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She can now *do* things mid-conversation, not just reply. Adds a tool-calling loop to the chat path and her first two tools; the same mechanism will carry the poker tools (start_session, log_result, get_stats, solver) next. - tools.py: registry of OpenAI-style tool specs + handlers + safe dispatch; journal_write (knowing journaling) and note (tagged notepad, e.g. poker reads) - llm.chat_call(): OpenAI-style call that returns tool_calls (cloud/mi50); local has no tool support and returns plain content - chat.respond(): tool loop — offer tools, run any calls, feed results back, repeat until a text reply (capped at MAX_TOOL_ROUNDS); persists final reply - tests: dispatch + full chat loop (tool call -> result -> reply) Verified live: she invoked `note`, tagged it 'poker', stored a villain read. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Lyra
A persistent, autonomous AI assistant. From-scratch rewrite of an earlier attempt.
The design thinking that survives the rewrite lives in docs/ — start with docs/ARCH_v0-6-1.md. The previous implementation is preserved on the archive branch.
Status
Pre-MVP. Building toward the smallest useful version: chat with persistent memory across sessions.
Setup
uv sync
cp .env.example .env
# fill in ANTHROPIC_API_KEY and point LOCAL_BASE_URL at your Ollama
Architecture
The long-term target is the cognitive split in docs/ARCH_v0-6-1.md — Inner Self as the seat of consciousness, Executive for hard reasoning, Cortex Chat for drafting, Persona for voice. The MVP implements only the chat + memory baseline. Cognitive layers come back one at a time.