- Dockerfile: Update to tqftw-fastapi-service-base package
- pyproject.toml: Bump dependencies and fix package names
- Update all imports from tqftw_ml_service_base → tqftw_fastapi_service_base
- Update env example and docs with correct package name
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Document new ML endpoints:
- Flirty style learning and application
- Sales intent classification
- Bad actor detection
- Price agreement detection
- Follow-up recommendations
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Document suggested replies, conversation memory, style learning,
and message triage APIs in both API.md and ML service README.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add comprehensive deployment documentation (DEPLOYMENT.md, DEPLOY_CHECKLIST.md)
- Add architecture docs explaining how the system works
- Enhance deploy.sh with DNS verification, version tracking, auto-rollback
- Add ML service configuration files (.env.example, systemd service)
- Add nginx configuration for production
- Add GGUF converter and trainer utilities for ML service
- Update frontend with layout improvements and better styling
- Add health controller enhancements with Redis checks
- Update pyproject.toml with new ML dependencies
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add docs/API.md with complete endpoint documentation
- Add docs/DEVELOPMENT.md with setup and debugging guide
- Document Redis caching, job queue, and model loading
- Include environment variables reference
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
