Commit Graph

5 Commits

Author SHA1 Message Date
Claude
33dcdc23ba 🏗️ Phase 1: Complete architecture simplification - pure file-based agent system
MAJOR ARCHITECTURAL CHANGES:
- Remove Agent/AgentCategory database models entirely
- Update AgentExecution/ChatSession to use agent_slug instead of foreign keys
- Eliminate hybrid complexity and AgentCompat workaround classes
- Enhanced AgentFileService with production-ready caching

CORE IMPROVEMENTS:
- Pure file-based architecture eliminates database sync complexity
- Enhanced caching: 5min in dev, 1hr in production, graceful fallback
- Fixed validation logic for 0.0 price fields
- Added database indexes for optimal query performance
- Updated admin interface to work with new slug-based fields

TECHNICAL BENEFITS:
- Simplified agent execution without database record creation
- Eliminated get_or_create_agent_db_record() complexity
- Streamlined imports across core and agents apps
- Better error handling and cache availability detection

FILE CHANGES:
- agents/models.py: Removed Agent/AgentCategory models, updated execution models
- agents/services.py: Enhanced caching, improved validation, removed DB sync
- agents/views.py: Updated execute_agent to use direct agent_data
- agents/admin.py: Updated for slug-based fields
- core/views.py: Updated to use AgentFileService instead of Agent model

All 8 agents remain fully operational with significantly reduced codebase complexity.
Migration applied successfully with proper defaults for existing data.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-14 09:55:45 +05:30
Claude
ab2360a91d 💬 Implement complete chat-based agent system with 5 Whys Analysis
🏗️ **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>
2025-08-01 09:39:43 +05:30
Claude
5eba8fee84 🚀 Complete agents app implementation with social ads frontend
- Create complete REST API-based agents system for scalability
- Implement Social Ads Generator with dynamic form rendering
- Add agents marketplace with search and category filtering
- Build real-time wallet balance updates after execution
- Fix URL routing conflicts and API endpoint issues
- Add comprehensive N8N webhook integration with proper payload format
- Create dynamic template system for 100+ agent scalability

Features:
- Database-driven agent management via Django admin
- JSON schema-based dynamic form generation
- Real-time wallet balance deduction and display updates
- Comprehensive error handling and validation
- Mobile-responsive marketplace UI
- Complete API endpoints for frontend integration

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-31 19:05:09 +05:30
Claude
1aac14f44b Implement individual agent architecture with simplified template structure
- Replace legacy agents system with modular individual agent apps
- Add agent_base framework for BaseAgent, processors, and management commands
- Create weather_reporter as example individual agent with API integration
- Implement simplified template structure: agent_name/templates/detail.html
- Fix marketplace to display actual agents instead of placeholder
- Add proper authentication flow with login redirect for agent access
- Organize project structure: move tests to tests/, docs to docs/
- Update all documentation to reflect new simplified architecture
- Fix URL namespace issues throughout templates and views

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-07-10 09:01:11 +05:30
Claude
67ba2de335 first working 2025-07-09 02:15:35 +05:30