f939133fe0a82e3414541079fcc80bc9c8ac759e
- Created `quick-replies.blade.php` for managing quick replies. - Added `settings.blade.php` for admin settings management. - Implemented `ticket-show.blade.php` to display ticket details. - Introduced `timeline-card.blade.php` component for displaying timeline information. Enhance quick reply management functionality - Developed `quick-reply-manager.blade.php` for creating and editing quick replies. - Integrated Livewire for dynamic interaction and validation. Implement settings page for AI configuration - Created `settings-page.blade.php` for managing AI settings, including prompts and provider instances. - Added functionality for managing models and embeddings. Add ticket show functionality with real-time updates - Implemented ticket details view with processing status and tool call logs. - Added support for displaying article suggestions and error messages. Create unit tests for AI classifier and domain info tool - Added `AIClassifierServiceTest.php` to validate AI classifier functionality. - Implemented `DomainInfoToolTest.php` for domain parameter validation. - Created `OxxaClientTest.php` to test API interactions and password hashing.
TicketAssistant (Laravel 13 + pgvector + external Ollama)
AI-powered customer support ticket system using semantic retrieval + LLM re-ranking.
Requirements
- Docker Desktop
- Docker Compose v2
- Ollama running on a reachable network server
Quick Start (Docker)
- Create environment file
cp .env.docker.example .env
- Set the external Ollama URL in
.env
OLLAMA_BASE_URL=http://<OLLAMA_SERVER_IP_OR_HOSTNAME>:11434
- Build and start containers
docker compose up -d --build
- Install PHP dependencies in app container
docker compose exec app composer install
- Generate app key and run database setup
docker compose exec app php artisan key:generate
docker compose exec app php artisan migrate --seed
API base URL: http://localhost:8090/api
Admin dashboard: http://localhost:8090/admin/dashboard
Admin Dashboard (Blade + Livewire)
/admin/dashboard: KPI cards + recente tickets + recente AI decisions/admin/articles: artikel aanmaken + artikeloverzicht/admin/tickets: tickets met AI-classificatie-overzicht
Business logic is isolated in service classes:
App\Services\AdminDashboardServiceApp\Services\AdminArticleServiceApp\Services\AdminTicketService
Services
web: Nginx (public endpoint)app: PHP-FPM Laravel runtimeworker: queue worker for async jobspostgres: PostgreSQL 17 + pgvector
Notes
- No external AI APIs are used.
- Ollama runs outside Docker on your network.
- Set
QUEUE_EMBEDDINGS=truefor async article embedding generation.
Helpdesk Scraper Command
Importeer artikelen vanaf InternetToday Helpdesk (categorieen + subcategorieen):
docker compose exec app php artisan helpdesk:import
Opties:
# test zonder schrijven
docker compose exec app php artisan helpdesk:import --dry-run
# verwerk alleen eerste N artikelen
docker compose exec app php artisan helpdesk:import --limit=25
# custom base-url
docker compose exec app php artisan helpdesk:import --base-url=https://www.internettoday.nl/helpdesk
Description
Languages
PHP
57%
Blade
42.7%
JavaScript
0.1%