quantum-ai-v3/CLAUDE.md

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

# 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

# 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

# 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)

# Format code
black .

# Sort imports
isort .

# Lint code
flake8

# Type checking (if available)
mypy .

Production Commands

# 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 System: The platform supports 8 total agents across 6 categories:

• 4 Webhook Agents (N8N integration): Social Ads Generator, Job Posting Generator, PDF Summarizer, 5 Whys Analyzer
• 4 Direct Access Agents (External forms): CyberSec Career Navigator, AI Brand Strategist, Lean Six Sigma Expert, SWOT Analysis Expert

For detailed agent information and creation instructions, see docs/AGENT_CREATION.md.

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/{slug}/access/  # Direct access agent 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

For comprehensive agent creation instructions, see docs/AGENT_CREATION.md.

Quick Summary:

1. Create JSON config in agents/configs/agents/your-agent-name.json
2. Run python manage.py populate_agents
3. Agent appears in marketplace automatically

The platform supports 2 agent types:

• Webhook Agents - N8N integration with dynamic forms
• Direct Access Agents - External forms (JotForm, etc.) with embedded interfaces

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 COMPREHENSIVE SYSTEM

• 8 agents confirmed working and tested (4 webhook + 4 direct access)
• 6 categories with clean, logical organization
• Dual integration architecture with clear separation and documentation
• Streamlined agent creation via JSON configs + populate_agents command
• Scalable architecture ready for 100+ agents

Current Agents:

• Webhook Agents (4): Social Ads Generator, Job Posting Generator, PDF Summarizer, 5 Whys Analyzer
• Direct Access Agents (4): CyberSec Career Navigator, AI Brand Strategist, Lean Six Sigma Expert, SWOT Analysis Expert

Latest Changes:

• Added SWOT Analysis Expert with proper category assignment (analysis)
• Streamlined agent creation process to use only JSON + populate_agents
• Separated documentation into focused files (docs/AGENT_CREATION.md)
• Removed 10+ redundant management commands for cleaner codebase
• Fixed marketplace consistency and updated documentation

Architecture Status:

• Error-free agent creation via JSON configuration approach
• Railway-ready deployment with automatic agent population
• Consistent UI standards across all marketplace components
• Comprehensive documentation prevents common development mistakes

Future Development:

• New agents should follow patterns in docs/AGENT_CREATION.md
• Use existing categories first to avoid unnecessary proliferation
• JSON + populate_agents is the only supported creation method

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Last updated: 2025-01-08

Documentation

• Quick Agent Requests: See docs/AGENT_REQUEST_TEMPLATE.md for simple agent request template
• Agent Creation: See docs/AGENT_CREATION.md for comprehensive agent creation guide
• Project Overview: This file (CLAUDE.md) for Django development and architecture