Feedback: the push broadcast her raw internal thought ("Eelis Parssinen's
victory is a reminder...") — read like a journal entry, not her texting him.
Now the flow matches the intent: she thinks/journals, then *decides* "I should
tell Brian about this." think() asks for an optional `reach_out` — a real text
message addressed TO him in her own voice, written only when she chooses to. The
ping sends that message (title "Lyra", like a text from her), never the internal
thought. No reach_out = nothing sent (most thoughts stay hers).
- Pinging decoupled from the salience score: her decision (a reach_out) drives it,
not a threshold. PING_SALIENCE is now an optional floor (default 0.0).
- Defensive: reject the placeholder echo ("reach_out"), too-short junk, or the
thought pasted back as the message.
- notify.push: title now optional (omitted -> cleaner text-style notification).
Verified live: 3 passes kept private; a decided reach-out lands as a personal
text. Suite 67 green, ruff clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Her remaining two wishes from the 6-19 sketch:
Proactive reach-out (#6, literal): lyra/notify.py pushes to ntfy so she can reach
Brian when he's not in the app. thoughts.maybe_ping gates on salience, a cooldown,
and local quiet hours (all config-tunable; eager defaults), uses ntfy JSON publish
(UTF-8 titles/messages), links to /thoughts, and marks the thread surfaced so chat
won't also re-raise it. Disabled unless NTFY_URL is set.
External input feed (#1): lyra/feeds.py pulls configurable RSS/Atom feeds (stdlib
ElementTree, no new dep; tolerant of RSS 2.0 + Atom), dedupes seen items in a
feed_items table, and hands think() one fresh item at a time. New 'react' mode:
a would-be new thread instead reacts to a world item (FEED_REACT_PROB). Dream
cycle refreshes feeds on its cadence; failures degrade to no item.
Config: NTFY_URL/NTFY_TOPIC/LYRA_WEB_URL, PING_SALIENCE/COOLDOWN/QUIET_HOURS,
LYRA_TIMEZONE, LYRA_FEEDS, FEED_REACT_PROB (+ .env.example). thought_meta table
for ping cooldown. 10 new tests (feeds parse, react mode, ping gating); suite 65.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Four additions so the loop is "more what she wanted" (think to herself, unprompted):
- Wander grist (#1): think() new-thread mode now draws the same varied seeds
reflect() uses (self_state.wander_seed: own curiosity/existence/disagreement or
a resurfaced memory) + an anti-restate block of her recent thoughts + a list of
existing open-thread titles to avoid. Directly counters the RLHF "supportive
presence serving Brian" drift visible in her first thoughts.
- Continuity: thoughts.context_note() injects her active threads into every chat
turn, so she's aware of her own ongoing mind and can reference it anytime — not
only when a thought crosses the surface bar.
- Bidirectional: new think_about tool (in _BASE, all modes) lets her spawn a
thread from conversation to develop on her own later. Conversations seed her
solo thinking.
- Lifecycle: thoughts.decay() rests stale active threads (>48h) and decays their
salience, sparing pending-response ones; runs each dream cycle (no LLM). Frees
the open-thread cap and keeps the feed current.
Also: thoughts feed no longer wipes a reply you're mid-composing (skip poll
re-render while a textarea is focused/non-empty; force-refresh after send).
61 tests passing, ruff clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Built from her own 6-19 idea: a continuing train of thought she keeps across
days, organized into threads she returns to, that she can bring TO Brian and
that his feedback advances or closes. Where the dream cycle's reflect() gives
isolated, overwriting reflections, the thought loop adds continuity (threads),
surfacing (#6 — she leads with a thought when Brian returns after a gap), and a
feedback loop (his reply folds in next pass).
- lyra/thoughts.py: thought_threads + thoughts tables; think() with
new/continue/respond modes; salience-gated maybe_surface(); record_response()
feedback; lazy-schema _c() mirroring poker.
- dream.py: curiosity stage advances the loop after reflecting (error-isolated).
- chat.py: build_messages surfaces the top thread after a >=90min gap, once.
- web: /thoughts feed (page + data + respond + status routes), thoughts.html,
nav 💭 entry. lyra-think entry point. Every thought also lands in her journal.
- clock.gap_seconds(); tests/test_thoughts.py (8 tests). Full suite 58 passing.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Quick-logged hands (log_hand) store flat fields with no structured JSON, so the
hand viewer dead-ended with "no structured data to replay" — even when the full
street-by-street action was captured (e.g. the KhQh-vs-Louis hand). Now:
- hand.html renders a readable STATIC view of any flat hand (hero cards, board,
street narratives, result, lesson) instead of erroring; also handles empty/garbage
structured rows by falling back to the flat view.
- "▶ Build replay" button + poker.reconstruct_hand + POST /hand/{id}/reconstruct:
parse a flat hand's narrative into structured form on demand, making any
quick-logged hand replayable without an LLM call per log during live play.
- test_modes.py +1 (reconstruct wiring).
(Also reconstructed the two live Meadows hands and removed one empty hand in the DB.)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- View any past session as a read-only HUD: /session?id=N (hud(session_id) +
/session/data?id=); /history rows now link there. Closed sessions show played
duration + final net; recap link when one exists.
- Edit session details during or after play: poker.update_session (recomputes net
when buy-in/cash-out change), PATCH /session/{id}, an update_session tool ("venue
was actually Bellagio", "I bought in for 600"), and an inline ✎ Edit form on the HUD.
- Rituals attach to the most-recent session post-close (poker.review_session_id),
so scar/confidence/reset work while reviewing after you rack up.
- Edit form is poll-safe (won't clobber mid-edit); past-session view doesn't poll.
- test_modes.py +3 (edit, review rituals, past-session HUD); 49 green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Previously the only delete was whole-session, so a mis-logged stack or a
mis-parsed hand was stuck on the HUD. Now:
- undo_last tool ("scratch that") — deletes the most recent hand/stack/read/
scar/confidence/reset in the live session; added to the Cash toolset.
- poker.delete_hand/stack/read/ritual + delete_entry dispatch + undo_last.
- DELETE /session/entry/{kind}/{id} endpoint.
- HUD: per-row × delete buttons on hands, confidence-bank, and scar-note rows
(stack/read deletes via the tool). Row ids now surfaced in the hud() bundle.
- test_modes.py +2 (undo_last across kinds, tool handler); 46 green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Answers three gaps: no way to delete a single poker session (only clear_all),
no way to browse past sessions, and Lyra could only see aggregate stats.
- poker.list_sessions() (per-session summary + hand count + recap flag) and
poker.delete_session() (removes a session + its hands/reads/observations/
stacks/rituals; keeps the persistent villain file).
- /history page (date, stakes, venue, net, hours, recap link, per-row delete with
confirm) + /history/data + DELETE /history/{id}. Nav links from chat + HUD.
- recent_sessions read tool, added to the shared lookups so Lyra can answer
"how'd my last few sessions go?" in either mode.
- Delete is UI/CLI only — deliberately not a Lyra tool.
- test_modes.py +2 (list/delete, recent_sessions); 44 green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
She could write everything the HUD shows but not read most of it back (stack,
live net, alligator state, scar/confidence entries) — so "what's my live net?"
or "what's in my confidence bank?" was a memory guess.
- session_state tool returns the same bundle the HUD renders, as a readable
summary; added to the Cash toolset.
- Cash card tells her the HUD exists, that she and it share the same data, and to
answer where-am-I questions from session_state, never memory.
- test_modes.py +1; 42 green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Brian's own rituals (mined from his logs) become first-class, live tools instead
of post-hoc recap sections:
- Scar Note — instructive mistakes with the punt/cooler/standard distinction.
- Confidence Bank — good process, banked regardless of result.
- Alligator Blood — invokable adversity state; she suggests it when he's
card-dead/short/stuck, and her coaching register shifts while it's on (live
state injected into context per-turn via chat._mode_state_note).
- Reset — tilt circuit-breaker; mental marker only, stats stay continuous.
poker_rituals table + log_ritual/list_rituals/set_alligator/alligator_active;
4 tools added to the Cash toolset and taught in the mode card; HUD gains a 🐊
banner + Confidence Bank + Scar Notes panels; recap grounded via _rituals_block.
tests/test_modes.py +5 ritual tests; 41 green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Brian can rate Lyra's outputs as he uses her; each rating is stored as a
(context, content, rating) triple — the shape a future fine-tune / preference
dataset wants, collected passively during real use.
- memory: ratings table + add_rating (upsert: one row per item, re-rating
replaces), list_ratings, rating_counts
- server: POST /rate, GET /ratings/counts, GET /ratings/export (JSONL download)
- chat UI: subtle 👍/👎 on each assistant reply, captures the prompting message
as context
- journal/reflection UI: 👍/👎 on each thought
- tests: counts + upsert-replace behavior
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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>
Named players in recorded hands now auto-enrich a persistent dossier, and stats
emerge once the sample is big enough — laying groundwork for A.
- poker: player_observations table (per named player per hand: vpip/pfr/saw_flop/
showed/cards/summary); record_hand auto-links named players via link_hand_players;
player_profile(name) returns dossier + reads + shown hands, with inferred
VPIP/PFR/WTSD gated behind MIN_STATS_SAMPLE (12) so thin samples don't lie;
list_players()
- player_profile tool ("what do I know about X"); thin files return a blunt
"don't generalize" directive
- persona: she MUST call player_profile before discussing an opponent and answer
only from it — fixes observed confabulation (she invented a whole read from one
hand / from memory). Verified: now reports only the real logged hand.
- tests: observation linking, profile, stat-emergence at sample threshold
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Completes the poker copilot loop: talk through a session -> structured capture
-> generated writeup in Brian's format, remembered + exportable.
- poker.generate_recap(): LLM produces Brian's .md log (Session Header, Money
Flow, Overview, Timeline, Key Hands w/ assessments, Villain Notes, Confidence
Bank, Scar Notes, Mental Game, Final Assessment) from the session's structured
data + the linked chat conversation; stored on poker_sessions.recap_md
- sessions now capture chat_session_id (via tool ctx) to pull the right convo;
list_recent_hands() for browsing
- generate_recap tool ("write up the recap")
- web: /recap/{id} (renders the md) + /recap/{id}/download (.md attachment) +
/hands browser (recent hands -> /hand/{id}); nav links added (desktop + mobile)
- tests: recap generation (stubbed), recent-hands listing
Verified live: recap for the Meadows session rendered + downloaded; all pages 200.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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>
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>
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>
Her reflections/metacognition were capped rolling windows (6/5), so older
thoughts were lost for good. Now everything she produces is also appended to a
permanent, append-only journal; the capped lists stay as her working-memory
window for context.
- memory: journal table + add_journal_entry/list_journal
- reflect(): persists every committed reflection + critique to the journal, and
the examine step gains a "journal" field — a deliberate, first-person note she
writes for herself (her knowing journaling), tagged by source (dream/manual)
- web: /journal diary view (kind filters, grouped by day) + /journal/data;
linked from /self
- tests assert reflections + metacognition land in the journal
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
reflect() is now two steps: draft a reflection, then read her own draft back
critically and revise it — catching flattery, sycophantic drift toward "warm
supportive presence," or just-restating-herself — and commit the honest version.
What she catches is stored as a new `metacognition` layer, rendered into her
chat context and shown on /self. This is her thinking about how she thinks, and
a direct counter to the drift we observed.
- self_state: _EXAMINE_PROMPT + two-step reflect (draft -> examine -> revise),
falls back to the draft if the examine step won't parse; metacognition capped
at 5 and surfaced in render_for_context
- fix: load() deep-copies DEFAULT_STATE — the shallow copy let a fresh Lyra's
first reflect mutate the module-level default's nested lists
- self.html: "How she's caught herself thinking" card
- tests: two-step revise + critique recording, and draft-fallback on bad parse
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
She had no clock: current date/time and the gap since Brian last spoke were
invisible between turns, and reflection was timeless. Now:
- lyra/clock.py: wall-clock stamp + coarse human gaps ("3 days")
- chat: inject a 'now' note (date/time + gap since last turn) after her
self-state — when she is, before the world
- reflect(): feed current time + silence gap into reflection, neutrally —
prompt invites her to weigh elapsed time "to whatever degree it genuinely
affects you" (no prescribed feeling; whether silence means anything is left
to emerge)
- memory.last_exchange_at(): timestamp of the most recent exchange
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Lyra's inner loop for when no one's talking to her. Each pass senses her own
backlog/novelty, lets four drives build from real signals, and acts on those
past threshold:
- continuity -> summarize sessions with new turns
- coherence -> rebuild profile/eras/narrative (stale once new gists land)
- curiosity -> reflect() and evolve the self-state
- stability -> readout of how caught-up she ended up
Drives are rendered into chat context so she can feel them. Causal chain:
consolidation creates gists -> coherence rises -> integration fires next.
- lyra/dream.py: dream_cycle() + lyra-dream CLI (--force, --loop SECONDS)
- memory: backlog_stats(), profile_sessions_covered(), WAL + busy_timeout
so a separate dream process coexists with the web server
- self_state: DEFAULT_DRIVES baseline + drives in render_for_context
- tests/test_dream.py: backlog sensing + a full forced pass (LLM stubbed)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
serversdown