9491951da010c8318c43780c3f334ab52c4ef139
Brian's idea: vomit rough shorthand, Lyra rebuilds it into a structured,
replayable hand history.
- poker.parse_hand(): focused LLM pass turning shorthand into a canonical hand
JSON (positions, stacks, hero cards, chronological actions w/ board reveals,
result); store_hand_history() persists JSON + extracted flat fields;
record_hand() = parse+store; standalone hands attach to a 'Hand Reviews' session
- poker_hands gains a `structured` JSON column (ALTER-migrated for existing DBs)
- record_hand tool wired into chat: "log this hand: ..." -> reconstructed + a
/hand/{id} link
- web: GET /hand/{id} viewer + /hand/{id}/data — a felt table with seats placed
around the oval (hero at bottom), hole cards, progressive board reveal, and
prev/next/end step-through of the action with running pot
- tests: store/get roundtrip, record_hand tool (stubbed parse)
Verified live: parsed a real AKs hand (BTN, 14 actions, full board) end to end.
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.
Description
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