quantum-ai-v3/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. First think through the problem, read the codebase for relevant files, and write a plan to tasks/todo.md.

The plan should have a list of todo items that you can check off as you complete them.

Before you begin working, check in with me and I will verify the plan.

Then, begin working on the todo items, marking them as complete as you go.

Please every step of the way just give me a high level explanation of what changes you made.

Make every task and code change you do as simple as possible. We want to avoid making any massive or complex changes. Every change should impact as little code as possible. Everything is about simplicity.

Finally, add a review section to the todo.md file with a summary of the changes you made and any other relevant information.

DO NOT BE LAZY. NEVER BE LAZY. IF THERE IS A BUG FIND THE ROOT CAUSE AND FIX IT. NO TEMPORARY FIXES. YOU ARE A SENIOR DEVELOPER. NEVER BE LAZY

MAKE ALL FIXES AND CODE CHANGES AS SIMPLE AS HUMANLY POSSIBLE. THEY SHOULD ONLY IMPACT NECESSARY CODE RELEVANT TO THE TASK AND NOTHING ELSE. IT SHOULD IMPACT AS LITTLE CODE AS POSSIBLE. YOUR GOAL IS TO NOT INTRODUCE ANY BUGS. IT’S ALL ABOUT SIMPLICITY

📚 Documentation

Complete documentation is now organized in the /docs/ directory:

• 📖 Main Index: docs/README.md
• 🚀 Deployment: docs/deployment/ - Railway deployment, domain changes, environment setup
• 🛠️ Development: docs/development/ - Local setup, agent creation, testing
• ⚙️ Operations: docs/operations/ - Database management, troubleshooting, maintenance

Quick Links:

• Development Workflow - 🚀 START HERE - Daily development workflow
• Deployment Control Guide - Branch strategy and Railway control
• Subagents Guide - AI development assistants
• Auto-Documentation System - Automated documentation updates
• Railway Deployment - Production deployment guide
• Environment Variables - Complete environment reference

Project Overview

Quantum Tasks AI is a Django-based AI agent marketplace platform where users can purchase and interact with specialized AI agents. The system uses a unified workflows architecture with direct N8N webhook integration for maximum scalability and maintainability.

Development Commands

Environment Setup

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # Linux/Mac
# or
venv\Scripts\activate  # Windows

# Install dependencies
pip install -r requirements.txt

Database Operations

# Create and apply migrations
python manage.py makemigrations
python manage.py migrate

# Check Django configuration
python manage.py check

Development Server

# Quick start (recommended - handles migrations and environment)
./run_dev.sh

# Manual start
python manage.py runserver

Testing

# Test health check endpoint
curl http://localhost:8000/health/

# Test agent configuration loading
DJANGO_SETTINGS_MODULE=netcop_hub.settings python -c "import django; django.setup(); from workflows.config.agents import get_all_agents; print(f'✅ {len(get_all_agents())} agents loaded')"

File Management

# File uploads are stored in media/uploads/
# Files are automatically cleaned up after processing

Documentation Management

# Auto-update documentation (manual trigger)
./scripts/update_docs_manual.sh

# Setup git hooks for automatic documentation updates
./scripts/setup_git_hooks.sh

# Run documentation update script directly
python3 scripts/auto_update_docs.py

N8N Workflow Management

# List all workflows (local and N8N instance)
python manage_n8n_workflows.py list

# Import specific agent workflow to N8N
python manage_n8n_workflows.py import data_analyzer

# Export workflow from N8N to local files
python manage_n8n_workflows.py export social_ads_generator

# Sync all workflows between local and N8N
python manage_n8n_workflows.py sync

# Backup all workflows with timestamp
python manage_n8n_workflows.py backup

# Deploy all workflows (recommended for production)
./deploy_n8n_workflows.sh

Architecture Overview

Unified Workflows System Architecture

Scalable Plugin-Based Design: The system uses a unified workflows architecture that eliminates the scalability issues of hard-coded agent handling. All agents are processed through a single, extensible system.

Core Components

Workflows App (workflows/):

• workflows/views.py - Unified handler for all agents with plugin architecture
• workflows/processors/ - Agent-specific processing logic with shared base class
• workflows/config/agents.py - Simple 5-line agent configuration system
• workflows/templates/workflows/ - Individual agent templates with shared components

Working Agents:

1. Social Ads Generator - Create engaging social media advertisements (6.0 AED)
2. Job Posting Generator - Create professional job postings (10.0 AED)
3. Data Analyzer - AI-powered analysis of data files (8.0 AED)

Agent System Architecture:

• Configuration-driven agent definitions in workflows/config/agents.py
• Dynamic template loading based on agent slug
• Direct N8N webhook integration with no Django fallbacks
• Shared CSS from main static directory ({% static 'css/agent-base.css' %})
• Self-contained JavaScript utilities in main static directory ({% static 'js/workflows-core.js' %})

N8N Workflow Architecture

⚠️ IMPORTANT: N8N runs on a SEPARATE server from your Django application. They communicate via HTTP webhooks.

System Architecture:

User Request → Django App (Railway) → HTTP POST → N8N Instance (Separate Hosting) → AI Processing → JSON Response → Django → User Display

Hosting Separation:

• Django App: Deployed on Railway (your main application)
• N8N Instance: Deployed separately (N8N Cloud, separate Railway project, or self-hosted)
• Communication: HTTP POST requests between the two systems

Webhook Agent Integration:

• Django application sends POST requests to N8N webhook URLs (external server)
• N8N workflows process requests using AI services (OpenAI GPT-4)
• N8N workflows return structured JSON responses back to Django
• Environment variables configure webhook URLs pointing to your N8N instance

Workflow Management:

• manage_n8n_workflows.py - Import, export, sync, and backup workflows
• deploy_n8n_workflows.sh - Automated deployment script
• Individual agent README files document setup and configuration
• Version control tracks workflow changes alongside agent code

Environment Configuration:

• N8N_WEBHOOK_DATA_ANALYZER - Data analysis workflow URL
• N8N_WEBHOOK_SOCIAL_ADS - Social ads generation workflow URL
• N8N_WEBHOOK_JOB_POSTING - Job posting generation workflow URL
• N8N_WEBHOOK_FIVE_WHYS - Five whys analysis workflow URL

Core System Architecture

Authentication System (authentication/):

• Custom User model with wallet integration
• Password reset functionality with email tokens
• Profile management

Payment System (wallet/):

• Stripe integration for payments
• User balance tracking
• Transaction history

Core App (core/):

• Homepage and platform overview
• Pricing page for non-authenticated users
• Platform-wide functionality only (no business logic)

Agent Base App (agent_base/):

• Agent marketplace and catalog views
• Agent discovery and filtering
• Cross-agent functionality and API endpoints

Wallet App (wallet/):

• Complete payment system with Stripe integration
• Wallet dashboard and transaction history
• Payment processing and webhook handling

Workflows App (workflows/):

• Unified agent processing system with hybrid architecture
• Individual agent templates with shared components and utilities
• Direct N8N webhook integration with Django fallback processing
• Configuration-driven agent definitions (no separate Django apps needed)
• Shared CSS from main static directory ({% static 'css/agent-base.css' %})
• Self-contained JavaScript utilities in main static directory ({% static 'js/workflows-core.js' %})
• Architecture Decision: Uses external CSS/JS to avoid Django static file conflicts
• Template Component Architecture with local components in workflows/templates/workflows/components/

URL Structure

/                           # Homepage (core app)
/pricing/                   # Pricing page (core app)
/health/                    # Health check endpoint for monitoring (core app)
/contact/                   # Contact form submission (core app)
/agents/                    # Agent marketplace (workflows app)
/agents/<agent-slug>/       # Unified workflows system for all agents
/auth/                      # Authentication (login, register, profile)
/wallet/                    # Wallet management and top-up (wallet app)
/wallet/stripe/             # Stripe webhooks and debug (wallet app)
/admin/                     # Django admin

Template Architecture

Component-Based System:

• templates/base.html - Main layout with navigation and auth
• templates/components/ - Reusable components (agent_header, wallet_card, etc.)
• templates/core/ - Platform pages (homepage, pricing)
• templates/wallet/ - Payment and wallet management
• templates/authentication/ - User authentication pages
• workflows/templates/workflows/ - Individual agent templates using shared components
• workflows/templates/workflows/marketplace.html - Agent marketplace

CSS Architecture:

• base.css - Global styles and CSS variables
• agent-base.css - Agent page styling
• header-component.css - Header styling
• Component-specific CSS files

Database Design

Key Models:

• User - Extended Django user with wallet functionality
• WorkflowRequest - Agent processing requests
• WorkflowResponse - Agent processing results
• WorkflowAnalytics - Usage analytics and metrics

Note: Agent metadata is now configuration-driven via workflows/config/agents.py instead of database models.

Environment Configuration

Required environment variables (see .env.example):

• SECRET_KEY - Django secret key
• DEBUG - Development mode flag
• Stripe keys for payment processing
• Email configuration for password reset

Simplified Agent Creation Process

New agents require only 5 lines of configuration:

Step 1: Add Agent Configuration

# In workflows/config/agents.py - add to AGENT_CONFIGS
'your-agent-slug': {
    'name': 'Your Agent Name',
    'description': 'What this agent does',
    'price': 3.0,
    'icon': '🤖',
    'webhook_url': 'http://localhost:5678/webhook/your-webhook-id',
},

Step 2: Create Template

<!-- Copy workflows/templates/workflows/agent-template-starter.html -->
<!-- Customize form fields for your agent -->
<!-- All shared components included automatically -->

Step 3: Test Agent

# Agent automatically available at /agents/{slug}/
# Plugin architecture handles everything automatically

Benefits of New Architecture

• ✅ Infinite Scalability - New agents need only 5 lines of config
• ✅ No Code Duplication - Shared processors and webhook strategies
• ✅ Plugin Architecture - Dynamic processor loading
• ✅ Consistent UI - Shared components across all agents
• ✅ Easy Maintenance - Single codebase for all agent processing
• ✅ Type Safety - Abstract base classes enforce proper implementation slug="your-agent-slug", description="What this agent does", price=3.0, is_active=True )

### Configuration Comparison

**Before (Complex):**
```python
# 50+ lines of complex configuration
'agent-slug': {
    'name': 'Agent Name',
    'form_sections': [
        {
            'title': '📝 Section Title',
            'fields': [
                {
                    'name': 'field_name',
                    'type': 'textarea',
                    'label': 'Field Label',
                    'placeholder': 'Placeholder text...',
                    'required': True,
                    'rows': 4,
                    'validation': {...},
                    # ... 20+ more lines per field
                }
            ]
        }
    ],
    'message_template': 'Complex template string...',
    'result_format': 'Format description...'
}

After (Simplified):

# 5 lines of essential metadata
'agent-slug': {
    'name': 'Agent Name',
    'description': 'What this agent does',
    'price': 3.0,
    'icon': '🤖',
    'webhook_url': 'http://localhost:5678/webhook/...',
},

Template Structure

All templates use shared components for consistency:

{% extends 'base.html' %}
{% load static %}

{% block content %}
<!-- Shared components (automatic functionality) -->
{% include "workflows/components/agent_header.html" %}
{% include "workflows/components/quick_agents_panel.html" %}

<!-- Your agent-specific form (customize this part only) -->
<div class="agent-widget widget-large">
    <form id="agentForm" method="POST">
        <!-- Your unique form fields go here -->
    </form>
</div>

<!-- Shared components (automatic functionality) -->
{% include "workflows/components/processing_status.html" %}
{% include "workflows/components/results_container.html" %}
{% endblock %}

Enhanced JavaScript Utilities

All agents automatically get access to enhanced WorkflowsCore utilities:

• WorkflowsCore.showToast(message, type) - Toast notifications
• WorkflowsCore.showProcessing(title) - Show processing status
• WorkflowsCore.showResults(content, title) - Display results
• WorkflowsCore.copyToClipboard(text, message) - Copy functionality
• WorkflowsCore.downloadAsFile(content, filename) - File downloads
• WorkflowsCore.handleFileChange(input) - File upload handling
• Plus many more utilities for common agent operations

Development Workflow

1. Start with Template Starter - Copy agent-template-starter.html
2. Customize Form Section - Replace example fields with your agent's inputs
3. Add Configuration - 5-line config entry
4. Map Template - One line in views.py
5. Test & Deploy - Agent ready to use!

Benefits:

• ✅ 90% less code - 5 lines vs 50+ lines of configuration
• ✅ Shared components - Consistent UI, automatic updates
• ✅ Enhanced utilities - Advanced JavaScript functions included
• ✅ Dynamic data - Agent lists update automatically
• ✅ Simple maintenance - Easy to understand and modify

Agent Creation Checklist

Use this checklist to ensure proper component architecture and avoid legacy contamination:

✅ Pre-Development Checklist

• Read Template Component Architecture section above
• Review agent_template_prototype.html for UI patterns
• Understand WorkflowsCore utilities available
• Never open existing agent templates for reference

✅ Development Checklist

• Start with agent-template-starter.html as base
• Use required component includes:
  • {% include "workflows/components/agent_header.html" %}
  • {% include "workflows/components/quick_agents_panel.html" %}
  • {% include "workflows/components/processing_status.html" %}
  • {% include "workflows/components/results_container.html" %}
• Link to shared CSS: {% static 'css/agent-base.css' %}
• Link to WorkflowsCore: {% static 'js/workflows-core.js' %}
• Write only agent-specific form fields (50-100 lines max)
• Use WorkflowsCore utilities instead of custom JavaScript

✅ Quality Assurance Checklist

• Template under 500 lines total
• Inline JavaScript under 100 lines
• Agent-specific CSS under 200 lines
• No duplicate utility functions
• All shared functionality uses components
• Copy/download/reset buttons work automatically

❌ Red Flags (Reject if Present)

• Template over 500 lines
• Custom copyResults() function
• Custom downloadResults() function
• Custom showToast() implementation
• Inline agent header HTML
• Inline quick agents panel HTML
• Duplicate CSS from agent-base.css

📋 Review Questions

1. Does this template follow the component architecture?
2. Could this code be maintained by someone else easily?
3. Would adding a new shared feature require updating this template?
4. Does this template look similar to other agent templates?

If any answer is "No", refactor using component architecture.

Template Component Architecture

CRITICAL: Always Use Component-Based Architecture

All agent templates MUST use the established component system. Never recreate shared functionality inline.

⚠️ WARNING: Avoid Legacy System Contamination

When creating new agents, NEVER use existing legacy agent templates as reference. This leads to:

• ❌ 1,000+ line templates instead of clean 300-line templates
• ❌ Duplicate JavaScript instead of WorkflowsCore utilities
• ❌ Inline CSS instead of shared component styles
• ❌ Technical debt imported into clean architecture

✅ CORRECT Process for New Agents:

1. Start with agent_template_prototype.html for UI patterns
2. Use Template Component Architecture components
3. Add only agent-specific form fields
4. Leverage WorkflowsCore for all utilities
5. Result: Clean, maintainable templates

❌ INCORRECT Process (Legacy Contamination):

1. Copy from existing working agent template
2. Modify inline code for new functionality
3. Result: Bloated, unmaintainable templates

📚 Additional Resources:

• Legacy Migration Guide - How to convert existing agents properly
• Agent Template Prototype - Perfect UI reference
• WorkflowsCore Documentation - Shared utility functions

Required Components for Every Agent:

{% extends 'base.html' %}
{% load static %}

{% block extra_css %}
<link rel="stylesheet" href="{% static 'css/agent-base.css' %}">
{% endblock %}

{% block content %}
<!-- Agent Header Component -->
{% include "components/agent_header.html" with agent_title="Your Agent Name" agent_subtitle="Description" %}

<!-- Quick Agents Panel Component -->
{% include "components/quick_agents_panel.html" %}

<!-- Agent-Specific Form Content ONLY -->
<div class="agent-grid">
    <div class="agent-widget widget-large">
        <!-- ONLY write agent-specific form/content here -->
    </div>
    <!-- How It Works widget using existing patterns -->
</div>

<!-- Processing Status Component -->
{% include "components/processing_status.html" with status_title="Processing..." status_text="Please wait..." %}

<!-- Results Component -->
{% include "components/results_container.html" with results_title="Results" %}
{% endblock %}

Component Checklist:

• ✅ {% include "components/agent_header.html" %} - Page header and wallet card
• ✅ {% include "components/quick_agents_panel.html" %} - Agent navigation
• ✅ {% include "components/processing_status.html" %} - Loading states
• ✅ {% include "components/results_container.html" %} - Result display
• ✅ <link rel="stylesheet" href="{% static 'css/agent-base.css' %}"> - Shared CSS

Template Best Practices:

1. Check Existing Agents First - Look at data_analyzer or social_ads_generator templates for patterns
2. Component-First Development - Use includes for all shared functionality
3. Agent-Specific Content Only - Write only unique form logic and processing
4. Line Count Target - Keep templates under 500 lines by leveraging components
5. Consistency Verification - Ensure all agents follow the same component pattern

Anti-Pattern Warning: ❌ NEVER recreate these inline:

• Agent headers with wallet cards
• Quick agents navigation panels
• Processing status displays
• Results containers with action buttons
• CSS frameworks or JavaScript utilities

Why This Matters:

• Maintains consistent UI/UX across all agents
• Ensures easier maintenance and updates
• Reduces code duplication and template bloat
• Provides shared functionality improvements automatically

How to Request Component Architecture

When asking Claude to work on agent templates, use these specific phrases to ensure component architecture is applied:

For New Agents:

• "Apply Template Component Architecture from CLAUDE.md to create [agent name]"
• "Create [agent name] using the component architecture pattern"
• "Follow Template Component Architecture guidelines for [agent name]"

For Existing Agents:

• "Convert [agent name] to Template Component Architecture from CLAUDE.md"
• "Optimize [agent name] template using component architecture"
• "Apply component pattern to [agent name] like data_analyzer and social_ads_generator"

Key Trigger Phrase: "Template Component Architecture"

This ensures Claude will: ✅ Use component includes instead of inline HTML ✅ Link to agent-base.css instead of recreating CSS ✅ Keep templates under 500 lines ✅ Follow established patterns from working agents ✅ Maintain consistency across the platform

Deployment & Production

Railway.app (Recommended)

• Configuration: railway.json with optimized Gunicorn settings
• Deployment Guide: See RAILWAY_DEPLOYMENT_GUIDE.md for step-by-step instructions
• Environment Variables: Use RAILWAY_ENV_TEMPLATE.md for production configuration
• Health Check: /health/ endpoint for monitoring and load balancers
• Verification: Follow POST_DEPLOYMENT_CHECKLIST.md after deployment

Production Features:

• PostgreSQL database with connection pooling
• Redis caching for sessions and performance
• SSL certificates and HTTPS enforcement
• Static files served via WhiteNoise
• Database migrations run automatically on deployment
• Rate limiting and security headers
• Custom 404/500 error pages

Health Monitoring:

# Check application health
curl https://your-domain.railway.app/health/

# Expected response:
{
  "status": "healthy",
  "checks": {
    "database": {"status": "healthy", "response_time_ms": 2.5},
    "agents": {"status": "healthy", "active_count": 7}
  }
}

Production Commands:

# Test deployment readiness
DEBUG=False python manage.py check --deploy

# Collect static files for production
python manage.py collectstatic --noinput

# Test health check locally
python manage.py runserver
curl http://localhost:8000/health/

File Upload Handling

• media/uploads/[agent_name]/ - User uploaded files
• Cleanup command available: python manage.py cleanup_uploads
• Files are processed by individual agent processors

Architecture Principles

Single Responsibility:

• core - Platform presentation and static pages only
• workflows - Unified agent processing with plugin architecture and marketplace
• wallet - Complete payment system with Stripe integration
• authentication - User authentication and management

URL Namespacing:

• Use workflows:marketplace for marketplace links
• Use workflows:agent for individual agent pages
• Use wallet:wallet for wallet-related links
• Use core:homepage for platform homepage

Template Organization:

• Templates are organized by app responsibility
• Use proper URL namespacing in templates
• All agent functionality unified in workflows app

Always run python manage.py check before making database-related changes to ensure proper configuration.

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