RollingSummaryMemory now accepts a generic async summarize callable
instead of hardcoding AsyncOpenAI. Each backend provides its own
_summarize_messages() method that uses the appropriate API client.
- Removed AnthropicMemory class from anthropic_backend.py
- Removed GoogleMemory class from google_backend.py
- Changed RollingSummaryMemory.__init__ signature to accept
summarize_fn: Callable[[list[dict]], Awaitable[str]]
- All three backends (OpenAI, Anthropic, Google) now instantiate
the same RollingSummaryMemory class with backend-specific callables
- Extracted shared summarize prompt to module-level _SUMMARIZE_PROMPT
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Features:
- Multi-backend LLM support (OpenAI, Anthropic, Google)
- Rolling summary memory for token optimization (~70-80% reduction)
- Per-user conversation history with SQLite persistence
- Bang commands (!help, !ping, !reset, !status, !weather)
- Meshtastic integration via serial or TCP
- Message chunking for mesh network constraints (150 char limit)
- Rate limiting to prevent network congestion
- Rich TUI configurator
- Docker support
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
