mirror of
https://github.com/thecyberlearn/quantum-ai-v3.git
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33dcdc23ba
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> |
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| .github | ||
| agents | ||
| authentication | ||
| core | ||
| docs | ||
| netcop_hub | ||
| scripts | ||
| static | ||
| templates | ||
| tests | ||
| wallet | ||
| .env.example | ||
| .env.production.template | ||
| .gitignore | ||
| .railway.env.example | ||
| CLAUDE.md | ||
| manage.py | ||
| railway.json | ||
| railway.staging.json | ||
| requirements-dev.txt | ||
| requirements.txt | ||
| run_dev.sh | ||