# CLAUDE.md This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. ## Project Overview Quantum Tasks AI is a Django-based AI agent marketplace platform. Users can access AI agent services through a web interface, with execution handled via two distinct systems: N8N webhook integrations and direct form access integrations. **Key Architecture:** - **Django Framework**: Main web application using Django 5.2.4 - **Agent System**: Database-driven agents app with dual integration systems: - **Webhook Agents**: N8N integrations for complex processing - **Direct Access Agents**: Form-based integrations (JotForm, etc.) - **Authentication**: Custom user model with email verification - **Payments**: Stripe integration with wallet system (supports free agents) - **Database**: SQLite for development, PostgreSQL for production (Railway) - **Static Files**: WhiteNoise for production static file serving ## Development Commands ### Environment Setup ```bash # Use virtual environment source venv/bin/activate # Install dependencies pip install -r requirements.txt # Production pip install -r requirements-dev.txt # Development # Start development server ./run_dev.sh # Recommended - includes migration checks # OR python manage.py runserver # Direct Django server ``` ### Database Operations ```bash # Make migrations python manage.py makemigrations # Apply migrations python manage.py migrate # Create superuser python manage.py createsuperuser # Database shell python manage.py dbshell # Check database configuration python manage.py check_db ``` ### Testing ```bash # Run Django tests python manage.py test # Run pytest (if configured) pytest # Run specific app tests python manage.py test authentication python manage.py test agents python manage.py test wallet # Custom test scripts python tests/simple_test.py python tests/check_agents.py ``` ### Code Quality (Development Dependencies) ```bash # Format code black . # Sort imports isort . # Lint code flake8 # Type checking (if available) mypy . ``` ### Production Commands ```bash # Collect static files python manage.py collectstatic --noinput # Production server (via Gunicorn) gunicorn netcop_hub.wsgi:application ``` ## Core Architecture ### Apps Structure - **authentication/**: Custom user model, email verification, password reset - **core/**: Homepage, error handlers, utility functions - **agents/**: Database-driven agent system (marketplace, execution, models, REST API) - **wallet/**: Stripe payments, wallet management, transactions ### Agent System (agents app) **Key Files:** - `agents/models.py`: Agent, AgentCategory, AgentExecution, ChatSession models - `agents/views.py`: Dual integration systems and web interface views - `agents/templates/agents/`: Dynamic agent templates and marketplace - `agents/management/commands/`: Agent creation and management commands - `templates/career_navigator.html`: Direct access form template **Dual Integration Systems:** **System 1: Webhook Agents (N8N Integration)** 1. User browses marketplace (`/agents/`) 2. Clicks "Try Now" → Agent detail page (`/agents/{slug}/`) 3. Fills dynamic form → Form submission calls `/agents/api/execute/` 4. N8N webhook processes request and returns response 5. Results displayed with file upload support **System 2: Direct Access Agents (Form Integration)** 1. User browses marketplace (`/agents/`) 2. Clicks special "Try Now" button → Direct access (`/agents/{slug}/access/`) 3. Payment processed → Redirect to form page (`/agents/{slug}/`) 4. Form displays embedded interface (JotForm, etc.) 5. User interacts directly with external form system ### Database Models **User Management:** - `authentication.User`: Custom user model with email verification - `authentication.PasswordResetToken`: Password reset tokens - `authentication.EmailVerificationToken`: Email verification tokens **Agents:** - `agents.Agent`: Agent definitions with JSON form schemas and pricing - `agents.AgentCategory`: Agent categories with icons and descriptions - `agents.AgentExecution`: Execution history and results tracking **Payments:** - `wallet.Wallet`: User wallet with balance tracking - `wallet.WalletTransaction`: Transaction history and Stripe integration ### Settings Configuration **Environment Variables (Required for Production):** - `SECRET_KEY`: Django secret key - `ALLOWED_HOSTS`: Comma-separated list of allowed hosts - `EMAIL_HOST_USER`, `EMAIL_HOST_PASSWORD`: SMTP credentials - `STRIPE_SECRET_KEY`, `STRIPE_WEBHOOK_SECRET`: Stripe API keys - `DATABASE_URL`: PostgreSQL connection string (Railway) **Current Agents:** The platform supports both webhook-based agents (N8N integration) and direct access agents (embedded forms): **Webhook Agents (N8N Integration):** 1. **Social Ads Generator** (social-ads-generator) - 6.00 AED - Creates compelling social media advertisements - Form fields: description, social_platform, include_emoji, language - Webhook: N8N endpoint for social media ad generation 2. **Job Posting Generator** (job-posting-generator) - 10.00 AED - Creates professional job postings - Form fields: job_title, company_name, job_description, seniority_level, contract_type, location, language - Webhook: N8N endpoint for job posting generation 3. **PDF Summarizer** (pdf-summarizer) - 8.00 AED - Analyzes and summarizes PDF documents with file upload - Form fields: pdf_file (file upload with drag-and-drop), summary_type - Webhook: N8N endpoint for PDF processing with multipart file support 4. **5 Whys Analyzer** (5-whys-analyzer) - 15.00 AED - Interactive chat-based root cause analysis using 5 Whys methodology - Chat interface with real-time N8N webhook integration - Session timeout: 2 hours **Direct Access Agents (Embedded Forms):** 5. **CyberSec Career Navigator** (cybersec-career-navigator) - 0.00 AED - JotForm-based career guidance consultation - Embedded white-label interface - Session duration: 2 hours - Direct access URL: `/agents/career-navigator/` ### URL Structure ``` / # Homepage (core app) /digital-branding/ # Digital branding services page /auth/ # Authentication (login, register, etc.) /agents/ # Agent marketplace (agents app) /agents/{slug}/ # Individual agent pages (webhook agents) /agents/career-navigator/ # Career navigator form page /agents/career-navigator/access/ # Career navigator payment processing /wallet/ # Wallet management /admin/ # Django admin ``` ### Key Components **Agent Configuration (Database-driven):** - All agent metadata stored in database (pricing, descriptions, webhooks) - JSON form schemas for dynamic form generation - Easy to add new agents via management commands or admin interface **Templates:** - `templates/base.html`: Main layout with navigation - `templates/components/`: Reusable UI components - `agents/templates/agents/`: Dynamic agent forms and marketplace pages ## Adding New Agents 1. **Create management command** (recommended approach): ```python # agents/management/commands/create_new_agent.py from django.core.management.base import BaseCommand from agents.models import AgentCategory, Agent class Command(BaseCommand): def handle(self, *args, **options): category, _ = AgentCategory.objects.get_or_create( slug='category-slug', defaults={'name': 'Category Name', 'icon': '🤖'} ) Agent.objects.get_or_create( slug='agent-slug', defaults={ 'name': 'Agent Name', 'short_description': 'Brief description', 'description': 'Full description', 'category': category, 'price': 10.0, 'form_schema': { 'fields': [ { 'name': 'input_field', 'type': 'text', 'label': 'Input Field', 'required': True } ] }, 'webhook_url': 'http://your-n8n-webhook-url' } ) ``` 2. **Run the command**: `python manage.py create_new_agent` 3. **Update N8N workflow** to handle the new agent 4. **Agent will automatically appear** in marketplace with dynamic form generation **Supported Form Field Types:** - `text`: Text input - `textarea`: Multi-line text - `select`: Dropdown with options - `file`: File upload with drag-and-drop - `url`: URL input with validation - `checkbox`: Boolean checkbox ## Production Deployment **Railway Configuration:** - Automatic deployment from git repository - PostgreSQL database provided by Railway - Environment variables configured in Railway dashboard - Static files served via WhiteNoise **Security Features:** - CSRF protection enabled - Rate limiting on sensitive endpoints - Secure headers in production - HTTPS redirect and HSTS headers - Session and cookie security ## Development Notes - **Database**: Uses SQLite by default for development reliability - **Cache**: Redis preferred, falls back to local memory cache - **Email**: Console backend in development, SMTP in production - **Debug Tools**: Debug toolbar and Django extensions available in development - **Static Files**: Collected to `staticfiles/` directory for production - **Media Files**: User uploads stored in `media/` directory ## Common Development Tasks **Adding new environment variables:** 1. Add to `settings.py` with `config()` call 2. Add to required_env_vars list if production-required 3. Document in this file **Database changes:** 1. Make model changes 2. Run `python manage.py makemigrations` 3. Review migration file 4. Run `python manage.py migrate` **Testing agent webhooks locally:** 1. Use ngrok or similar to expose local server 2. Update webhook URLs in agent database records 3. Test agent execution flow 4. Check AgentExecution records and results display ## System Status **Current Status: ✅ STABLE WORKING SYSTEM** - All 5 agents confirmed working and tested (4 webhook + 1 direct access) - Dual integration architecture with clean separation - Digital branding services integration complete - Chat-based and form-based agent systems operational - White-label integration patterns established **Latest Changes:** - Implemented dual integration architecture (webhook + direct access) - Added CyberSec Career Navigator with JotForm integration - Enhanced agent marketplace with conditional button logic - Added digital branding services page - Cleaned up unused form API endpoints - Implemented 2-hour session timeout system - Fixed persistent success messages and UI consistency **Future Development:** - Optimization work available in feature/optimization-backup branch - Safe to add new agents via database-driven approach - Performance optimizations should be applied incrementally with testing --- Last updated: 2025-08-02 12:30:00