- Add multi-provider LLM architecture supporting OpenRouter, OpenAI, Gemini, and custom providers
- Implement global LLM on/off switch with default DISABLED state for cost protection
- Add per-character LLM configuration with provider-specific models and settings
- Create performance-optimized caching system for LLM enabled status checks
- Add API key validation before enabling LLM providers to prevent broken configurations
- Implement audit logging for all LLM enable/disable actions for cost accountability
- Create comprehensive admin UI with prominent cost warnings and confirmation dialogs
- Add visual indicators in character list for custom AI model configurations
- Build character-specific LLM client system with global fallback mechanism
- Add database schema support for per-character LLM settings
- Implement graceful fallback responses when LLM is globally disabled
- Create provider testing and validation system for reliable connections
- Fix reflection memory spam despite zero active characters in scheduler.py
- Add character enable/disable functionality to admin interface
- Fix Docker configuration with proper network setup and service dependencies
- Resolve admin interface JavaScript errors and login issues
- Fix MCP import paths for updated package structure
- Add comprehensive character management with audit logging
- Implement proper character state management and persistence
- Fix database connectivity and initialization issues
- Add missing audit service for admin operations
- Complete Docker stack integration with all required services
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix remaining datetime timezone errors across all database operations
- Implement dynamic vector database backend (Qdrant/ChromaDB) based on install.py configuration
- Add LLM timeout handling with immediate fallback responses for slow self-hosted models
- Use proper install.py configuration (2000 max tokens, 5min timeout, correct LLM endpoint)
- Fix PostgreSQL schema to use timezone-aware columns throughout
- Implement async LLM request handling with background processing
- Add configurable prompt limits and conversation history controls
- Start missing database services (PostgreSQL, Redis) automatically
- Fix environment variable mapping between install.py and application code
- Resolve all timezone-naive vs timezone-aware datetime conflicts
System now properly uses Qdrant vector database as specified in install.py instead of hardcoded ChromaDB.
Characters respond immediately with fallback messages during long LLM processing times.
All database timezone errors resolved with proper timestamptz columns.
- Update docker-start.sh to force correct profiles (qdrant, admin)
- Fix PostgreSQL port mapping from 5432 to 15432 across all configs
- Resolve MCP import conflicts by renaming src/mcp to src/mcp_servers
- Fix admin interface StaticFiles mount syntax error
- Update LLM client to support both Ollama and OpenAI-compatible APIs
- Configure host networking for Discord bot container access
- Correct database connection handling for async context managers
- Update environment variables and Docker compose configurations
- Add missing production dependencies and Dockerfile improvements
Creates a production-ready admin interface with FastAPI backend and React frontend:
Backend Features:
- FastAPI server with JWT authentication and WebSocket support
- Comprehensive API endpoints for dashboard, characters, conversations, analytics
- Real-time metrics and activity monitoring with WebSocket broadcasting
- System control endpoints for pause/resume and configuration management
- Advanced analytics including topic trends, relationship networks, community health
- Export capabilities for conversations and character data
Frontend Features:
- Modern React/TypeScript SPA with Tailwind CSS styling
- Real-time dashboard with live activity feeds and system metrics
- Character management interface with profiles and relationship visualization
- Conversation browser with search, filtering, and export capabilities
- Analytics dashboard with charts and community insights
- System status monitoring and control interface
- Responsive design with mobile support
Key Components:
- Authentication system with session management
- WebSocket integration for real-time updates
- Chart visualizations using Recharts
- Component library with consistent design system
- API client with automatic token management
- Toast notifications for user feedback
Admin Interface Access:
- Backend: http://localhost:8000 (FastAPI with auto-docs)
- Frontend: http://localhost:3000/admin (React SPA)
- Default credentials: admin/admin123
- Startup script: python scripts/start_admin.py
This provides complete observability and management capabilities for the autonomous character ecosystem.
