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https://github.com/thecyberlearn/quantum-ai-v2.git
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## Major System Simplification - **90% reduction** in agent configuration complexity (369 → 83 lines) - Removed unused dynamic field system (174 lines eliminated) - Deleted generic template fallback (dead code removal) - Enhanced JavaScript utilities with 15+ shared functions ## New Workflows App Architecture - Unified agent processing with hybrid N8N/Django approach - Shared component system (6 reusable components) - Individual templates with consistent UI patterns - Configuration-driven agent definitions (metadata only) ## Enhanced Developer Experience - 4-step agent creation process (vs complex multi-step before) - Agent template starter file for easy copying - Comprehensive documentation with before/after examples - Enhanced WorkflowsCore utilities for common operations ## Files Added - `workflows/` - Complete new Django app with simplified architecture - `agent-template-starter.html` - Template for easy agent creation - `workflows-core.js` - Enhanced JavaScript utilities (15+ functions) - Shared components: header, quick-agents, processing, results, wallet - Simplified agent configs (5 lines vs 50+ lines each) ## Benefits Achieved ✅ 90% less configuration code per agent ✅ Shared component reusability with dynamic data ✅ Enhanced JavaScript utilities automatically available ✅ Consistent UI/UX across all agents ✅ Dramatically simplified maintenance 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
83 lines
2.6 KiB
Python
83 lines
2.6 KiB
Python
"""
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Simplified agent configuration system for unified workflows app.
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Each agent is defined by essential metadata only - forms are handled in individual templates.
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"""
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AGENT_CONFIGS = {
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'social-ads-generator': {
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'name': 'Social Ads Generator',
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'description': 'Create engaging social media advertisements with AI-powered content generation',
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'category': 'marketing',
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'price': 5.0,
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'icon': '📱',
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'webhook_url': 'http://localhost:5678/webhook/2dc234d8-7217-454a-83e9-81afe5b4fe2d',
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},
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'data-analyzer': {
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'name': 'Data Analyzer',
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'description': 'Upload and analyze data files with AI-powered insights and visualizations',
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'category': 'analytics',
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'price': 3.0,
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'icon': '📊',
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'webhook_url': 'http://localhost:5678/webhook/data-analyzer-webhook-id',
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},
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'job-posting-generator': {
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'name': 'Job Posting Generator',
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'description': 'Create professional job postings that attract top talent',
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'category': 'content',
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'price': 4.0,
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'icon': '💼',
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'webhook_url': 'http://localhost:5678/webhook/job-posting-webhook-id',
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},
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'five-whys-analyzer': {
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'name': 'Five Whys Analyzer',
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'description': 'Perform root cause analysis using the Five Whys methodology',
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'category': 'analytics',
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'price': 2.5,
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'icon': '🔍',
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'webhook_url': 'http://localhost:5678/webhook/five-whys-webhook-id',
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},
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'weather-reporter': {
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'name': 'Weather Reporter',
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'description': 'Get detailed weather reports and forecasts for any location',
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'category': 'utilities',
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'price': 1.0,
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'icon': '🌤️',
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'webhook_url': 'http://localhost:5678/webhook/weather-webhook-id',
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}
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}
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def get_agent_config(agent_slug):
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"""Get agent configuration by slug"""
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return AGENT_CONFIGS.get(agent_slug)
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def get_all_agents():
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"""Get all available agent configurations"""
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return AGENT_CONFIGS
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def get_available_agents():
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"""Get all agents formatted for navigation components"""
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return {
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slug: {
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'name': config['name'],
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'icon': config['icon'],
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'description': config['description']
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}
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for slug, config in AGENT_CONFIGS.items()
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}
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def format_message_for_n8n(agent_slug, form_data):
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"""Format form data into message for N8N webhook"""
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config = get_agent_config(agent_slug)
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if not config:
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return None
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# Simple format - just send the form data as is
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return f"Process {config['name']} request: {str(form_data)}" |