Files
InvoiceShelf/resources/scripts/layouts/CompanyLayout.vue
Darko Gjorgjijoski e861fc1fc1 feat(ai): Phase 2 — chat assistant with tool-calling
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.
2026-04-12 08:00:00 +02:00

120 lines
3.3 KiB
Vue

<template>
<div v-if="isAppLoaded" class="h-full">
<NotificationRoot />
<ImpersonationBanner />
<SiteHeader />
<SiteSidebar v-if="hasCompany" />
<main
:class="[
'h-screen h-screen-ios overflow-y-auto min-h-0 transition-all duration-300',
hasCompany
? globalStore.isSidebarCollapsed
? 'md:pl-16'
: 'md:pl-56 xl:pl-64'
: '',
]"
>
<div class="pt-16 pb-16">
<router-view />
</div>
</main>
<!-- AI chat drawer always mounted, visibility driven by the store -->
<AiChatDrawer v-if="globalStore.ai?.enabled && globalStore.ai?.chat_enabled" />
</div>
<BaseGlobalLoader v-else />
</template>
<script setup lang="ts">
import { useI18n } from 'vue-i18n'
import { onMounted, computed, watch } from 'vue'
import { useRoute, useRouter } from 'vue-router'
import { useGlobalStore } from '@/scripts/stores/global.store'
import { useUserStore } from '@/scripts/stores/user.store'
import { useModalStore } from '@/scripts/stores/modal.store'
import { useCompanyStore } from '@/scripts/stores/company.store'
import SiteHeader from './partials/SiteHeader.vue'
import SiteSidebar from './partials/SiteSidebar.vue'
import NotificationRoot from '@/scripts/components/notifications/NotificationRoot.vue'
import ImpersonationBanner from './partials/ImpersonationBanner.vue'
import AiChatDrawer from '@/scripts/features/company/ai/components/AiChatDrawer.vue'
interface RouteMeta {
ability?: string | string[]
isSuperAdmin?: boolean
isOwner?: boolean
usesAdminBootstrap?: boolean
}
const globalStore = useGlobalStore()
const route = useRoute()
const userStore = useUserStore()
const router = useRouter()
const modalStore = useModalStore()
const { t } = useI18n()
const companyStore = useCompanyStore()
const isAppLoaded = computed<boolean>(() => {
return globalStore.isAppLoaded
})
const hasCompany = computed<boolean>(() => {
return !!companyStore.selectedCompany || companyStore.isAdminMode
})
const usesAdminBootstrap = computed<boolean>(() => {
return route.meta.usesAdminBootstrap === true
})
async function initializeLayout(): Promise<void> {
const meta = route.meta as RouteMeta
const res = await globalStore.bootstrap({
adminMode: meta.usesAdminBootstrap === true,
})
if (res.admin_mode === true) {
return
}
if (!res.current_company) {
if (route.name !== 'no.company') {
router.push({ name: 'no.company' })
}
return
}
if (meta.ability && !userStore.hasAbilities(meta.ability as string | string[])) {
router.push({ name: 'settings.account' })
} else if (meta.isSuperAdmin && !userStore.currentUser?.is_super_admin) {
router.push({ name: 'dashboard' })
} else if (meta.isOwner && !userStore.currentUser?.is_owner) {
router.push({ name: 'settings.account' })
}
if (
companyStore.selectedCompanySettings.bulk_exchange_rate_configured === 'NO'
) {
modalStore.openModal({
componentName: 'ExchangeRateBulkUpdateModal',
title: t('exchange_rates.bulk_update'),
size: 'sm',
})
}
}
onMounted(() => {
void initializeLayout()
})
watch(usesAdminBootstrap, (isAdminBootstrap, previousValue) => {
if (previousValue !== undefined && isAdminBootstrap !== previousValue) {
void initializeLayout()
}
})
</script>