The real upgrade over the ChatGPT prose-recap workflow: structured data capture
via tools Lyra drives during a live session, with stats computed from real data.
- lyra/poker.py: domain pack (separate from core memory) — poker_sessions,
poker_hands, persistent poker_players (villain file) + player_reads; functions
for session lifecycle (start/buyin/end with net+hours), tolerant hand logging,
villain upsert/reads, and session/running stats ($/hr, by stake/venue/game)
- tools.py: 8 poker tools wired into the chat tool loop (start_session,
add_buyin, log_hand, add_read, end_session, session_stats, running_stats,
get_villain_file) — partial/terse input tolerated
- import/: Brian's real .md session-log format (reference for the phase-2 recap)
- tests: lifecycle/net math, partial hand logging, villain upsert, running
stats, tool dispatch
Verified live: a full talk-through session persisted as structured rows
(session +240, AKs hand, seat-5 read) — she drove the tools from natural chat.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
