- Rename Go module from github.com/cclohmar/ReceiptNext to NextExpense
- Update all import paths across 7 Go source files
- Update templates (titles, headings, branding)
- Update static files (manifest.json, sw.js, CSS)
- Update config (Makefile, install.sh, .env.example)
- Update README with new name and URLs
- Rename service file receiptnext.service -> nextexpense.service
- Update install paths, service names, log paths in install.sh
- glm-ocr is a 1.1B parameter model built specifically for OCR
- No reasoning overhead, no thinking field issues
- Faster inference than qwen3.5 on CPU
- Removed old qwen3.5 models (2B + 0.8B) to free ~4GB disk
- Updated install.sh, ollama.go, .env.example defaults
- .env.example: placeholder values only
- gemini.go: error on missing API key instead of fallback
- main.go: dynamic from address from SMTP_USER
- Security: old credentials removed from active codebase
- New provider architecture with common interface
- Provider selected via AI_PROVIDER env var (gemini/openai/ollama)
- Gemini (default): existing implementation, uses GEMINI_API_KEY
- OpenAI-compatible: uses OPENAI_API_KEY + AI_MODEL + AI_BASE_URL
- Works with OpenAI, Perplexity, Together AI, Groq, etc.
- Ollama: local LLM, uses AI_BASE_URL + AI_MODEL
- Supports llava, bakllava, and other vision models
- deepseek.go renamed to llm.go (cleanup)
- .env.example updated with all AI provider options
- Passwordless email OTP authentication
- Event-based expense tracking with HTMX UI
- AI receipt extraction via DeepSeek Vision API
- CSV/PDF report generation with email filing
- PWA with service worker and manifest
- Mobile-first responsive design
- SQLite database with auto-migration
