-  return request<AIWorkflowDefinition>("/api/dashboard/ai-workflow/default-definition")
+	return request<AIWorkflowDefinition>("/api/dashboard/ai-workflow/default-definition")
+}
+
+export function fetchAIWorkflowTemplates() {
+  return request<AIWorkflowTemplate[]>("/api/dashboard/ai-workflow/template/list")
 }
 
 export function fetchAIWorkflowVersions(query?: Record<string, string | number | undefined>) {
@@ -1135,6 +1327,43 @@ export function fetchAIWorkflowRun(id: number) {
   return request<AIWorkflowRun>(`/api/dashboard/ai-workflow/run/${id}`)
 }
 
+export function fetchAgentRuns(query?: Record<string, string | number | undefined>) {
+  return request<PageResult<AgentRun>>(
+    `/api/dashboard/agent-run/list${toQueryString(query)}`
+  )
+}
+
+export function fetchAgentRun(id: number) {
+  return request<AgentRun>(`/api/dashboard/agent-run/${id}`)
+}
+
+export function fetchAgentRunMetrics(aiAgentId?: number) {
+  return request<AgentRunMetrics>(`/api/dashboard/agent-run/metrics${toQueryString(aiAgentId ? { aiAgentId } : undefined)}`)
+}
+
+export function fetchAgentRunEngineComparisons(aiAgentId?: number) {
+	return request<AgentRunEngineComparison[]>(`/api/dashboard/agent-run/comparison${toQueryString(aiAgentId ? { aiAgentId } : undefined)}`)
+}
+
+export function runAgentEvaluation(payload: { aiAgentId: number; engineCode: string; cases: AgentEvaluationCase[] }) {
+  return request<AgentEvaluationReport>("/api/dashboard/agent-run/evaluate", {
+    method: "POST",
+    body: JSON.stringify(payload),
+  })
+}
+
+export function saveAgentRunQualityFeedback(payload: {
+	agentRunId: number
+	resolutionStatus: AgentRunQualityFeedback["resolutionStatus"]
+	evidenceStatus: AgentRunQualityFeedback["evidenceStatus"]
+	comment: string
+}) {
+	return request<void>("/api/dashboard/agent-run/quality_feedback", {
+		method: "POST",
+		body: JSON.stringify(payload),
+	})
+}
+
 export function updateSkillDefinitionStatus(id: number, status: number) {
   return request<void>("/api/dashboard/skill-definition/update_status", {
     method: "POST",

web/lib/generated/enums.ts

@@ -3,10 +3,12 @@
 export enum AIAgentFallbackMode {
   NoAnswer = 1,
   SuggestRetry = 2,
+  Handoff = 3,
 }
 export const AIAgentFallbackModeLabels: Record<AIAgentFallbackMode, string> = {
   [AIAgentFallbackMode.NoAnswer]: "直接说明知识不足",
   [AIAgentFallbackMode.SuggestRetry]: "引导用户补充信息",
+  [AIAgentFallbackMode.Handoff]: "转人工客服",
 }
 
 export enum AIAgentHandoffMode {
@@ -20,6 +22,17 @@ export const AIAgentHandoffModeLabels: Record<AIAgentHandoffMode, string> = {
   [AIAgentHandoffMode.AIHoldAndNotify]: "AI继续接待并提醒人工",
 }
 
+export enum AIAgentRuntimeMode {
+  Workflow = "workflow",
+  Autonomous = "autonomous",
+  Hybrid = "hybrid",
+}
+export const AIAgentRuntimeModeLabels: Record<AIAgentRuntimeMode, string> = {
+  [AIAgentRuntimeMode.Workflow]: "流程编排",
+  [AIAgentRuntimeMode.Autonomous]: "自主运行",
+  [AIAgentRuntimeMode.Hybrid]: "混合运行",
+}
+
 export enum AIModelType {
   LLM = "llm",
   Embedding = "embedding",

web/lib/navigation.tsx

@@ -211,6 +211,12 @@ export const dashboardNavSections: DashboardNavSectionConfig[] = [
         icon: <WorkflowIcon />,
         requiredPermission: "aiAgent.view",
       },
+      {
+        titleKey: "nav.agentRuns",
+        url: "/dashboard/agent-runs",
+        icon: <BotMessageSquareIcon />,
+        requiredPermission: "aiAgent.view",
+      },
     ],
   },
   {

web/messages/en-US.json

@@ -2288,6 +2288,37 @@
     "input": "Input",
     "output": "Output"
   },
+  "agentRun": {
+    "conversation": "Conversation",
+    "agent": "Agent",
+    "engine": "Engine",
+    "status": "Status",
+    "startedAt": "Started",
+    "duration": "Duration",
+    "tokens": "Input/Output Tokens",
+    "error": "Error",
+    "refresh": "Refresh",
+    "query": "Query",
+    "loading": "Loading agent runs",
+    "empty": "No agent runs",
+    "loadFailed": "Failed to load agent runs",
+    "loadDetailFailed": "Failed to load agent run detail",
+    "detailTitle": "Agent Run Detail",
+    "detailDescription": "View the unified run audit",
+    "loadingDetail": "Loading agent run detail",
+    "close": "Close",
+    "revision": "Revision",
+    "trace": "Trace",
+    "steps": "Steps",
+    "emptySteps": "No steps recorded",
+    "toolCalls": "Tool Calls",
+    "emptyToolCalls": "No tool calls recorded",
+    "input": "Input Preview",
+    "output": "Output Preview",
+    "arguments": "Arguments Preview",
+    "result": "Result Preview",
+    "notFound": "Agent run not found"
+  },
   "nav": {
     "overview": "Overview",
     "receptionCenter": "Support Desk",
@@ -2308,6 +2339,7 @@
     "aiAgents": "Agents",
     "aiWorkflows": "AI Workflows",
     "workflowRuns": "Workflow Audit",
+    "agentRuns": "Agent Audit",
     "skillDefinition": "Skills",
     "mcp": "MCP tools",
     "system": "System",