feat(platform): close AI expense value loop
Add tenant-safe value, telemetry, connector, commercial, and production-readiness foundations.
This commit is contained in:
caoxiaozhu
@@ -1,4 +1,4 @@
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import { computed, nextTick, onBeforeUnmount, onMounted, ref, watch } from 'vue'
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import { computed, onBeforeUnmount, onMounted, ref, watch } from 'vue'
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import { useSystemState } from '../useSystemState.js'
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import { useToast } from '../useToast.js'
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import { useWorkbenchComposerDate } from '../useWorkbenchComposerDate.js'
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@@ -7,9 +7,7 @@ import { calculateTravelReimbursement, fetchExpenseClaimDetail } from '../../ser
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import { useApplicationPreviewEditor } from '../../views/scripts/useApplicationPreviewEditor.js'
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import {
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deleteAiWorkbenchConversation,
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loadAiWorkbenchConversationHistory,
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markAiWorkbenchConversationDocumentDeleted,
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saveAiWorkbenchConversation
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markAiWorkbenchConversationDocumentDeleted
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} from '../../utils/aiWorkbenchConversationStore.js'
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import { renderAiConversationHtml } from '../../utils/aiConversationHtmlRenderer.js'
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import {
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@@ -41,23 +39,12 @@ import {
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} from './workbenchAiApplicationGateModel.js'
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import { useWorkbenchAiCommandIntents } from './useWorkbenchAiCommandIntents.js'
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import {
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buildRuleFallbackWorkbenchAiIntentPlan,
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isLowConfidenceTravelApplicationPlan,
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normalizeWorkbenchAiIntentPlan,
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resolveExecutableTravelApplicationPlan,
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shouldRequestWorkbenchAiIntentPlan
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} from './workbenchAiIntentPlannerModel.js'
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import {
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buildInitialModelPlanningThinkingEvents,
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buildModelPlanningProgressSchedule,
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mergeWorkbenchAiThinkingEvents
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} from './workbenchAiPlanningThinkingModel.js'
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import { useWorkbenchAiConversationRuntime } from './useWorkbenchAiConversationRuntime.js'
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import { useWorkbenchAiIntentExecution } from './useWorkbenchAiIntentExecution.js'
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const AI_SEARCH_CONVERSATION_ID = 'ai-search'
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const INLINE_ANSWER_STREAM_CHUNK_SIZE = 6
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const INLINE_ANSWER_STREAM_DELAY_MS = 24
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const INLINE_AUTO_SCROLL_THRESHOLD = 96
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const INLINE_LAYOUT_SETTLE_SCROLL_DELAY_MS = 260
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export function usePersonalWorkbenchAiMode(props, emit) {
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const { currentUser } = useSystemState()
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@@ -126,7 +113,47 @@ export function usePersonalWorkbenchAiMode(props, emit) {
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handleWorkbenchDateInputChange,
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removeWorkbenchDateTag,
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buildWorkbenchPromptText
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} = useWorkbenchComposerDate({ draft: assistantDraft, focusInput: focusAiModeInput })
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} = useWorkbenchComposerDate({ draft: assistantDraft, focusInput: () => focusAiModeInput() })
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const conversationRuntime = useWorkbenchAiConversationRuntime({
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activeConversationTitle,
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applicationSubmitConfirmContext,
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applicationSubmitConfirmOpen,
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assistantDraft,
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assistantInputRef,
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attachmentOcrExpandedMessageIds,
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clearAiModeFiles: () => filesFlow.clearAiModeFiles(),
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clearWorkbenchDateSelection,
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conversationId,
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conversationMessages,
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conversationScrollRef,
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conversationStarted,
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currentUser,
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deleteDialogOpen,
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emit,
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inlineConversationAutoScrollPinned,
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searchConversationId: AI_SEARCH_CONVERSATION_ID,
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serializeRuntimeMessage,
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stewardState,
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thinkingCollapsedMessageIds,
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thinkingExpandedMessageIds
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})
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const {
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activateInlineConversation,
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appendInlineMessageContent,
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focusAiModeInput,
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handleInlineConversationScroll,
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persistCurrentConversation,
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refreshConversationHistory,
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replaceInlineMessage,
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resetInlineConversationState,
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scrollInlineConversationToBottom,
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scrollInlineConversationToTop,
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setAssistantInputRef,
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streamInlineAssistantContent,
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streamOrSetInlineAssistantContent,
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updateInlineMessageContent
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} = conversationRuntime
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const aiModeActionItems = AI_MODE_ACTION_ITEMS
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const displayUserName = computed(() => {
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@@ -225,6 +252,8 @@ export function usePersonalWorkbenchAiMode(props, emit) {
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thinkingExpandedMessageIds
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})
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let intentExecution = null
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const applicationFlow = useWorkbenchAiApplicationPreviewFlow({
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activateInlineConversation,
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applicationPreviewEditor,
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@@ -259,7 +288,7 @@ export function usePersonalWorkbenchAiMode(props, emit) {
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scrollInlineConversationToBottom,
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sending,
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toast,
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onApplicationActionCompleted: startModelPlannedNextTask
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onApplicationActionCompleted: (remainingTasks) => intentExecution?.startModelPlannedNextTask(remainingTasks)
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})
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const expenseFlow = useWorkbenchAiExpenseFlow({
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@@ -354,6 +383,29 @@ export function usePersonalWorkbenchAiMode(props, emit) {
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toast
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})
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intentExecution = useWorkbenchAiIntentExecution({
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actionRouter,
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activeConversationTitle,
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activateInlineConversation,
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applicationFlow,
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assistantDraft,
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clearAiModeFiles: filesFlow.clearAiModeFiles,
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closeWorkbenchDatePicker,
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conversationId,
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conversationMessages,
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createInlineMessage,
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expenseFlow,
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inlineConversationAutoScrollPinned,
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persistCurrentConversation,
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removeWorkbenchDateTag,
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replaceInlineMessage,
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resolveInlineThinkingEvents,
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scrollInlineConversationToBottom,
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searchConversationId: AI_SEARCH_CONVERSATION_ID,
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sending,
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stewardFlow
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})
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const applicationPreviewEstimatePending = computed(() => (
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conversationMessages.value.some((message) => applicationFlow.isApplicationPreviewEstimatePending(message))
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))
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@@ -378,187 +430,6 @@ export function usePersonalWorkbenchAiMode(props, emit) {
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}
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}
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function focusAiModeInput() {
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nextTick(() => {
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assistantInputRef.value?.focus()
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})
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}
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function setAssistantInputRef(element) {
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assistantInputRef.value = element
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}
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function isInlineConversationNearBottom() {
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const el = conversationScrollRef.value
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if (!el) {
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return true
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}
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return el.scrollHeight - el.clientHeight - el.scrollTop <= INLINE_AUTO_SCROLL_THRESHOLD
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}
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function handleInlineConversationScroll() {
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inlineConversationAutoScrollPinned.value = isInlineConversationNearBottom()
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}
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function forceInlineConversationToBottom() {
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const el = conversationScrollRef.value
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if (el) {
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el.scrollTop = el.scrollHeight
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inlineConversationAutoScrollPinned.value = true
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}
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}
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function scrollInlineConversationToBottom(options = {}) {
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const shouldScroll = options.force !== false
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nextTick(() => {
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if (!shouldScroll) {
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return
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}
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forceInlineConversationToBottom()
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window.requestAnimationFrame(() => {
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forceInlineConversationToBottom()
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})
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window.setTimeout(() => {
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if (inlineConversationAutoScrollPinned.value) {
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forceInlineConversationToBottom()
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}
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}, INLINE_LAYOUT_SETTLE_SCROLL_DELAY_MS)
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})
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}
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function scrollInlineConversationToTop() {
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nextTick(() => {
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const el = conversationScrollRef.value
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if (el) {
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inlineConversationAutoScrollPinned.value = false
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el.scrollTo({ top: 0, behavior: 'smooth' })
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}
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})
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}
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function updateInlineMessageContent(message, content) {
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if (!message) {
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return
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}
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message.content = String(content || '')
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message.paragraphs = String(message.content || '')
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.split(/\n{2,}|\n/)
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.map((item) => item.trim())
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.filter(Boolean)
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}
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function appendInlineMessageContent(message, delta) {
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const nextDelta = String(delta || '')
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if (!nextDelta) {
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return
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}
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updateInlineMessageContent(message, `${message.content || ''}${nextDelta}`)
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}
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function waitInlineAnswerStreamFrame() {
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return new Promise((resolve) => {
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window.setTimeout(resolve, INLINE_ANSWER_STREAM_DELAY_MS)
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})
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}
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async function streamInlineAssistantContent(messageId, content) {
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const targetContent = String(content || '').trim()
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let streamedContent = ''
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for (let index = 0; index < targetContent.length; index += INLINE_ANSWER_STREAM_CHUNK_SIZE) {
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const message = conversationMessages.value.find((item) => item.id === messageId)
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if (!message || !message.pending) {
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return
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}
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const shouldAutoScroll = inlineConversationAutoScrollPinned.value
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streamedContent += targetContent.slice(index, index + INLINE_ANSWER_STREAM_CHUNK_SIZE)
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updateInlineMessageContent(message, streamedContent)
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scrollInlineConversationToBottom({ force: shouldAutoScroll })
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await waitInlineAnswerStreamFrame()
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}
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}
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async function streamOrSetInlineAssistantContent(messageId, content) {
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const targetContent = String(content || '').trim()
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if (/<!--\s*ai-trusted-html:start\s*-->/.test(targetContent)) {
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const message = conversationMessages.value.find((item) => item.id === messageId)
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if (message?.pending) {
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updateInlineMessageContent(message, targetContent)
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scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
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}
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return
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}
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await streamInlineAssistantContent(messageId, targetContent)
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}
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function refreshConversationHistory() {
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const history = loadAiWorkbenchConversationHistory(currentUser.value || {})
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emit('conversation-history-change', history)
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return history
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}
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function isPersistableInlineConversation() {
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return Boolean(
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conversationId.value &&
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conversationId.value !== AI_SEARCH_CONVERSATION_ID &&
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conversationMessages.value.length
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)
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}
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function persistCurrentConversation() {
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if (!isPersistableInlineConversation()) {
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refreshConversationHistory()
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return []
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}
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const history = saveAiWorkbenchConversation(currentUser.value || {}, {
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id: conversationId.value,
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conversationId: conversationId.value,
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title: activeConversationTitle.value,
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source: 'workbench',
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sessionType: 'steward',
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stewardState: stewardState.value,
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messages: conversationMessages.value.map((message) => serializeRuntimeMessage(message))
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})
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emit('conversation-history-change', history)
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return history
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}
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function resetInlineConversationState() {
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conversationStarted.value = false
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conversationMessages.value = []
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conversationId.value = ''
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stewardState.value = null
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activeConversationTitle.value = ''
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assistantDraft.value = ''
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thinkingExpandedMessageIds.value = new Set()
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thinkingCollapsedMessageIds.value = new Set()
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attachmentOcrExpandedMessageIds.value = new Set()
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deleteDialogOpen.value = false
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applicationSubmitConfirmOpen.value = false
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applicationSubmitConfirmContext.value = null
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clearWorkbenchDateSelection()
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filesFlow.clearAiModeFiles()
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}
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function replaceInlineMessage(id, nextMessage) {
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const index = conversationMessages.value.findIndex((item) => item.id === id)
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if (index === -1) {
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conversationMessages.value.push(nextMessage)
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return
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}
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conversationMessages.value.splice(index, 1, nextMessage)
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}
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function activateInlineConversation(options = {}) {
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conversationStarted.value = true
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if (!conversationId.value) {
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conversationId.value = options.id || `inline-${Date.now()}`
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}
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activeConversationTitle.value = options.title || activeConversationTitle.value || '新对话'
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emit('conversation-change', { id: conversationId.value, title: activeConversationTitle.value })
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}
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function renderInlineConversationHtml(content) { return renderAiConversationHtml(content) }
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function isUnavailableDocumentDetailError(error) {
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@@ -648,238 +519,6 @@ export function usePersonalWorkbenchAiMode(props, emit) {
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return false
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}
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function isModelPlannedReimbursementTask(modelPlan = {}) {
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const tasks = Array.isArray(modelPlan?.tasks) ? modelPlan.tasks : []
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return tasks.some((task) => {
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const taskType = String(task?.task_type || task?.taskType || '').trim()
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const assignedAgent = String(task?.assigned_agent || task?.assignedAgent || '').trim()
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return taskType === 'reimbursement' || assignedAgent === 'reimbursement_assistant'
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})
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}
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function updateModelPlanningThinkingEvent(messageId, event) {
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const message = conversationMessages.value.find((item) => item.id === messageId)
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if (!message) {
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return
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}
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const currentPlan = message.stewardPlan || {}
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message.stewardPlan = {
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...currentPlan,
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streamStatus: 'streaming',
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thinkingEvents: mergeWorkbenchAiThinkingEvents(resolveInlineThinkingEvents(message), [event])
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}
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persistCurrentConversation()
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scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
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}
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function startModelPlanningProgressUpdates(messageId) {
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const timerIds = buildModelPlanningProgressSchedule().map(({ delayMs, event }) => (
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globalThis.setTimeout(() => {
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updateModelPlanningThinkingEvent(messageId, event)
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}, delayMs)
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))
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return () => {
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timerIds.forEach((timerId) => globalThis.clearTimeout(timerId))
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}
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}
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function startModelPlanningConversation(cleanPrompt, entry = {}) {
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if (conversationId.value === AI_SEARCH_CONVERSATION_ID) {
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conversationId.value = ''
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conversationMessages.value = []
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activeConversationTitle.value = ''
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}
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activateInlineConversation({
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title: entry.label || cleanPrompt.slice(0, 18) || '新对话'
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})
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inlineConversationAutoScrollPinned.value = true
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conversationMessages.value.push(createInlineMessage('user', cleanPrompt))
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assistantDraft.value = ''
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removeWorkbenchDateTag()
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closeWorkbenchDatePicker()
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filesFlow.clearAiModeFiles()
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const pendingMessage = createInlineMessage('assistant', '正在识别意图，准备拆解申请、报销和附件任务。', {
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pending: true,
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stewardPlan: {
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streamStatus: 'streaming',
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thinkingEvents: buildInitialModelPlanningThinkingEvents()
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}
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})
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conversationMessages.value.push(pendingMessage)
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scrollInlineConversationToBottom()
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persistCurrentConversation()
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return pendingMessage
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}
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function buildModelPlannedNextTaskAction(remainingTasks = []) {
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const tasks = Array.isArray(remainingTasks) ? remainingTasks : []
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const nextTask = tasks[0]
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if (!nextTask || typeof nextTask !== 'object') {
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return null
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}
|
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const taskType = String(nextTask.task_type || nextTask.taskType || '').trim()
|
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const assignedAgent = String(nextTask.assigned_agent || nextTask.assignedAgent || '').trim()
|
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const isApplication = taskType === 'expense_application' || assignedAgent === 'application_assistant'
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const isReimbursement = taskType === 'reimbursement' || assignedAgent === 'reimbursement_assistant'
|
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if (!isApplication && !isReimbursement) {
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return null
|
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}
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const ontologyFields = nextTask.ontology_fields || nextTask.ontologyFields || {}
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const flowId = isApplication ? 'travel_application' : 'travel_reimbursement'
|
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const taskLabel = isApplication ? '出差申请' : '费用报销'
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return {
|
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label: `继续处理${taskLabel}`,
|
||||
action_type: 'steward_continue_next_task',
|
||||
payload: {
|
||||
steward_confirm_flow: true,
|
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flow_id: flowId,
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steward_current_task: nextTask,
|
||||
expense_type: String(ontologyFields.expense_type || 'travel').trim() || 'travel',
|
||||
expense_type_label: String(ontologyFields.expense_type_label || '差旅费').trim() || '差旅费',
|
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ontology_fields: ontologyFields,
|
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original_message: String(nextTask.summary || nextTask.title || `继续处理${taskLabel}`).trim(),
|
||||
steward_remaining_tasks: tasks.slice(1)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function startModelPlannedNextTask(remainingTasks = []) {
|
||||
const nextTaskAction = buildModelPlannedNextTaskAction(remainingTasks)
|
||||
if (!nextTaskAction) {
|
||||
return
|
||||
}
|
||||
actionRouter.handleInlineSuggestedAction(nextTaskAction)
|
||||
}
|
||||
|
||||
function startModelPlannedApplicationPreview(travelApplicationRequest, plannerPendingMessage = null) {
|
||||
void applicationFlow.startAiApplicationPreview(
|
||||
travelApplicationRequest.expenseType,
|
||||
travelApplicationRequest.expenseTypeLabel,
|
||||
travelApplicationRequest.sourceText,
|
||||
{
|
||||
userMessage: travelApplicationRequest.sourceText,
|
||||
pushUserMessage: !plannerPendingMessage,
|
||||
pendingMessageId: plannerPendingMessage?.id,
|
||||
ontologyFields: travelApplicationRequest.ontologyFields,
|
||||
autoSubmit: travelApplicationRequest.autoSubmit,
|
||||
autoSaveDraft: travelApplicationRequest.autoSaveDraft,
|
||||
requestedSubmit: travelApplicationRequest.requestedSubmit,
|
||||
submitRequiresConfirmation: travelApplicationRequest.submitRequiresConfirmation,
|
||||
stewardRemainingTasks: travelApplicationRequest.stewardRemainingTasks,
|
||||
onPreviewReadyForNextTask: startModelPlannedNextTask,
|
||||
onApplicationActionCompleted: startModelPlannedNextTask
|
||||
}
|
||||
)
|
||||
}
|
||||
|
||||
function startModelPlannedTravelApplicationConfirmation(travelApplicationRequest, plan, plannerPendingMessage) {
|
||||
const confirmText = buildLowConfidenceTravelApplicationConfirmationText(travelApplicationRequest, plan)
|
||||
const confirmAction = {
|
||||
label: '确认发起出差申请',
|
||||
description: '根据上面识别到的信息生成出差申请预览。',
|
||||
icon: 'mdi mdi-check-circle-outline',
|
||||
action_type: 'ai_application_confirm_intent',
|
||||
payload: {
|
||||
ontologyFields: travelApplicationRequest.ontologyFields,
|
||||
sourceText: travelApplicationRequest.sourceText,
|
||||
autoSubmit: travelApplicationRequest.autoSubmit,
|
||||
autoSaveDraft: travelApplicationRequest.autoSaveDraft,
|
||||
requestedSubmit: travelApplicationRequest.requestedSubmit,
|
||||
submitRequiresConfirmation: travelApplicationRequest.submitRequiresConfirmation,
|
||||
stewardRemainingTasks: travelApplicationRequest.stewardRemainingTasks
|
||||
}
|
||||
}
|
||||
replaceInlineMessage(plannerPendingMessage.id, createInlineMessage('assistant', confirmText, {
|
||||
id: plannerPendingMessage.id,
|
||||
suggestedActions: [confirmAction],
|
||||
stewardPlan: {
|
||||
streamStatus: 'completed',
|
||||
thinkingEvents: resolveInlineThinkingEvents(plannerPendingMessage).map((item) => ({ ...item, status: 'completed' }))
|
||||
}
|
||||
}))
|
||||
persistCurrentConversation()
|
||||
scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
|
||||
}
|
||||
|
||||
function buildLowConfidenceTravelApplicationConfirmationText(request, plan) {
|
||||
const fields = request.ontologyFields || {}
|
||||
const summaryParts = []
|
||||
if (fields.time_range) {
|
||||
summaryParts.push(`时间：${fields.time_range}`)
|
||||
}
|
||||
if (fields.location) {
|
||||
summaryParts.push(`地点：${fields.location}`)
|
||||
}
|
||||
if (fields.reason) {
|
||||
summaryParts.push(`事由：${fields.reason}`)
|
||||
}
|
||||
if (fields.transport_mode) {
|
||||
summaryParts.push(`交通：${fields.transport_mode}`)
|
||||
}
|
||||
const summary = summaryParts.length ? `\n\n${summaryParts.join('；')}` : ''
|
||||
const confidenceNote = Number.isFinite(Number(plan?.confidence))
|
||||
? `（模型识别置信度较低，约 ${Math.round(Number(plan.confidence) * 100)}%）`
|
||||
: '（模型识别置信度较低）'
|
||||
return [
|
||||
'### 需要确认：您是要发起出差申请吗？',
|
||||
'',
|
||||
`小财管家把这句话理解成了“发起差旅申请”${confidenceNote}，为避免误操作，先请您确认。`,
|
||||
summary,
|
||||
'',
|
||||
'点击下方「确认发起出差申请」即可继续；如果理解有误，请补充说明您的实际需求。'
|
||||
].filter(Boolean).join('\n')
|
||||
}
|
||||
|
||||
async function executeModelPlannedWorkbenchIntent(cleanPrompt, entry = {}, files = []) {
|
||||
let intentPlan = null
|
||||
let modelPlan = null
|
||||
const plannerPendingMessage = startModelPlanningConversation(cleanPrompt, entry)
|
||||
const stopPlanningProgressUpdates = startModelPlanningProgressUpdates(plannerPendingMessage.id)
|
||||
sending.value = true
|
||||
try {
|
||||
modelPlan = await stewardFlow.resolveInlineExecutionPlan(cleanPrompt, entry, files, {
|
||||
pendingMessageId: plannerPendingMessage.id
|
||||
})
|
||||
intentPlan = normalizeWorkbenchAiIntentPlan(modelPlan, { prompt: cleanPrompt })
|
||||
} catch (error) {
|
||||
console.warn('AI mode intent planner failed, using local fallback:', error)
|
||||
const rulePlan = buildRuleFallbackWorkbenchAiIntentPlan(cleanPrompt)
|
||||
const ruleRequest = resolveExecutableTravelApplicationPlan(rulePlan)
|
||||
if (ruleRequest) {
|
||||
sending.value = false
|
||||
startModelPlannedApplicationPreview(ruleRequest, plannerPendingMessage)
|
||||
return
|
||||
}
|
||||
} finally {
|
||||
stopPlanningProgressUpdates()
|
||||
sending.value = false
|
||||
}
|
||||
|
||||
const travelApplicationRequest = resolveExecutableTravelApplicationPlan(intentPlan)
|
||||
if (travelApplicationRequest) {
|
||||
if (isLowConfidenceTravelApplicationPlan(intentPlan)) {
|
||||
startModelPlannedTravelApplicationConfirmation(travelApplicationRequest, intentPlan, plannerPendingMessage)
|
||||
return
|
||||
}
|
||||
startModelPlannedApplicationPreview(travelApplicationRequest, plannerPendingMessage)
|
||||
return
|
||||
}
|
||||
|
||||
if (isModelPlannedReimbursementTask(modelPlan) || isReimbursementCreationIntent(cleanPrompt)) {
|
||||
replaceInlineMessage(plannerPendingMessage.id, createInlineMessage('assistant', '已识别为报销任务，正在进入报销流程。', {
|
||||
id: plannerPendingMessage.id,
|
||||
stewardPlan: {
|
||||
streamStatus: 'completed',
|
||||
thinkingEvents: resolveInlineThinkingEvents(plannerPendingMessage).map((item) => ({ ...item, status: 'completed' }))
|
||||
}
|
||||
}))
|
||||
void expenseFlow.startAiReimbursementAssociationGate(cleanPrompt, entry.label || cleanPrompt)
|
||||
return
|
||||
}
|
||||
|
||||
void stewardFlow.requestInlineAssistantReply(cleanPrompt, entry, files, { pendingMessageId: plannerPendingMessage.id })
|
||||
}
|
||||
|
||||
async function handleAiAnswerMarkdownClick(event) {
|
||||
const target = event?.target
|
||||
const link = target?.closest?.('a[href^="#ai-open-document-detail:"], a[href^="#ai-open-application-detail:"]')
|
||||
@@ -923,7 +562,7 @@ export function usePersonalWorkbenchAiMode(props, emit) {
|
||||
}
|
||||
|
||||
if (shouldRequestWorkbenchAiIntentPlan(cleanPrompt)) {
|
||||
void executeModelPlannedWorkbenchIntent(cleanPrompt, entry, files)
|
||||
void intentExecution.executeModelPlannedWorkbenchIntent(cleanPrompt, entry, files)
|
||||
return
|
||||
}
|
||||
|
||||
|
||||
@@ -0,0 +1,234 @@
|
||||
import { nextTick } from 'vue'
|
||||
import {
|
||||
loadAiWorkbenchConversationHistory,
|
||||
saveAiWorkbenchConversation
|
||||
} from '../../utils/aiWorkbenchConversationStore.js'
|
||||
|
||||
const INLINE_ANSWER_STREAM_CHUNK_SIZE = 6
|
||||
const INLINE_ANSWER_STREAM_DELAY_MS = 24
|
||||
const INLINE_AUTO_SCROLL_THRESHOLD = 96
|
||||
const INLINE_LAYOUT_SETTLE_SCROLL_DELAY_MS = 260
|
||||
|
||||
export function useWorkbenchAiConversationRuntime(options) {
|
||||
const {
|
||||
activeConversationTitle,
|
||||
applicationSubmitConfirmContext,
|
||||
applicationSubmitConfirmOpen,
|
||||
assistantDraft,
|
||||
assistantInputRef,
|
||||
attachmentOcrExpandedMessageIds,
|
||||
clearAiModeFiles,
|
||||
clearWorkbenchDateSelection,
|
||||
conversationId,
|
||||
conversationMessages,
|
||||
conversationScrollRef,
|
||||
conversationStarted,
|
||||
currentUser,
|
||||
deleteDialogOpen,
|
||||
emit,
|
||||
inlineConversationAutoScrollPinned,
|
||||
searchConversationId,
|
||||
serializeRuntimeMessage,
|
||||
stewardState,
|
||||
thinkingCollapsedMessageIds,
|
||||
thinkingExpandedMessageIds
|
||||
} = options
|
||||
|
||||
function focusAiModeInput() {
|
||||
nextTick(() => {
|
||||
assistantInputRef.value?.focus()
|
||||
})
|
||||
}
|
||||
|
||||
function setAssistantInputRef(element) {
|
||||
assistantInputRef.value = element
|
||||
}
|
||||
|
||||
function isInlineConversationNearBottom() {
|
||||
const el = conversationScrollRef.value
|
||||
if (!el) {
|
||||
return true
|
||||
}
|
||||
return el.scrollHeight - el.clientHeight - el.scrollTop <= INLINE_AUTO_SCROLL_THRESHOLD
|
||||
}
|
||||
|
||||
function handleInlineConversationScroll() {
|
||||
inlineConversationAutoScrollPinned.value = isInlineConversationNearBottom()
|
||||
}
|
||||
|
||||
function forceInlineConversationToBottom() {
|
||||
const el = conversationScrollRef.value
|
||||
if (el) {
|
||||
el.scrollTop = el.scrollHeight
|
||||
inlineConversationAutoScrollPinned.value = true
|
||||
}
|
||||
}
|
||||
|
||||
function scrollInlineConversationToBottom(options = {}) {
|
||||
const shouldScroll = options.force !== false
|
||||
nextTick(() => {
|
||||
if (!shouldScroll) {
|
||||
return
|
||||
}
|
||||
forceInlineConversationToBottom()
|
||||
window.requestAnimationFrame(() => {
|
||||
forceInlineConversationToBottom()
|
||||
})
|
||||
window.setTimeout(() => {
|
||||
if (inlineConversationAutoScrollPinned.value) {
|
||||
forceInlineConversationToBottom()
|
||||
}
|
||||
}, INLINE_LAYOUT_SETTLE_SCROLL_DELAY_MS)
|
||||
})
|
||||
}
|
||||
|
||||
function scrollInlineConversationToTop() {
|
||||
nextTick(() => {
|
||||
const el = conversationScrollRef.value
|
||||
if (el) {
|
||||
inlineConversationAutoScrollPinned.value = false
|
||||
el.scrollTo({ top: 0, behavior: 'smooth' })
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
function updateInlineMessageContent(message, content) {
|
||||
if (!message) {
|
||||
return
|
||||
}
|
||||
message.content = String(content || '')
|
||||
message.paragraphs = String(message.content || '')
|
||||
.split(/\n{2,}|\n/)
|
||||
.map((item) => item.trim())
|
||||
.filter(Boolean)
|
||||
}
|
||||
|
||||
function appendInlineMessageContent(message, delta) {
|
||||
const nextDelta = String(delta || '')
|
||||
if (!nextDelta) {
|
||||
return
|
||||
}
|
||||
updateInlineMessageContent(message, `${message.content || ''}${nextDelta}`)
|
||||
}
|
||||
|
||||
function waitInlineAnswerStreamFrame() {
|
||||
return new Promise((resolve) => {
|
||||
window.setTimeout(resolve, INLINE_ANSWER_STREAM_DELAY_MS)
|
||||
})
|
||||
}
|
||||
|
||||
async function streamInlineAssistantContent(messageId, content) {
|
||||
const targetContent = String(content || '').trim()
|
||||
let streamedContent = ''
|
||||
|
||||
for (let index = 0; index < targetContent.length; index += INLINE_ANSWER_STREAM_CHUNK_SIZE) {
|
||||
const message = conversationMessages.value.find((item) => item.id === messageId)
|
||||
if (!message || !message.pending) {
|
||||
return
|
||||
}
|
||||
const shouldAutoScroll = inlineConversationAutoScrollPinned.value
|
||||
streamedContent += targetContent.slice(index, index + INLINE_ANSWER_STREAM_CHUNK_SIZE)
|
||||
updateInlineMessageContent(message, streamedContent)
|
||||
scrollInlineConversationToBottom({ force: shouldAutoScroll })
|
||||
await waitInlineAnswerStreamFrame()
|
||||
}
|
||||
}
|
||||
|
||||
async function streamOrSetInlineAssistantContent(messageId, content) {
|
||||
const targetContent = String(content || '').trim()
|
||||
if (/<!--\s*ai-trusted-html:start\s*-->/.test(targetContent)) {
|
||||
const message = conversationMessages.value.find((item) => item.id === messageId)
|
||||
if (message?.pending) {
|
||||
updateInlineMessageContent(message, targetContent)
|
||||
scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
|
||||
}
|
||||
return
|
||||
}
|
||||
await streamInlineAssistantContent(messageId, targetContent)
|
||||
}
|
||||
|
||||
function refreshConversationHistory() {
|
||||
const history = loadAiWorkbenchConversationHistory(currentUser.value || {})
|
||||
emit('conversation-history-change', history)
|
||||
return history
|
||||
}
|
||||
|
||||
function isPersistableInlineConversation() {
|
||||
return Boolean(
|
||||
conversationId.value &&
|
||||
conversationId.value !== searchConversationId &&
|
||||
conversationMessages.value.length
|
||||
)
|
||||
}
|
||||
|
||||
function persistCurrentConversation() {
|
||||
if (!isPersistableInlineConversation()) {
|
||||
refreshConversationHistory()
|
||||
return []
|
||||
}
|
||||
|
||||
const history = saveAiWorkbenchConversation(currentUser.value || {}, {
|
||||
id: conversationId.value,
|
||||
conversationId: conversationId.value,
|
||||
title: activeConversationTitle.value,
|
||||
source: 'workbench',
|
||||
sessionType: 'steward',
|
||||
stewardState: stewardState.value,
|
||||
messages: conversationMessages.value.map((message) => serializeRuntimeMessage(message))
|
||||
})
|
||||
emit('conversation-history-change', history)
|
||||
return history
|
||||
}
|
||||
|
||||
function resetInlineConversationState() {
|
||||
conversationStarted.value = false
|
||||
conversationMessages.value = []
|
||||
conversationId.value = ''
|
||||
stewardState.value = null
|
||||
activeConversationTitle.value = ''
|
||||
assistantDraft.value = ''
|
||||
thinkingExpandedMessageIds.value = new Set()
|
||||
thinkingCollapsedMessageIds.value = new Set()
|
||||
attachmentOcrExpandedMessageIds.value = new Set()
|
||||
deleteDialogOpen.value = false
|
||||
applicationSubmitConfirmOpen.value = false
|
||||
applicationSubmitConfirmContext.value = null
|
||||
clearWorkbenchDateSelection()
|
||||
clearAiModeFiles()
|
||||
}
|
||||
|
||||
function replaceInlineMessage(id, nextMessage) {
|
||||
const index = conversationMessages.value.findIndex((item) => item.id === id)
|
||||
if (index === -1) {
|
||||
conversationMessages.value.push(nextMessage)
|
||||
return
|
||||
}
|
||||
conversationMessages.value.splice(index, 1, nextMessage)
|
||||
}
|
||||
|
||||
function activateInlineConversation(options = {}) {
|
||||
conversationStarted.value = true
|
||||
if (!conversationId.value) {
|
||||
conversationId.value = options.id || `inline-${Date.now()}`
|
||||
}
|
||||
activeConversationTitle.value = options.title || activeConversationTitle.value || '新对话'
|
||||
emit('conversation-change', { id: conversationId.value, title: activeConversationTitle.value })
|
||||
}
|
||||
|
||||
return {
|
||||
activateInlineConversation,
|
||||
appendInlineMessageContent,
|
||||
focusAiModeInput,
|
||||
handleInlineConversationScroll,
|
||||
persistCurrentConversation,
|
||||
refreshConversationHistory,
|
||||
replaceInlineMessage,
|
||||
resetInlineConversationState,
|
||||
scrollInlineConversationToBottom,
|
||||
scrollInlineConversationToTop,
|
||||
setAssistantInputRef,
|
||||
streamInlineAssistantContent,
|
||||
streamOrSetInlineAssistantContent,
|
||||
updateInlineMessageContent
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,277 @@
|
||||
import { isReimbursementCreationIntent } from './workbenchAiApplicationGateModel.js'
|
||||
import {
|
||||
buildRuleFallbackWorkbenchAiIntentPlan,
|
||||
isLowConfidenceTravelApplicationPlan,
|
||||
normalizeWorkbenchAiIntentPlan,
|
||||
resolveExecutableTravelApplicationPlan
|
||||
} from './workbenchAiIntentPlannerModel.js'
|
||||
import {
|
||||
buildInitialModelPlanningThinkingEvents,
|
||||
buildModelPlanningProgressSchedule,
|
||||
mergeWorkbenchAiThinkingEvents
|
||||
} from './workbenchAiPlanningThinkingModel.js'
|
||||
|
||||
export function useWorkbenchAiIntentExecution(options) {
|
||||
const {
|
||||
actionRouter,
|
||||
activeConversationTitle,
|
||||
activateInlineConversation,
|
||||
applicationFlow,
|
||||
assistantDraft,
|
||||
clearAiModeFiles,
|
||||
closeWorkbenchDatePicker,
|
||||
conversationId,
|
||||
conversationMessages,
|
||||
createInlineMessage,
|
||||
expenseFlow,
|
||||
inlineConversationAutoScrollPinned,
|
||||
persistCurrentConversation,
|
||||
removeWorkbenchDateTag,
|
||||
replaceInlineMessage,
|
||||
resolveInlineThinkingEvents,
|
||||
scrollInlineConversationToBottom,
|
||||
searchConversationId,
|
||||
sending,
|
||||
stewardFlow
|
||||
} = options
|
||||
|
||||
function isModelPlannedReimbursementTask(modelPlan = {}) {
|
||||
const tasks = Array.isArray(modelPlan?.tasks) ? modelPlan.tasks : []
|
||||
return tasks.some((task) => {
|
||||
const taskType = String(task?.task_type || task?.taskType || '').trim()
|
||||
const assignedAgent = String(task?.assigned_agent || task?.assignedAgent || '').trim()
|
||||
return taskType === 'reimbursement' || assignedAgent === 'reimbursement_assistant'
|
||||
})
|
||||
}
|
||||
|
||||
function updateModelPlanningThinkingEvent(messageId, event) {
|
||||
const message = conversationMessages.value.find((item) => item.id === messageId)
|
||||
if (!message) {
|
||||
return
|
||||
}
|
||||
const currentPlan = message.stewardPlan || {}
|
||||
message.stewardPlan = {
|
||||
...currentPlan,
|
||||
streamStatus: 'streaming',
|
||||
thinkingEvents: mergeWorkbenchAiThinkingEvents(resolveInlineThinkingEvents(message), [event])
|
||||
}
|
||||
persistCurrentConversation()
|
||||
scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
|
||||
}
|
||||
|
||||
function startModelPlanningProgressUpdates(messageId) {
|
||||
const timerIds = buildModelPlanningProgressSchedule().map(({ delayMs, event }) => (
|
||||
globalThis.setTimeout(() => {
|
||||
updateModelPlanningThinkingEvent(messageId, event)
|
||||
}, delayMs)
|
||||
))
|
||||
return () => {
|
||||
timerIds.forEach((timerId) => globalThis.clearTimeout(timerId))
|
||||
}
|
||||
}
|
||||
|
||||
function startModelPlanningConversation(cleanPrompt, entry = {}) {
|
||||
if (conversationId.value === searchConversationId) {
|
||||
conversationId.value = ''
|
||||
conversationMessages.value = []
|
||||
activeConversationTitle.value = ''
|
||||
}
|
||||
activateInlineConversation({
|
||||
title: entry.label || cleanPrompt.slice(0, 18) || '新对话'
|
||||
})
|
||||
inlineConversationAutoScrollPinned.value = true
|
||||
conversationMessages.value.push(createInlineMessage('user', cleanPrompt))
|
||||
assistantDraft.value = ''
|
||||
removeWorkbenchDateTag()
|
||||
closeWorkbenchDatePicker()
|
||||
clearAiModeFiles()
|
||||
const pendingMessage = createInlineMessage('assistant', '正在识别意图，准备拆解申请、报销和附件任务。', {
|
||||
pending: true,
|
||||
stewardPlan: {
|
||||
streamStatus: 'streaming',
|
||||
thinkingEvents: buildInitialModelPlanningThinkingEvents()
|
||||
}
|
||||
})
|
||||
conversationMessages.value.push(pendingMessage)
|
||||
scrollInlineConversationToBottom()
|
||||
persistCurrentConversation()
|
||||
return pendingMessage
|
||||
}
|
||||
|
||||
function buildModelPlannedNextTaskAction(remainingTasks = []) {
|
||||
const tasks = Array.isArray(remainingTasks) ? remainingTasks : []
|
||||
const nextTask = tasks[0]
|
||||
if (!nextTask || typeof nextTask !== 'object') {
|
||||
return null
|
||||
}
|
||||
const taskType = String(nextTask.task_type || nextTask.taskType || '').trim()
|
||||
const assignedAgent = String(nextTask.assigned_agent || nextTask.assignedAgent || '').trim()
|
||||
const isApplication = taskType === 'expense_application' || assignedAgent === 'application_assistant'
|
||||
const isReimbursement = taskType === 'reimbursement' || assignedAgent === 'reimbursement_assistant'
|
||||
if (!isApplication && !isReimbursement) {
|
||||
return null
|
||||
}
|
||||
const ontologyFields = nextTask.ontology_fields || nextTask.ontologyFields || {}
|
||||
const flowId = isApplication ? 'travel_application' : 'travel_reimbursement'
|
||||
const taskLabel = isApplication ? '出差申请' : '费用报销'
|
||||
return {
|
||||
label: `继续处理${taskLabel}`,
|
||||
action_type: 'steward_continue_next_task',
|
||||
payload: {
|
||||
steward_confirm_flow: true,
|
||||
flow_id: flowId,
|
||||
steward_current_task: nextTask,
|
||||
expense_type: String(ontologyFields.expense_type || 'travel').trim() || 'travel',
|
||||
expense_type_label: String(ontologyFields.expense_type_label || '差旅费').trim() || '差旅费',
|
||||
ontology_fields: ontologyFields,
|
||||
original_message: String(nextTask.summary || nextTask.title || `继续处理${taskLabel}`).trim(),
|
||||
steward_remaining_tasks: tasks.slice(1)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
function startModelPlannedNextTask(remainingTasks = []) {
|
||||
const nextTaskAction = buildModelPlannedNextTaskAction(remainingTasks)
|
||||
if (nextTaskAction) {
|
||||
actionRouter.handleInlineSuggestedAction(nextTaskAction)
|
||||
}
|
||||
}
|
||||
|
||||
function startModelPlannedApplicationPreview(travelApplicationRequest, plannerPendingMessage = null) {
|
||||
void applicationFlow.startAiApplicationPreview(
|
||||
travelApplicationRequest.expenseType,
|
||||
travelApplicationRequest.expenseTypeLabel,
|
||||
travelApplicationRequest.sourceText,
|
||||
{
|
||||
userMessage: travelApplicationRequest.sourceText,
|
||||
pushUserMessage: !plannerPendingMessage,
|
||||
pendingMessageId: plannerPendingMessage?.id,
|
||||
ontologyFields: travelApplicationRequest.ontologyFields,
|
||||
autoSubmit: travelApplicationRequest.autoSubmit,
|
||||
autoSaveDraft: travelApplicationRequest.autoSaveDraft,
|
||||
requestedSubmit: travelApplicationRequest.requestedSubmit,
|
||||
submitRequiresConfirmation: travelApplicationRequest.submitRequiresConfirmation,
|
||||
stewardRemainingTasks: travelApplicationRequest.stewardRemainingTasks,
|
||||
onPreviewReadyForNextTask: startModelPlannedNextTask,
|
||||
onApplicationActionCompleted: startModelPlannedNextTask
|
||||
}
|
||||
)
|
||||
}
|
||||
|
||||
function buildLowConfidenceTravelApplicationConfirmationText(request, plan) {
|
||||
const fields = request.ontologyFields || {}
|
||||
const summaryParts = []
|
||||
if (fields.time_range) summaryParts.push(`时间：${fields.time_range}`)
|
||||
if (fields.location) summaryParts.push(`地点：${fields.location}`)
|
||||
if (fields.reason) summaryParts.push(`事由：${fields.reason}`)
|
||||
if (fields.transport_mode) summaryParts.push(`交通：${fields.transport_mode}`)
|
||||
const summary = summaryParts.length ? `\n\n${summaryParts.join('；')}` : ''
|
||||
const confidenceNote = Number.isFinite(Number(plan?.confidence))
|
||||
? `（模型识别置信度较低，约 ${Math.round(Number(plan.confidence) * 100)}%）`
|
||||
: '（模型识别置信度较低）'
|
||||
return [
|
||||
'### 需要确认：您是要发起出差申请吗？',
|
||||
'',
|
||||
`小财管家把这句话理解成了“发起差旅申请”${confidenceNote}，为避免误操作，先请您确认。`,
|
||||
summary,
|
||||
'',
|
||||
'点击下方「确认发起出差申请」即可继续；如果理解有误，请补充说明您的实际需求。'
|
||||
].filter(Boolean).join('\n')
|
||||
}
|
||||
|
||||
function startModelPlannedTravelApplicationConfirmation(travelApplicationRequest, plan, plannerPendingMessage) {
|
||||
const confirmAction = {
|
||||
label: '确认发起出差申请',
|
||||
description: '根据上面识别到的信息生成出差申请预览。',
|
||||
icon: 'mdi mdi-check-circle-outline',
|
||||
action_type: 'ai_application_confirm_intent',
|
||||
payload: {
|
||||
ontologyFields: travelApplicationRequest.ontologyFields,
|
||||
sourceText: travelApplicationRequest.sourceText,
|
||||
autoSubmit: travelApplicationRequest.autoSubmit,
|
||||
autoSaveDraft: travelApplicationRequest.autoSaveDraft,
|
||||
requestedSubmit: travelApplicationRequest.requestedSubmit,
|
||||
submitRequiresConfirmation: travelApplicationRequest.submitRequiresConfirmation,
|
||||
stewardRemainingTasks: travelApplicationRequest.stewardRemainingTasks
|
||||
}
|
||||
}
|
||||
replaceInlineMessage(plannerPendingMessage.id, createInlineMessage(
|
||||
'assistant',
|
||||
buildLowConfidenceTravelApplicationConfirmationText(travelApplicationRequest, plan),
|
||||
{
|
||||
id: plannerPendingMessage.id,
|
||||
suggestedActions: [confirmAction],
|
||||
stewardPlan: {
|
||||
streamStatus: 'completed',
|
||||
thinkingEvents: resolveInlineThinkingEvents(plannerPendingMessage)
|
||||
.map((item) => ({ ...item, status: 'completed' }))
|
||||
}
|
||||
}
|
||||
))
|
||||
persistCurrentConversation()
|
||||
scrollInlineConversationToBottom({ force: inlineConversationAutoScrollPinned.value })
|
||||
}
|
||||
|
||||
async function executeModelPlannedWorkbenchIntent(cleanPrompt, entry = {}, files = []) {
|
||||
let intentPlan = null
|
||||
let modelPlan = null
|
||||
const plannerPendingMessage = startModelPlanningConversation(cleanPrompt, entry)
|
||||
const stopPlanningProgressUpdates = startModelPlanningProgressUpdates(plannerPendingMessage.id)
|
||||
sending.value = true
|
||||
try {
|
||||
modelPlan = await stewardFlow.resolveInlineExecutionPlan(cleanPrompt, entry, files, {
|
||||
pendingMessageId: plannerPendingMessage.id
|
||||
})
|
||||
intentPlan = normalizeWorkbenchAiIntentPlan(modelPlan, { prompt: cleanPrompt })
|
||||
} catch (error) {
|
||||
console.warn('AI mode intent planner failed, using local fallback:', error)
|
||||
const ruleRequest = resolveExecutableTravelApplicationPlan(
|
||||
buildRuleFallbackWorkbenchAiIntentPlan(cleanPrompt)
|
||||
)
|
||||
if (ruleRequest) {
|
||||
sending.value = false
|
||||
startModelPlannedApplicationPreview(ruleRequest, plannerPendingMessage)
|
||||
return
|
||||
}
|
||||
} finally {
|
||||
stopPlanningProgressUpdates()
|
||||
sending.value = false
|
||||
}
|
||||
|
||||
const travelApplicationRequest = resolveExecutableTravelApplicationPlan(intentPlan)
|
||||
if (travelApplicationRequest) {
|
||||
if (isLowConfidenceTravelApplicationPlan(intentPlan)) {
|
||||
startModelPlannedTravelApplicationConfirmation(travelApplicationRequest, intentPlan, plannerPendingMessage)
|
||||
} else {
|
||||
startModelPlannedApplicationPreview(travelApplicationRequest, plannerPendingMessage)
|
||||
}
|
||||
return
|
||||
}
|
||||
|
||||
if (isModelPlannedReimbursementTask(modelPlan) || isReimbursementCreationIntent(cleanPrompt)) {
|
||||
replaceInlineMessage(plannerPendingMessage.id, createInlineMessage(
|
||||
'assistant',
|
||||
'已识别为报销任务，正在进入报销流程。',
|
||||
{
|
||||
id: plannerPendingMessage.id,
|
||||
stewardPlan: {
|
||||
streamStatus: 'completed',
|
||||
thinkingEvents: resolveInlineThinkingEvents(plannerPendingMessage)
|
||||
.map((item) => ({ ...item, status: 'completed' }))
|
||||
}
|
||||
}
|
||||
))
|
||||
void expenseFlow.startAiReimbursementAssociationGate(cleanPrompt, entry.label || cleanPrompt)
|
||||
return
|
||||
}
|
||||
|
||||
void stewardFlow.requestInlineAssistantReply(cleanPrompt, entry, files, {
|
||||
pendingMessageId: plannerPendingMessage.id
|
||||
})
|
||||
}
|
||||
|
||||
return {
|
||||
executeModelPlannedWorkbenchIntent,
|
||||
startModelPlannedNextTask
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user