mirror of
https://github.com/InvoiceShelf/InvoiceShelf.git
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Second phase of the AI feature. Users can now open a slide-in chat drawer from the SiteHeader and ask natural-language questions about their company's invoices, customers, payments, and expenses. The LLM invokes pre-defined read-only tool functions (scoped to the current company at execute time) to fetch data and synthesize answers.
**Database** — new ai_conversations and ai_messages tables. Messages are stored in OpenAI's chat format so AiAssistantService serializes a conversation into an API request with zero translation. Columns: role, content, tool_call_id, tool_calls JSON, model, tokens_in, tokens_out. Conversations are scoped (company_id, user_id) — one user's chats are invisible to everyone else, even inside the same company. Foreign-key cascade deletes.
**Tool infrastructure** — AiTool abstract base + AiToolRegistry singleton (registered in a new AiServiceProvider). The base class enforces the security rule: every tool's execute() receives companyId and userId as injected parameters; tools' JSON schemas NEVER include a company_id field. An LLM physically cannot pass a company_id and escape tenancy. Modules can register their own tools by resolving the registry from their own ServiceProvider::boot().
**Nine built-in tools**: search_invoices, get_invoice, search_customers, get_customer, list_recent_payments, list_overdue_invoices, get_company_stats (aggregates for named periods), search_items, list_expense_categories. All read-only; no mutations. Each returns JSON-encodable data the LLM can parse.
**AiAssistantService orchestration loop** — the heart of Phase 2. Flow: persist user message → build payload from system prompt + recent history (40-message window) + new user message → call driver.chatCompletion with tools → if tool_calls, execute each one via the registry (with injected scope), persist tool result, loop → if plain text, persist and return. Hard cap at 5 iterations to prevent runaway LLMs. System prompt pins the assistant to this company's data and forbids mutation.
**Controllers + policy + rate limit** — POST /api/v1/ai/chat runs the orchestration loop. GET/PATCH/DELETE /api/v1/ai/conversations for CRUD. AiConversationPolicy enforces user_id+company_id match on every action. A new 'ai' RateLimiter in RouteServiceProvider throttles to 30 req/min per (user, company). New 'use ai' Gate defined in AppServiceProvider returns true for any authenticated user — the per-company kill-switch still goes through AiConfigurationService::resolveForCompany.
**Frontend** — new features/company/ai/ folder with a Pinia store (ai-chat.store.ts) holding drawer state, current conversation, messages, and loading flags. AiChatDrawer.vue is a slide-in panel teleported to <body>, mounted globally in CompanyLayout.vue when bootstrap reports ai.enabled && ai.chat_enabled. Sub-components: AiChatMessage (user bubbles vs assistant bubbles), AiChatMessageInput (Enter submits, Shift+Enter newline), AiChatConversationList (sidebar with 'new chat' button, rename, delete). A SparklesIcon button in SiteHeader toggles the drawer.
**Driver test double** — tests use a ScriptedAiDriver registered via AiDriverFactory::register('scripted', ...) that returns pre-queued AiChatResponse objects. Feature tests cover: happy path (new conversation + message persistence), tool-call loop (multi-round-trip with search_invoices), runaway-loop cap, driver-throws path, ai_enabled=NO rejection, chat role disabled rejection, per-user conversation visibility, cross-user policy enforcement, cascade delete.
388 tests pass (was 372, +16 new). Pint clean. npm run build clean. Phase 3 (WYSIWYG text generation popup) is the remaining follow-up.
120 lines
3.3 KiB
Vue
120 lines
3.3 KiB
Vue
<template>
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<div v-if="isAppLoaded" class="h-full">
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<NotificationRoot />
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<ImpersonationBanner />
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<SiteHeader />
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<SiteSidebar v-if="hasCompany" />
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<main
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:class="[
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'h-screen h-screen-ios overflow-y-auto min-h-0 transition-all duration-300',
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hasCompany
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? globalStore.isSidebarCollapsed
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? 'md:pl-16'
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: 'md:pl-56 xl:pl-64'
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: '',
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]"
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>
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<div class="pt-16 pb-16">
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<router-view />
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</div>
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</main>
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<!-- AI chat drawer — always mounted, visibility driven by the store -->
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<AiChatDrawer v-if="globalStore.ai?.enabled && globalStore.ai?.chat_enabled" />
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</div>
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<BaseGlobalLoader v-else />
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</template>
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<script setup lang="ts">
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import { useI18n } from 'vue-i18n'
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import { onMounted, computed, watch } from 'vue'
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import { useRoute, useRouter } from 'vue-router'
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import { useGlobalStore } from '@/scripts/stores/global.store'
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import { useUserStore } from '@/scripts/stores/user.store'
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import { useModalStore } from '@/scripts/stores/modal.store'
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import { useCompanyStore } from '@/scripts/stores/company.store'
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import SiteHeader from './partials/SiteHeader.vue'
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import SiteSidebar from './partials/SiteSidebar.vue'
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import NotificationRoot from '@/scripts/components/notifications/NotificationRoot.vue'
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import ImpersonationBanner from './partials/ImpersonationBanner.vue'
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import AiChatDrawer from '@/scripts/features/company/ai/components/AiChatDrawer.vue'
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interface RouteMeta {
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ability?: string | string[]
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isSuperAdmin?: boolean
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isOwner?: boolean
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usesAdminBootstrap?: boolean
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}
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const globalStore = useGlobalStore()
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const route = useRoute()
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const userStore = useUserStore()
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const router = useRouter()
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const modalStore = useModalStore()
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const { t } = useI18n()
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const companyStore = useCompanyStore()
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const isAppLoaded = computed<boolean>(() => {
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return globalStore.isAppLoaded
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})
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const hasCompany = computed<boolean>(() => {
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return !!companyStore.selectedCompany || companyStore.isAdminMode
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})
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const usesAdminBootstrap = computed<boolean>(() => {
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return route.meta.usesAdminBootstrap === true
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})
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async function initializeLayout(): Promise<void> {
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const meta = route.meta as RouteMeta
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const res = await globalStore.bootstrap({
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adminMode: meta.usesAdminBootstrap === true,
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})
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if (res.admin_mode === true) {
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return
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}
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if (!res.current_company) {
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if (route.name !== 'no.company') {
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router.push({ name: 'no.company' })
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}
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return
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}
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if (meta.ability && !userStore.hasAbilities(meta.ability as string | string[])) {
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router.push({ name: 'settings.account' })
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} else if (meta.isSuperAdmin && !userStore.currentUser?.is_super_admin) {
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router.push({ name: 'dashboard' })
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} else if (meta.isOwner && !userStore.currentUser?.is_owner) {
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router.push({ name: 'settings.account' })
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}
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if (
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companyStore.selectedCompanySettings.bulk_exchange_rate_configured === 'NO'
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) {
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modalStore.openModal({
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componentName: 'ExchangeRateBulkUpdateModal',
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title: t('exchange_rates.bulk_update'),
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size: 'sm',
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})
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}
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}
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onMounted(() => {
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void initializeLayout()
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})
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watch(usesAdminBootstrap, (isAdminBootstrap, previousValue) => {
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if (previousValue !== undefined && isAdminBootstrap !== previousValue) {
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void initializeLayout()
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}
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})
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</script>
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