mirror of
https://github.com/thecyberlearn/quantum-ai-v3.git
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ab2360a91d
🏗️ **Database Extensions:** - Add agent_type field to Agent model (form/chat distinction) - Create ChatSession model for conversation management - Create ChatMessage model for message storage with metadata - Add database indexes for performance optimization 🎨 **Frontend Implementation:** - Create agent_chat.html template with modern chat interface - Implement real-time messaging UI with message bubbles - Add typing indicators and loading states - Responsive design for mobile and desktop - Empty states and error handling 🔧 **Backend Logic:** - Extend agent_detail_view to route chat vs form agents - Implement chat_agent_view for chat interface rendering - Add start_chat_session API endpoint with session management - Add send_chat_message API endpoint with webhook integration - Add get_chat_history and end_chat_session endpoints - Session-based fee charging system 🤖 **5 Whys Agent:** - Create "Analysis & Problem Solving" category - Implement 5 Whys Analysis chat-based agent (15 AED) - Interactive problem-solving methodology guidance - N8N webhook integration for AI responses ⚡ **Interactive Features:** - JavaScript ChatInterface class for real-time communication - Auto-session creation and management - Message validation and error handling - Automatic scrolling and UI state management - CSRF protection and security measures 🔗 **API Integration:** - Chat-specific API endpoints with RESTful design - Webhook payload formatting for N8N integration - Session ID tracking and conversation continuity - Metadata storage for webhook responses 🛡️ **Security & UX:** - Login required for chat agents - Wallet balance validation before session creation - Session isolation per user and agent - Comprehensive error handling and user feedback **New URLs:** - /agents/api/chat/start/ - Start new chat session - /agents/api/chat/send/ - Send chat message - /agents/api/chat/history/<session_id>/ - Get chat history - /agents/api/chat/end/ - End chat session - /agents/five-whys-analysis/ - 5 Whys chat interface **Backward Compatibility:** - Existing form-based agents (Social Ads, Job Posting, PDF) unchanged - Admin interface updated to show agent types - Marketplace displays both agent types seamlessly 🚀 Ready for interactive 5 Whys problem-solving conversations\! 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
76 lines
3.4 KiB
Python
76 lines
3.4 KiB
Python
from django.core.management.base import BaseCommand
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from agents.models import AgentCategory, Agent
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class Command(BaseCommand):
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help = 'Create the 5 Whys chat-based analysis agent'
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def handle(self, *args, **options):
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# Create or get the Analysis category
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category, created = AgentCategory.objects.get_or_create(
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slug='analysis',
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defaults={
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'name': 'Analysis & Problem Solving',
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'description': 'Advanced analytical tools for problem-solving and decision making',
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'icon': '🧠',
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'is_active': True
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}
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)
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if created:
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self.stdout.write(f'✅ Created category: {category.name}')
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else:
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self.stdout.write(f'📂 Using existing category: {category.name}')
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# Create the 5 Whys agent
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agent, created = Agent.objects.get_or_create(
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slug='five-whys-analysis',
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defaults={
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'name': '5 Whys Analysis',
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'short_description': 'Interactive problem-solving using the proven 5 Whys methodology',
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'description': '''Discover the root cause of any problem through guided conversation using the 5 Whys technique.
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This interactive agent helps you systematically drill down to the core issue by asking "why" five times. Perfect for:
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• Troubleshooting operational problems
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• Understanding process failures
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• Identifying systemic issues
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• Improving quality and efficiency
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The conversation-based approach ensures you think deeply about each layer of the problem, leading to more effective solutions.''',
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'category': category,
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'price': 15.00,
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'agent_type': 'chat', # This is a chat-based agent
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'form_schema': None, # Chat agents don't use form schemas
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'webhook_url': 'http://localhost:5678/webhook/5-whys-web', # N8N webhook URL
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'is_active': True
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}
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)
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if created:
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self.stdout.write(
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self.style.SUCCESS(f'🎉 Successfully created 5 Whys Analysis agent!')
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)
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self.stdout.write(f' 💬 Agent Type: {agent.agent_type}')
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self.stdout.write(f' 💰 Price: {agent.price} AED')
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self.stdout.write(f' 🔗 Webhook: {agent.webhook_url}')
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self.stdout.write(f' 📂 Category: {agent.category.name}')
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else:
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self.stdout.write(
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self.style.WARNING(f'⚠️ 5 Whys Analysis agent already exists')
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)
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# Update existing agent to ensure it's chat-based
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if agent.agent_type != 'chat':
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agent.agent_type = 'chat'
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agent.form_schema = None
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agent.save()
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self.stdout.write(
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self.style.SUCCESS(f'✅ Updated existing agent to chat-based')
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)
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self.stdout.write('')
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self.stdout.write('🚀 Next steps:')
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self.stdout.write(' 1. Ensure N8N webhook is running on localhost:5678')
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self.stdout.write(' 2. Visit /agents/five-whys-analysis/ to test the chat interface')
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self.stdout.write(' 3. Start a conversation to test the 5 Whys methodology')
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self.stdout.write('')
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self.stdout.write('💡 The agent is now ready for interactive problem-solving!') |