Lyra was hallucinating poker facts — phantom flushes, missed straights, wrong
equity, only correcting when spoon-fed. Board reading + equity are combinatorial
facts an LLM can't do reliably; this is exactly the "math via deterministic
tools, never the LLM" principle.
- lyra/equity.py: treys-backed analyze(hero, villain, board) -> made hands,
who's ahead, EXACT equity (enumerated), and outs (one to come). Handles 'Jx'
unknown suits (assigned rainbow to avoid phantom flushes); rejects 'x'/dupes.
- analyze_spot tool wired into chat; persona MANDATES it for any equity/board/
who's-ahead/outs question — never eyeballed.
- tests on the real JJ-vs-65 hand: flop 78.7%, turn villain straight + hero 6.8%
with outs "9s 9h 9c" (correctly excludes 9d, which makes villain a flush).
Verified live: she now calls the tool and reports exact numbers, no hallucinated
flush.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Phase 1 — persona + persistent memory chat loop:
- lyra/persona.py + personas/lyra.md: editable identity/voice (friend-first,
honest, never invents poker math)
- lyra/chat.py: turn loop assembling persona + cross-session recall + recent
context, persisting both sides to SQLite
- lyra/session.py, lyra/__main__.py: session lifecycle + `lyra` REPL
Phase 1.25 — reuse the old web UI:
- vendored the prior single-page UI into lyra/web/static, repointed to
same-origin
- lyra/web/server.py (FastAPI): serves the UI and backs its endpoint contract
(/v1/chat/completions, session CRUD, health, inert thinking-stream) with the
new chat loop + memory; SQLite stays the single source of truth
- `lyra-web` console script
Local backends — test for free, no OpenAI key:
- llm.embed routes via EMBED_BACKEND (cloud=OpenAI, local=Ollama /api/embed)
- simplified UI backend selector to Local (Ollama) / Cloud (OpenAI), default local
- memory connection opened check_same_thread=False for the threaded server
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- lyra.memory.remember(session_id, role, content) embeds and stores
- lyra.memory.recent(session_id, n) returns the last N from a session
- lyra.memory.recall(query, k, session_id=None) returns top-k by cosine
similarity across the chosen scope (all sessions by default)
- Embeddings live in the exchanges.embedding BLOB column as float32 bytes
- Connection reopens automatically if LYRA_DB_PATH changes (test-friendly)
- lyra.config.load() reads env into a frozen Config dataclass
- lyra.llm.complete(messages, backend) routes to Ollama /api/chat or
OpenAI chat completions
- lyra.llm.embed(texts) calls OpenAI embeddings
- .env.example switched from Anthropic to OpenAI to match available key
serversdown
Claude