quantum-ai-v3/docs/AGENT_CREATION.md

Agent Creation Guide

Modern guide for adding new agents to the Quantum Tasks AI platform using the streamlined file-based system.

Overview

Quantum Tasks AI uses a simple file-based agent system:

1. Create JSON configuration file
2. Commit to git
3. Agent appears in marketplace automatically

Two Agent Types:

• Webhook Agents - N8N integrations with dynamic forms
• Direct Access Agents - External forms (JotForm, etc.) with payment processing

Current Agents (8 Total)

Webhook Agents (4)

• Social Ads Generator - 6.00 AED - Social media ad creation
• Job Posting Generator - 10.00 AED - Professional job postings
• PDF Summarizer - 8.00 AED - Document analysis and summarization
• 5 Whys Analyzer - 15.00 AED - Interactive root cause analysis

Direct Access Agents (4)

• CyberSec Career Navigator - FREE - Career guidance
• AI Brand Strategist - FREE - Brand strategy consultation
• Lean Six Sigma Expert - FREE - Process improvement
• SWOT Analysis Expert - FREE - Strategic analysis

Categories (6 Available)

Use existing categories first to avoid proliferation:

• analysis 🧠 - Problem-solving, strategic analysis
• career-education 🎓 - Career guidance, professional development
• document-processing 📄 - PDF analysis, file processing
• human-resources 💼 - Job postings, HR automation
• marketing 📢 - Social ads, content marketing
• consulting 💼 - Business consultation, expert advice

Creating New Agents

Step 1: Create JSON Configuration

Add new file in agents/configs/agents/your-agent-name.json:

Webhook Agent Example:

{
  "slug": "content-optimizer",
  "name": "Content Optimizer", 
  "short_description": "AI-powered content optimization and enhancement",
  "description": "Enhance your content with AI-powered optimization suggestions, tone analysis, and improvement recommendations.",
  "category": "marketing",
  "price": 5.0,
  "agent_type": "form",
  "system_type": "webhook",
  "form_schema": {
    "fields": [
      {
        "name": "content",
        "type": "textarea",
        "label": "Content to Optimize",
        "required": true
      },
      {
        "name": "content_type", 
        "type": "select",
        "label": "Content Type",
        "required": true,
        "options": [
          {"value": "blog", "label": "Blog Post"},
          {"value": "social", "label": "Social Media"},
          {"value": "email", "label": "Email Marketing"}
        ]
      }
    ]
  },
  "webhook_url": "http://localhost:5678/webhook/content-optimizer",
  "access_url_name": "",
  "display_url_name": ""
}

Direct Access Agent Example:

{
  "slug": "business-coach",
  "name": "Business Coach",
  "short_description": "Expert business coaching consultation", 
  "description": "Get professional business coaching insights and strategic guidance from experienced consultants.",
  "category": "consulting",
  "price": 0.0,
  "agent_type": "form", 
  "system_type": "direct_access",
  "form_schema": {"fields": []},
  "webhook_url": "https://form.jotform.com/your-form-id",
  "access_url_name": "agents:direct_access_handler",
  "display_url_name": "agents:direct_access_display"
}

Step 2: Commit to Git

git add agents/configs/agents/your-agent-name.json
git commit -m "Add new agent: Your Agent Name"
git push

Step 3: Done!

• Development: Restart server to see new agent
• Production: Railway auto-deploys and agent appears in marketplace

JSON Configuration Reference

Required Fields:

• slug - URL identifier (kebab-case)
• name - Display name
• short_description - Brief marketplace description
• description - Full description
• category - Must match existing category
• price - Price in AED (0.0 for free)
• agent_type - Always "form"
• system_type - "webhook" or "direct_access"

System-Specific Fields:

Webhook Agents:

• form_schema - Form field definitions
• webhook_url - N8N webhook endpoint
• access_url_name - Empty ""
• display_url_name - Empty ""

Direct Access Agents:

• form_schema - Usually {"fields": []}
• webhook_url - External form URL
• access_url_name - "agents:direct_access_handler"
• display_url_name - "agents:direct_access_display"

Form Field Types (Webhook Agents)

• text - Single-line text input
• textarea - Multi-line text input
• select - Dropdown with options array
• file - File upload with drag-and-drop
• url - URL input with validation
• checkbox - Boolean checkbox

Custom Integration (Advanced)

For agents needing custom behavior, add views to appropriate modules:

• API endpoints: agents/api_views.py
• Chat functionality: agents/chat_views.py
• Web interfaces: agents/web_views.py
• Direct access handlers: agents/direct_access_views.py
• Utilities: agents/utils.py

Then add URL routes in agents/urls.py and update marketplace template if needed.

External Services

For Webhook Agents:

• Create N8N workflow at webhook URL
• Configure to accept JSON payload with sessionId, message, etc.

For Direct Access Agents:

• Create external form (JotForm, Google Forms, etc.)
• Ensure form URL is publicly accessible

Railway Deployment

Automatic Process:

1. ✅ Git push triggers Railway deployment
2. ✅ Agent files are processed automatically
3. ✅ New agents appear in production marketplace
4. ✅ No manual database work required

Quick Tips

• Use existing categories - Avoid creating unnecessary new categories
• Keep descriptions clear - Users should understand what the agent does
• Test webhook URLs - Ensure N8N endpoints are accessible
• Free vs Paid - Set price to 0.0 for free agents
• Consistent naming - Use kebab-case for slugs, Title Case for names

---

Last updated: 2025-01-14