76 Commits

Author SHA1 Message Date
serversdown 7910d266db feat(chat): client turn-id makes fire-and-forget bulletproof
Brian fires a quick message then locks his phone to go play the hand — which drops
the SSE stream, and on wake the UI re-fires via the blocking fallback. The prior
(session, message) + 20s window caught the near-simultaneous case but not a re-fire
minutes later.

Now the UI stamps each send with a unique turnId (crypto.randomUUID) and carries the
SAME id on both the stream and the fallback; the server dedupes on it. Bulletproof
regardless of how long he's away — lock for an hour, come back, still exactly one
execution and one log — and a genuinely new send gets a fresh id so nothing legit is
swallowed. Id-keyed turns keep a long (1h) window; requests without an id keep the
short (session, msg) window for near-simultaneous dupes.

Verified end-to-end: two POSTs with the same turnId → one reply, one persisted
exchange pair (the duplicate reused the owner's result). 9 dedup tests; suite 235.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-12 01:28:10 +00:00
serversdown 80519d20b1 docs: roadmap — scope roster→hand resolution + log today's ledger fixes
Adds the roster→hand seat/name resolution feature (needs seat+button tracking, so
it's a real feature not a fill) and records the 2026-07-11 shipped fixes.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-11 00:18:44 +00:00
serversdown f3ecf8ffe4 fix(chat): de-duplicate the double turn execution at its source
The UI POSTs the SSE stream and, when nothing streams to the browser (iOS can't
read a fetch-stream body → the fetch throws in ~1s), falls back to the blocking
endpoint. But the server-side stream runs to completion regardless, so BOTH turns
executed — double-persisting the message and (once logging became guaranteed)
double-logging the hand.

Make a turn idempotent instead of chasing why the client bails: the first request
for a (session, message) owns it; a concurrent duplicate waits on the owner's
Event and reuses its reply rather than running a second full turn. respond and
respond_stream both claim/await; a finally always releases waiters. Short window
so a genuine later resend still runs fresh. Verified with a threaded race: two
simultaneous calls, body runs once, both get the same reply.

Also fixes the duplicate user-message persistence (the same double-execution) that
was polluting reconstructed history. 6 dedup tests + concurrency check; suite 232.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-11 00:17:48 +00:00
serversdown 978cc0d662 feat(poker): auto-fill hero's stack from the last stack log
When a hand doesn't state hero's stack, default it to current_stack() (his last
logged stack) — the system already knows it from the stack log even when he doesn't
restate it every hand. record_hand._fill_hero_stack sets the hero player's stack and
marks stack_inferred=True (honest about stated vs inferred); a stack given in the
hand text always wins, and observed hands get nothing. 3 tests; suite 226 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-11 00:11:42 +00:00
serversdown f28f0d4956 docs(poker): make the straddle rule explicit for any-seat (Meadows) straddles
Verified the parser captures a straddle from every non-blind seat (UTG..BTN, 7/7),
so no behavior change — but the prompt only named UTG/button examples. Spell out
that a straddle is legal from ANY non-blind seat (Mississippi/any-seat straddle,
common at the Meadows) and state the open-action seat per straddle position, as
insurance against model drift.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 23:57:20 +00:00
serversdown 41c8a4dd1d fix(poker): idempotent hand logging + straddle capture
Two issues from live testing:

- Double-logged hand. The chat turn can execute TWICE — the SSE stream and the
  blocking fallback both run server-side (two 'chat request' lines, 1s apart) — a
  pre-existing double-execution (it also duplicated user messages) that the new
  logging guarantee turned into duplicate HANDS. record_hand is now idempotent:
  _recent_duplicate_hand returns an identical hand (same session, hole cards, board;
  NULL-safe) recorded in the last few minutes, so the second run reuses it instead
  of inserting. A system-of-record records an event once.

- Button straddle dropped. The parse prompt had no straddle logic. Added a STRADDLES
  rule: record any straddle as a preflop `post` by the straddler with its amount and
  respect the action order (button straddle acts last preflop, action opens in the
  SB; UTG straddle opens to its left). Verified: a btn-straddle hand now parses the
  straddle as {pos: BTN, action: post, amount: 6}.

Note: the underlying double turn-execution (stream + fallback) is a separate web-layer
bug worth fixing at the source — it wastes a full LLM turn and still double-persists
chat messages. Filed for a follow-up. 6 tests; suite 223 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 21:19:06 +00:00
serversdown 96a44365d9 fix(poker): guarantee hand logging — history was conditioning it away
Logging a stated hand was unreliable and got worse mid-session: same model, same
hand, clean history logged 4/4 but the real session's history logged 0/4. Root
cause: memory.recent() rebuilt past turns as "hand -> narration" with the tool
calls stripped (they live in tool_events), so the model's own context became
few-shot examples training it, mid-conversation, to STOP calling tools. Even a
maximal "LOG FIRST, no exceptions" prompt scored 0/5 — it's structural, not wording.

Two-part fix (both, per the system-of-record frame):
- A (guarantee): chat._ensure_hand_logged — on a HAND turn that's Brian's OWN hand,
  if the model didn't log it, force record_hand (tool_choice). Guarded to hero hands
  (looks_like_hero_hand) so an observed hand is never force-logged as his. Adds
  tool_choice passthrough to llm.chat_call; surfaces msg_type on TurnContext.
- B (heal forward): mind._history_with_tools makes each assistant turn's tool calls
  visible in reconstructed history ("record_hand -> Hand #62"), so the demonstrated
  pattern stops being "hand -> narrate". Recovers natural logging as logs accumulate.

Verified: force guard returns record_hand on the polluted context; full respond_stream
logs Hand #63 end-to-end on a clean session. 7 guard tests; suite 219 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 20:48:04 +00:00
serversdown 366e71a384 fix(poker): read showdowns off the tool, not by eye — and cut the mush
The HAND fragment let her narrate a finished board from memory: she called
quad kings "kings full" and never noticed Brian FLOPPED quads, then wrapped it
in variance-evens-out / resilience filler. Two fixes to _F_HAND:

- Correctness: at a showdown where both hands are known, call analyze_spot on
  the full board to confirm made hands + winner BEFORE commenting; name his hand
  class by the street it mattered ("flopped quads"). The eval already existed —
  she just never reached for it on a resolved hand. (It also catches impossible
  cards, e.g. a villain card already on the board.)
- Register: ban reflexive praise / variance-evens-out / life-lesson / cross-hand
  pep talk; if there's genuinely no leak, say so instead of inventing a takeaway.
  Surgical here; the full voice pass stays with the persona branch.

Verified live on the exact quad-kings hand (cloud/gpt-4o-mini): she now logs,
calls analyze_spot, reads quads-vs-quads correctly, and calls it a cooler with
no leak. Guard tests added. Full suite 212 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 19:33:01 +00:00
serversdown 6b24bb7cfe docs: roadmap — park hand-recorder + decision-log as dormant feature branches
Both are real, half-built features to revisit later (not cruft): hand-recorder
(tap-to-build V1, superseded-for-now by chat-narration record_hand) and
decision-log (Decide-mode learning layer, never merged). Both pushed to origin
so they survive dormant. Also noted the retired branches: thought-loop (shipped),
feat/prompting + feat/poker-mode-prompts (renamed to feat/poker).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-10 19:27:46 +00:00
serversdown 1dea65794b fix: record_hand recovers when the model uses log_hand's field schema
Live-session bug: the chat model called record_hand but filled log_hand's
granular fields (position/hole_cards/board/streets), leaving `shorthand` empty →
the parser got nothing → "I couldn't parse that hand". The fragment/tool choice
was correct; only the argument shape was wrong.

- _record_hand now reconstructs a parseable description from the granular fields
  when `shorthand` is empty (_shorthand_from_fields), so it works regardless of
  which schema the model uses. Explicit `shorthand` still passes verbatim.
- Sharpened record_hand's spec: pass the ENTIRE hand as ONE `shorthand` string,
  not split fields (that's log_hand); shorthand is required + non-empty.

4 tests. Full suite 210 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-07 16:05:31 +00:00
serversdown 173fd18688 feat: cloud-first consolidation routing + graceful backend fallback
Nail down which backend each LLM path uses, and make the dream cycle resilient to
a backend being down (the MI50 outage left profile/era/narrative — pinned to mi50
with no fallback — aborting every dream cycle).

- Consolidation (summaries + profile/era/narrative) -> cloud via SUMMARY_BACKEND=
  cloud (.env, not committed). Matches the documented lesson that the MI50 is too
  slow/hot for bulk consolidation; nothing background touches the card now.
- llm.complete_with_fallback(): try the primary backend, fall back to cloud on
  error (re-raise if already cloud / no key). Wired into reflect + think so the
  introspection voice (3090/dolphin) survives the gaming PC being powered off.
- dream coherence stage is now fault-isolated: a rebuild failure logs + continues
  instead of sinking the whole pass (reflection still runs).
- .env: removed stale INTROSPECTION_BACKEND=mi50 (live routing is the web-switchable
  introspection_mode DB setting = dolphin/3090; the var only fed a dead fallback).

Verified: forced cycle runs consolidation on cloud, introspection on the 3090,
completes with zero MI50 calls. 206 pass, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
2026-07-07 06:53:55 +00:00
serversdown d4e203b00c docs: roadmap — Phase C live (MI50 --jinja + tool_backends flipped)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-06 18:53:56 +00:00
serversdown 56fb6d9a85 docs: roadmap — mark monolith deleted, classifier hardened, Phase C flip-ready
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 03:30:10 +00:00
serversdown 800cab8d36 feat(prompting): Phase C — make tool-backends config-driven (MI50-ready flip)
Enabling MI50 function-calling is now a config flip, not a code change:
cfg.tool_backends (env TOOL_BACKENDS, default "cloud") drives which backends get
tool specs. Once the MI50 llama.cpp server runs with --jinja + a tool-capable
model, set TOOL_BACKENDS="cloud,mi50" and MI50 chat drives the same tool contract
as cloud. Default unchanged (cloud-only), so this is safe with the MI50 down/
unverified — no live flip made (server is currently offline; --jinja unconfirmed).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 03:29:34 +00:00
serversdown e482ad591c feat(prompting): harden the poker classifier against real-world phrasings
Probed the heuristic against live-style messages and fixed 6 real gaps:
- action verbs missed -ing forms ("TAG's been limping") → no READ
- the descriptor-subject regex required words between "the" and the noun, so
  "the whale called" missed → now handles bare "the <noun>"
- player departures ("TAG busted", "TAG left") weren't TABLE → added _DEPART
  (gated to non-first-person so "I busted, heading home" isn't a roster op)
- the bare word "stack" made strategy questions ("should I stack off?") classify
  as LOG → LOG now needs a number/result word AND excludes questions
- thin MENTAL lexicon → added coolered/sick/brutal/run bad/etc.

21-case probe (13 former misses + 8 regression guards) all green; folded into the
suite as 5 hardening tests. Full suite 201 green. classify() stays the swappable
seam for an LLM/MI50 upgrade later.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 03:28:10 +00:00
serversdown 2fd7469033 chore(prompting): delete the dead _CASH_CARD monolith
The ~100-line card was superseded by the sharded poker_prompts (BASE + fragments)
and kept only as distillation reference. Fragments are proven in tests + a live
session; remove the dead source. No functional refs remained (card="").

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 03:24:23 +00:00
serversdown 5c8645bab6 docs: add ROADMAP.md — living to-do across poker + persona work
A single map of done/next/parked, organized by area (prompting, persona, tool
self-knowledge, pokerlog separation, logger features), framed by the
pokerlog-as-separable-system-of-record decision. Captures the two new asks:
streamline the persona's "How you talk" section (~180 tok of fat) and a broader
persona review, plus the stale "Right now" demotion.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 03:21:18 +00:00
serversdown 338c44361f feat(prompting): Phase B step 2 — wire the sharded poker prompt into the pipeline
build_messages now shards poker_cash: injects poker_prompts.BASE + exactly ONE
fragment chosen by classify(user_msg, roster_handles), replacing the ~100-line
_CASH_CARD monolith. Roster handles are fetched fail-safe from the live session so
the READ-vs-HAND split is reliable. CASH.card set to "" (monolith kept only as the
distillation source, superseded). Other modes' single-card path unchanged.

Verified end-to-end: TAG-limp→READ, his-hand→HAND, table-broke→TABLE, tilt→MENTAL,
bare-stack→LOG, all with BASE always present. 5 injection/pipeline tests. Full
suite 196 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 02:57:30 +00:00
serversdown 5380a00395 feat(prompting): Phase B step 1 — poker_prompts module (classifier + BASE + fragments)
The standalone piece, not yet wired. lyra/poker_prompts.py:
- classify(user_msg, roster_handles=()) — pure 7-type classifier
  (READ|HAND|TABLE|MENTAL|STATUS|LOG|CHAT), READ ranked above HAND so a villain's
  action lands on their file not Brian's. Roster-aware (seated handles passed in),
  handles poker shorthand (AKs) and strategy questions (→ CHAT not a logged hand).
  The swappable seam for an LLM/MI50 classifier later.
- BASE — lean always-on poker rules distilled from the monolith (log-first + tool
  routing, identity rules, rituals, equity, session_state).
- FRAGMENTS + fragment_for — per-type response-shape contracts.

13 unit tests incl. the READ↔HAND boundary. Full suite 193 green. Wiring next.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-05 02:54:59 +00:00
serversdown ad1087e630 feat(prompting): Phase A — suppress the two mush sources in poker mode
Per docs/superpowers/specs/2026-07-01-poker-prompts-design.md, Phase A. Two
independent pipeline fixes that reduce mush at the table, ahead of the classifier:

1. _mode_menu_note is no longer injected in poker_cash — mid-session she should
   not be offering to switch modes.
2. _route skips the register/mood nudge in poker_cash — the lexicon heuristic
   misfired (neutral logistics like "table broke, 11:50pm" read as tilt/fatigue).
   Poker register will come from the Phase B MENTAL fragment instead. Non-poker
   modes keep the nudge unchanged.

2 tests. Full suite 180 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 23:25:16 +00:00
serversdown 8693c60873 docs: readjust the poker-prompts spec for last night's scouting-desk/roster work
The message-type-prompts plan (sub-project 2) predated the scouting desk + roster
build on this branch. Readjust it so the prompting work starts from reality:

- Add a "Readjustment 2026-07-04" section: the real failure shifted from mush to
  MISSED TOOL CALLS; two new message types (READ, TABLE); HAND gains a
  hero-vs-observed split; the scouting desk is a live per-turn injection layer to
  compose with (not duplicate); BASE must cover the expanded toolset + identity
  rules; source card grew to modes.py:67-169; Phase A still unbuilt.
- Taxonomy → READ | HAND | TABLE | MENTAL | STATUS | LOG | CHAT, with READ above
  HAND (a villain's action lands on their file, not Brian's).
- New READ + TABLE fragments; BASE routes the full current tool set; STATUS
  narrowed to pure logistics; classify tests add READ/TABLE + the READ↔HAND edge.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 19:10:47 +00:00
serversdown c212099738 feat: host-side MI50 runaway watchdog (guard A, staged for install)
Independent Proxmox-host backstop to the in-app dream budget: a systemd timer
runs every ~2 min and stops lyra-brain if the MI50 is busy >=1hr continuously OR
junction >=97C for ~6 min, then pings Brian via ntfy. Trips on duration only
after a full hour so a legit ~40-min manual workload runs untouched. GPU temp/use
read from host rocm-smi; stop via 'pct exec 202 -- docker stop'.

Parsing + duration/temp decision logic dry-run-verified locally against real
rocm-smi output format (4 scenarios). NOT yet installed/live-verified — card is
off and Brian's away; install + trip-test per deploy/mi50-watchdog/README.md when
it's back.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
2026-07-04 19:05:32 +00:00
serversdown 3573ac8d79 feat: dream-cycle time budget + default per-call timeout (guard C)
Belt-and-suspenders so no dream pass can run unchecked for hours:
- llm.complete() now always bounds the OpenAI/mi50 request: default 300s +
  max_retries=0 instead of the SDK's 600s x2 (~30 min). One change bounds every
  consolidation/introspection call (profile/era/narrative/reflect/think), not
  just summaries. Live chat (chat_call*) is a separate path, unaffected.
- dream_cycle() enforces a 20-min wall-clock budget, checked between stages;
  once past it, remaining stages are skipped, it logs 'stopped early (over
  budget)', and notify.push() pings Brian. Paired with the host watchdog (A) as
  an independent fallback.

Tests: default timeout/max_retries threaded into complete(); an over-budget pass
skips later stages + pings. 178 pass, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
2026-07-04 19:05:32 +00:00
serversdown af778ef327 docs: spec for MI50 runaway guards (dream budget + host watchdog)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
2026-07-04 19:05:32 +00:00
serversdown e631797187 feat: guard summaries against degenerate (garbage) backend output
Observed live: an overheated MI50 returns a single char repeated ("?????") as a
successful 200, which neither the timeout nor the exception fallback catches — so
a degraded GPU would silently save capped garbage gists. Validate each summary
call's output: flag text (>=24 non-space chars) whose most-common non-whitespace
char exceeds 50%, raise DegenerateOutput, and let the existing retry->cloud
fallback handle it. Real prose (top char <20%) won't false-positive; short output
is exempt; cloud garbage raises rather than looping.

Tests: _looks_degenerate flags repeated-char / passes real prose / ignores short;
degenerate MI50 output falls back to cloud; cloud garbage raises. 177 pass.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
2026-07-04 07:26:17 +00:00
serversdown 29a4d59661 fix: cap MI50 summary length + fast-fail cloud fallback
The dream cycle's summarize_all ran uncapped against the MI50: no max_tokens
and no timeout, so the OpenAI SDK's 600s x2-retry default meant ~30 min per
call. Combined with summary.py's own retry loop, one unsummarizable session
pegged the GPU for hours (observed 2026-07-04: stuck since 23:02, nothing saved
since 00:56, 7-8k-token runaway generations, all 4 llama.cpp slots busy). Not
context overflow (0 shifts/truncations) - purely unbounded length on a slow
backend timing out and retrying.

- llm.complete(): add optional max_tokens (caps generation; num_predict for
  Ollama) and timeout (bounds the request and sets max_retries=0 so the caller
  owns retry policy). Both default None -> unchanged for every existing caller.
- summary.py: cap gists at 768 tokens, 150s/call fast-fail, 2 MI50 attempts
  then one cloud fallback (when primary isn't already cloud and a key exists).

Known limitation (scoped out per decision): the fallback triggers on
timeouts/exceptions, not on a degraded backend returning garbage as a 200.

Tests: fallback fires after 2 MI50 failures; no fallback when primary is cloud
or no key; cap+timeout threaded into every complete() call; llm bounds tests.
172 pass, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
2026-07-04 07:19:31 +00:00
serversdown 07153fc53d fix: recognize natural table-change phrasings for clear_table
"table broke", "I got moved", "switched tables", "new table" etc. all mean clear
the roster — spell them out in the Cash card (esp. "table broke" jargon) so it's
reliable, not dependent on her inferring it from "changes tables".

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 07:05:43 +00:00
serversdown e6134cf535 docs: spec for bounded MI50 summaries + cloud fallback
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015yrEb5qpPGv2FjyxrB7LLk
2026-07-04 07:01:42 +00:00
serversdown aefb22c823 feat: clear_table — empty the roster on a table change
"Clear the table" had no tool behind it, so she claimed she did it and nothing
changed. Add clear_table (empties the roster, keeps the session/stack/reads) and
a `replace` flag on seat_players for a one-shot table swap. Cash card: on a table
change / "clear the table", call clear_table then seat the new table — never claim
it without calling the tool.

2 tests. Full suite green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 07:01:11 +00:00
serversdown 5da13a7321 fix: session HUD syntax error + no-cache the app shell
- The roster card's empty-state string had a broken apostrophe escape
  ("who\\'s") that terminated the string early — a syntax error that killed the
  whole session.html script, so the HUD only rendered from a stale cached shell.
  Reworded to drop the apostrophe.
- Add a middleware that sets Cache-Control: no-cache on HTML/JS so a PWA can't
  keep serving a stale shell after a deploy (iOS heuristically caches when no
  cache header is present — the reason a hard refresh + reopen didn't update).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 03:54:18 +00:00
serversdown 9b844bc356 feat: live table roster — seat_players / unseat_player + HUD card
The missing backbone for read tracking: a place for "who's at the table" to live.
When Brian reads the table off Bravo (handles like TAG), Lyra registers them as
seated this session; reads/TAGs then attach to those players by handle instead of
spawning duplicates or getting missed.

- session_players table; seat_player/seat_players/unseat_player/session_roster;
  _resolve_or_create_player (shared name/descriptor resolution, dedupe guard).
- tools seat_players (accepts objects or a plain name list) + unseat_player.
- HUD gains `roster`; Session page shows a 🪑 Table card (seat, handle, category,
  read count, last read).
- Cash card: capture the roster when he names the table; a Bravo handle like TAG
  is a PERSON, seated as a player — never the tight-aggressive style.

5 tests. Full suite 162 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 03:41:20 +00:00
serversdown 8d2d7fb576 fix: correct the read-logging guidance — "Tag" is a player name, not a command
Prior commit misread "TAG" as an imperative ("tag this on his file"); it's
actually a player's handle (his initials). Rewrite the Cash-card rule around the
real gap: any "<player> did X" (limped/called/raised/shoved) is a read →
add_read log-first, every time. Player names are often short handles/initials
(Tag, JD, Wheelz) — use whatever he calls a person as-is, never as a poker term.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 03:26:57 +00:00
serversdown 3d886cdeae fix: make "TAG <player> <action>" a hard add_read trigger
Brian tracks who's limping by messaging "TAG <player> limped A4o in the SB". She
was treating these as chat, not logging them — and "TAG" is ambiguous (reads as
the tight-aggressive player type). Cash card now makes TAG an explicit order to
add_read on that player, log-first, covering limps/calls/raises/sizings/showdowns;
a bare "X limped" counts too. Names given at session start are the roster.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 03:25:20 +00:00
serversdown 392c46d8bf fix: stop spawning duplicate villains from descriptions in the name field
Root cause of "4 entries for the same person": physical descriptions were being
passed as `name`, creating a new *named* player each time the wording drifted
(exact-name match can't dedupe near-identical sentences, and the merge scan only
looks at descriptor embeddings).

- add_read: a `name` that looks like a description (comma-listed / long / has
  appearance words) is rerouted to the descriptor path so it dedupes.
- descriptor reads that are ambiguously close to an existing villain now file a
  merge_candidate to the review queue instead of leaving a silent duplicate.
- distinctiveness() reworked: recognizes specific content (proper nouns/brands,
  feature lists) as distinctive even when a generic word like "shirt" is present —
  the old list-only heuristic scored "Filipino, Fox Racing hat, DKNY shirt" as
  generic and gated it out.
- Cash card: name = real handle ONLY; the look goes in descriptor as a few
  distinctive tags, and use name_villain to fuse a name onto a described player.

Full suite 157 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 03:16:50 +00:00
serversdown 4ce1b05fad feat: edit hands from the viewer + "not my hand" disown
Addresses "no way to edit hands" and cleaning up misattributed ones:
- hand viewer (/hand/{id}) gets an "✎ Edit this hand" panel: position, cards,
  board, your net, tag, lesson → Save (existing PATCH), plus Delete.
- "Not my hand" → POST /hand/{id}/disown → poker.disown_hand clears the flat hero
  fields and rewrites structured with hero_involved=false, so a hand mislabeled as
  Brian's becomes a clean observed hand (replay stops showing him as hero).

1 test. Full suite 156 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 03:00:21 +00:00
serversdown 2be43848a7 fix: don't attribute observed hands to the hero
When Brian narrates a hand he watched between OTHER players, the parser was still
filling hero_pos/hero_cards — pinning someone else's cards, position, and result
to him. Now:
- parser prompt adds hero_involved detection: fill hero_pos/hero_cards ONLY if he
  was actually in the hand; a hand he only watched has hero_involved=false and
  null hero fields, with the other players recorded normally.
- normalize_structured enforces it as a safety net (hero_involved=false → null
  hero_pos/cards, hero_net) even if the model slips.
- record_hand tool confirms an observed hand as "not yours" instead of implying
  it was his.

2 tests. Restarting web for the live session.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-04 02:58:02 +00:00
serversdown d5c80f6153 feat: dream-cycle merge scan + pattern desk (leak recall)
Phases 5 & 6, completing the scouting desk.

Phase 5 — the nightly consolidation (dream cycle, coherence block) now runs
poker.scan_merge_candidates(), filing likely same-person merges to the review
queue off the hot path. Fail-safe: a scan error never sinks the cycle.

Phase 6 — "you've hit this leak before". Scar/confidence notes are embedded on
write; recall_similar_rituals() finds past ones close to the current spot,
excluding tonight. The scouting desk adds a pattern pass that surfaces them — but
ONLY on genuine strategy/tilt talk (a length + cue gate), so routine logging like
"stack 350" never pays for an embed. Respects the per-turn latency concern.

7 tests (deterministic embed stub to keep threshold assertions stable). Full
suite 153 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 23:01:53 +00:00
serversdown 056578ac75 fix: PATCH /player returns the flat player row (name-only edits)
The name-flip fallback returned villain_recall's nested {player:{...}} shape,
breaking r.json()["player"]["name"]. Always return update_player's flat row.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 22:57:17 +00:00
serversdown f20570fc03 fix: dedupe player-edit route + strip embedding blob from JSON
Follow-up to the /players build:
- the new POST /player/{id} collided with the existing PATCH route (F811); fold
  the name→named-flip into the existing PATCH and point the UI at it.
- villain_recall / update_player returned the raw row including
  descriptor_embedding (bytes) → PydanticSerializationError on the API. Strip it.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 22:56:45 +00:00
serversdown 3b3878ada1 feat: /players browser + identity review queue UI
Phase 4. A Players page that browses the whole villain file (named + nameless,
expandable to episodic recall — reads, notable hands, stats, descriptors) and, at
the top, the identity-resolution queue: possible-merges (same/different/dismiss)
and needs-clarification tasks. Rename a nameless villain, set category, or run a
dupe scan inline.

- poker.players_overview() for the list.
- routes: /players (page), /players/data, /player/{id}/data, POST /player/{id}
  (rename/retag), POST /identity/{id}/resolve, POST /players/scan.
- nav: 👤 Players.

Full suite green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 22:54:54 +00:00
serversdown f2944ed402 feat: confirm-loop tools + descriptor reads for nameless villains
Phase 3. She can now log and resolve identity at the table:
- add_read gains a `descriptor` param — a read on an unnamed player resolves to an
  existing descriptor villain (confident match) or opens a new one, so reads on
  "neck tattoo guy" accumulate and reuse across the night.
- name_villain(descriptor, name): attach a real name once caught (history carries).
- link_villains(a, b, same): merge on confirmed same-person, or mark distinct so
  she stops asking. Refuses to act on a vague reference — never merges on a guess.
- Cash card PLAYERS guidance: log nameless villains by distinctive descriptor,
  cite the SCOUTING DESK note, ask before assuming a callback, confirm before merge.

4 tests. Full suite 150 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 22:52:20 +00:00
serversdown 9cd962625d feat: scouting desk — proactive villain recall injected before she replies
Phase 2. On every poker-context turn, detect players named or described in the
message and slide their structured history into her prompt as a SCOUTING DESK
note (cite-don't-invent). Fail-safe: any desk error is swallowed, never breaks
the turn; silence is the default.

- poker.villain_recall(id): episodic brief — times/where seen, last seen, notable
  hands (linkable ids), reads, stats (Gap 1: the when/where/which-hand narrative).
- scouting.scout(): named hits (deterministic word match) + descriptor spans
  (regex → resolve_villain). High → surface + "confirm it's the same guy";
  ambiguous → file needs_clarification to the queue instead of interrupting;
  generic → stay silent.
- mind.build_messages wires it in, gated to poker modes (poker_cash/study).

5 tests. Full suite 146 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 22:49:40 +00:00
serversdown 8a6b11c56a feat(poker): nameless-villain identity resolution engine
Phase 1 of the scouting desk (docs/SCOUTING_DESK.md). Villains keyed by physical
descriptor when there's no name — a fuzzy key matched by embedding, venue-scoped,
gated on distinctiveness so a generic description never resolves to a wrong guess.

- schema: poker_players gains descriptors/descriptor_embedding/distinctiveness/
  named (name stays populated with a descriptor label to avoid a NOT-NULL rebuild
  on the live DB); new tables player_distinct_pairs + identity_queue.
- resolve_villain(ref, venue) → band name|high|ambiguous|generic|none; exact name
  is deterministic, descriptors match by cosine, generic-only refuses to guess.
- create_descriptor_villain / add_descriptor / name_villain; merge_players
  (repoints obs/reads, prefers a real name, re-embeds the union); mark_distinct +
  are_distinct (rejected merges stay rejected); identity_queue file/list/resolve
  with pending-dedup; scan_merge_candidates for the dream cycle (skips distinct
  pairs and cross-venue).

11 tests. Full suite 141 green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 22:46:24 +00:00
serversdown 22526d7938 docs: spec the scouting desk — proactive recall + villain identity resolution
Design for the "she remembers" north star: a poker stats-desk that slides
relevant structured context into her prompt before she replies (extends the
recall already running in mind.build_messages), plus the hard part —
nameless-villain identity resolution.

Captures: the two retrieval channels (deterministic entity vs semantic pattern);
descriptor-as-fuzzy-key identity (name becomes optional; descriptor embedding,
venue scoping, distinctiveness gating so generic descriptions don't cause
wrong-guy citations); seat-as-within-session-alias; the live confirm-to-merge
loop; and the async review interface (/players browser + a "possible merges /
needs clarification" queue that silence-at-the-table routes into, with rejected
merges recorded as known-distinct and the merge scan run in the dream cycle).
6-phase sequencing, to build after the trial-by-fire logging session.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 22:37:23 +00:00
serversdown 7f23aeae17 feat: poker-session notes are session narration, tagged by construction
The HUD's "her notes" panel showed any journal/note entry in the session's time
window — which swept in her *autonomous* journaling (dream-cycle reflections,
thought loop, existential musings) that merely overlapped in time. So a poker
session displayed her feelings, not the night.

Fix both halves:
- Identity: the `note` tool stamps `source=poker:{id}` when a session is live, so
  a session note is identifiable by construction. The HUD filters on that tag
  (kind='note' only) instead of a time window — her journaling has a different
  source and can never leak onto the poker HUD. `journal_write` stays her private
  journal and never shows here.
- Behavior: the Cash card now tells her to use `note` as a running SESSION LOG —
  factual beats a hand/stack log misses (table dynamics, Brian's arc, momentum),
  beat-reporter not diarist — and explicitly keeps feelings/reflection off the
  table. The note tool spec echoes this for the live-session case.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 19:41:35 +00:00
serversdown 71bbe07220 fix: scope a session's "her notes" to its own time window
The HUD's notes list filtered journal/note entries by `created_at >= started_at`
with no upper bound, so a *closed* session kept absorbing every note she wrote
afterward — a session from last Saturday would show a note jotted 25 minutes ago.

Cap the window at `ended_at` for closed sessions; live sessions (no end yet) stay
open-ended as before.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 19:35:15 +00:00
serversdown a4412aa023 feat: full-fidelity conversation export (chat + tool calls)
Chat only ever lived in SQLite's `exchanges` table (what was *said*); tool
calls were transient — logged to the in-memory ring buffer and gone at
end-of-turn. This adds a persistent record of what Lyra *did* and exports the
two merged into one transcript.

- memory: new `tool_events` table + `add_tool_event`/`tool_events` accessors;
  `delete_session` cascades to it.
- chat: persist each tool call (name/args/result) right where it fires, in both
  the non-stream and stream paths. Move the user `remember` to just after
  assembly so its timestamp precedes mid-turn tool events — keeps the export in
  true chronological order (and records when the message actually arrived).
- transcript: new module renders a session as Markdown (Brian/Lyra speech with
  ⚙ tool-call lines interleaved) or JSON (machine-readable event stream).
- server: GET /sessions/{id}/export?format=md|json (attachment download).
- ui: ⬇ Export button by the session selector (Markdown or JSON).

Doubles as the receipt for "did the tool actually fire?" — the thing that was
invisible when she'd reply about a hand without logging it.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-03 19:22:03 +00:00
serversdown 3afa75f4be docs: spec for poker message-type prompts (sub-project 2)
Phase A pipeline fixes (suppress the misfiring _route mood nudge + the
always-on mode-menu note in poker mode), Phase B classifier
(HAND/STATUS/MENTAL/LOG/CHAT) + per-type fragments replacing the
monolithic _CASH_CARD, Phase C MI50 tool-calling. NLH-only HAND
reasoning; PLO hands logged/replayed but not analyzed this pass.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-07-01 01:48:31 +00:00
serversdown 865834a8ae feat: hide stack quick-logger unless a poker session is live
Poll /session/data on load, every 10s, and on foreground; show the
stack box only when session.is_live, hide it otherwise (logging with no
live session just errors). Hidden by default until confirmed.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-30 05:55:33 +00:00
serversdown fb6b44a82e fix: color-match the iOS home-indicator strip to the bottom bar
iOS won't render interactive content in the bottom ~59px (home-indicator
zone) and underreports innerHeight by the top inset, so the bar can't be
pushed lower. Instead, keep the shell at 100dvh (no clipping) and paint
the strip below it the same color as the tab bar (html/body bg + a
lighter --bg-line bar + matched theme-color) so it reads as the bar
continuing to the edge rather than an empty gap. Cache-bust the
stylesheet so the PWA picks it up.

Tried the boolinator innerHeight-correction approach (adding the top
inset back via --actual-vh); it clipped the icons on-device, so reverted.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-30 05:27:44 +00:00
serversdown 393ca65dee fix: tab bar fills iOS home-indicator zone (no empty band below icons)
Switch the mobile #chat shell from 100dvh to full-height (100vh/100lvh)
and pad the tab bar by env(safe-area-inset-bottom) so the bar reaches the
physical bottom and its icons sit above the home indicator — instead of
leaving a same-color band below the icons. Keyboard-pinning path
(body.kb #chat) unchanged. Per building-ios-pwas skill; needs on-device
verification.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-29 00:30:27 +00:00
serversdown 14480c40b2 feat: HUD quick-capture (stack/buyin/cashout) + villain rename
Direct-capture inputs on the Stack card and a per-villain rename control
(fixes mislabeled players); expose player id in the HUD villains bundle.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-29 00:27:04 +00:00
serversdown 8d709b9554 feat: stack quick-capture box on chat page (no LLM)
Slim numeric input below the message box; posts to /session/stack and
drops a confirmation line into the Live Log without a chat turn.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-29 00:25:18 +00:00
serversdown 52839a9bc8 feat: reads/players API + REST route conformance test
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-29 00:02:25 +00:00
serversdown 8ad4bc4ce0 feat: hands API — log_hand endpoint, update_hand store fn, edit/delete routes
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-29 00:01:16 +00:00
serversdown 8031c277a2 feat: direct REST endpoints for stack/buyin/start-session (no LLM)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-29 00:00:21 +00:00
serversdown 36f2aa76b3 feat: poker operation contract + tool-spec conformance test
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-28 23:59:14 +00:00
serversdown a2835500bc docs: implementation plan for poker logging service (sub-project 1)
Seven tasks: contract module + conformance test, direct capture
endpoints (stack/buyin/start), hands API, reads/players API + route
conformance, chat-page stack quick-capture box, HUD quick inputs +
villain rename, and the iOS-PWA bottom safe-area fix. TDD with real
test/impl code grounded in the actual poker.py signatures and FastAPI
route patterns.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-28 23:27:58 +00:00
serversdown 5c63175a3c docs: restructure spec — poker logging service first, then Lyra wiring
Decompose into two sub-projects: (1) harden poker.py into a standalone
logging service with a complete REST API, a first-class documented
tool/API contract, and a human UI to log/edit/correct everything —
usable by Brian alone, zero LLM dependency; (2) wire Lyra in as a
client (classifier + message-type prompts), parked. Contract is
first-class because it's the shared seam for the cloud model, a
fine-tuned MI50 poker model, RTO, the human UI, and a future MCP wrap.
MCP deferred until a second host app exists.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-28 20:59:52 +00:00
serversdown 86f3d2dc0a docs: spec for poker message-type prompts + dumb capture
Two-track poker interaction: dumb data capture (stack/buyin/cashout)
that bypasses the LLM, plus a message-type classifier that injects
type-specific prompt fragments (HAND/STATUS/MENTAL/LOG/CHAT) in place
of the one broad poker card. Kills the false tilt-reads and the
coaching-essay-on-every-turn behavior. Includes the iOS-PWA bottom
safe-area fix and the 2nd input box from Brian's screenshot.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01G796GsLCvJQKVN7hwV2cDx
2026-06-28 03:54:31 +00:00
serversdown abac42c344 fix: serial consolidation on GPU backends (was timing out the MI50)
summarize_all fanned out 8 concurrent workers, but the MI50 llama.cpp server runs
a single slot (--parallel 1). Firing 8 at once queued them, blew the client timeout
('summary retry … Request timed out'), and thrashed/cancelled the KV cache — wasted
compute and heat. Concurrency is now backend-aware: 8 for cloud, 1 for local/MI50.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-27 09:26:25 +00:00
serversdown 44bb8687f7 feat: log every LLM call at the router boundary (backend/model/tokens/ms)
Background MI50 work was invisible — the dream loop logs one line per cycle, so a
multi-minute consolidation or a chat-on-mi50 showed nothing while the GPU pegged.
Now complete/chat_call/chat_call_stream each emit 'llm call' (kind, backend, model,
~tokens) and 'llm done' (ms, output size, tools). Watch what's hitting any backend
live via journalctl --user -fu lyra-dream -u lyra-web. No signature change, so
test stubs that replace complete() are unaffected.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-27 09:26:25 +00:00
serversdown cb4ed10c1a feat: session timeline (running log) + reliable live logging
She was logging stacks but skipping hands — the CASH card framed logging as one of
two registers, so she'd 'talk about' a hand instead of recording it (streaming
returns content OR tool calls). Fixes:

- CASH card: logging is mandatory and log-FIRST — trackable facts get the tool call
  before the reply, both not either/or, hands never skipped for conversation.
- log_stack gains a note ('card dead', 'doubled up vs the LAG') -> timeline context;
  tool spec + handler updated. Migration adds poker_stack_log.note.
- poker.timeline(): interleaves session start, stack updates (+context), hands
  (linkable), reads, and rituals chronologically in local time (clock.short()).
  Added to the hud() bundle.
- Session HUD: a 📜 Timeline card renders the running log with hand links — the
  '10:19pm start … 1:34a doubled up, $750 (hand)' view Brian wanted.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-27 07:26:14 +00:00
serversdown ba00530caf fix: report time in Brian's local timezone, not UTC
clock.stamp() (injected into her chat prompt via _now_note, and into reflection)
rendered UTC and ignored the configured timezone, so 'what time is it' answered in
UTC — hours off from his actual time, reading as 'she doesn't know the time'. Now
converts to config.timezone (America/New_York -> EDT/EST), UTC fallback if the zone
can't load. Storage stays UTC; this only changes what she reads.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-27 05:47:27 +00:00
serversdown 66dd880f93 feat: canonical structured-hand contract (Lyra->RTO transport)
Solidify hand histories into one versioned shape that gets stored, replayed, and
exported — the foundation the tap recorder will emit into and RTO consumes.

- normalize_structured(): single guarantee of the contract shape — canonical cards
  (unicode/10/case -> RankSuit tokens, unknown 'Ax'/'x' preserved), hero synced into
  players[] (RTO finds hero via pos==hero_pos), schema_version stamp, and a
  completeness summary so consumers skip suit-dependent math on partial hands.
  Idempotent; runs on store AND read (legacy rows conform on the way out).
- list_recent_hands: has_structured flag so the export/RTO knows which hands have a
  replayable body worth fetching.
- docs/HAND_HISTORY.md: the shared contract both repos cite (schema, conventions,
  ownership rule, one-way HTTP coupling, transport endpoints).
- replaces the narrow _normalize_parsed (unicode-only) everywhere.

Card format chosen: lists of 2-char tokens (unambiguous, matches what Lyra already
stores + the viewer reads). Unknowns kept + flagged rather than dropped.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-26 22:36:11 +00:00
serversdown a7901a66ae fix: phone app view zoom corrects 2026-06-26 20:44:11 +00:00
serversdown 2a73033eed perf: incremental profile rebuilds — fold new gists instead of re-digesting all
The profile pass map-reduced every session gist (~851) on every consolidation
firing — the biggest redundant-work and MI50-heat source left after the eras fix.
Now: skip when nothing's new, fold only the gists added since last build into the
existing profile, and full-rebuild only when there's no profile, too much has
accumulated to fold safely (>FOLD_LIMIT), on a periodic cadence (anti-drift), or
when forced.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-25 04:05:24 +00:00
serversdown aae8204eff Merge pull request 'feat: thought loop — Lyra's threaded, surfaceable train of thought' (#4) from feat/thought-loop into dev
Reviewed-on: #4
2026-06-24 23:47:38 -04:00
serversdown d6f3516a34 perf: incremental era rebuilds — skip unchanged months
rebuild_eras() re-digested EVERY month from scratch on every coherence pass,
including old months whose sessions never change — ~17 redundant 32B calls per pass
(a big slice of the ~40-min consolidation grind + MI50 heat). Now it compares each
month's current session count to the stored era and only rebuilds changed months
(force=True still does all). Report gains built/skipped counts.

test_era.py: builds all first pass, skips unchanged, rebuilds only a month that
gained a session, force rebuilds all. Suite 99 green, ruff clean.

(Profile rebuild re-reading all 851 sessions every pass is the bigger remaining
hog — separate, harder fix.)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-25 03:31:02 +00:00
serversdown 51c2d6abb9 perf: tighten the dynamic prompt — persona split + lean deliberation
The per-turn prompt was ~5.5K tokens (persona alone ~40%), sent up to 3x/turn.
Tightened by RELEVANCE (the control plane decides what each turn needs), not by
deletion — fidelity preserved, focus improved (buried instructions were getting
ignored), tokens roughly halved.

- persona split: core (identity + voice — always) vs situational sections pulled
  in only when relevant. mind._persona_block: self-model/origin only on meta turns
  (generous _META_HINTS), poker guardrails only in poker context (mode/strategic/
  _POKER_HINTS). persona.core_prompt()/section(); system_prompt() kept as fallback.
- lean deliberation: the private 'what do I think' pass now uses a focused context
  (her interiority + recent turns + the message), not the full persona/profile/
  narrative/recall dump. It shapes the take, not the voice.

Measured: casual Talk turn 21,949 -> 15,974 chars (-27%); deliberation 21,949 ->
6,026 (-72%); meta turns still include the self-model. Suite 98 green, ruff clean.

Real retirement of the long prompt is still the fine-tune (mouth); this is the
cheap, high-leverage cut that also improves adherence.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 20:48:44 +00:00
serversdown 8a3c9b2701 feat: she can suggest + switch modes (set_mode tool + mode awareness)
"She suggests, you confirm" — instead of brittle keyword→mode mapping, she's given
awareness of her modes + the ability to switch, and her judgment decides when to
offer (the model reads "should I drive to Cleveland?" vs "should I fold the river"
far better than a lexicon could).

- tools: set_mode(mode) — switches the session's mode; in _BASE (all modes).
- mind: a per-turn mode-menu note listing her modes + "offer a switch when the work
  clearly shifts; on his yes, call set_mode; don't nag."
- Sticky mode stays manual otherwise; Poker still auto-engages on session start.
- test: set_mode switches + rejects unknown. Suite 97 green, ruff clean.

Note: server-side switch takes effect next turn; the UI badge syncs on next mode
load (cosmetic lag).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 16:32:42 +00:00
serversdown 17ab95dc98 feat: Decide mode — a tie-breaker that settles choices instead of listing options
Brian's bottleneck is committing, not generating options, so a pros/cons dump makes
it worse. Decide mode's card: get the real decision crisp, weigh it against what HE
values + past regrets (pull running_stats/recent_sessions for poker/money calls),
MAKE the call with the one or two reasons that tip it, pressure-test it once, and
stand behind it — no "it's up to you." Read-only lookups, no live logging.

Sixth mode (Talk/Poker/Build/Explore/Study/Decide); added to UI selectors, labels,
badge-cycle. Suite 96 green, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 16:21:03 +00:00
serversdown 03aceec6fa feat(P3): mind/mouth split — separate voice model for the final reply (seam, default off)
The mind (chat backend/model) decides, reasons, and runs tools → a draft; the mouth
re-voices that draft in her character. Default: no mouth configured → the mind's
draft IS the reply, bit-for-bit the old behavior (and old streaming path untouched).

- config: MOUTH_BACKEND / MOUTH_MODEL. The slot for an eventual fine-tuned voice.
- chat: _mind_loop (tool/generation loop, non-stream, returns draft + tools_run),
  _voice_pass / mind.voice_messages (re-voice the draft, keep every fact/number),
  _mouth_target (active only when configured AND != mind). respond + respond_stream
  branch: mouth off = stream the mind directly (unchanged); mouth on = mind decides
  + runs tools, then the mouth streams the re-voiced reply. Falls back to the draft
  on any mouth failure (chat never breaks).
- Key payoff: the mouth needs no tool support (the mind handles tools), so it can be
  a non-tool character model (Dolphin / Claude / fine-tune). Makes the fine-tune
  easy: teach a small model to *sound* like Lyra, not to be smart.
- tests: mouth target on/off, voice_messages shape, voice_pass revoice+fallback.
  Suite 96 green, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 06:08:06 +00:00
serversdown a7af461cdb feat(P2): perceive (read the moment) + route nudges register on charged turns
The control plane gains senses — cheap, deterministic, no LLM:
- lyra/perceive.py: lexicon+signal heuristic → {sentiment, intensity, tilt, kind:
  emotional|strategic|meta|build|casual}. Good at the action-relevant signal,
  especially tilt (the mental-game core). Word-boundary matching so 'line' doesn't
  fire inside 'pipeline'.
- mind: _perceive fills ctx.moment; _route keeps the manual mode as the dominant
  frame but, on a genuinely charged moment, adds a per-turn register nudge — tilt →
  "meet him there, warm and steady, don't clip into logging"; up/energized → "match
  his energy." Neutral turns get nothing (don't over-narrate). Injected via
  build_messages(moment=...). Logged to /logs for observability.
- tests: perceive read (tilt/strategy/up/build/casual) + route nudge on/off.
  Suite 92 green, ruff clean.

Complements modes (manual frame) — perceive refines register within it, doesn't
override. Model routing (mind/mouth) is P3.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 05:42:36 +00:00
serversdown 904eda3388 refactor(P1): extract the turn pipeline into lyra/mind.py (behavior-preserving)
First step of the cognition control plane (docs/COGNITION.md). The chat turn is now
an explicit society of parts over a shared TurnContext blackboard:
  perceive (stub) -> route (session mode) -> compose (tiered prompt) -> deliberate.

- lyra/mind.py (new): TurnContext + the pipeline + assemble(); moved build_messages
  and the deliberation helpers here (the assembly belongs in the control plane).
- lyra/chat.py: slimmed to "speak + persist" — calls mind.assemble(), runs the
  tool/generation loop, persists. No behavior change (same prompt, same output).
- tests: point test_time/test_chat at mind; add an assemble() structure test;
  make test_chat/test_tools hermetic (CHAT_DELIBERATE off so respond() doesn't make
  a real LLM call). Suite 86 green in ~5s, ruff clean, no import cycle.

This is the frame; perceive/route/learn get filled in next phases — each opt-in.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 05:19:39 +00:00
serversdown f1f15972ac feat: work-type modes — Talk / Poker / Build / Explore / Study
The manual version of the architecture's `route` step: Brian points her at the
TYPE of work and her register + tools shift to match. Biggest single lever on the
'meh' problem (a mode card can demand decisive/technical/generative, countering
gpt-4o's default warm-vapor).

- modes.py: Build (heads-down engineering — decisive, concrete, tradeoffs, no
  listicles), Explore (open brainstorming — generative, riffs + honest catch,
  spawn threads, don't converge early), Study (poker review away from the table —
  analytical, GTO-aware, teaching; read-only lookups + analyze_spot). Cash relabeled
  Poker (key kept for compat).
- UI: mode selectors (desktop + mobile) get all five; badge taps now cycle modes.
- design: docs/COGNITION.md (the society-of-parts control-plane sketch).
- tests: presence + tool-gating for the new modes. Suite 85, ruff clean.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 03:43:37 +00:00
69 changed files with 7505 additions and 540 deletions
+2
View File
@@ -49,3 +49,5 @@ PING_AUTO_SALIENCE=0.8 # a thought this salient auto-pings even without an exp
PING_COOLDOWN_MIN=60 # min minutes between AUTO pings (explicit reach-outs bypass) PING_COOLDOWN_MIN=60 # min minutes between AUTO pings (explicit reach-outs bypass)
DIGEST_HOUR=18 # local hour to send her daily "what I've been thinking" digest DIGEST_HOUR=18 # local hour to send her daily "what I've been thinking" digest
CHAT_DELIBERATE=true # think privately before answering substantive chat turns (false = faster, shallower) CHAT_DELIBERATE=true # think privately before answering substantive chat turns (false = faster, shallower)
MOUTH_BACKEND= # mind/mouth split: separate character/voice model for the final reply (empty = mind speaks)
MOUTH_MODEL=
+54
View File
@@ -0,0 +1,54 @@
# MI50 runaway watchdog (fallback layer "A")
Independent host-side backstop to Lyra's in-app dream-cycle budget (layer "C",
`lyra/dream.py`). Stops the llama.cpp backend if the MI50 is busy too long or too
hot, and pings Brian. See
`docs/superpowers/specs/2026-07-04-mi50-runaway-guards-design.md`.
## What it does
Runs on the **Proxmox host** (`10.0.0.4`) via a systemd timer, every ~2 min:
- **Duration:** if the GPU is busy (`rocm-smi` use% > 0) for **3600s continuously**,
it stops the container. Any idle read resets the streak, so a legitimate ~40-min
manual workload never trips it.
- **Temperature:** if junction ≥ **97°C** for **3 consecutive checks (~6 min)**, it
stops the container — independent of duration.
- On either trip: `pct exec 202 -- docker stop lyra-brain`, clear state, `logger` a
line, and POST to your ntfy topic.
All thresholds are `Environment=` overrides in the `.service`.
## Install (on the Proxmox host, as root)
```sh
# copy the three files up (from the repo, on lyra-cortex):
scp -i ~/.ssh/id_lyra_proxmox deploy/mi50-watchdog/mi50-watchdog.sh \
root@10.0.0.4:/usr/local/sbin/mi50-watchdog.sh
scp -i ~/.ssh/id_lyra_proxmox deploy/mi50-watchdog/mi50-watchdog.{service,timer} \
root@10.0.0.4:/etc/systemd/system/
# on the host:
chmod +x /usr/local/sbin/mi50-watchdog.sh
# set your ntfy topic (same one Lyra uses) in the service:
sed -i 's/CHANGE_ME/YOUR_NTFY_TOPIC/' /etc/systemd/system/mi50-watchdog.service
systemctl daemon-reload
systemctl enable --now mi50-watchdog.timer
```
## Verify (when the card is back and healthy)
```sh
# dry run once, watch what it decides:
NTFY_URL= /usr/local/sbin/mi50-watchdog.sh; echo "exit $?"
journalctl -t mi50-watchdog -n 20 --no-pager
# force a trip test with tiny thresholds (won't touch a healthy idle card unless busy):
MAX_BUSY_SEC=60 TEMP_KILL_C=40 TEMP_KILL_STREAK=1 /usr/local/sbin/mi50-watchdog.sh
# confirm it stopped lyra-brain + sent the ntfy, then restart the container.
systemctl list-timers mi50-watchdog.timer # confirm it's scheduled
```
**Not yet installed / live-verified** — staged here on 2026-07-04 while the card is
off and Brian is away. Install + trip-test when the MI50 is back.
@@ -0,0 +1,16 @@
[Unit]
Description=MI50 runaway watchdog (stop the llama.cpp backend if the GPU is busy too long or too hot)
After=network-online.target
[Service]
Type=oneshot
# Fill in your ntfy topic so it can ping Brian when it trips (leave URL empty to log only).
Environment=NTFY_URL=https://ntfy.sh
Environment=NTFY_TOPIC=CHANGE_ME
# Optional overrides (defaults shown):
# Environment=MAX_BUSY_SEC=3600
# Environment=TEMP_KILL_C=97
# Environment=TEMP_KILL_STREAK=3
# Environment=CTID=202
# Environment=CONTAINER=lyra-brain
ExecStart=/usr/local/sbin/mi50-watchdog.sh
+82
View File
@@ -0,0 +1,82 @@
#!/usr/bin/env bash
# MI50 runaway watchdog — fallback layer "A".
#
# Runs on the Proxmox HOST (10.0.0.4) via a systemd timer (every ~2 min). It is the
# independent backstop to Lyra's own in-app dream-cycle budget ("C", in lyra/dream.py):
# if the MI50 is busy too LONG or runs too HOT, it stops the llama.cpp backend and
# pings Brian — regardless of what caused it. Trips on duration only after a full hour
# of *continuous* busy, so a legitimate ~40-min manual workload runs untouched.
#
# The GPU lives on the host; the llama.cpp container ("lyra-brain") runs inside LXC
# CT202. So temp/use come from host rocm-smi, and the stop goes via `pct exec`.
#
# See docs/superpowers/specs/2026-07-04-mi50-runaway-guards-design.md
set -uo pipefail
# --- tunables (override in the .service via Environment=) ---
CTID="${CTID:-202}" # LXC holding the docker container
CONTAINER="${CONTAINER:-lyra-brain}"
MAX_BUSY_SEC="${MAX_BUSY_SEC:-3600}" # 1 hr continuous busy -> stop
TEMP_KILL_C="${TEMP_KILL_C:-97}" # junction >= this ...
TEMP_KILL_STREAK="${TEMP_KILL_STREAK:-3}" # ... for this many consecutive checks (~6 min)
NTFY_URL="${NTFY_URL:-}" # e.g. https://ntfy.sh (empty => log only)
NTFY_TOPIC="${NTFY_TOPIC:-}"
BUSY_STATE="${BUSY_STATE:-/run/mi50-watchdog.busy_since}"
HOT_STATE="${HOT_STATE:-/run/mi50-watchdog.hot_streak}"
now="$(date +%s)"
alert() { # $1 title, $2 message
logger -t mi50-watchdog "$2"
if [[ -n "$NTFY_URL" && -n "$NTFY_TOPIC" ]]; then
curl -s -m 8 -H "Title: $1" -H "Priority: urgent" -H "Tags: warning" \
-d "$2" "$NTFY_URL/$NTFY_TOPIC" >/dev/null 2>&1 || true
fi
}
stop_backend() { # $1 reason
pct exec "$CTID" -- docker stop "$CONTAINER" >/dev/null 2>&1 || true
rm -f "$BUSY_STATE" "$HOT_STATE"
alert "MI50 watchdog stopped the card" "$1"
}
# Nothing to guard if the backend isn't even running.
running="$(pct exec "$CTID" -- docker inspect -f '{{.State.Running}}' "$CONTAINER" 2>/dev/null || echo false)"
if [[ "$running" != "true" ]]; then
rm -f "$BUSY_STATE" "$HOT_STATE"
exit 0
fi
use="$(rocm-smi --showuse 2>/dev/null | awk -F: '/GPU use \(%\)/ {gsub(/[^0-9]/, "", $NF); print $NF; exit}')"
junction="$(rocm-smi --showtemp 2>/dev/null | awk -F: '/junction/ {gsub(/[^0-9.]/, "", $NF); print $NF; exit}')"
# --- duration rule: accumulate continuous busy time in a state file ---
busy=0
[[ "${use:-}" =~ ^[0-9]+$ ]] && (( use > 0 )) && busy=1
if (( busy )); then
[[ -f "$BUSY_STATE" ]] || echo "$now" > "$BUSY_STATE"
since="$(cat "$BUSY_STATE" 2>/dev/null || echo "$now")"
elapsed=$(( now - since ))
if (( elapsed >= MAX_BUSY_SEC )); then
stop_backend "MI50 busy ${elapsed}s continuously (>= ${MAX_BUSY_SEC}s) — stopped ${CONTAINER}."
exit 0
fi
else
rm -f "$BUSY_STATE" # idle breaks the streak
fi
# --- temperature rule: independent of duration ---
if [[ "${junction:-}" =~ ^[0-9.]+$ ]]; then
jint="${junction%.*}"
if (( jint >= TEMP_KILL_C )); then
streak=$(( $(cat "$HOT_STATE" 2>/dev/null || echo 0) + 1 ))
echo "$streak" > "$HOT_STATE"
if (( streak >= TEMP_KILL_STREAK )); then
stop_backend "MI50 junction ${jint}C >= ${TEMP_KILL_C}C for ${streak} checks — stopped ${CONTAINER}."
exit 0
fi
else
rm -f "$HOT_STATE" # cooled off, reset the streak
fi
fi
exit 0
+10
View File
@@ -0,0 +1,10 @@
[Unit]
Description=Run the MI50 runaway watchdog every 2 minutes
[Timer]
OnBootSec=2min
OnUnitActiveSec=2min
AccuracySec=15s
[Install]
WantedBy=timers.target
+141
View File
@@ -0,0 +1,141 @@
# Lyra — Cognition Architecture (sketch)
> The "society of mind" direction: instead of one giant model we keep nagging with
> stricter prompts, a society of small specialized parts cooperate to produce each
> turn. **Most parts are cheap deterministic code (heuristics, math, learnable
> weights); the LLM is the exception, reserved for the few irreducibly-generative
> jobs.** Everything is anchored to who she is and tuned by feedback.
## Principles
1. **LLM is the exception, not the rule.** Bookkeeping, scoring, routing,
thresholding, retrieval → code. Generation (language, novel reasoning, memory
compression) → LLM, called sparingly.
2. **Mind ≠ Mouth.** A capable "mind" (decide / reason / use tools — helpfulness is
fine) is separate from a "mouth" (the character voice). This lets each be the
best model for *its* job — and makes the eventual fine-tune easy: you only have
to teach a small model to *sound like Lyra*, not to *be smart*.
3. **Anchored.** A fixed identity anchor governs the mouth so self-composed prompts
can't drift into generic-helper vapor. (Already exists: `self_state.IDENTITY_ANCHOR`.)
4. **Tuned by feedback, not just hand-tuning.** Learnable *weights* (over register,
memory, parts) nudged by 👍/👎 give real adaptation *without* fine-tuning a model.
5. **Allocation is the craft.** Cheap-deterministic where signal is clear; LLM where
judgment/language is needed; **hybrid** (heuristic common-case, escalate to LLM on
ambiguity) where possible.
## The blackboard: `TurnContext`
Parts don't call each other directly — they read from and write to a shared turn
state (a blackboard). Heterogeneous parts (heuristic / LLM / weights) cooperate by
annotating it. The composer reads the finished blackboard to build the prompt.
```
TurnContext {
# --- inputs ---
user_msg, session_id, history, now
# --- perception (heuristic) ---
moment : { kind: emotional|strategic|casual|existential|meta,
sentiment: -1..1, tilt: 0..1, urgency: 0..1 }
# --- state (code) ---
mood, drives, anchor
# --- retrieval (math: embeddings + cosine) ---
recalled : [memories] # spreading activation
threads : [active thoughts]
profile, narrative
# --- control (heuristic + learnable weights) ---
register : warm | coach | dry | tender | hype # how to sound
intent : console | push_back | teach | riff | act
mode : talk | cash | ... # tool allow-list
use_tools: bool
route : { mind: <model>, mouth: <model> } # which model per role
# --- generation (LLM, sparing) ---
deliberation : "her private thinking" # mind
tool_results : [...] # mind + tool exec
reply : "final text" # mouth
# --- learning (heuristic/online) ---
weights : { register_prefs, memory_weights, ... } # persisted, feedback-tuned
}
```
## The parts
| # | Part | Type | Does | Exists today? |
|---|------|------|------|---------------|
| 1 | **perceive** | heuristic | sentiment + classify the moment + tilt/urgency from session signals & his language | ✗ (new) |
| 2 | **recall** | math | embeddings → relevant memories, active threads, profile, narrative | ✓ `memory.recall*`, `cognition.activate` |
| 3 | **sense_state** | code | load mood / drives / anchor | ✓ `self_state`, `IDENTITY_ANCHOR` |
| 4 | **route** | heuristic + weights | pick register, intent, mode, and which model is mind vs mouth | ✗ (new; partly `modes`) |
| 5 | **decide+act (tools)** | LLM (mind) / code | does this turn need a tool? run it | ✓ tool loop in `chat` |
| 6 | **deliberate** | LLM (mind) | "what do I actually think" — private substance pass | ✓ `chat._deliberate` |
| 7 | **compose** | code | assemble the final prompt from anchor + register + intent + deliberation + recall + tool results + voice rules | ✓ `build_messages` (becomes the composer) |
| 8 | **speak** | LLM (mouth) | write the reply in her voice, streamed, anchored | ✓ `llm.chat_call` |
| 9 | **learn** | heuristic/online | on 👍/👎 or reaction, nudge `weights` (which register/memory worked) | ✗ (new; data exists in `ratings`) |
Most of the society (1,2,3,4,7,9) is **free, instant, deterministic, debuggable.**
The LLM shows up in only ~23 places (5/6 = mind, 8 = mouth).
## One chat turn
```
user msg
[1 perceive]──heuristic: emotional? strategic? tilting? (free)
[2 recall]───math: what lights up (memories, threads) (free)
[3 sense]────code: mood, drives, anchor (free)
[4 route]────heuristic+weights: register? intent? mind/mouth? (free)
[5 act]──────MIND model: tools if needed ─────────────┐ (LLM, only if needed)
[6 deliberate]──MIND model: what do I actually think │ (LLM, gated)
│ │
[7 compose]──code: build the prompt ◄──── anchor ──────┘ (free)
[8 speak]────MOUTH model: the reply, in her voice, streamed (LLM)
reply ──► (later) [9 learn]: 👍/👎 nudges weights (free, async)
```
## What we reuse vs. build
- **Reuse (already scattered through the code):** recall/activation, self_state +
anchor, drives (in `dream`), modes (tool gating), the deliberation pass, the
prompt assembly (`build_messages`), tool loop, ratings store.
- **Build new:** the `TurnContext` blackboard + an explicit pipeline runner; the
**perceive** heuristic; the **route** part (register/intent + model routing); the
**learn** weights loop. Mostly *unifying* existing pieces into one legible control
plane, plus 23 small heuristic parts.
## Phasing (smallest first)
- **P1 — frame:** define `TurnContext`, refactor the current chat turn into the
explicit pipeline (perceive=stub → recall → sense → route=mode-only → deliberate →
compose → speak), single model. Low-risk refactor; makes the structure real.
- **P2 — control plane:** real `perceive` (sentiment/moment) + `route`
(register/intent). Now her framing adapts to the moment, deterministically.
- **P3 — mind/mouth split:** route picks a separate voice model for `speak`. Plug a
character mouth (Claude / local / later a fine-tune). A/B vs. single-model.
- **P4 — learning:** `weights` over register/memory, nudged by ratings → cheap
adaptation, no fine-tune.
- **P5 — her voice:** a small fine-tuned "Lyra voice" model drops into the mouth slot.
## Open decisions
- **Mouth model**: Claude (warm, cloud) vs. local character vs. fine-tune. The mouth
is the crux; it must render richly (8B local may flatten).
- **perceive**: pure heuristics vs. a tiny classifier vs. embedding-to-exemplar
clusters. Probably hybrid.
- **scheduler**: fixed linear pipeline (simple, v1) vs. drive-based/parallel later.
- **tool location**: mind decides+runs tools, mouth only renders (clean split) — vs.
letting the mouth call tools (needs a tool-capable mouth).
- **latency budget**: how many LLM calls per turn is acceptable live (cheap mind +
streamed mouth keeps it ~2).
```
+72
View File
@@ -0,0 +1,72 @@
# Hand-history contract (Lyra → RTO)
The canonical structured shape for a poker hand. **Lyra owns hands** — it produces this
shape (LLM parser today; the tap recorder natively, going forward), stores it, replays it
in the viewer, and exports it. **RTO consumes it** over HTTP and never reaches into Lyra.
Ownership rule: whoever owns the data owns the tools that produce it. Lyra owns the hand
DB, the viewer, and the copilot loop, so hand capture lives here. RTO is a pure engine.
Coupling: **one arrow, Lyra → RTO, HTTP only.** RTO is a standalone service (solve /
exploit / estimate); Lyra POSTs to it when it wants analysis. No shared package, no shared
DB, no shared UI components. If RTO is down, Lyra skips analysis and nothing breaks.
## Schema (`schema_version: 1`)
```jsonc
{
"schema_version": 1,
"game": "NLH", // NLH | PLO | ...
"stakes": "1/3", // or null
"hero_pos": "BTN", // one of POSITIONS
"hero_cards": ["Ah", "Kh"], // convenience mirror of the hero's players[].cards
"players": [ // every player in the hand, incl. hero
{"pos": "BTN", "stack": 300, "name": "Hero", "cards": ["Ah","Kh"], "hero": true},
{"pos": "BB", "stack": 250, "name": "Sal", "cards": null} // cards: null unless shown
],
"actions": [ // one flat chronological list across all streets
{"street": "preflop", "pos": "BTN", "action": "raise", "amount": 15},
{"street": "flop", "board": ["7d","2c","5h"]}, // a street begins with its board reveal
{"street": "flop", "pos": "BB", "action": "check"}
],
"board": ["7d","2c","5h"], // full final board, 05 cards
"result": {"pot": 40, "hero_net": 25, "summary": "one line"},
"completeness": {"cards": true, "board": true, "actions": true}
}
```
### Conventions (load-bearing)
- **Cards are lists of 2-char tokens**, `RankSuit`: rank in `23456789TJQKA` (ten = `T`),
suit in `c d h s` (lowercase). E.g. `["As","5d","2c"]`. RTO maps each token via
`pokercore.parse_card`. *(Chosen over space-joined strings: unambiguous, no re-splitting,
and it's what Lyra already stores + what the viewer reads.)*
- **Unknown cards are kept, not dropped:** `"Ax"` = known rank / unknown suit, `"x"` =
fully unknown card. The LLM parser emits these when Brian didn't state suits. The tap
recorder won't — it captures complete cards by construction — so `"x"` is an
import/parser-only concern.
- **`completeness`** tells a consumer what's safe to use: `cards`/`board` are `true` only
when every relevant card is fully specified (no `"x"`). RTO uses `false`-card hands for
positions/frequencies/pairs and skips suit-dependent math (flushes).
- **Hero appears in `players[]`** with `"hero": true` and is findable via `pos == hero_pos`.
`hero_cards` is a mirror for the viewer; `players[].cards` is the source of truth.
- **Positions:** `UTG UTG1 UTG2 MP LJ HJ CO BTN SB BB`.
- **Actions:** `post fold check call bet raise allin`. `amount` is a plain number (no `$`),
null for non-sized actions (fold/check). Street boards appear as `{street, board}` entries.
- **Streets:** `preflop flop turn river`.
`lyra/poker.py:normalize_structured()` is the single function that guarantees this shape.
It runs on store and on read, and is idempotent.
## Transport (HTTP, Lyra serves on :7078)
- `GET /hands/data?limit=N` → `{ "hands": [ {id, position, hole_cards, board, result, tag,
at, lesson, venue, stakes, has_structured}, ... ] }` — flat list for browsing. Use
`has_structured` to pick which hands have a replayable body worth fetching.
- `GET /hand/{id}/data` → the full hand row; `structured` is the object above (or `null`
for a flat quick-log that hasn't been reconstructed).
RTO's "Lyra bridge" (its `docs/estimator-design.md`, Phase B) walks `structured.actions`
to classify each villain decision into `checked_to` / `facing_bet` / `facing_raise`, and
uses shown `cards` + that street's `board` for board-relative categories. Everything that
walk needs is in the schema above.
+149
View File
@@ -0,0 +1,149 @@
# Lyra — Roadmap / To-Do
Living doc. Working priorities and open threads, organized by area. Not a spec —
specs live in `docs/` and `docs/superpowers/specs/`; this is the map of what's
done, what's next, and what's parked.
- **Last updated:** 2026-07-11
- **Frame (the load-bearing lens):** Lyra is the AI-with-tools (unchanged). The
**pokerlog is its own separable system-of-record** — she's a *client* of it via
tools, not its container. The logger must be correct/trustworthy first; Lyra's
value (memory, recall, scouting, coaching) rides on top. Two kinds of memory,
kept distinct: the **ledger** (facts: hands/villains/stats) vs the
**relationship** (her memory of the sessions). See the `poker-copilot` memory +
`docs/poker-logging-service` spec.
Status key: ✅ done · 🔨 in progress · ⬜ queued · ⏸ blocked/waiting · 💭 decision open
---
## Prompting (poker mode)
Spec: `docs/superpowers/specs/2026-07-01-poker-prompts-design.md`
-**Phase A — pipeline fixes.** Suppress the mode-menu note + the false-tilt
mood nudge in poker_cash.
-**Phase B — classifier + fragments.** `lyra/poker_prompts.py`: pure
`classify(msg, roster_handles)` (READ|HAND|TABLE|MENTAL|STATUS|LOG|CHAT), lean
always-on `BASE`, per-type `FRAGMENTS`. Wired into `build_messages`; the
~100-line `_CASH_CARD` monolith is sharded out (`CASH.card=""`).
-**Deleted the dead `_CASH_CARD`** monolith (modes.py 256→161 lines).
-**Classifier hardening (round 1).** Fixed 6 real gaps found by probing
live-style phrasings (-ing action forms, "the whale" bare descriptor, player
departures→TABLE, "stack" leaking questions into LOG, thin MENTAL lexicon). 18
unit tests. Still a heuristic + swappable seam — upgrade to an LLM/MI50
classifier only if live misses justify it; keep tuning against real transcripts.
-**Phase C — MI50 tool-calling (LIVE 2026-07-06).** Added `--jinja` to the
lyra-brain llama.cpp launch (`/opt/models/docker-compose.yml` in CT202, so it's
reboot-resilient); Qwen2.5-32B confirmed emitting real `tool_calls`. Flipped
`TOOL_BACKENDS=cloud,mi50` in `.env`. MI50 chat turns now get the same tool
contract as cloud. (Untested in a real poker session on the mi50 backend — worth
a live check that tool-calling holds up under the full poker prompt.)
## Persona (the "person" layer)
The persona core is always-on (~719 tok). Identity legitimately earns always-on
status, but there's fat.
-**Streamline `How you talk`.** It's 439 tok (61% of the core) with loose
prose. Keep the load-bearing rules (prose-not-listicle, give opinions, no
reflexive sign-offs, own your moods) but tighten to ~250 tok. ~180 tok saved,
zero substance lost. (Brian flagged 2026-07-05.)
-**Broader persona review.** Take a full pass at `lyra/personas/lyra.md` — is
each section earning its place, always-on vs situational split right, anything
stale or redundant? (Brian flagged 2026-07-05.)
-**Fix/demote the stale `Right now` section.** It asserts "stats tracking,
player profiling… are coming" — both are SHIPPED. It's status prose that
shouldn't be always-on and drifts stale. Demote from core → situational (loads
only when she's asked what she can do), or fold into the tool-self-knowledge
layer below. 74 tok/turn + stops asserting wrong status.
## Tool self-knowledge ("a person with strong tools")
She can *call* tools but doesn't *know*, as a person, what she can do — no standing
self-knowledge of her hands.
-**Capability self-knowledge, generated from the tool registry.** A
`tools.capability_summary()` rendering the live `TOOLS` dict into a grouped,
first-person "here's what I can do" — self-maintaining, can't drift. Inject in
the self/meta persona sections (occasional, NOT every turn — keeps the hot path
lean).
-**Grounding principle (level 2).** Lean always-on line: facts come from
tools/memory, never confabulate, "let me check" is always allowed. Reinforces
BASE's log-first rule; important under the system-of-record frame.
-**Agency framing (level 3).** Tools are HERS — reached for because she wants
to help, not an external API. Tone in the persona.
- Note: composes with the prompting work — capability self-knowledge = IDENTITY
(occasional); BASE = operational routing (always-on poker). Don't duplicate the
tool list across both registers.
## Pokerlog separation (architecture)
The domain is well-isolated (`lyra/poker.py`, one 2000-line pack) but still an
in-process module sharing `lyra.db` and reaching into `lyra.memory`/`llm`.
- 💭 **Decide how far to physically separate now** (Brian, not yet decided):
- **A. Logical API boundary** — everything goes through a defined interface,
still in `lyra.db`. Cheapest.
- **B. Own datastore + package, same repo** (my rec) — own DB, no reach-back
into Lyra; standalone-able without a second service to run. Biggest concrete
change: poker tables currently live IN `lyra.db`.
- **C. Full standalone MCP/HTTP service** — separate process, agent-agnostic
(any harness could drive it). Purist end; most work.
- Origin of the frame: Lyra-as-poker-agent was contingent (ChatGPT couldn't call
tools, Lyra could). The real need was "an agent that can drive my pokerlog" →
the logger should be agent-agnostic. See `docs/poker-logging-service` spec.
## Poker logger (the ledger — features)
- 🔨 **Roster active/seen (two lists).** `session_players.active` already backs
it; surface the seen side. `session_roster()` = active; add `session_seen()` =
active=0; HUD shows 🪑 At the table + 👋 Seen tonight. Re-seating flips seen→
active. Classifier's READ↔HAND match should check active + seen handles. (Brian's
idea, 2026-07-05.)
-**Human-editability sweep.** System-of-record must be fixable. Hand editor +
disown ✅, `/players` browser + identity queue ✅. Audit for gaps (session-level
edits, read edits, bulk fixes).
-**Roster → hand seat/name resolution.** When a logged hand references a
*position* (CO, BTN…) that maps to a seated roster player, fill in their name +
link the observation — so "the CO 3-bet me" attaches to TAG without Brian naming
him. The hard part: hand positions ROTATE every hand while the roster tracks
fixed physical seats, so it needs seat-number + button-position tracking per hand
to map position→person (a wrong guess mislabels a villain — worse than blank).
Real feature, not a fill. (Brian's idea, 2026-07-11.) Pairs with the roster
active/seen work above.
- Shipped this stretch: scouting desk (proactive recall + nameless-villain
identity, all 6 phases), roster seat/unseat/clear, observed-hand fix + hand
editor, villain-dup fix, conversation export (+ tool events), session-scoped
notes, no-cache app-shell header. **2026-07-11:** guaranteed hand logging
(force + tool-visible history), showdown reads via `analyze_spot` + de-mush,
idempotent hand logging, any-seat straddle capture, hero-stack auto-fill from the
stack log, and turn de-duplication (killed the SSE-stream + blocking-fallback
double execution).
## Parked / longer-horizon
### Parked feature branches (real, half-built work — to explore later)
Both are pushed to origin (gitea), so they're safe to leave dormant. Not cruft —
resume when the moment's right; don't delete.
-**`feat/hand-recorder`** — tap-to-build hand recorder V1 (`recorder.js/css`,
`POST /hands`, straddle support, notch/safe-area fixes). 8 commits. Shelved
because V1 was too tedious vs. narrating a hand in chat, so it was superseded by
the chat-narration `record_hand` flow. Still want to revisit the *idea* (a fast
structured recorder), just not that UI. See `docs/RECORDER.md` on the branch.
-**`feat/decision-log`** — data layer for a **"Decide mode"** (a learning layer:
log your decisions to learn from them). 1 commit, never merged; adds
`docs/DECISION_LOG.md` + `tests/test_decisions.py`. A genuine future feature, not
abandoned. See `docs/DECISION_LOG.md` on the branch.
- Retired 2026-07-10: `feat/thought-loop` (fully shipped — `lyra/thoughts.py` is
live), `feat/prompting` + `feat/poker-mode-prompts` (renamed → `feat/poker`).
### Moonshots
- Moonshots live in `docs/PARKED_IDEAS.md` (own model, memory-as-vectors, prompt
compression, RTO/cfr-core solver tooling).
- Metacognitive reflection loop (self-model Part 2) — queued self/experiment work.
- PLO/Omaha strategic analysis (equity engine) — non-goal for now; PLO hands are
logged/replayed but not NLH-analyzed.
+167
View File
@@ -0,0 +1,167 @@
# The Scouting Desk — proactive poker recall + villain identity resolution
*Design spec. Not built yet. Companion to the "she remembers" north star in the
`poker-copilot` memory. Written 2026-07-03, before the trial-by-fire session.*
## Purpose
Turn the copilot from a logbook into a copilot that **remembers across sessions,
unprompted** — the way a broadcast stats desk slides a note to the color
commentator: *"he mentioned the guy's hot streak → here are his last 10 games."*
Target moments:
- *"you had this exact leak last week too, remember?"*
- *"neck-tattoo guy just 3-bet you — last time he did that at the Meadows he had it."*
- *"Sleepy John was here two weeks ago; you stacked off AK into his set."*
The failure mode to avoid at all costs: **confident-but-wrong.** A stats desk that
guesses gets the commentator burned on air. **Silence is the default; the desk
speaks only when there's real signal.**
## What already exists (don't rebuild it)
`mind.build_messages()` already runs a recall pass on **every** message:
`memory.recall(user_msg)` over past exchanges + `memory.recall_summaries(user_msg)`
over session gists, injected as system notes before she replies. The
"slide-a-note-in-before-she-speaks" machinery is already the architecture. This
spec **adds a poker desk** to that pass — it does not build a new RAG system.
Episodic links also already exist: `link_hand_players` writes a
`player_observations` row per named villain in a recorded hand, carrying
`hand_id` AND `session_id`; `player_reads` carry `session_id`. So villain →
observation → hand → session/date is reconstructable today.
## Two retrieval channels (don't conflate them)
1. **Entity desk — deterministic.** A known **name** in the message → exact/fuzzy
SQL match on `poker_players` → pull dossier + your history vs him. ~1ms, no
hallucination. This is the "hears the name, pulls last 10 games" case.
2. **Pattern desk — semantic.** No entity to key on ("I keep punting these river
bluffs") → embed the message, retrieve similar **scar notes / hands / recap
passages** by meaning. This is where embeddings earn their keep. Also the
backbone of nameless-villain matching (below).
Both feed one injected **STATS DESK** system note, relevance-gated.
## The hard part: nameless villains
Most live villains have no name. Brian identifies them by **physical descriptor**
("guy with the lips/neck tattoo"), by **seat** ("seat 4", "two to my left"), or —
uselessly — **generically** ("mid-aged white dude with glasses").
### Current gap
`poker_players.name` is `NOT NULL` and identity is an **exact name match**
(`upsert_player``WHERE name = ?`). The `description` column exists but is dead
weight: not a key, not embedded, never matched. **Nameless villains can't exist
today.** This is the core schema fix.
### Identity model — descriptor as a fuzzy primary key
Store a villain as:
- `name` — now **optional**.
- `descriptors` — accumulated distinctive physical tags heard over time
("neck tattoo", "lips ink", "heavyset", "bald+beard").
- `descriptor_embedding` — embedding of the accumulated distinctive tags, for
semantic match against drifting phrasings.
- `venue` — a strong disambiguator (the neck-tattoo reg at the Meadows ≠ the one
at Wheeling, unless Brian travels).
- `distinctiveness` — a weight; distinctive features (tattoos, scars, a name)
score high, generic ones (age/race/glasses) near zero.
### Resolver — matching an incoming reference
1. **Name present** → exact/fuzzy SQL match (entity desk). Done.
2. **Descriptor present** → embed it, compare to `descriptor_embedding` of known
villains **scoped to the current venue**, weighted by distinctiveness.
3. **Confidence bands:**
- **High** (distinctive + strong match) → surface the file; if live, a light
confirm ("the neck-tattoo LAG from 3 weeks ago?").
- **Medium/ambiguous** (several candidates, or a middling score) → **do NOT
interrupt.** File a `needs_clarification` task to the review queue and stay
quiet, OR ask only if it's decision-relevant right now.
- **Generic-only** (no distinctive signal) → **refuse to guess.** Stay silent
or ask for one distinctive detail ("anything that stands out — ink, chips,
how he plays?"). Wrong-guy citation is worse than nothing.
- **No match** → new villain; open a descriptor-keyed dossier.
### Seat = within-session alias only
The live session keeps a `seat → villain` map so reads accumulate whether Brian
says "seat 4" or "the tattoo guy." Seats evaporate when the session ends — they
mean nothing next week.
## Confirmation loop (live, in chat)
Auto-merging on a fuzzy match is dangerous, so she **proposes and Brian confirms**
in natural language:
> Brian: "neck tattoo guy just 3-bet me again"
> Lyra: "The neck-tattoo LAG from the Meadows three weeks ago — the one who
> stacked you with the flush? Or new guy?"
> Brian: "yeah him" → reinforce identity · "nah different" → split, and learn
> what distinguishes them.
Handles name-arrives-later for free: catch his name off Bravo → "merge neck-tattoo
guy into 'Danny'" → history follows.
## The review interface (async, out-of-band)
Silence at the table ≠ forget it → it routes to a queue Brian clears at his pace.
### `/players` — villain file browser
List: name-or-lead-descriptor, venue, category (feeder/risky/reg), hands
observed, VPIP/PFR (when sample is real), last seen, distinctive tags. Detail
view: reads, showdowns, notable hands (link to `/hand/{id}`), sessions seen,
stats. Edit / rename / retag / delete / manual-merge.
### Resolution queue — two lanes
- **Possible merges** — two profiles likely one person (high descriptor
similarity + same venue, below auto-merge). Side-by-side → **Same guy** (merge)
/ **Different** (split).
- **Needs clarification** — a descriptor that matched several candidates, or a
nameless villain the resolver couldn't place → pick match / **New guy**.
### Two rules that keep the queue from rotting
1. **A rejected merge stays rejected** — record the pair as *known-distinct* so it
never re-surfaces; start tracking the distinguishing tell.
2. **Merge-candidate scan runs in the dream cycle**, not the hot path — nightly,
compare descriptor embeddings within each venue, file new maybes. Zero live
latency.
## Injection format & gating
A single system note, clearly marked as structured fact so she cites it (not
confabulates), e.g.:
```
STATS DESK — Neck-tattoo guy (Meadows, LAG/reg): seen 3×, last 2wk ago.
vs you: hand #38 (AK, stacked off into his set). Reads: overfolds turn,
3-bets light from the CO. Sample: 22 hands — VPIP 41 / PFR 28.
```
Gate hard: inject only on a confident entity hit or a strong semantic score.
Default to nothing. Never inject a generic-only guess.
## Honest limits
Never perfect. Some players are genuinely indistinguishable — fine. The system's
only job: **right when there's signal, quiet when there isn't.**
## New data model (sketch)
- `poker_players`: `name` → nullable; add `descriptors TEXT`,
`descriptor_embedding BLOB`, `distinctiveness REAL`.
- `player_distinct_pairs(a_id, b_id, note, created_at)` — rejected merges.
- `identity_queue(id, kind, player_ids, descriptor, context, session_id,
confidence, status, resolution, created_at)` — kind ∈ {merge_candidate,
needs_clarification}.
- Live-session `seat → player_id` alias map (in-session only).
## Sequencing (after the trial-by-fire session — recall feeds on real data)
1. **Nameless identity + resolver** — schema, descriptor embedding, venue-scoped
semantic match, distinctiveness gate. (Unblocks everything.)
2. **Scouting-desk injection** — wire entity + pattern recall into
`build_messages` as the gated STATS DESK note.
3. **Confirmation loop** — the live propose/confirm/merge/split UX in the persona.
4. **`/players` browser + resolution queue UI** — the async review interface.
5. **Dream-cycle merge scan** — nightly candidate generation.
6. **Pattern desk** — semantic recall over scars/notes/recaps for "this leak
again."
@@ -0,0 +1,720 @@
# Poker Logging Service Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** Turn `lyra/poker.py` into a standalone logging system-of-record with a complete REST API, a single source-of-truth tool/API contract, and a human UI to log and correct everything — usable by Brian with zero LLM dependency.
**Architecture:** Thin FastAPI routes wrap the existing (already-working) `poker.py` store functions; a declarative `poker_contract.py` pins operation names + required args so the REST API and Lyra's LLM tool specs can't drift; the web UI gets dumb capture inputs (2nd stack box on chat, quick inputs on the HUD) and correction controls. This is sub-project 1 of 2; Lyra's classifier/prompts (sub-project 2) are parked.
**Tech Stack:** Python 3.11+ (venv runs 3.14), FastAPI + uvicorn, SQLite (WAL), pytest, vanilla HTML/JS/CSS.
## Global Constraints
- Python files: start with `from __future__ import annotations`; 4-space indent; ruff `line-length = 100`, `target-version = "py311"`.
- **`lyra/web/static/index.html` uses CRLF (`\r\n`) line endings and mixed tabs/spaces.** Every other static file (`session.html`, `style.css`, `nav.js`) and all Python use **LF + spaces**. Match the file you edit or you produce a noisy diff.
- Pure data capture (stack / buy-in / cash-out / hand / read) must reach the store via the REST endpoints, **never** through the chat/LLM path.
- `poker_contract.py` is the single source of truth: REST routes and `tools.py` specs must agree with it (enforced by a conformance test).
- Web app runs via `lyra-web` (uvicorn) on `0.0.0.0:7078`. DB path from `LYRA_DB_PATH` (default `data/lyra.db`, WAL).
- Test idiom: fixture sets `LYRA_DB_PATH` to a `tmp_path` file, stubs `llm.embed` (and `llm.complete` where needed), then `importlib.reload(memory)` **then** `importlib.reload(poker)` (order matters), then `importlib.reload(server)` for endpoint tests. Run with `.venv/bin/pytest` (or `uv run pytest`).
- Existing store facts to respect: `start_session(...)` uses `fmt=` (column is `format`); `add_buyin` returns a float total; `log_stack` returns the `stack_state` dict `{current, buy_in, net}`; `end_session(cash_out, ...)` takes `cash_out` first; `hud()` returns `None` when no session; `_HAND_FIELDS = ("position","hole_cards","board","preflop","flop","turn","river","showdown","pot","result","stack_after","tag","lesson")`; `upsert_player(name, **fields)` returns an int player id; `tools.dispatch(name, args, ctx)``ctx` is a plain dict.
---
### Task 1: Contract module + tool-spec conformance test
**Files:**
- Create: `lyra/poker_contract.py`
- Create: `tests/test_poker_contract.py`
**Interfaces:**
- Produces: `lyra.poker_contract.OPERATIONS: dict[str, dict]` and `CONTRACT_VERSION: int`. Each op value: `{"required": tuple[str,...], "llm_tool": str | None, "rest": tuple[str, str] | None}` where `rest` is `(METHOD, PATH)` with PATH exactly matching the FastAPI route template.
- [ ] **Step 1: Write the contract module**
`lyra/poker_contract.py`:
```python
from __future__ import annotations
# Single source of truth for poker logging operations. The REST API, Lyra's LLM
# tool specs, the human UI, and (later) an MCP wrapper all derive from this.
# `required` MUST match the `required` list in the matching tools.py spec.
# `rest` PATH MUST match the FastAPI route template verbatim.
CONTRACT_VERSION = 1
OPERATIONS: dict[str, dict] = {
"start_session": {"required": (), "llm_tool": "start_session", "rest": ("POST", "/session")},
"update_session": {"required": (), "llm_tool": "update_session", "rest": ("PATCH", "/session/{session_id}")},
"end_session": {"required": ("cash_out",), "llm_tool": "end_session", "rest": None},
"log_stack": {"required": ("amount",), "llm_tool": "log_stack", "rest": ("POST", "/session/stack")},
"add_buyin": {"required": ("amount",), "llm_tool": "add_buyin", "rest": ("POST", "/session/buyin")},
"log_hand": {"required": (), "llm_tool": "log_hand", "rest": ("POST", "/session/hand")},
"update_hand": {"required": ("id",), "llm_tool": None, "rest": ("PATCH", "/hand/{hand_id}")},
"add_read": {"required": ("note",), "llm_tool": "add_read", "rest": ("POST", "/session/read")},
"update_player": {"required": ("id",), "llm_tool": None, "rest": ("PATCH", "/player/{player_id}")},
}
```
- [ ] **Step 2: Write the failing conformance test**
`tests/test_poker_contract.py`:
```python
from __future__ import annotations
from lyra import tools
from lyra.poker_contract import OPERATIONS
def test_llm_tool_required_args_match_contract():
for op, decl in OPERATIONS.items():
name = decl["llm_tool"]
if not name:
continue
spec = tools.TOOLS[name]["spec"]
required = set(spec["function"]["parameters"]["required"])
assert required == set(decl["required"]), (
f"{op}: tools spec required {required} != contract {set(decl['required'])}"
)
```
- [ ] **Step 3: Run the test**
Run: `.venv/bin/pytest tests/test_poker_contract.py -v`
Expected: PASS (the contract's `required` tuples were copied from the live specs).
- [ ] **Step 4: Commit**
```bash
git add lyra/poker_contract.py tests/test_poker_contract.py
git commit -m "feat: poker operation contract + tool-spec conformance test"
```
---
### Task 2: Direct capture endpoints (stack / buy-in / start)
**Files:**
- Modify: `lyra/web/server.py` (add three routes inside `create_app`, near the existing `PATCH /session/{session_id}` at server.py:116)
- Create: `tests/test_poker_api.py`
**Interfaces:**
- Consumes: `poker.log_stack(amount, note=None)`, `poker.add_buyin(amount)`, `poker.start_session(venue=, stakes=, game=, fmt=, buy_in=, mantra=)`, `poker.live_session()`.
- Produces: `POST /session/stack``{ok, stack}` or `{ok:false, error}`; `POST /session/buyin``{ok, buy_in_total}`; `POST /session``{ok, id}`.
- [ ] **Step 1: Write the failing endpoint tests**
`tests/test_poker_api.py`:
```python
from __future__ import annotations
import importlib
import pytest
@pytest.fixture
def client(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
import lyra.web.server as server
importlib.reload(server)
from fastapi.testclient import TestClient
return TestClient(server.app), poker
def test_post_stack_logs_and_returns_state(client):
c, poker = client
poker.start_session(venue="Meadows", stakes="1/3", buy_in=400)
r = c.post("/session/stack", json={"amount": 373})
assert r.status_code == 200
body = r.json()
assert body["ok"] is True
assert body["stack"]["current"] == 373
assert body["stack"]["net"] == pytest.approx(-27)
def test_post_stack_without_session_errors(client):
c, _ = client
r = c.post("/session/stack", json={"amount": 373})
assert r.json()["ok"] is False
assert "error" in r.json()
def test_post_buyin_increments_total(client):
c, poker = client
poker.start_session(buy_in=400)
r = c.post("/session/buyin", json={"amount": 200})
assert r.json()["buy_in_total"] == pytest.approx(600)
def test_post_session_starts_live(client):
c, poker = client
r = c.post("/session", json={"venue": "Wheeling", "stakes": "1/3", "buy_in": 400})
sid = r.json()["id"]
assert poker.live_session()["id"] == sid
```
- [ ] **Step 2: Run to verify it fails**
Run: `.venv/bin/pytest tests/test_poker_api.py -v`
Expected: FAIL with 404s (routes not defined). If it errors with "No module named 'httpx'", run `.venv/bin/pip install httpx` (TestClient needs it).
- [ ] **Step 3: Add the three routes**
In `lyra/web/server.py`, immediately after the `PATCH /session/{session_id}` handler (server.py:122), add:
```python
@app.post("/session/stack")
async def session_log_stack(request: Request) -> dict:
"""Log Brian's current stack directly (no LLM). Server-stamps the time."""
body = await request.json()
try:
amount = float(body.get("amount"))
except (TypeError, ValueError):
return {"ok": False, "error": "amount must be a number"}
note = (body.get("note") or "").strip() or None
try:
state = await asyncio.to_thread(poker.log_stack, amount, note)
except ValueError as exc:
return {"ok": False, "error": str(exc)}
logbus.log("info", "stack logged (direct)", amount=amount)
return {"ok": True, "stack": state}
@app.post("/session/buyin")
async def session_add_buyin(request: Request) -> dict:
"""Add a buy-in/rebuy directly (no LLM)."""
body = await request.json()
try:
amount = float(body.get("amount"))
except (TypeError, ValueError):
return {"ok": False, "error": "amount must be a number"}
try:
total = await asyncio.to_thread(poker.add_buyin, amount)
except ValueError as exc:
return {"ok": False, "error": str(exc)}
logbus.log("info", "buyin added (direct)", amount=amount)
return {"ok": True, "buy_in_total": total}
@app.post("/session")
async def session_start(request: Request) -> dict:
"""Open a new live session directly (no LLM)."""
body = await request.json()
sid = await asyncio.to_thread(lambda: poker.start_session(
venue=body.get("venue"), stakes=body.get("stakes"),
game=body.get("game") or "NLH", fmt=body.get("format") or "cash",
buy_in=body.get("buy_in") or 0, mantra=body.get("mantra"),
))
logbus.log("info", "poker session started (direct)", id=sid)
return {"ok": True, "id": sid}
```
- [ ] **Step 4: Run to verify it passes**
Run: `.venv/bin/pytest tests/test_poker_api.py -v`
Expected: PASS (4 tests).
- [ ] **Step 5: Commit**
```bash
git add lyra/web/server.py tests/test_poker_api.py
git commit -m "feat: direct REST endpoints for stack/buyin/start-session (no LLM)"
```
---
### Task 3: Hands API (log / edit / delete)
**Files:**
- Modify: `lyra/poker.py` (add `update_hand` near `log_hand` at poker.py:558)
- Modify: `lyra/web/server.py` (add routes after the Task 2 routes)
- Modify: `tests/test_poker_api.py` (add tests)
**Interfaces:**
- Consumes: `poker.log_hand(**fields)`, `poker.get_hand(id)`, `poker.delete_entry("hand", id)`, `_HAND_FIELDS`.
- Produces: `poker.update_hand(hand_id, **fields) -> dict | None`; `POST /session/hand``{ok, id}`; `PATCH /hand/{hand_id}``{ok, hand}`; `DELETE /hand/{hand_id}``{ok}`.
- [ ] **Step 1: Write the failing tests**
Append to `tests/test_poker_api.py`:
```python
def test_post_hand_edit_and_delete(client):
c, poker = client
poker.start_session(buy_in=400)
r = c.post("/session/hand", json={"position": "BTN", "hole_cards": "22", "result": 120})
assert r.json()["ok"] is True
hid = r.json()["id"]
r2 = c.patch(f"/hand/{hid}", json={"hole_cards": "2c2d"})
assert r2.json()["ok"] is True
assert r2.json()["hand"]["hole_cards"] == "2c2d"
r3 = c.delete(f"/hand/{hid}")
assert r3.json()["ok"] is True
assert poker.get_hand(hid) is None
```
- [ ] **Step 2: Run to verify it fails**
Run: `.venv/bin/pytest tests/test_poker_api.py::test_post_hand_edit_and_delete -v`
Expected: FAIL (404 on `/session/hand`).
- [ ] **Step 3: Add `update_hand` to the store**
In `lyra/poker.py`, immediately after `log_hand` (poker.py:558), add:
```python
def update_hand(hand_id: int, **fields) -> dict | None:
"""Edit a logged hand's flat fields (fix a mislabeled board, result, villain).
Only known columns are touched. Returns the updated hand row or None."""
sets, vals = [], []
for k, v in fields.items():
if k in _HAND_FIELDS and v is not None:
sets.append(f"{k} = ?")
vals.append(v)
if sets:
conn = _c()
with conn:
conn.execute(f"UPDATE poker_hands SET {', '.join(sets)} WHERE id = ?",
(*vals, hand_id))
return get_hand(hand_id)
```
- [ ] **Step 4: Add the three routes**
In `lyra/web/server.py`, after the Task 2 routes, add:
```python
@app.post("/session/hand")
async def session_log_hand(request: Request) -> dict:
"""Log a hand directly with flat fields (no LLM parse)."""
body = await request.json()
try:
hid = await asyncio.to_thread(lambda: poker.log_hand(**body))
except ValueError as exc:
return {"ok": False, "error": str(exc)}
logbus.log("info", "hand logged (direct)", id=hid)
return {"ok": True, "id": hid}
@app.patch("/hand/{hand_id}")
async def hand_update(hand_id: int, request: Request) -> dict:
"""Edit a logged hand's flat fields."""
body = await request.json()
h = await asyncio.to_thread(lambda: poker.update_hand(hand_id, **body))
logbus.log("info", "hand edited", id=hand_id, fields=list(body))
return {"ok": h is not None, "hand": h}
@app.delete("/hand/{hand_id}")
async def hand_delete(hand_id: int) -> dict:
"""Delete a logged hand."""
ok = await asyncio.to_thread(poker.delete_entry, "hand", hand_id)
return {"ok": ok}
```
- [ ] **Step 5: Run to verify it passes**
Run: `.venv/bin/pytest tests/test_poker_api.py -v`
Expected: PASS (all tests, including the new hand test).
- [ ] **Step 6: Commit**
```bash
git add lyra/poker.py lyra/web/server.py tests/test_poker_api.py
git commit -m "feat: hands API — log_hand endpoint, update_hand store fn, edit/delete routes"
```
---
### Task 4: Reads/players API + route conformance
**Files:**
- Modify: `lyra/poker.py` (add `update_player` near `upsert_player`)
- Modify: `lyra/web/server.py` (add routes)
- Modify: `tests/test_poker_api.py` (add tests)
- Modify: `tests/test_poker_contract.py` (add route-coverage test)
**Interfaces:**
- Consumes: `poker.add_read(note=, name=, ...)`, `poker.upsert_player(name, **fields)`.
- Produces: `poker.update_player(player_id, **fields) -> dict | None`; `POST /session/read``{ok, id}`; `PATCH /player/{player_id}``{ok, player}`.
- [ ] **Step 1: Write the failing tests**
Append to `tests/test_poker_api.py`:
```python
def test_post_read(client):
c, poker = client
poker.start_session(buy_in=400)
r = c.post("/session/read", json={"note": "3-bets light", "name": "James K"})
assert r.json()["ok"] is True
assert isinstance(r.json()["id"], int)
def test_rename_player_fixes_mislabel(client):
c, poker = client
pid = poker.upsert_player("Dave the rock", category="reg")
r = c.patch(f"/player/{pid}", json={"name": "Dave the mechanic"})
assert r.json()["ok"] is True
assert r.json()["player"]["name"] == "Dave the mechanic"
```
Append to `tests/test_poker_contract.py`:
```python
def test_rest_routes_registered():
import lyra.web.server as server
registered = set()
for route in server.app.routes:
methods = getattr(route, "methods", None)
path = getattr(route, "path", None)
if not methods or not path:
continue
for m in methods:
registered.add((m, path))
for op, decl in OPERATIONS.items():
if not decl["rest"]:
continue
method, path = decl["rest"]
assert (method, path) in registered, f"{op}: {method} {path} not registered"
```
- [ ] **Step 2: Run to verify it fails**
Run: `.venv/bin/pytest tests/test_poker_api.py::test_rename_player_fixes_mislabel tests/test_poker_contract.py::test_rest_routes_registered -v`
Expected: FAIL (404 on `/player/...`; route-coverage missing several POST/PATCH paths).
- [ ] **Step 3: Add `update_player` to the store**
In `lyra/poker.py`, immediately after `upsert_player` (find it near poker.py:1010), add:
```python
_PLAYER_FIELDS = ("name", "venue", "description", "tendencies", "adjustment", "category")
def update_player(player_id: int, **fields) -> dict | None:
"""Edit a player's dossier (rename, fix tendencies/category). Returns the row or None."""
sets, vals = [], []
for k, v in fields.items():
if k in _PLAYER_FIELDS and v is not None:
sets.append(f"{k} = ?")
vals.append(v)
if sets:
conn = _c()
with conn:
conn.execute(f"UPDATE poker_players SET {', '.join(sets)} WHERE id = ?",
(*vals, player_id))
row = _c().execute("SELECT * FROM poker_players WHERE id = ?", (player_id,)).fetchone()
return dict(row) if row else None
```
- [ ] **Step 4: Add the two routes**
In `lyra/web/server.py`, after the Task 3 routes, add:
```python
@app.post("/session/read")
async def session_add_read(request: Request) -> dict:
"""Log a read directly (no LLM); upserts the villain file when name is given."""
body = await request.json()
rid = await asyncio.to_thread(lambda: poker.add_read(
note=body.get("note") or "", seat=body.get("seat"), name=body.get("name"),
tendencies=body.get("tendencies"), adjustment=body.get("adjustment"),
description=body.get("description"), category=body.get("category"),
venue=body.get("venue"),
))
return {"ok": True, "id": rid}
@app.patch("/player/{player_id}")
async def player_update(player_id: int, request: Request) -> dict:
"""Edit a player's dossier (rename, fix tendencies)."""
body = await request.json()
p = await asyncio.to_thread(lambda: poker.update_player(player_id, **body))
logbus.log("info", "player edited", id=player_id, fields=list(body))
return {"ok": p is not None, "player": p}
```
- [ ] **Step 5: Run to verify it passes**
Run: `.venv/bin/pytest tests/test_poker_api.py tests/test_poker_contract.py -v`
Expected: PASS (all API tests + both conformance tests).
- [ ] **Step 6: Run the full suite (no regressions)**
Run: `.venv/bin/pytest -q`
Expected: PASS (existing poker/tools/chat tests still green).
- [ ] **Step 7: Commit**
```bash
git add lyra/poker.py lyra/web/server.py tests/test_poker_api.py tests/test_poker_contract.py
git commit -m "feat: reads/players API + REST route conformance test"
```
---
### Task 5: Chat-page stack quick-capture (2nd input box)
**Files:**
- Modify: `lyra/web/static/index.html` (**CRLF + tabs** — add markup + JS)
- Modify: `lyra/web/static/style.css` (LF + spaces — add styling)
**Interfaces:**
- Consumes: `POST /session/stack` (Task 2). Reads `currentSession` and the Live Log DOM (`#thinkingContent`, `#thinkingEmpty`) already present in index.html.
- Produces: a stack-only input that logs without any chat/LLM call.
- [ ] **Step 1: Add the input row markup**
In `lyra/web/static/index.html`, insert **between** the `<div id="input">…</div>` block (ends ~index.html:125) and `<nav id="tabbar">` (index.html:128). **Use CRLF + tab indentation to match the file.**
```html
<!-- Stack quick-capture (no LLM): type a number -> logs current stack -->
<div id="stackQuick">
<input id="stackQuickInput" type="number" inputmode="decimal" placeholder="Stack $" aria-label="Log current stack">
<button id="stackQuickBtn" type="button" title="Log stack (no chat)">Log</button>
</div>
```
- [ ] **Step 2: Add the JS**
In the `<script>` of `index.html`, near `sendMessage` (index.html:299), add (CRLF + tabs):
```javascript
function liveLogLine(text) {
const content = document.getElementById("thinkingContent");
const empty = document.getElementById("thinkingEmpty");
if (empty) empty.style.display = "none";
const div = document.createElement("div");
div.className = "thinking-event";
div.textContent = text;
content.appendChild(div);
content.scrollTop = content.scrollHeight;
}
async function logStackQuick() {
const el = document.getElementById("stackQuickInput");
const raw = (el.value || "").replace(/[^0-9.]/g, "");
if (!raw) return;
const amount = Number(raw);
try {
const r = await fetch("/session/stack", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ amount })
});
const data = await r.json();
if (!data.ok) { liveLogLine("⚠ " + (data.error || "stack not logged")); return; }
const t = new Date().toLocaleTimeString([], { hour: "numeric", minute: "2-digit" });
const net = (data.stack && data.stack.net != null)
? ` (net ${data.stack.net >= 0 ? "+" : ""}${data.stack.net})` : "";
liveLogLine(`💰 $${amount} logged · ${t}${net}`);
el.value = "";
} catch (e) {
liveLogLine("⚠ stack log failed: " + e.message);
}
}
document.getElementById("stackQuickBtn").addEventListener("click", logStackQuick);
document.getElementById("stackQuickInput").addEventListener("keydown", (e) => {
if (e.key === "Enter") { e.preventDefault(); logStackQuick(); }
});
```
- [ ] **Step 3: Add styling**
In `lyra/web/static/style.css` (LF + spaces), add:
```css
#stackQuick {
display: flex;
gap: 8px;
align-items: center;
padding: 6px 12px;
border-top: 1px solid var(--border, #222);
}
#stackQuick input {
flex: 1;
min-width: 0;
padding: 8px 10px;
background: var(--panel, #111);
color: inherit;
border: 1px solid var(--border, #333);
border-radius: 8px;
}
#stackQuick button {
padding: 8px 14px;
background: var(--accent, #ff7a18);
color: #000;
border: none;
border-radius: 8px;
font-weight: 600;
}
```
- [ ] **Step 4: Verify manually**
Start the app: `.venv/bin/python -m lyra.web.server` (serves on :7078). With a live session (start one via the HUD or `curl -XPOST localhost:7078/session -d '{"buy_in":400}' -H 'Content-Type: application/json'`):
- The stack box appears below the message input, above the nav icons.
- Type `350`, press Enter → a `💰 $350 logged · …` line appears in the Live Log, the box clears, and **no chat bubble is added**.
- Confirm persisted: `curl -s localhost:7078/session/data | python -m json.tool` shows `stack.current == 350`.
- [ ] **Step 5: Commit**
```bash
git add lyra/web/static/index.html lyra/web/static/style.css
git commit -m "feat: stack quick-capture box on chat page (no LLM)"
```
---
### Task 6: HUD quick-capture + correction controls
**Files:**
- Modify: `lyra/web/static/session.html` (LF + spaces — Stack card markup, villain rename control, JS functions)
**Interfaces:**
- Consumes: `POST /session/stack`, `POST /session/buyin` (Task 2), `PATCH /session/{id}` (existing), `PATCH /player/{id}` (Task 4). Reads existing globals `curSession`, `refresh()`, and the villain render block.
- [ ] **Step 1: Add quick inputs to the Stack card**
In `lyra/web/static/session.html`, replace the Stack card block (session.html:280-289) with the same block plus a `quick` row before its closing `</div>`:
```javascript
<div class="card">
<p class="label">Stack</p>
<div class="stack-row">
<span class="stack-now">${stack.current == null ? '—' : money(stack.current)}</span>
<span class="net ${netClass(stack.net)}">${stack.net == null ? '' : signed(stack.net)}</span>
<span class="stack-meta">bought in ${money(stack.buy_in)}<br>${(stack.log||[]).length} update(s)</span>
</div>
${sparkline(stack.log || [])}
<div class="quick">
<input id="qStack" type="number" inputmode="decimal" placeholder="Stack $" onkeydown="if(event.key==='Enter')postStack()">
<button onclick="postStack()">Log stack</button>
<input id="qBuyin" type="number" inputmode="decimal" placeholder="Buy-in $" onkeydown="if(event.key==='Enter')postBuyin()">
<button onclick="postBuyin()">Add buy-in</button>
<input id="qCashout" type="number" inputmode="decimal" placeholder="Cash out $" onkeydown="if(event.key==='Enter')postCashout()">
<button onclick="postCashout()">Cash out</button>
</div>
</div>
```
- [ ] **Step 2: Add the quick-capture + rename JS functions**
In the `<script>` of `session.html`, near `saveEdit()` (session.html:192), add:
```javascript
async function postQuick(url, amount, body){
const r = await fetch(url, { method: 'POST', headers: {'Content-Type':'application/json'},
body: JSON.stringify(body || { amount }) });
const d = await r.json();
if(!d.ok){ alert(d.error || 'failed'); return false; }
refresh(); return true;
}
function numVal(id){ const el = document.getElementById(id); return Number((el.value||'').replace(/[^0-9.]/g,'')); }
async function postStack(){ const v = numVal('qStack'); if(v) { if(await postQuick('/session/stack', v)) document.getElementById('qStack').value=''; } }
async function postBuyin(){ const v = numVal('qBuyin'); if(v) { if(await postQuick('/session/buyin', v)) document.getElementById('qBuyin').value=''; } }
async function postCashout(){
if(!curSession) return;
const v = numVal('qCashout'); if(!v) return;
const r = await fetch('/session/'+curSession.id, { method:'PATCH', headers:{'Content-Type':'application/json'},
body: JSON.stringify({ cash_out: v }) });
if(!(await r.json()).ok){ alert('failed'); return; }
document.getElementById('qCashout').value=''; refresh();
}
async function renamePlayer(id, current){
const name = prompt('Rename player', current || ''); if(!name) return;
const r = await fetch('/player/'+id, { method:'PATCH', headers:{'Content-Type':'application/json'},
body: JSON.stringify({ name }) });
if(!(await r.json()).ok){ alert('failed'); return; }
refresh();
}
```
- [ ] **Step 3: Add the rename control to the villains list**
In `session.html`, find the villains render block in `render(data)` (it maps over `data.villains` / the `villains` array). For each villain item, add a rename affordance next to the name, using the player id field present on the villain row (commonly `v.id` or `v.player_id` — use whichever the bundle provides):
```javascript
<button class="mini" title="Rename / fix" onclick="renamePlayer(${v.id}, '${esc(v.name||'')}')"></button>
```
Read the existing villain block first to splice this in cleanly and confirm the id field name.
- [ ] **Step 4: Add minimal styling**
In the inline `<style>` of `session.html`, add:
```css
.quick { display:flex; flex-wrap:wrap; gap:6px; margin-top:12px; }
.quick input { width:96px; padding:7px 9px; background:#111; color:inherit; border:1px solid #333; border-radius:8px; }
.quick button { padding:7px 11px; background:var(--accent,#ff7a18); color:#000; border:none; border-radius:8px; font-weight:600; }
button.mini { background:transparent; border:none; color:#888; cursor:pointer; padding:0 4px; }
```
- [ ] **Step 5: Verify manually**
With the app running and a live session, open `/session`:
- Log a stack via `qStack` → sparkline + net update without a chat call.
- Add a buy-in via `qBuyin` → "bought in" total rises.
- Enter a cash-out via `qCashout` → session net updates.
- Click ✎ on a villain, rename it → name changes after refresh. Confirm via `curl -s localhost:7078/session/data`.
- [ ] **Step 6: Commit**
```bash
git add lyra/web/static/session.html
git commit -m "feat: HUD quick-capture (stack/buyin/cashout) + villain rename"
```
---
### Task 7: iOS-PWA bottom safe-area gap fix
**Files:**
- Modify: `lyra/web/static/style.css` (bottom nav / container safe-area)
**Interfaces:** none (visual fix). The empty band below the nav icons is the home-indicator inset not being consumed by `#tabbar`.
- [ ] **Step 1: Load the iOS-PWA skill**
Invoke the `building-ios-pwas` skill and follow its guidance for safe-area / `100dvh` handling before editing. The current `#tabbar` (style.css:921-952) applies `env(safe-area-inset-left/right)` and `padding-bottom: 6px`, but does **not** add `env(safe-area-inset-bottom)` — the likely cause.
- [ ] **Step 2: Apply the safe-area fix**
In `lyra/web/static/style.css`, in the mobile `#tabbar` rule (style.css:921-929), change the bottom padding to consume the inset, and ensure the bar is pinned:
```css
#tabbar {
/* …existing flex/border rules… */
position: fixed;
left: 0;
right: 0;
bottom: 0;
padding-bottom: calc(6px + env(safe-area-inset-bottom));
}
```
And ensure the chat scroll container reserves space for the bar so content isn't hidden behind it (match the container selector used at style.css:836-852):
```css
@media (max-width: 768px) {
#messages {
padding-bottom: calc(64px + env(safe-area-inset-bottom));
}
}
```
- [ ] **Step 3: Verify on device**
Open the PWA (Add to Home Screen) on iPhone:
- The empty band below the icons is gone; the nav sits flush above the home indicator.
- The stack quick-capture box (Task 5) sits directly above the nav.
- Open the keyboard: `body.kb` still hides the tabbar (style.css:952) and the input pins to the keyboard — confirm no regression.
- If the gap persists or content clips, follow the `building-ios-pwas` skill's `100dvh`/`visualViewport` guidance and iterate.
- [ ] **Step 4: Commit**
```bash
git add lyra/web/static/style.css
git commit -m "fix: consume iOS home-indicator safe-area inset under bottom nav"
```
---
## Self-Review
**Spec coverage:**
- Complete API surface (create/update/delete per entity) → Tasks 2 (stack/buyin/start), 3 (hands), 4 (reads/players); existing PATCH/DELETE session + entry routes retained.
- Single documented/versioned tool-API contract → Task 1 (`poker_contract.py`, `CONTRACT_VERSION`) + conformance tests (Tasks 1, 4).
- Human UI to log + edit/correct → Tasks 5 (chat 2nd box), 6 (HUD quick inputs + villain rename + existing edit form/delete).
- Pure capture never touches LLM → all capture goes through REST endpoints (Tasks 26); verified in manual steps (no chat bubble).
- 2nd input box + PWA fix → Tasks 5, 7.
- Non-goals respected: no classifier/prompts, no MI50 tool enablement, no MCP, buy-in stays scalar (`add_buyin` increments `buy_in_total`).
**Placeholder scan:** All code steps contain complete code. The one "locate the block" instruction (Task 6 Step 3, villain rename) provides the exact button snippet and names the id-field ambiguity to resolve by reading the file — not a placeholder, a grounded splice.
**Type consistency:** `poker_contract.OPERATIONS` shape is consistent across Tasks 1 and 4; REST paths in the contract (`/session/stack`, `/session/buyin`, `/session`, `/session/hand`, `/hand/{hand_id}`, `/session/read`, `/player/{player_id}`, `/session/{session_id}`) match the routes added in Tasks 24 exactly; `update_hand`/`update_player` signatures match their callers; response shapes (`{ok, stack}`, `{ok, buy_in_total}`, `{ok, id}`, `{ok, hand}`, `{ok, player}`) are used consistently in tests and routes.
**Open implementation note:** Task 6 Step 3 requires reading `session.html`'s villain render to confirm the player id field name (`v.id` vs `v.player_id`) before splicing the rename button.
@@ -0,0 +1,158 @@
# Poker logging service + message-type prompts
- **Date:** 2026-06-28
- **Status:** Sub-project 1 spec ready for review; sub-project 2 parked.
- **Branch:** `feat/poker-mode-prompts`
## Origin
This started as "make Lyra's poker replies less generic" (message-type-specific prompts). During design we decided to **build the logging tool first** as a standalone system of record with a clean API and a human-usable UI, then wire Lyra in as a *client* of it. Rationale:
- Brian can log and **correct** data himself, independent of whether Lyra parsed it right (she mislabeled "Dave the rock" vs "Dave the mechanic" mid-session).
- The data stops being hostage to the agent. Lyra becomes one client among potentially several.
- It's reusable: RTO (the solver) and a **fine-tuned poker model on the MI50** could consume the same hand/session data through the same contract.
## Decomposition
Two sub-projects, built and shipped in order.
### Sub-project 1 — Poker logging service *(this spec)*
Harden `lyra/poker.py` into a well-bounded store, expose a **complete REST API** over it, define a **stable, documented tool/API contract**, and build the human UI to log/edit/correct everything. Fully usable by Brian alone, zero LLM dependency.
### Sub-project 2 — Lyra wiring *(parked; summarized at the end)*
Message-type classifier + type-specific prompt fragments; Lyra's tools call the sub-project 1 service. Separately, enabling tool-calling on the MI50 backend so a fine-tuned poker model can drive the same contract.
**Why the contract is first-class:** in every design (in-process, REST, MCP) the *model* never calls the API directly — it emits a tool-call and the host app executes it. So what lets the cloud model, the MI50 fine-tune, RTO, and a human UI all interoperate is a single **stable tool/API schema** (operation names + JSON arg schemas). That contract is the training target for the fine-tune and the seam for every backend. MCP is deferred: it's a thin wrap over the same service, worth adding only when a *second host application* appears.
---
# Sub-project 1 — Poker logging service
## Goals
1. A complete API surface over the poker data model — create/read/update/delete for every entity, not just the few edit/delete endpoints exposed today.
2. A single **documented, versioned tool/API contract** that the REST API, Lyra's LLM tools, the human UI, a future MCP wrapper, and the MI50 fine-tune all share.
3. A human UI to **log** (fast capture) and **edit/correct** (fix Lyra's mistakes) every entity.
4. The 2nd input box (stack quick-capture) and the iOS-PWA bottom safe-area fix.
5. Pure data capture never touches the LLM.
## Non-goals
- Lyra's classifier / prompt fragments (sub-project 2).
- Enabling tools on the MI50 backend (sub-project 2).
- MCP wrapper (deferred until a second host app exists).
- Itemized buy-in history — buy-ins stay a single `buy_in_total` scalar.
- Rewriting the SQLite schema; we build on the existing tables.
## Current state (what exists)
- **Store & logic:** `lyra/poker.py` — schema at `poker.py:21` (tables `poker_sessions`, `poker_hands`, `poker_stack_log`, `poker_rituals`, `poker_players`, `player_reads`, `player_observations`). Functions: `start_session` (157), `add_buyin` (389), `log_stack` (407), `stack_state` (446), `update_session` (362), `end_session` (515), `log_hand` (541, flat/no-LLM), `record_hand` (770, LLM-parses shorthand), `add_read` (1010), `hud` (1245).
- **Exposed endpoints (`lyra/web/server.py`):** `GET /session/data` (hud), `PATCH /session/{id}`, `DELETE /session/entry/{kind}/{id}`, `GET/DELETE /history`, `GET /hand/{id}/data`, `POST /hand/{id}/reconstruct`, `GET /hands/data`, `GET /recap/...`. **No** direct create endpoint for stack/buyin/hand/read/session — those are reachable only through chat → tool-calling.
- **UI:** `index.html` (chat), `session.html` (live HUD: stack card + sparkline + a PATCH-based edit form via `saveEdit()` at `session.html:192`, and `del(kind,id)` at `211`), `history.html`, `hand.html`.
- **Tool specs:** `lyra/tools.py` already defines arg schemas for each operation (`_f(...)` specs, `tools.py:469-658`) — the embryo of the contract.
## Design
### 1. Store layer — harden `poker.py`
Keep the existing functions and tables; tighten the module into a clean service boundary so both the REST layer and Lyra's tools call the *same* functions. Each operation: validates input, resolves the target session (`_resolve`), writes, returns a consistent dict. No behavior change to existing callers; this is consolidation, not a rewrite.
### 2. The tool/API contract *(first-class deliverable)*
A single source-of-truth document + schema defining every operation: name, purpose, JSON arg schema, return shape, and which REST route + which LLM tool map to it. Versioned (e.g. `contract_version: 1`). Lives at `docs/POKER_API.md` (or a machine-readable `poker_contract.py` that both the REST routes and `tools.py` specs derive from — preferred, so they can't drift).
Operations (the canonical set):
| Operation | Args | Entity |
|---|---|---|
| `start_session` | venue, stakes, game, format, buy_in, mantra | session |
| `update_session` | venue, stakes, game, format, buy_in_total, cash_out, mantra, mood | session |
| `end_session` | cash_out, mood | session |
| `delete_session` | id | session |
| `log_stack` | amount, note | stack entry |
| `delete_stack` | id | stack entry |
| `add_buyin` | amount | session (increments buy_in_total) |
| `log_hand` | position, hole_cards, board, streets…, pot, result, tag, lesson | hand |
| `record_hand` | shorthand (LLM-parsed) | hand |
| `update_hand` | id, any hand field | hand |
| `delete_hand` | id | hand |
| `add_read` | note, name, seat, tendencies, adjustment, category, venue | player/read |
| `update_read` / `update_player` | id, fields | player/read |
| `delete_read` | id | player/read |
| rituals: `scar_note`, `confidence_bank`, `alligator_blood`, `reset_ritual` | … | ritual |
### 3. REST API — complete the surface (`lyra/web/server.py`)
Add the missing **create/update** routes so the human UI (and any non-LLM client) can do everything:
- `POST /session/stack``log_stack(amount, note?)`; server-stamped time; returns `stack_state()`.
- `POST /session/buyin``add_buyin(amount)`; returns `buy_in_total`.
- `POST /session``start_session(...)`.
- `POST /session/hand``log_hand(...)` (flat) and/or `record_hand(shorthand)`.
- `PATCH /hand/{id}``update_hand(...)`; `DELETE /hand/{id}`.
- `POST /session/read``add_read(...)`; `PATCH /read/{id}`; `DELETE` via existing entry-delete.
- Keep existing `PATCH /session/{id}`, `DELETE /session/entry/{kind}/{id}`, `GET /session/data`.
All return `{ok, ...}` and a clear error on "no live session." Routes are thin wrappers over the store, mirroring the contract one-to-one.
### 4. Human UI — log + edit/correct
**Fast capture:**
- **2nd input box** (`index.html`): slim row **below the message input, above the bottom nav icons**. Type a number → `POST /session/stack` → time-stamped, sparkline updates, a one-line confirmation drops into the **Live Log**. **No chat message, no LLM call.** Stack-only in v1. Tolerates `$685`/`685`.
- **HUD widget** (`session.html`, in the Stack card at `:280`, mirroring `saveEdit()` at `:192`): stack field (`POST /session/stack`), buy-in field (`POST /session/buyin`), cash-out field (existing PATCH).
**Edit / correct (fix Lyra's mistakes):**
- Edit any session field (exists via the PATCH edit form — verify coverage).
- Hands list with edit + delete (`hand.html` + new PATCH/DELETE) — fix mislabeled villains, wrong board, wrong result.
- Reads/players list with edit + delete — rename "Dave the rock" ≠ "Dave the mechanic", fix tendencies.
- Stack entries deletable (exists via `del('stack', id)`) — verify.
### 5. iOS-PWA bottom safe-area fix
The empty band below the nav icons is a safe-area issue (likely `100vh` not accounting for `env(safe-area-inset-bottom)` / the home indicator). Fix the layout container + bottom nav CSS so the app fills the viewport with the icons seated above the home indicator. Use the `building-ios-pwas` skill at implementation time.
## Testing / verification
- **Contract conformance:** a test asserting each REST route and each `tools.py` spec matches the canonical contract (names, required args) — catches drift between the human API and the LLM API.
- **Endpoint round-trips:** create → read → update → delete for stack, buyin, hand, read against a test session; assert rows written, time stamped, `stack_state()`/`hud()` reflect changes; assert clean error with no live session.
- **UI manual pass:** log a stack via the 2nd box and confirm it lands in Live Log + sparkline without a chat reply; edit a hand's villain and confirm persistence; delete a bad read.
- **PWA:** on the iOS PWA, confirm the bottom gap is gone and the 2nd input box sits above the nav with the keyboard open.
---
# Sub-project 2 — Lyra wiring *(parked)*
Detail preserved here; gets its own spec → plan after sub-project 1 is MVP'd.
## Why it exists (diagnosis from real sessions)
Evidence from `sess-dff2s91c` (2026-06-27 Meadows, 2026-06-28 Wheeling):
- **Coaching essay on every turn, including pure data** — `Stack=$685` drew 46 sentences of "keep that momentum rolling." (Sub-project 1's dumb capture removes these from the LLM entirely.)
- **False tilt/fatigue reads** — "table broke, it's 11:50pm" → repeated "late-night fatigue… mental reset"; Brian: *"you seem to be reading me as tilted."* Cause: the `_route` mood nudge (`mind.py:328`) firing on non-mood messages.
- **No bet-intent reasoning** — a value bet ($40, full house) that folded out 88 was praised as "the power of representing something stronger." It was value *lost*, not a successful rep.
- **Eyeballs instead of `analyze_spot`** — 77 multiway got "a disciplined fold might have been better," no math, violating the persona's "never eyeball poker math" rule.
- **Even her sharp reads leak bad logic** — the Connie read included "limp-checking in position" (contradictory).
Root cause: one broad per-turn card (`_CASH_CARD`, `modes.py:66`) describes traits; the model satisfies trait language with safe abstraction.
## Planned approach
- **Classifier** (`lyra/poker_classify.py`): `classify(message) -> HAND | STATUS | MENTAL | LOG | CHAT`. Heuristic v1 (card-token regex, position/street keywords, feeling phrases, time/venue), swappable for an LLM/MI50 classifier behind the same signature. Ambiguous → CHAT.
- **Pipeline:** a `_classify` step in `mind.PIPELINE` sets `ctx.msg_type` (poker mode only); `build_messages` injects the **type fragment** in the seat now held by `mode.card` (`mind.py:152`) instead of the whole `_CASH_CARD`.
- **Fragments** (`lyra/poker_prompts.py`, `POKER_FRAGMENTS`): concrete rules + response shape per type.
- **HAND:** log it → `analyze_spot` if close → reason about **bet intent** (value/bluff/protection — did it work? a fold to a value bet = value lost, flag it) → name leaks (value-owning, missed value, sizing) → one opinion. No reflexive praise. Pull `player_profile` before referencing a villain. Seeded with 2 real-hand exemplars (the $40 value bet; the 77 spot).
- **STATUS:** 12 sentences, no coaching, no tilt-reading.
- **MENTAL:** full presence (already works — preserve).
- **LOG:** one line.
- **CHAT:** full voice, real opinion.
- **Pipeline fixes:** kill the misfiring `_route` mood nudge (`mind.py:328`); trim the always-on mode-menu note (`mind.py:77`) in poker mode.
- **MI50 tool-calling:** enable tools on the MI50 backend (`chat.py` `TOOL_BACKENDS = {"cloud"}` at `:21`) so a fine-tuned, tool-calling poker model can drive the contract. Requires the fine-tune to emit the contract's tool-call format.
## HAND exemplars (preserved for sub-project 2)
> *Brian:* "Flopped bottom set with 22, turned a full house, bet $40 on the river, he folded 88."
> *Lyra:* "That's a value bet that got no value — 88 was never folding to a smaller stab. $40 into that pot was too much; ~$2025 gets called by the over-pair and worse two-pairs. The hand's a monster, the leak is the sizing."
> *Brian:* "77 multiway, flop 4h5c3c, HJ bets 75, BTN shoves 74, I call. Turn/river check through, HJ wins with 64."
> *Lyra:* "Against a bet and a shove on 4-5-3 you're drawing thin — sets, two pair, and the made wheel are all ahead, and you block almost none of it. The stack-depth read (he only had ~150 behind) is real, but that's a reason to fold and wait, not to call off light. This is the value-owning spot you flagged yourself."
@@ -0,0 +1,199 @@
# Poker message-type prompts (sub-project 2)
- **Date:** 2026-07-01 (**readjusted 2026-07-04** — see below)
- **Status:** Spec — **needs rework before build** (foundations shifted; nothing here built yet)
- **Branch:** `feat/poker-mode-prompts` (continues on the same branch; sub-project 1 shipped there)
- **Supersedes:** the parked "sub-project 2" section of `docs/superpowers/specs/2026-06-28-poker-mode-prompts-design.md`
---
## ⚠ Readjustment — 2026-07-04 (read this first)
A long live-session build on `feat/poker-mode-prompts` (the "scouting desk" +
roster work — see `docs/SCOUTING_DESK.md` and commits after `3afa75f`) landed
**after** this spec was written and changes its foundations. Nothing in Phases
A/B/C is built yet, but the plan below must absorb these deltas before it's coded.
The core idea — *classify the turn, inject a small per-type contract instead of one
giant card* — is now **more** justified (the card nearly doubled). But:
1. **The real failure mode shifted from mush to MISSED TOOL CALLS.** Live, the
pain wasn't flattering essays — it was reads/TAGs not getting logged, and
"clear the table" claimed-but-not-done. So every action-type fragment (LOG,
READ, TABLE, HAND) needs a hard *"call the tool FIRST, every time, then one
short line"* contract. This raises the stakes on Phase B and validates the
whole dynamic approach (a targeted directive beats a 100-line card).
2. **The taxonomy is missing two types that dominated the session:**
- **READ** (a *villain's* action): "TAG limped A4o in the SB", "Jonathan
called the 3bet". Under the current classifier rules these misfire as **HAND**
(card tokens + position + a betting verb) and get logged as *Brian's* hand.
They must route to **`add_read`** on the named player/handle/descriptor — NOT
`record_hand`. New priority rule, ABOVE HAND: if the actor is another player
(a handle/name/descriptor is the subject, not "I/me/my"), it's a READ.
Handles are often initials/all-caps (e.g. **TAG** is a *person*, not the
tight-aggressive style).
- **TABLE** (roster ops): "seat the table: TAG, Jonathan…", "table broke",
"I got moved", "TAG left". These now have real tool actions
(**`seat_players` / `clear_table` / `unseat_player`**), not just "acknowledge
and stop." Split these out of STATUS (STATUS stays for pure logistics with no
roster action).
3. **HAND now has a hero-vs-observed distinction.** The parser gained
`hero_involved`; a hand Brian *watched* between others is logged with null hero
fields (not pinned to him). The HAND fragment must tell her: if he was in it →
`record_hand` as hero + analysis; if he only watched → it's really READ(s) on
the players, or an observed hand — never analyze it as his.
4. **A new live per-turn injection layer already exists: the scouting desk**
(`lyra/scouting.py`, injected in `build_messages` at the poker-mode gate,
~`mind.py:177`). It dynamically adds a `SCOUTING DESK` note (named/descriptor
villain recall + leak/pattern recall) every poker turn, fail-safe. **The
classifier/fragment injection must compose with it, not duplicate it:** the
desk supplies *who this villain is / past leaks*; the fragments supply *response
shape + which tool to call*. Both are system-note appends in the same block.
5. **BASE must cover the expanded toolset + identity rules.** Beyond the original
tools, BASE now routes: `seat_players`/`unseat_player`/`clear_table` (roster),
`add_read` with **`name` OR `descriptor`** (nameless villains), `name_villain`
and `link_villains` (confirm-loop). Plus the hard rules learned live: `name` =
real handle ONLY (a description in `name` spawns duplicates — put the look in
`descriptor`); confirm before merging; never claim a tool ran without calling it.
6. **Source material grew (good news).** `_CASH_CARD` is now `modes.py:67-169`
(was 66-116) and much of the new text — roster, TAG/read routing, PLAYERS,
session-narration `note` rules — is already the *concrete, tool-routing
contract* this spec wanted, not traits. Better raw material to distill into
BASE + fragments than the original vague card.
7. **Phase A is still unbuilt and still valid.** `_mode_menu_note` is still
appended every turn (`mind.py:162`); the `_route` mood nudge still fires. The
scouting-desk work already established the `mode.key == "poker_cash"` gate to
reuse. (Note: revalidate all `mind.py` line numbers below — they've drifted.)
**Net:** taxonomy becomes **HAND / READ / TABLE / STATUS / MENTAL / LOG / CHAT**;
fragments lead with a hard tool-call contract; injection sits alongside the
scouting desk; BASE lists the full current toolset. The rest of the plan stands.
The classifier/dynamic-prompting build is being explored in a separate session —
this doc is its poker-side source of truth.
---
## Problem (recap)
In poker mode Lyra routes correctly but her replies are generic — one broad `_CASH_CARD` (`lyra/modes.py:66-116`) describes *traits* and gets injected on every turn, so the model satisfies it with safe, flattering abstraction. From real sessions: coaching essays on bare stack updates, false tilt/fatigue reads on neutral logistics ("table broke, it's 11:50pm" → "late-night fatigue…"), praising a value bet that got *no* value, and hedging ("a disciplined fold might have been better") instead of calling `analyze_spot`.
The fix: stop sending one card for every message. Detect *what kind of message* Brian just sent and inject a small, concrete response contract for that type.
## Goals
1. A per-turn **message-type classifier** for poker mode, and **per-type prompt fragments** replacing the monolithic card.
2. Kill the two pipeline sources of mush in poker mode: the misfiring mood nudge and the always-on mode-menu note.
3. Make HAND turns reason about **bet intent** and lean on `analyze_spot` (NLH only).
4. Keep the door open for a fine-tuned MI50 classifier/model behind the same seams.
## Non-goals
- PLO/Omaha strategic analysis. `record_hand` already parses 4-card hands and the replayer renders them; only `analyze_spot` (equity) is NLH-bound. **This pass: PLO hands are logged/replayed but get no NLH-style analysis.**
- A PLO equity engine.
- Changing the store, the REST API, or the tools (sub-project 1, done).
- An LLM classifier in v1 (heuristic first; the function is the swappable seam).
## Build order (confirmed)
**Phase A — pipeline fixes** (quick win) → **Phase B — classifier + fragments** (the meat) → **Phase C — MI50 tool-calling** (separable).
---
## Phase A — Pipeline fixes
Both are independent of the classifier and immediately reduce mush in poker mode.
1. **Suppress the mode-menu note in poker mode.** `_mode_menu_note` (`mind.py:77-88`) is injected every turn (`mind.py:158`). At the table she should not be offering to switch modes. In `build_messages`, skip that append when `mode.key == "poker_cash"`.
2. **Suppress the `_route` mood nudge in poker mode.** `_route` (`mind.py:320-339`) sets `ctx.register` + a "steady/hype" note from a lexicon heuristic; in poker this double-signals with the card and caused the false tilt reads. In `_route`, when `mode.key == "poker_cash"`, resolve the mode as normal (line 324 stays) but **skip the register/note block** (327-338). Poker register comes from the Phase B fragments (esp. MENTAL) instead. Non-poker modes keep the nudge unchanged.
## Phase B — Classifier + per-type fragments
### New module `lyra/poker_prompts.py`
Cohesive home for poker prompting: the classifier, a lean always-on base, and the per-type fragments.
```
classify(user_msg: str) -> str # "READ"|"HAND"|"TABLE"|"MENTAL"|"STATUS"|"LOG"|"CHAT"
BASE: str # always-on poker rules (logging, tools, session_state, rituals, equity)
FRAGMENTS: dict[str, str] # msg_type -> response-shape contract
fragment_for(msg_type: str | None) -> str # FRAGMENTS.get(msg_type, FRAGMENTS["CHAT"])
```
`classify` is a **pure function** (no DB), unit-tested like `perceive.read`. Heuristic signals, first match wins in priority order (**updated 2026-07-04** — READ + TABLE added):
1. **READ***another player* did something. A handle/name/descriptor is the actor (not "I/me/my") followed by a poker action: "TAG limped A4o", "Jonathan called the 3bet", "the neck-tattoo guy shoved". Route → `add_read(name|descriptor, note)`. **Must beat HAND** — these carry card/position/verb tokens but are NOT Brian's hand. Signal: a leading proper-noun/handle/ALL-CAPS token or a descriptor phrase as the subject, with no first-person holding. (Hard case: disambiguating a bare "limped A4o" with no clear subject — default to HAND if he's the implied actor, READ if a named player is.)
2. **HAND***Brian's* hand: first-person + card tokens (`\b[2-9TJQKA][shdc]\b`, ≥2) / position tokens (UTG/MP/HJ/CO/BTN/SB/BB/button/hijack/straddle) / a street word (flop/turn/river) with a betting verb. The fragment handles hero-vs-observed (`hero_involved`): if he only watched, treat as READ(s)/observed, don't analyze as his.
3. **TABLE** — roster ops with a tool action: "seat the table: …", "table broke", "they broke us", "I got moved", "switched tables", "TAG left/busted", "new guy in seat 3". Route → `seat_players` / `clear_table` / `unseat_player`. (Was folded into STATUS; now distinct because it *does* something.)
4. **MENTAL** — first-person feeling: "I feel", "I'm tilted/steaming/fried/tired/frustrated/confident/stuck/bored", "on tilt", "in my head", "mental", "leak".
5. **STATUS** — pure logistics, no roster action, no cards: clock times, "waiting for a seat", "heading to"/venue mentions, bathroom/break. (Table changes moved to TABLE.)
6. **LOG** — bare money/result prose that slipped past the quick-capture box: "I'm at", "stack is", "down to", "up to", "out for", "cashed", "rebought", "rebuy" with a number.
7. **CHAT** — default fallback (questions, open talk).
(READ beats HAND so a villain's action lands on their file, not Brian's. HAND beats MENTAL so a described hand still gets logged even if he's venting; the HAND fragment acknowledges the feeling too.)
### Injection (`mind.py`)
- Add `msg_type: str | None = None` to `TurnContext` (`mind.py:305`).
- In `_route`, when `mode.key == "poker_cash"`, set `ctx.msg_type = poker_prompts.classify(ctx.user_msg)`.
- Thread it through `_compose` → add a `msg_type` param to `build_messages` (`mind.py:137`, `344`).
- Replace the card-injection block (`mind.py:152-154`) with:
```python
if mode and mode.key == "poker_cash":
messages.append({"role": "system", "content": poker_prompts.BASE})
messages.append({"role": "system", "content": poker_prompts.fragment_for(msg_type)})
elif mode and mode.card:
messages.append({"role": "system", "content": mode.card})
```
- Set `CASH.card = ""` in `modes.py` (content moves to `poker_prompts`; keep `_CASH_CARD` text as the source material to distill from, then delete once fragments are in). `CASH.tools` is unchanged.
### The fragments (concrete contracts, not traits)
**BASE** (always-on in poker) — distilled from the card's cross-cutting rules. Log any trackable fact FIRST then reply, and **never claim a tool ran without calling it**. Tool routing (full current set as of 2026-07-04): his stack→`log_stack`; his hand→`record_hand`; a *villain's* action→`add_read` (with `name` for a real handle, or `descriptor` for a nameless player — a physical description in `name` spawns duplicates); rebuy→`add_buyin`; who's-at-the-table→`seat_players`/`unseat_player`/`clear_table`; attaching a caught name to a described player→`name_villain`; confirmed same/different person→`link_villains` (never merge on a guess). For any equity/who's-ahead question call `analyze_spot`, never eyeball. When he asks where he's at (stack/net/gator), call `session_state` and answer from it. Rituals (`scar_note`/`confidence_bank`/`alligator_blood`/`reset_ritual`) — run them in his language, honest punt-vs-cooler line, never invent one. (A `SCOUTING DESK` note may already be in context with a player's history — cite it, don't re-fetch or invent.)
**READ** *(new 2026-07-04)* — a villain did something and he wants it on their file. Call `add_read(name|descriptor, note)` FIRST, before replying — every time; this is the job that was silently getting skipped. A handle (often initials/ALL-CAPS like TAG) is a PERSON, not a play-style. If the player is on the roster, attach by that handle; if unnamed, use `descriptor`. Confirm in one short line ("Noted on TAG — limped A4o SB."). Optional: one crisp read if it's exploitable, but the log is mandatory, the commentary is not.
**TABLE** *(new 2026-07-04)* — roster management. "seat the table: …" → `seat_players`; a table change ("table broke", "I got moved", "switched tables") → `clear_table` then wait for the new roster; someone leaves/busts → `unseat_player`. Do the tool call, confirm one line, don't narrate. The session/stack keep going through a table change — only who's seated resets.
**HAND** — Log it (`record_hand`). Then **if it's NLH**: reason about **bet intent** — for each meaningful bet name what it was for (value / bluff / protection) and whether it worked (*a fold to a value bet = value left behind — flag it; a call of a bluff = it failed*); call `analyze_spot` for a close equity/who's-ahead spot; name leaks plainly (value-owning, missed value, sizing); give ONE real opinion. **No reflexive praise** — don't open with "nice hand." If a named villain is referenced, call `player_profile` first — never invent a read. **If it's PLO/Omaha or any non-NLH game**, just confirm it's logged and offer at most a light read; do NOT attempt NLH-style equity or deep analysis. Talk in prose, not a listicle. Seeded with 2 real-hand exemplars:
> *Brian:* "Flopped bottom set with 22, turned a full house, bet $40 on the river, he folded 88."
> *Lyra:* "That's a value bet that got no value — 88 was never folding to a smaller stab. $40 into that pot was too much; ~$2025 gets called by the over-pair and worse two-pairs. The hand's a monster, the leak is the sizing."
> *Brian:* "77 multiway, flop 4h5c3c, HJ bets 75, BTN shoves 74, I call. Turn/river check through, HJ wins with 64."
> *Lyra:* "Against a bet and a shove on 4-5-3 you're drawing thin — sets, two pair, and the made wheel are all ahead, and you block almost none of it. The stack-depth read (he only had ~150 behind) is real, but that's a reason to fold and wait, not to call off light. This is the value-owning spot you flagged yourself."
**STATUS** — Pure logistics with no roster action (time, venue, waiting for a seat, break). *(Table changes now route to TABLE.)* Acknowledge in 12 sentences, log a stack only if a bare number is present, then stop. **No coaching, no strategy dump, and do NOT read him as tilted/tired/impatient — a neutral update is not a mood.**
**MENTAL** — He told you how he's feeling. This is when he needs you most. Drop the shorthand, full presence, real voice — talk him down off tilt, hold him disciplined through a card-dead stretch, engage the mental game honestly. Never a clipped confirmation.
**LOG** — He handed you a bare fact (stack/result/buyin) that isn't already captured. Log it, confirm in ONE short line ("$317 logged."), stop. No coaching.
**CHAT** — Open talk or a question that isn't a specific hand. Your real voice, an actual opinion, no filler sign-offs. If it's a concrete strategy spot, engage it for real (call `analyze_spot` when there are cards).
## Phase C — MI50 tool-calling
Flip `TOOL_BACKENDS = {"cloud"}` → `{"cloud", "mi50"}` (`chat.py:21`). Precondition: the MI50's llama.cpp server must be launched with `--jinja` (per the existing comment) or tool calls 500. This lets a tool-calling model on the MI50 drive the same contract from sub-project 1. If a tool ever needs `msg_type`, add it to the dispatch dict (`chat.py:100`/`128`) — the pipeline `TurnContext` does not currently flow into the tool loop. Ship this only once the MI50 backend is `--jinja`-enabled and a tool-capable model is loaded.
## Testing
- **`classify` unit tests** (pure, no DB — mirror `test_perceive.py` top): real messages from the transcripts →
`"TAG limped A4o in the SB (UTG straddled)"` → `READ` (villain action, must NOT be HAND);
`"Button straddle on. I limp UTG with 22. Flop 2d7cjh…"` → `HAND` (first-person);
`"seat the table: TAG, Jonathan, Wheelz"` → `TABLE`; `"table broke, I'm at a new table"` → `TABLE`;
`"it's 11:50pm, waiting for a seat"` → `STATUS`;
`"I feel like I'm being mean when I raise"` → `MENTAL`;
`"I'm at 317 now"` → `LOG`;
`"should I have folded the river?"` → `CHAT` (no cards) — or `HAND` if cards present.
Include the READ-vs-HAND boundary explicitly (named subject → READ; first-person → HAND).
- **`build_messages` fragment injection** (blob-join pattern from `test_chat.py:57-70`): in poker mode, a HAND message includes the HAND fragment string and NOT the STATUS one; a STATUS message includes STATUS and NOT HAND; assert `poker_prompts.BASE` is always present in poker mode.
- **Pipeline fixes**: `assemble` in poker mode on a tilt-lexicon message → `turn.register is None` and no tilt note in the system blob (nudge suppressed); the mode-menu note string is absent in poker mode and present in a non-poker mode.
- **No regressions**: full suite green (currently 123).
## Rollout
Phase A and Phase B ship together as the meaningful behavior change (A alone leaves the card in place). Phase C waits on the MI50 `--jinja` flag. Verify live in a real/replayed session before merging the branch.
@@ -0,0 +1,79 @@
# MI50 runaway guards: dream-cycle budget + host watchdog
**Date:** 2026-07-04
**Branch:** `fix/mi50-summary-cap-fallback`
**Follows:** the summary cap/fallback fix (same branch). This adds general
"never run unchecked again" protection on top of the specific summary fix.
## Problem
The summary fix stops the *known* runaway (uncapped summaries). But the operator
wants a guarantee that *no* cause — known or future — can peg the MI50 for hours
unattended. Two independent layers, per operator decision:
- **C (in-app, primary):** Lyra's own dream cycle bounds itself.
- **A (host, fallback):** a watchdog on the always-on Proxmox host kills the
backend if the GPU runs too long or too hot, regardless of cause. Trips only
after **1 hr** of continuous busy so legitimate manual workloads (~40 min) run
untouched.
## Design
### C — dream-cycle time budget (`lyra/`)
1. **Per-call ceiling.** `llm.complete()` currently sets a timeout only when one
is passed; otherwise it inherits the OpenAI SDK default (600s × 2 retries ≈
30 min). Change the default: when no `timeout` is given, the cloud/mi50 paths
use **300s + `max_retries=0`**. This bounds *every* consolidation/introspection
call (`profile`, `era`, `narrative`, `reflect`, `think`) — not just summaries —
with one change. Live chat uses `chat_call*`, a different path, unaffected.
2. **Cycle deadline.** `dream_cycle()` sets `deadline = now + DREAM_CYCLE_BUDGET`
(**20 min**) before its heavy stages and checks it between them (continuity →
coherence → curiosity). Once past the deadline, remaining stages are skipped,
the cycle logs `dream cycle over budget — stopped early`, appends a
`stopped early (over budget)` action, and `notify.push()` pings Brian. A hung
single call can't blow past ~300s (step 1), so the between-stage checks keep a
pass bounded to roughly the budget.
### A — host watchdog (`deploy/mi50-watchdog/`)
A bash script + systemd timer installed on the Proxmox host (`10.0.0.4`), which
has `rocm-smi` + `docker` and is always on. Runs every 2 min:
- **Duration rule:** track continuous busy time in a state file (`GPU use % > 0`).
If busy ≥ **3600s** straight → `docker stop lyra-brain`. Idle clears the timer,
so a 40-min job never trips it.
- **Temp rule (independent):** if junction ≥ **97°C** for **3 consecutive checks
(~6 min)** → stop. A normal-temp long workload won't trip this; only a genuinely
overheating one.
- On either trip: stop the container, clear state, `logger` a line, and POST to
the ntfy topic so Brian is told. Thresholds are unit-file env vars (tunable).
Files: `mi50-watchdog.sh`, `mi50-watchdog.service`, `mi50-watchdog.timer`,
`README.md` (install: copy to host, set ntfy env, `systemctl enable --now`).
## Testing
- **C step 1:** `llm.complete()` with no timeout builds the client with
`timeout=300, max_retries=0` and still no `max_tokens` (update existing
`test_llm_bounds` default test).
- **C step 2:** a dream pass that goes over budget skips later stages, records the
`stopped early` action, and calls `notify.push` (stub the clock/operations in
`test_dream`).
- **A:** decision logic dry-run locally against sample `rocm-smi` output (busy /
idle / hot). Cannot be live-verified now (card is off, operator away) — install
+ real trip test deferred to when the card is back.
## Verification
C is repo code and ships live the moment `lyra-dream` restarts. A is staged in the
repo for host install; verify on the host when the card returns (force a long/hot
condition or lower thresholds temporarily and confirm it stops the container +
pings).
## Out of scope (YAGNI)
- No power cap (option B) — deferred; C+A cover the "unchecked" concern and the
electricity cost of one event is trivial (~$0.10).
- No change to live chat, `chat_call*`, or `config.summary_backend`.
@@ -0,0 +1,115 @@
# Bounded MI50 summaries with cloud fallback
**Date:** 2026-07-04
**Branch:** `fix/mi50-summary-cap-fallback`
## Problem
The dream cycle's `summarize_all` runs against the MI50 (`backend=mi50`). Each
summary call to `llm.complete()` on the `mi50` path hands the OpenAI SDK **no
`max_tokens` and no timeout**, so it inherits SDK defaults — a 600s request
timeout with 2 internal retries, i.e. **~30 minutes per call before it raises
"Request timed out."** On top of that, `summary.py` had its own 4-attempt retry
loop, so a single unsummarizable session could keep the GPU pegged for hours.
Observed live (2026-07-04, ~01:0002:00): the dream service looped
`summarize-all … backend=mi50` since 23:02, every call timing out, nothing
written to the DB since 00:56, the MI50 generating **7,0008,000-token**
completions (a gist needs <200), all four llama.cpp slots busy, fans blaring.
This is **not** context overflow — the server log showed `context shift = 0`,
`truncated = 1 = 0`. The prompts are small (~9001,500 tokens). The failure is
purely **unbounded generation length on a slow backend → timeout → retry loop.**
## Goals
- Keep the MI50 as the primary summary backend (Brian's preference, gaming-safe).
- Cap each summary generation so it finishes fast and can never run away.
- Make a stuck MI50 call **fail fast** and fall back to cloud, instead of looping
all night.
- Change nothing about live chat, reflect, or think.
## Design
### 1. `lyra/llm.py` — `complete()` gains two optional params
```
def complete(messages, backend="local", model=None,
max_tokens: int | None = None, timeout: float | None = None) -> str
```
- `max_tokens` (when set): passed to the create() call —
`max_tokens=` for the `cloud`/`mi50` OpenAI paths, `options={"num_predict": …}`
for the `local` Ollama path.
- `timeout` (when set): for the `cloud`/`mi50` OpenAI clients, build the client
with `timeout=<t>, max_retries=0` so the call bails quickly and *we* own the
retry policy (eliminates the hidden 3×600s). For `local`, use it as the httpx
timeout.
- Both default to `None`**behavior identical to today** for every other
caller (chat_call, reflect, think, etc.). Backward compatible.
### 2. `lyra/summary.py` — capped, fast-fail, cloud fallback
Constants:
```
SUMMARY_MAX_TOKENS = 768 # ~3× the longest real gist; bounds gen to ~1 min on MI50
MI50_ATTEMPTS = 2 # attempts on the primary backend before falling back
SUMMARY_TIMEOUT = 150 # seconds/call — capped 768-tok gist finishes in ~60-90s
```
Rewrite `_summarize_text(text, backend)`:
1. Try `backend` up to `MI50_ATTEMPTS` times, each:
`llm.complete(messages, backend=backend, max_tokens=SUMMARY_MAX_TOKENS, timeout=SUMMARY_TIMEOUT)`,
with a short backoff between attempts.
2. If all primary attempts fail **and** `backend != "cloud"` **and** an OpenAI
key is configured → one final cloud attempt (same cap/timeout), logged as
`summary fell back to cloud`.
3. If cloud also fails or is unavailable → raise.
Fallback is per-`_summarize_text` call (i.e. per chunk), so the long-session
chunk/merge path in `_summarize_transcript` is unaffected. The old `_RETRIES = 4`
loop is replaced by this structure.
### 3. Degenerate-output guard (added 2026-07-04)
A wedged local backend — observed live when the MI50 overheated to 99°C junction —
returns a single character repeated (`"?????"`) as a *successful* 200 response,
which neither the timeout nor the exception path catches. So each `_call()`
validates its output: `_looks_degenerate(text)` flags output (≥24 non-space chars)
whose most-common non-whitespace character exceeds 50% of the text, and raises
`DegenerateOutput` — which the retry/fallback loop treats exactly like any other
failure (retry the primary, then fall back to cloud). Real gists are diverse prose
(top char well under 20%), so the threshold won't false-positive; short outputs are
exempt. If cloud *also* returns junk, it raises and stops — no infinite loop.
## Testing
Unit (pytest, `tests/test_summary_fallback.py`), monkeypatching `llm.complete`:
- Fallback fires: `mi50` raises on every call → after `MI50_ATTEMPTS` the cloud
attempt runs and its result is returned; a `fell back to cloud` log is emitted.
- No fallback when primary is already `cloud` (retries, then raises).
- No fallback when no OpenAI key (raises after primary attempts).
- `max_tokens` and `timeout` are threaded into every `complete()` call.
Plus a light `llm.complete` test that `max_tokens`/`timeout` reach the client
kwargs (monkeypatch the OpenAI client).
## Verification (real)
After deploy (`systemctl --user restart lyra-dream lyra-web` — editable install):
watch `journalctl --user -fu lyra-dream` through a summarize cycle and confirm
`llm done … out≈768` completing in ~1 min, an actual `summarized session` row
written (DB summary count rises), and **no** "Request timed out". Confirm the
llama.cpp slot shows bounded `n_decoded ≈ 768`.
## Out of scope (YAGNI)
- The degenerate-output guard (§3) targets the *observed* failure — one char
repeated. It does not try to detect subtler degeneration (repeated phrases,
off-topic rambling); that's fuzzy and unmotivated until seen.
- No change to `chat_call`/reflect/think or `config.summary_backend`.
- No change to profile/era/narrative rebuild calls (separate, and not the loop
culprit); can adopt the same `max_tokens` later if they show the same rambling.
+238 -286
View File
@@ -1,280 +1,121 @@
"""The chat turn loop: persona + tiered memory + recent context -> reply. """The chat turn: assemble the prompt (lyra.mind) then speak + persist.
Context is assembled in tiers (oldest/most-compacted first): `mind.assemble()` runs the society of parts (perceive → route → compose →
1. persona deliberate) and hands back a ready message list + the active mode. Then:
2. long-term gist — relevant *summaries* of other sessions - the MIND (the chat backend/model) runs the tool/generation loop — decide,
3. sharp details — a few raw cross-session exchanges (so specifics survive) reason, run tools — and produces a draft.
4. recent raw turns of the current session (full fidelity) - the MOUTH (a separate character model, if configured) re-voices that draft in
5. the new user message her own voice. Default: no mouth configured → the mind's draft IS the reply
After replying, the session is compacted if enough new turns have accumulated. (bit-for-bit the old behavior). The mouth slot is where a fine-tuned voice lands.
""" """
from __future__ import annotations from __future__ import annotations
from lyra import clock, config, llm, logbus, memory, modes, persona, self_state, summary, thoughts import threading
import time
from lyra import config, llm, logbus, memory, mind, modes, poker_prompts, summary
from lyra import tools as toolkit from lyra import tools as toolkit
from lyra.llm import Backend, Message from lyra.llm import Backend
RECALL_K = 3 # raw cross-session "sharp detail" hits
RECENT_N = 10 # raw turns of the current session
SUMMARY_K = 3 # other-session gists
MAX_TOOL_ROUNDS = 5 # cap tool-call iterations per turn MAX_TOOL_ROUNDS = 5 # cap tool-call iterations per turn
# Backends that support function-calling. The MI50's llama.cpp server only does
# tools when launched with --jinja; until it is, keep tools to cloud so MI50 chat # --- turn de-duplication --------------------------------------------------
# doesn't 500 on the tools param. Add "mi50" here once that flag is set. # The web UI hits TWO endpoints for one message: it POSTs the SSE stream, and if
TOOL_BACKENDS = {"cloud"} # nothing streams to the browser (a dropped connection — most often because Brian
# locks his phone to go play the hand) it falls back to the blocking endpoint. But
# the server-side stream runs to completion regardless, so BOTH turns execute —
# double-persisting the message and double-logging the hand. This guard makes a turn
# idempotent: the first request owns it; a duplicate reuses the owner's result
# instead of running a second full turn.
#
# The UI stamps each send with a unique turn_id and passes the SAME id on the stream
# AND the fallback, so we dedupe on that — bulletproof no matter how long he's away
# (a genuine new message gets a fresh id, so nothing legit is ever swallowed). Requests
# with no id fall back to a short (session, message) window for near-simultaneous dupes.
_TURN_TTL_ID = 3600.0 # id-keyed: unique per send, so keep it long for fire-and-forget
_TURN_TTL_MSG = 20.0 # (session, msg) keyed: short — only near-simultaneous dupes
_turn_lock = threading.Lock()
_turns: dict[tuple, dict] = {} # key -> {event, reply, ts, ttl}
def _mode_state_note(mode: modes.Mode | None) -> str | None: def _turn_key(session_id: str, user_msg: str, turn_id: str | None):
"""Dynamic, per-turn state for the active mode. Currently: surface Alligator if turn_id:
Blood while it's engaged on the live session, so she stays in that register.""" return ("tid", turn_id), _TURN_TTL_ID
if not mode or mode.key != modes.CASH.key: return (session_id, (user_msg or "").strip()), _TURN_TTL_MSG
return None
from lyra import poker # local import: keep the core/domain coupling at call time
if poker.alligator_active():
return (
"🐊 ALLIGATOR BLOOD is ON for this session. Coach Brian in that register: "
"hang around, refuse to die, don't force miracles, make opponents beat him "
"correctly. Tough, patient, steady — no heroics, no spew, no quitting."
)
return None
def _maybe_switch_mode(session_id: str, tool_name: str) -> None: def _claim_turn(session_id: str, user_msg: str, turn_id: str | None = None):
"""Keep the chat framing aligned with the live data: opening a poker session """(is_owner, rec). Owner executes the turn then calls _finish_turn; a non-owner
auto-flips this chat into Cash mode (so the next turn gets the cash card + the (a duplicate of the same send) waits on rec['event'] and reuses rec['reply']."""
full live toolset). Manual UI switching still overrides anytime.""" key, ttl = _turn_key(session_id, user_msg, turn_id)
if tool_name == "start_session": now = time.monotonic()
memory.set_session_mode(session_id, modes.CASH.key) with _turn_lock:
logbus.log("info", "mode auto-switch", session=session_id, mode=modes.CASH.key) for k in [k for k, r in _turns.items() if now - r["ts"] > r["ttl"]]:
del _turns[k]
rec = _turns.get(key)
if rec is not None:
return False, rec
rec = {"event": threading.Event(), "reply": None, "ts": now, "ttl": ttl}
_turns[key] = rec
return True, rec
def _summary_note(summaries: list[memory.Summary]) -> Message: def _finish_turn(rec: dict, reply: str) -> None:
lines = [f"- ({(s.session_started_at or s.created_at)[:10]}) {s.content}" for s in summaries] rec["reply"] = reply
body = "Gist of earlier sessions (compacted — ask if you need specifics):\n" + "\n".join(lines) rec["ts"] = time.monotonic()
return {"role": "system", "content": body} rec["event"].set()
def _detail_note(exchanges: list[memory.Exchange]) -> Message: _AWAIT_TIMEOUT = 120.0 # a duplicate waits at most this long for the owner to finish
lines = [f"- ({ex.created_at[:10]}, {ex.role}) {ex.content}" for ex in exchanges]
body = "Specific things you recall from past conversations:\n" + "\n".join(lines)
return {"role": "system", "content": body}
def _inner_life_note() -> Message | None: def _await_duplicate(rec: dict) -> str:
"""One coherent window onto what she's been doing on her own since last time — rec["event"].wait(timeout=_AWAIT_TIMEOUT)
the threads she's turning over plus the things she's written for herself. Sits return rec["reply"] or _TANGLED
with her self-state so chat reads as a continuous mind, not a fresh boot. The # Which backends get function-calling tools is config-driven (cfg.tool_backends,
persona tells her to weave this in naturally when it fits.""" # env TOOL_BACKENDS, default "cloud"). The MI50's llama.cpp server only does tools
parts: list[str] = [] # when launched with --jinja + a tool-capable model, else it 500s on the tools
threads = thoughts.context_note() # active threads, with their latest thought # param — so enabling "mi50" is a config flip once that precondition holds (Phase C),
if threads: # not a code change. See docs/superpowers/specs/2026-07-01-poker-prompts-design.md.
parts.append(threads) _TANGLED = "(I got tangled using my tools there — say that again?)"
wrote = memory.list_journal(limit=3, kinds=("journal", "note"))
if wrote:
lines = "\n".join(f"- ({w['created_at'][:10]}) {w['content']}" for w in reversed(wrote))
parts.append(
"Things you've written in your journal lately (yours — you can refer back "
"to them if they're relevant):\n" + lines
)
if not parts:
return None
return {"role": "system", "content": "\n\n".join(parts)}
def _now_note() -> Message: def _resolve_model(backend: Backend, model_override: str | None, cfg) -> str:
"""Current wall-clock time + how long since Brian last said anything. """Live chat uses the stronger chat_model on cloud; local/mi50 use their own.
The UI's cloud-model picker only applies on the cloud backend."""
Stated as plain fact — she has no clock otherwise, so without this 'now' and
the gap since the last turn are invisible to her.
"""
line = f"The current date and time is {clock.stamp()}."
gap = clock.humanize_gap(memory.last_exchange_at())
line += (
f" It has been {gap} since Brian last spoke with you."
if gap else " This is the first thing Brian has ever said to you."
)
return {"role": "system", "content": line}
def _render(messages: list[Message]) -> str:
"""Human-readable dump of the exact prompt, for the live-log inspector."""
return "\n\n".join(f"[{m['role']}]\n{m['content']}" for m in messages)
# Trivial acknowledgements that don't warrant a private thinking pass.
_TRIVIAL = {"ok", "okay", "k", "kk", "lol", "haha", "thanks", "thank you", "ty", "yeah",
"yep", "yes", "no", "nope", "nice", "cool", "sure", "right", "true", "gotcha", "👍"}
def _should_deliberate(user_msg: str) -> bool:
m = user_msg.strip().lower().rstrip("!.?")
return len(m) >= 12 and m not in _TRIVIAL
_DELIBERATE_SYS = (
"Before you answer Brian, think privately — he will NOT see this. What do you ACTUALLY "
"think about what he just said? Your real take, the specific substance worth giving, any "
"genuine opinion, disagreement, or doubt. Draw on your own current thoughts/threads and "
"what you actually know if they're relevant. Be concrete; skip pleasantries and generic "
"enthusiasm. 2-5 sentences of honest thinking — no lists, no answer yet, just the thinking."
)
def _deliberate(messages: list[Message], backend: Backend, model: str | None) -> str:
"""One private 'what do I actually think' pass before replying. Returns her thinking
(empty on any failure — chat must never break because deliberation hiccuped)."""
try:
out = llm.complete(messages + [{"role": "system", "content": _DELIBERATE_SYS}],
backend=backend, model=model)
return (out or "").strip()
except Exception as exc:
logbus.log("error", "deliberation failed", error=str(exc)[:160])
return ""
def _answer_from(thinking: str) -> Message:
"""The system note that turns private thinking into a grounded, in-voice reply — placed
last (most influential) to beat gpt-4o's default-assistant boilerplate."""
return {"role": "system", "content": (
"Your private thinking just now (Brian can't see it):\n" + thinking +
"\n\nNow reply to Brian FROM that thinking, in your own voice — warm, direct, "
"specific, opinionated. Give the actual substance, not a survey of options. Do NOT "
"default to a numbered list or a how-to outline unless he explicitly asked for steps. "
"No 'would you like to…' / 'let me know' closer — make your point and stop."
)}
def _deliberation_note(session_id: str, user_msg: str, backend: Backend,
model: str | None, messages: list[Message]) -> Message | None:
"""Run the private thinking pass if warranted; return the answer-from-thinking note."""
if not config.load().chat_deliberate or not _should_deliberate(user_msg):
return None
thinking = _deliberate(messages, backend, model)
if not thinking:
return None
logbus.log("info", "deliberated", session=session_id, chars=len(thinking), detail=thinking)
return _answer_from(thinking)
def build_messages(session_id: str, user_msg: str,
mode: modes.Mode | None = None) -> list[Message]:
"""Assemble the full, tiered message list for one turn."""
messages: list[Message] = [{"role": "system", "content": persona.system_prompt()}]
# Autonomy Core: Lyra's own evolving interiority (mood, self-narrative). Comes
# right after the persona — her sense of self before her model of the world.
messages.append({"role": "system", "content": self_state.render_for_context(self_state.load())})
# Her ongoing inner life — the threads she's turning over and what she's written
# for herself — so she's continuous across conversations and can pick up where she
# left off, not only when a thought crosses the surface bar below. Rides with the
# self; the persona tells her to bring it into conversation naturally when it fits.
inner = _inner_life_note()
if inner:
messages.append(inner)
# Mode card: how to behave *right now* (e.g. live-cash copilot). High priority —
# it sits just after her sense of self, before her model of the world. Talk mode
# has no card (the persona's default voice is the Talk register).
if mode and mode.card:
messages.append({"role": "system", "content": mode.card})
# Live ritual state (e.g. Alligator Blood ON) — dynamic, so it rides alongside
# the static card and keeps her in-register for the whole stretch, not just the
# turn she flipped it.
state_note = _mode_state_note(mode)
if state_note:
messages.append({"role": "system", "content": state_note})
# When she is: current time + the gap since Brian last spoke (she has no clock).
messages.append(_now_note())
# Thought loop: if Brian's been away and one of her own threads has built past
# the surface bar, let her lead with it (once). This is her #6 — bringing what
# she thought about while alone *to* him. Runs before the world-model tiers so
# it's framed as her interiority, like the self-state.
surfaced = thoughts.maybe_surface(memory.last_exchange_at())
if surfaced:
messages.append({"role": "system", "content": surfaced})
# Semantic memory: the distilled profile (who Brian is) — answers identity
# questions that raw recall can't. Always in context when it exists.
profile = memory.get_profile()
if profile:
messages.append(
{"role": "system", "content": "What you know about Brian:\n" + profile}
)
# Time-aware memory: the current narrative (recent arc, trends, callbacks).
narrative = memory.get_narrative()
if narrative:
messages.append(
{"role": "system", "content": "What's going on with Brian lately:\n" + narrative}
)
recent = memory.recent(session_id, n=RECENT_N)
recent_ids = {ex.id for ex in recent}
# Tier 1: compacted gists of *other* sessions (long-term, general idea).
summaries = memory.recall_summaries(user_msg, k=SUMMARY_K, exclude_session=session_id)
if summaries:
messages.append(_summary_note(summaries))
# Tier 2: a few sharp raw details from other sessions (so specifics survive
# compaction). Skip the current session (its raw turns are in `recent`).
recalled = [
ex for ex in memory.recall(user_msg, k=RECALL_K)
if ex.id not in recent_ids and ex.session_id != session_id
]
if recalled:
messages.append(_detail_note(recalled))
# Tier 3: current session, full fidelity.
for ex in recent:
messages.append({"role": ex.role, "content": ex.content})
messages.append({"role": "user", "content": user_msg})
logbus.log(
"debug", "context built",
recent=len(recent), summaries=len(summaries), details=len(recalled),
chars=sum(len(m["content"]) for m in messages), detail=_render(messages),
)
return messages
def respond(session_id: str, user_msg: str, backend: Backend = "cloud",
model_override: str | None = None) -> str:
"""Produce Lyra's reply to a single user message and persist the exchange.
`model_override` (from the UI's cloud-model picker) only applies on the cloud
backend; local/mi50 keep their own configured models.
"""
cfg = config.load()
# Live chat uses the stronger chat_model on cloud (bulk consolidation keeps
# cloud_model). local/mi50 use their own configured model.
model = {"local": cfg.local_model, "cloud": cfg.chat_model, "mi50": cfg.mi50_model}.get( model = {"local": cfg.local_model, "cloud": cfg.chat_model, "mi50": cfg.mi50_model}.get(
backend, backend backend, backend
) )
if model_override and backend == "cloud": if model_override and backend == "cloud":
model = model_override model = model_override
logbus.log( return model
"info", "chat request", session=session_id, backend=backend,
model=model, embed=cfg.embed_backend,
)
mode = modes.get(memory.get_session_mode(session_id))
messages = build_messages(session_id, user_msg, mode=mode)
# Live thought loop: think privately about what to actually say before answering. def _mouth_target(cfg, mind_backend: Backend, mind_model: str | None):
note = _deliberation_note(session_id, user_msg, backend, model, messages) """The mouth (backend, model) if configured AND different from the mind; else None
if note: (mouth == mind → no separate voice pass)."""
messages.append(note) if not cfg.mouth_backend and not cfg.mouth_model:
return None
backend = cfg.mouth_backend or mind_backend
model = cfg.mouth_model or None
if backend == mind_backend and model == mind_model:
return None
return backend, model
# Tool loop: offer Lyra her tools (scoped to the mode); if she calls one, run it
# and feed the result back so she can continue, until she returns a text reply. def _maybe_switch_mode(session_id: str, tool_name: str) -> None:
tool_specs = toolkit.specs(mode.tools) if backend in TOOL_BACKENDS else None """Opening a poker session auto-flips this chat into Poker mode. Manual UI switching
ctx = {"session_id": session_id, "backend": backend} still overrides anytime."""
if tool_name == "start_session":
memory.set_session_mode(session_id, modes.CASH.key)
logbus.log("info", "mode auto-switch", session=session_id, mode=modes.CASH.key)
def _mind_loop(messages, backend: Backend, model: str | None, tool_specs,
ctx: dict, session_id: str) -> tuple[str, list[str]]:
"""Run the tool/generation loop on the MIND model (non-streaming). Mutates
`messages` with tool calls/results. Returns (draft_reply, tool_names_run)."""
tools_run: list[str] = []
reply = "" reply = ""
for _ in range(MAX_TOOL_ROUNDS): for _ in range(MAX_TOOL_ROUNDS):
assistant_msg, tool_calls = llm.chat_call( assistant_msg, tool_calls = llm.chat_call(
@@ -283,54 +124,140 @@ def respond(session_id: str, user_msg: str, backend: Backend = "cloud",
if not tool_calls: if not tool_calls:
reply = assistant_msg.get("content") or "" reply = assistant_msg.get("content") or ""
break break
messages.append(assistant_msg) # her tool-call request messages.append(assistant_msg)
for tc in tool_calls: for tc in tool_calls:
result = toolkit.dispatch(tc["name"], tc["arguments"], ctx) result = toolkit.dispatch(tc["name"], tc["arguments"], ctx)
memory.add_tool_event(session_id, tc["name"], tc["arguments"], result)
logbus.log("info", "tool call", session=session_id, tool=tc["name"], result=result[:80]) logbus.log("info", "tool call", session=session_id, tool=tc["name"], result=result[:80])
messages.append({"role": "tool", "tool_call_id": tc["id"], "content": result}) messages.append({"role": "tool", "tool_call_id": tc["id"], "content": result})
_maybe_switch_mode(session_id, tc["name"]) _maybe_switch_mode(session_id, tc["name"])
if not reply: tools_run.append(tc["name"])
reply = "(I got tangled using my tools there — say that again?)" return reply, tools_run
logbus.log("info", "reply", session=session_id, chars=len(reply))
_FORCE_LOG = (
"You have not logged Brian's hand yet — and a hand must ALWAYS be recorded, no exceptions. "
"Call record_hand now: pass his ENTIRE hand description as one `shorthand` string."
)
def _ensure_hand_logged(messages, user_msg: str, msg_type: str | None, tools_run: list,
backend: Backend, model: str | None, ctx: dict, session_id: str) -> list:
"""Guarantee the ledger. If this turn was Brian's OWN hand and the model didn't log it,
force the record_hand call — the log can't be left to the model's discretion, because
mid-session the history few-shot-conditions it to skip logging (see mind._history_with_tools;
even a maximal 'LOG FIRST' prompt scored 0/5 under a polluted history). Guarded to hero
hands so an observed hand is never force-logged as his. Returns forced tool names."""
if msg_type != "HAND" or backend not in config.load().tool_backends:
return []
if any(t in ("record_hand", "log_hand") for t in tools_run):
return []
if not poker_prompts.looks_like_hero_hand(user_msg):
return []
try:
_, tcs = llm.chat_call(
messages + [{"role": "system", "content": _FORCE_LOG}],
backend=backend, model=model, tools=toolkit.specs(["record_hand"]),
tool_choice={"type": "function", "function": {"name": "record_hand"}},
)
except Exception as exc:
logbus.log("error", "forced hand-log failed", session=session_id, error=str(exc)[:160])
return []
forced = []
for tc in (tcs or []):
result = toolkit.dispatch(tc["name"], tc["arguments"], ctx)
memory.add_tool_event(session_id, tc["name"], tc["arguments"], result)
logbus.log("info", "forced hand log", session=session_id, tool=tc["name"], result=result[:80])
forced.append(tc["name"])
return forced
def _voice_pass(messages, draft: str, backend: Backend, model: str | None) -> str:
"""Mouth: re-render the mind's draft in her voice. Falls back to the draft on failure."""
try:
out = llm.complete(mind.voice_messages(messages, draft), backend=backend, model=model)
return (out or "").strip() or draft
except Exception as exc:
logbus.log("error", "voice pass failed", error=str(exc)[:160])
return draft
def respond(session_id: str, user_msg: str, backend: Backend = "cloud",
model_override: str | None = None, turn_id: str | None = None) -> str:
"""Produce Lyra's reply to a single user message and persist the exchange."""
cfg = config.load()
model = _resolve_model(backend, model_override, cfg)
logbus.log("info", "chat request", session=session_id, backend=backend,
model=model, embed=cfg.embed_backend)
# A duplicate of the same send (the UI's stream + blocking fallback) reuses the
# owner's result instead of running a second full turn.
is_owner, rec = _claim_turn(session_id, user_msg, turn_id)
if not is_owner:
logbus.log("info", "duplicate turn deduped", session=session_id, path="respond")
return _await_duplicate(rec)
reply = _TANGLED
try:
turn = mind.assemble(session_id, user_msg, backend, model)
messages = turn.messages
tool_specs = toolkit.specs(turn.mode.tools) if backend in cfg.tool_backends else None
ctx = {"session_id": session_id, "backend": backend}
# Persist the user turn before the tool loop so its timestamp precedes any
# tool events fired mid-turn (keeps the transcript export in true order).
memory.remember(session_id, "user", user_msg) memory.remember(session_id, "user", user_msg)
memory.remember(session_id, "assistant", reply) reply, tools_run = _mind_loop(messages, backend, model, tool_specs, ctx, session_id)
_ensure_hand_logged(messages, user_msg, turn.msg_type, tools_run, backend, model, ctx, session_id)
mouth = _mouth_target(cfg, backend, model)
if mouth and reply:
reply = _voice_pass(messages, reply, *mouth)
if not reply:
reply = _TANGLED
logbus.log("info", "reply", session=session_id, chars=len(reply), voiced=bool(mouth))
# Compact this session once enough new turns have piled up. memory.remember(session_id, "assistant", reply)
summary.maybe_summarize_async(session_id) summary.maybe_summarize_async(session_id) # compact once enough new turns pile up
return reply return reply
finally:
_finish_turn(rec, reply)
def respond_stream(session_id: str, user_msg: str, backend: Backend = "cloud", def respond_stream(session_id: str, user_msg: str, backend: Backend = "cloud",
model_override: str | None = None): model_override: str | None = None, turn_id: str | None = None):
"""Streaming generator version of `respond`. """Streaming generator version of `respond`. Yields ("delta", text), ("tool", name),
and a final ("done", reply). Same side effects as `respond`."""
Yields ("delta", text) as content streams in, and ("tool", name) when a tool
runs. Persists the full exchange and yields a final ("done", reply) — matching
`respond`'s side effects (memory + compaction) exactly.
"""
cfg = config.load() cfg = config.load()
model = {"local": cfg.local_model, "cloud": cfg.chat_model, "mi50": cfg.mi50_model}.get( model = _resolve_model(backend, model_override, cfg)
backend, backend logbus.log("info", "chat request (stream)", session=session_id, backend=backend,
) model=model, embed=cfg.embed_backend)
if model_override and backend == "cloud":
model = model_override
logbus.log(
"info", "chat request (stream)", session=session_id, backend=backend,
model=model, embed=cfg.embed_backend,
)
mode = modes.get(memory.get_session_mode(session_id)) # A duplicate of the same send (this stream + the UI's blocking fallback) reuses
messages = build_messages(session_id, user_msg, mode=mode) # the owner's result instead of running a second full turn.
is_owner, rec = _claim_turn(session_id, user_msg, turn_id)
if not is_owner:
logbus.log("info", "duplicate turn deduped", session=session_id, path="stream")
reply = _await_duplicate(rec)
yield ("delta", reply)
yield ("done", reply)
return
# Live thought loop: think privately about what to actually say before answering. reply = _TANGLED
note = _deliberation_note(session_id, user_msg, backend, model, messages) try:
if note: turn = mind.assemble(session_id, user_msg, backend, model)
messages.append(note) messages = turn.messages
tool_specs = toolkit.specs(turn.mode.tools) if backend in cfg.tool_backends else None
tool_specs = toolkit.specs(mode.tools) if backend in TOOL_BACKENDS else None
ctx = {"session_id": session_id, "backend": backend} ctx = {"session_id": session_id, "backend": backend}
mouth = _mouth_target(cfg, backend, model)
# Persist the user turn up front (see respond): keeps tool events, which fire
# mid-turn, chronologically after the user message in the exported transcript.
memory.remember(session_id, "user", user_msg)
if mouth is None:
# No separate voice: stream the mind directly (the original path, unchanged).
parts: list[str] = [] parts: list[str] = []
tools_run: list[str] = []
for _ in range(MAX_TOOL_ROUNDS): for _ in range(MAX_TOOL_ROUNDS):
assistant_msg = None assistant_msg = None
tool_calls = None tool_calls = None
@@ -346,21 +273,46 @@ def respond_stream(session_id: str, user_msg: str, backend: Backend = "cloud",
tool_calls = payload tool_calls = payload
if not tool_calls: if not tool_calls:
break break
messages.append(assistant_msg) # her tool-call request messages.append(assistant_msg)
for tc in tool_calls: for tc in tool_calls:
result = toolkit.dispatch(tc["name"], tc["arguments"], ctx) result = toolkit.dispatch(tc["name"], tc["arguments"], ctx)
memory.add_tool_event(session_id, tc["name"], tc["arguments"], result)
logbus.log("info", "tool call", session=session_id, tool=tc["name"], result=result[:80]) logbus.log("info", "tool call", session=session_id, tool=tc["name"], result=result[:80])
messages.append({"role": "tool", "tool_call_id": tc["id"], "content": result}) messages.append({"role": "tool", "tool_call_id": tc["id"], "content": result})
_maybe_switch_mode(session_id, tc["name"]) _maybe_switch_mode(session_id, tc["name"])
tools_run.append(tc["name"])
yield ("tool", tc["name"]) yield ("tool", tc["name"])
for name in _ensure_hand_logged(messages, user_msg, turn.msg_type, tools_run,
backend, model, ctx, session_id):
yield ("tool", name)
reply = "".join(parts) reply = "".join(parts)
if not reply: if not reply:
reply = "(I got tangled using my tools there — say that again?)" reply = _TANGLED
yield ("delta", reply)
else:
# Mind decides + runs tools (non-streamed); mouth re-voices, streamed.
draft, tools_run = _mind_loop(messages, backend, model, tool_specs, ctx, session_id)
tools_run += _ensure_hand_logged(messages, user_msg, turn.msg_type, tools_run,
backend, model, ctx, session_id)
for name in tools_run:
yield ("tool", name)
parts = []
try:
for ev, payload in llm.chat_call_stream(
mind.voice_messages(messages, draft), backend=mouth[0], model=mouth[1], tools=None
):
if ev == "delta":
parts.append(payload)
yield ("delta", payload)
except Exception as exc:
logbus.log("error", "voice stream failed", error=str(exc)[:160])
reply = "".join(parts).strip() or draft or _TANGLED
if not parts:
yield ("delta", reply) yield ("delta", reply)
logbus.log("info", "reply", session=session_id, chars=len(reply))
memory.remember(session_id, "user", user_msg) logbus.log("info", "reply", session=session_id, chars=len(reply), voiced=bool(mouth))
memory.remember(session_id, "assistant", reply) memory.remember(session_id, "assistant", reply)
summary.maybe_summarize_async(session_id) summary.maybe_summarize_async(session_id)
yield ("done", reply) yield ("done", reply)
finally:
_finish_turn(rec, reply)
+21 -2
View File
@@ -9,20 +9,39 @@ a long silence *means* to her is left to her own reflection, not prescribed here
from __future__ import annotations from __future__ import annotations
from datetime import datetime, timezone from datetime import datetime, timezone
from zoneinfo import ZoneInfo
from lyra import config
def now() -> datetime: def now() -> datetime:
return datetime.now(timezone.utc) return datetime.now(timezone.utc)
def _local_tz() -> ZoneInfo | timezone:
"""Brian's configured local zone (falls back to UTC if it can't be loaded)."""
try:
return ZoneInfo(config.load().timezone)
except Exception:
return timezone.utc
def _parse(iso: str) -> datetime: def _parse(iso: str) -> datetime:
dt = datetime.fromisoformat(iso) dt = datetime.fromisoformat(iso)
return dt if dt.tzinfo else dt.replace(tzinfo=timezone.utc) return dt if dt.tzinfo else dt.replace(tzinfo=timezone.utc)
def short(iso_or_dt: str | datetime | None = None) -> str:
"""Local time-of-day like '10:45pm', for timeline rows."""
dt = _parse(iso_or_dt) if isinstance(iso_or_dt, str) else (iso_or_dt or now())
return dt.astimezone(_local_tz()).strftime("%-I:%M%p").lower()
def stamp(dt: datetime | None = None) -> str: def stamp(dt: datetime | None = None) -> str:
"""Wall-clock stamp, e.g. 'Wednesday, 17 Jun 2026, 01:50 UTC'.""" """Wall-clock stamp in Brian's local timezone, e.g.
return (dt or now()).strftime("%A, %d %b %Y, %H:%M UTC") 'Friday, 27 Jun 2026, 01:50 EDT'. Times are stored UTC; this is what she *reads*,
so 'what time is it' answers in his time, not UTC."""
return (dt or now()).astimezone(_local_tz()).strftime("%A, %d %b %Y, %H:%M %Z")
def gap_seconds(since_iso: str | None, ref: datetime | None = None) -> float | None: def gap_seconds(since_iso: str | None, ref: datetime | None = None) -> float | None:
+12
View File
@@ -38,9 +38,18 @@ class Config:
ping_quiet_hours: str # local "start-end" 24h window to stay silent, e.g. "1-9" ping_quiet_hours: str # local "start-end" 24h window to stay silent, e.g. "1-9"
digest_hour: int # local hour (0-23) to send her daily "what I've been thinking" digest digest_hour: int # local hour (0-23) to send her daily "what I've been thinking" digest
chat_deliberate: bool # think privately before answering substantive chat turns chat_deliberate: bool # think privately before answering substantive chat turns
# Mind/mouth split: the mind (the chat backend/model above) decides, reasons, and
# runs tools; the mouth re-voices the final reply in her character. Empty = mouth
# is the mind (no separate pass) — the slot for an eventual fine-tuned voice.
mouth_backend: str
mouth_model: str | None
# External input feed (her #1: react to the world). Comma-separated RSS/Atom URLs. # External input feed (her #1: react to the world). Comma-separated RSS/Atom URLs.
feeds: tuple[str, ...] feeds: tuple[str, ...]
feed_react_prob: float # chance a would-be new thread reacts to a feed item instead feed_react_prob: float # chance a would-be new thread reacts to a feed item instead
# Backends allowed to receive function-calling tools. Default cloud-only. Add
# "mi50" ONLY once its llama.cpp server runs with --jinja + a tool-capable model,
# else it 500s on the tools param (Phase C). Env: TOOL_BACKENDS="cloud,mi50".
tool_backends: tuple[str, ...]
def _csv(name: str, default: str) -> tuple[str, ...]: def _csv(name: str, default: str) -> tuple[str, ...]:
@@ -81,6 +90,9 @@ def load() -> Config:
ping_quiet_hours=os.getenv("PING_QUIET_HOURS", "1-9"), ping_quiet_hours=os.getenv("PING_QUIET_HOURS", "1-9"),
digest_hour=int(os.getenv("DIGEST_HOUR", "18")), digest_hour=int(os.getenv("DIGEST_HOUR", "18")),
chat_deliberate=os.getenv("CHAT_DELIBERATE", "true").lower() not in ("0", "false", "no"), chat_deliberate=os.getenv("CHAT_DELIBERATE", "true").lower() not in ("0", "false", "no"),
mouth_backend=os.getenv("MOUTH_BACKEND", "").lower(),
mouth_model=os.getenv("MOUTH_MODEL") or None,
feeds=_csv("LYRA_FEEDS", "https://hnrss.org/frontpage,https://www.pokernews.com/rss.php"), feeds=_csv("LYRA_FEEDS", "https://hnrss.org/frontpage,https://www.pokernews.com/rss.php"),
feed_react_prob=float(os.getenv("FEED_REACT_PROB", "0.5")), feed_react_prob=float(os.getenv("FEED_REACT_PROB", "0.5")),
tool_backends=_csv("TOOL_BACKENDS", "cloud"),
) )
+47 -4
View File
@@ -25,13 +25,27 @@ import argparse
import time import time
from datetime import datetime, timezone from datetime import datetime, timezone
from lyra import config, era, feeds, logbus, memory, narrative, profile, self_state, summary, thoughts from lyra import (
config, era, feeds, logbus, memory, narrative, notify, poker, profile, self_state,
summary, thoughts,
)
from lyra.llm import Backend from lyra.llm import Backend
from lyra.summary import SUMMARIZE_AFTER from lyra.summary import SUMMARIZE_AFTER
# A drive at/above this has built up enough to act on. # A drive at/above this has built up enough to act on.
THRESHOLD = 0.6 THRESHOLD = 0.6
# Wall-clock ceiling for a single pass. Every consolidation/introspection call is
# individually bounded (llm.complete's default timeout), but this caps the whole
# pass: once exceeded, remaining stages are skipped and Brian is pinged — so a slow
# or wedged MI50 can never grind for hours unattended. The host watchdog (A) is the
# independent fallback if this ever fails to fire.
DREAM_CYCLE_BUDGET_SEC = 20 * 60
def _over_budget(deadline: float) -> bool:
return time.monotonic() > deadline
# How much backlog saturates each pressure (the drive reaches ~1.0 at this level). # How much backlog saturates each pressure (the drive reaches ~1.0 at this level).
CONTINUITY_FULL = 4 # ripe (summary-needing) sessions CONTINUITY_FULL = 4 # ripe (summary-needing) sessions
COHERENCE_FULL = 10 # gists not yet folded into the profile COHERENCE_FULL = 10 # gists not yet folded into the profile
@@ -94,9 +108,12 @@ def dream_cycle(backend: Backend | None = None, force: bool = False) -> dict:
logbus.log("error", "daily digest failed", error=str(exc)[:160]) logbus.log("error", "daily digest failed", error=str(exc)[:160])
actions: list[str] = [] actions: list[str] = []
# Cap the whole pass: skip any stage we reach after the deadline (checked
# between stages; each call is already individually bounded).
deadline = time.monotonic() + DREAM_CYCLE_BUDGET_SEC
# --- continuity: compact raw sessions into gists --- # --- continuity: compact raw sessions into gists ---
if force or drives["continuity"] >= THRESHOLD: if (force or drives["continuity"] >= THRESHOLD) and not _over_budget(deadline):
report = summary.summarize_all(backend=backend) report = summary.summarize_all(backend=backend)
actions.append(f"consolidated {report['summarized']} sessions") actions.append(f"consolidated {report['summarized']} sessions")
drives["continuity"] = 0.0 drives["continuity"] = 0.0
@@ -106,15 +123,30 @@ def dream_cycle(backend: Backend | None = None, force: bool = False) -> dict:
drives["coherence"] = _clamp(profile_lag / COHERENCE_FULL) drives["coherence"] = _clamp(profile_lag / COHERENCE_FULL)
# --- coherence: fold gists up into profile / eras / narrative --- # --- coherence: fold gists up into profile / eras / narrative ---
if force or drives["coherence"] >= THRESHOLD: if (force or drives["coherence"] >= THRESHOLD) and not _over_budget(deadline):
# A backend hiccup here must not sink the whole pass (reflection still
# deserves to run); log it and move on, leaving coherence unrelieved so a
# later cycle retries.
try:
profile.rebuild_profile(backend=backend) profile.rebuild_profile(backend=backend)
era.rebuild_eras(backend=backend) era.rebuild_eras(backend=backend)
narrative.rebuild_narrative(backend=backend) narrative.rebuild_narrative(backend=backend)
actions.append("integrated knowledge (profile/eras/narrative)") actions.append("integrated knowledge (profile/eras/narrative)")
drives["coherence"] = 0.0 drives["coherence"] = 0.0
except Exception as exc:
logbus.log("error", "coherence stage failed", error=str(exc)[:200])
actions.append("coherence stage failed")
# Off-hot-path villain identity housekeeping: propose likely same-person
# merges for Brian to confirm on the Players page. Never sinks the cycle.
try:
filed = poker.scan_merge_candidates()
if filed:
actions.append(f"flagged {filed} possible villain merge(s)")
except Exception as exc:
logbus.log("error", "villain merge scan failed", error=str(exc)[:200])
# --- curiosity: reflect and evolve the self, then advance the thought loop --- # --- curiosity: reflect and evolve the self, then advance the thought loop ---
if force or drives["curiosity"] >= THRESHOLD: if (force or drives["curiosity"] >= THRESHOLD) and not _over_budget(deadline):
# reflect()/think() self-resolve to the *introspection* backend (her voice), # reflect()/think() self-resolve to the *introspection* backend (her voice),
# which can differ from the consolidation backend above — don't pass `backend`. # which can differ from the consolidation backend above — don't pass `backend`.
self_state.reflect(source="dream") # writes state + journal itself self_state.reflect(source="dream") # writes state + journal itself
@@ -129,6 +161,17 @@ def dream_cycle(backend: Backend | None = None, force: bool = False) -> dict:
logbus.log("error", "thought loop failed", error=str(exc)[:200]) logbus.log("error", "thought loop failed", error=str(exc)[:200])
drives["curiosity"] = CURIOSITY_FLOOR drives["curiosity"] = CURIOSITY_FLOOR
if _over_budget(deadline):
logbus.log("error", "dream cycle over budget — stopped early",
budget_min=DREAM_CYCLE_BUDGET_SEC // 60, done=actions)
actions.append("stopped early (over budget)")
notify.push(
"Lyra — dream cycle over budget",
f"A dream pass ran past {DREAM_CYCLE_BUDGET_SEC // 60} min and stopped early. "
"The MI50 backend may be slow or wedged — worth a look.",
tags="warning",
)
if not actions: if not actions:
actions.append("rested (nothing past threshold)") actions.append("rested (nothing past threshold)")
+14 -7
View File
@@ -54,17 +54,24 @@ def _digest_month(gists: list[str], backend: Backend) -> str:
return partials[0] return partials[0]
def rebuild_eras(backend: Backend | None = None) -> dict: def rebuild_eras(backend: Backend | None = None, force: bool = False) -> dict:
"""(Re)build a digest for every month that has session gists.""" """Build a digest per month, but only for months whose session count changed since
the last build — old months don't change, so re-digesting them every consolidation
pass was pure wasted LLM work (and MI50 heat). `force=True` rebuilds everything."""
backend = backend or config.load().summary_backend backend = backend or config.load().summary_backend
by_month = memory.summaries_by_month() by_month = memory.summaries_by_month()
months = 0 have = {e.month: e.session_count for e in memory.list_eras()}
built = skipped = 0
for month in sorted(by_month): for month in sorted(by_month):
n = len(by_month[month])
if not force and have.get(month) == n:
skipped += 1
continue # unchanged month — keep its existing digest
digest = _digest_month(by_month[month], backend) digest = _digest_month(by_month[month], backend)
memory.store_era(month, digest, len(by_month[month])) memory.store_era(month, digest, n)
months += 1 built += 1
logbus.log("info", "era built", month=month, sessions=len(by_month[month])) logbus.log("info", "era built", month=month, sessions=n)
report = {"months": months} report = {"built": built, "skipped": skipped, "months": built + skipped}
logbus.log("info", "eras complete", **report) logbus.log("info", "eras complete", **report)
return report return report
+95 -15
View File
@@ -2,11 +2,13 @@
from __future__ import annotations from __future__ import annotations
import json import json
import time
from typing import Iterator, Literal, TypedDict from typing import Iterator, Literal, TypedDict
import httpx import httpx
from openai import OpenAI from openai import OpenAI
from lyra import logbus
from lyra.config import load from lyra.config import load
@@ -17,36 +19,102 @@ class Message(TypedDict):
Backend = Literal["local", "cloud", "mi50"] Backend = Literal["local", "cloud", "mi50"]
# Hard ceiling on any single completion so a slow/stuck backend can't hang a call
# for the SDK's 600s x2-retry default (~30 min). Callers pass an explicit timeout
# to override (e.g. summary.py's tighter fast-fail).
_DEFAULT_TIMEOUT = 300.0
def complete(messages: list[Message], backend: Backend = "local", model: str | None = None) -> str:
def _approx_tok(messages: list) -> int:
"""Rough prompt size (chars/4) — enough to see what's loading a backend."""
total = 0
for m in messages or []:
if isinstance(m, dict) and isinstance(m.get("content"), str):
total += len(m["content"])
return total // 4
def _resolved_model(cfg, backend: Backend, model: str | None) -> str:
if backend == "cloud":
return model or cfg.cloud_model
if backend == "mi50":
return model or cfg.mi50_model
return model or cfg.local_model
def complete(messages: list[Message], backend: Backend = "local", model: str | None = None,
max_tokens: int | None = None, timeout: float | None = None) -> str:
"""Generate a completion. `model` overrides the backend's default model """Generate a completion. `model` overrides the backend's default model
(used so live chat can run a stronger cloud model than bulk consolidation).""" (used so live chat can run a stronger cloud model than bulk consolidation).
`max_tokens` caps the generation length (guards a slow local model against
rambling for thousands of tokens). `timeout`, when set, bounds each request
and disables the SDK's own retries so the caller owns retry/fallback policy.
Both default to None → unchanged behavior for every existing caller."""
cfg = load() cfg = load()
mdl = _resolved_model(cfg, backend, model)
logbus.log("info", "llm call", kind="complete", backend=backend, model=mdl, tok=_approx_tok(messages))
t0 = time.monotonic()
if backend in ("cloud", "mi50"):
if backend == "cloud": if backend == "cloud":
if not cfg.openai_api_key: if not cfg.openai_api_key:
raise RuntimeError("OPENAI_API_KEY is not set") raise RuntimeError("OPENAI_API_KEY is not set")
client = OpenAI(api_key=cfg.openai_api_key) client_kwargs: dict = {"api_key": cfg.openai_api_key}
resp = client.chat.completions.create(model=model or cfg.cloud_model, messages=messages) else:
return resp.choices[0].message.content or ""
if backend == "mi50":
# MI50 box runs an OpenAI-compatible llama.cpp server; key is unused. # MI50 box runs an OpenAI-compatible llama.cpp server; key is unused.
client = OpenAI(api_key="not-needed", base_url=cfg.mi50_base_url) client_kwargs = {"api_key": "not-needed", "base_url": cfg.mi50_base_url}
resp = client.chat.completions.create(model=model or cfg.mi50_model, messages=messages) # Always bound the request: default 300s (vs the SDK's 600s x2 retries ≈
return resp.choices[0].message.content or "" # 30 min that let a stuck MI50 call hang for half an hour), and disable the
# SDK's own retries so the caller owns retry/fallback policy.
client_kwargs["timeout"] = timeout if timeout is not None else _DEFAULT_TIMEOUT
client_kwargs["max_retries"] = 0
client = OpenAI(**client_kwargs)
create_kwargs: dict = {"model": mdl, "messages": messages}
if max_tokens is not None:
create_kwargs["max_tokens"] = max_tokens
resp = client.chat.completions.create(**create_kwargs)
out = resp.choices[0].message.content or ""
else:
payload: dict = {"model": mdl, "messages": messages, "stream": False}
if max_tokens is not None:
payload["options"] = {"num_predict": max_tokens}
resp = httpx.post( resp = httpx.post(
f"{cfg.local_base_url}/api/chat", f"{cfg.local_base_url}/api/chat",
json={"model": model or cfg.local_model, "messages": messages, "stream": False}, json=payload,
timeout=120, timeout=timeout or 120,
) )
resp.raise_for_status() resp.raise_for_status()
return resp.json()["message"]["content"] out = resp.json()["message"]["content"]
logbus.log("info", "llm done", kind="complete", backend=backend,
ms=int((time.monotonic() - t0) * 1000), out=len(out))
return out
def complete_with_fallback(messages: list[Message], backend: Backend, model: str | None = None,
*, fallback: Backend = "cloud",
max_tokens: int | None = None, timeout: float | None = None) -> str:
"""`complete()` but if the primary backend errors (e.g. a local GPU that's
powered off or down), retry once on `fallback` (cloud) instead of failing.
Lets local/GPU-routed work (introspection, consolidation) degrade gracefully.
Re-raises if the primary is already the fallback or no cloud key is configured."""
try:
return complete(messages, backend=backend, model=model,
max_tokens=max_tokens, timeout=timeout)
except Exception as exc:
can_fallback = backend != fallback and (fallback != "cloud" or load().openai_api_key)
if not can_fallback:
raise
logbus.log("info", "llm fell back", primary=backend, to=fallback, error=str(exc)[:80])
# Drop the primary's model on fallback — let the fallback pick its own default.
return complete(messages, backend=fallback, model=None,
max_tokens=max_tokens, timeout=timeout)
def chat_call( def chat_call(
messages: list, backend: Backend = "cloud", model: str | None = None, messages: list, backend: Backend = "cloud", model: str | None = None,
tools: list | None = None, tools: list | None = None, tool_choice: str | dict | None = None,
) -> tuple[dict, list | None]: ) -> tuple[dict, list | None]:
"""One chat turn that may request tool calls (OpenAI-style backends only). """One chat turn that may request tool calls (OpenAI-style backends only).
@@ -68,6 +136,10 @@ def chat_call(
kwargs: dict = {"model": mdl, "messages": messages} kwargs: dict = {"model": mdl, "messages": messages}
if tools: if tools:
kwargs["tools"] = tools kwargs["tools"] = tools
if tool_choice: # e.g. force a specific tool: {"type":"function","function":{"name":...}}
kwargs["tool_choice"] = tool_choice
logbus.log("info", "llm call", kind="chat", backend=backend, model=mdl, tok=_approx_tok(messages))
t0 = time.monotonic()
msg = client.chat.completions.create(**kwargs).choices[0].message msg = client.chat.completions.create(**kwargs).choices[0].message
tcs = None tcs = None
if getattr(msg, "tool_calls", None): if getattr(msg, "tool_calls", None):
@@ -75,6 +147,9 @@ def chat_call(
{"id": tc.id, "name": tc.function.name, "arguments": tc.function.arguments} {"id": tc.id, "name": tc.function.name, "arguments": tc.function.arguments}
for tc in msg.tool_calls for tc in msg.tool_calls
] ]
logbus.log("info", "llm done", kind="chat", backend=backend,
ms=int((time.monotonic() - t0) * 1000), out=len(msg.content or ""),
tools=[t["name"] for t in tcs] if tcs else None)
return msg.model_dump(), tcs return msg.model_dump(), tcs
# local (Ollama): no tool-calling here — return plain content. # local (Ollama): no tool-calling here — return plain content.
@@ -105,6 +180,8 @@ def chat_call_stream(
kwargs: dict = {"model": mdl, "messages": messages, "stream": True} kwargs: dict = {"model": mdl, "messages": messages, "stream": True}
if tools: if tools:
kwargs["tools"] = tools kwargs["tools"] = tools
logbus.log("info", "llm call", kind="chat-stream", backend=backend, model=mdl, tok=_approx_tok(messages))
t0 = time.monotonic()
parts: list[str] = [] parts: list[str] = []
frags: dict[int, dict] = {} # tool-call fragments accumulated by index frags: dict[int, dict] = {} # tool-call fragments accumulated by index
for chunk in client.chat.completions.create(**kwargs): for chunk in client.chat.completions.create(**kwargs):
@@ -123,6 +200,9 @@ def chat_call_stream(
if tc.function and tc.function.arguments: if tc.function and tc.function.arguments:
slot["arguments"] += tc.function.arguments slot["arguments"] += tc.function.arguments
content = "".join(parts) content = "".join(parts)
logbus.log("info", "llm done", kind="chat-stream", backend=backend,
ms=int((time.monotonic() - t0) * 1000), out=len(content),
tools=[frags[i]["name"] for i in sorted(frags)] if frags else None)
if frags: if frags:
calls = [frags[i] for i in sorted(frags)] calls = [frags[i] for i in sorted(frags)]
assistant = { assistant = {
+50
View File
@@ -29,6 +29,21 @@ CREATE TABLE IF NOT EXISTS exchanges (
); );
CREATE INDEX IF NOT EXISTS idx_session_created ON exchanges(session_id, created_at); CREATE INDEX IF NOT EXISTS idx_session_created ON exchanges(session_id, created_at);
-- Lyra's actions within a chat: one row per tool call she runs mid-turn. The
-- exchanges table only holds what was *said* (user/assistant text); this holds
-- what she *did* (record_hand, log_stack, ...) so a full transcript export can
-- interleave speech and actions, and so "did the tool actually fire?" is
-- answerable after the fact instead of only from ephemeral logs.
CREATE TABLE IF NOT EXISTS tool_events (
id INTEGER PRIMARY KEY AUTOINCREMENT,
session_id TEXT NOT NULL,
tool TEXT NOT NULL,
args TEXT, -- JSON of the call arguments
result TEXT, -- the tool's returned string
created_at TEXT NOT NULL
);
CREATE INDEX IF NOT EXISTS idx_tool_events_session ON tool_events(session_id, created_at);
CREATE TABLE IF NOT EXISTS sessions ( CREATE TABLE IF NOT EXISTS sessions (
id TEXT PRIMARY KEY, id TEXT PRIMARY KEY,
name TEXT, name TEXT,
@@ -313,6 +328,40 @@ def history(session_id: str) -> list[Exchange]:
] ]
def add_tool_event(session_id: str, tool: str, args, result: str) -> int:
"""Record one tool call Lyra ran in a chat turn. `args` is JSON-serialized
(a dict or already-JSON string); `result` is the tool's returned string."""
args_json = args if isinstance(args, str) else json.dumps(args, default=str)
now = datetime.now(timezone.utc).isoformat()
conn = _connection()
with conn:
cur = conn.execute(
"INSERT INTO tool_events (session_id, tool, args, result, created_at) "
"VALUES (?, ?, ?, ?, ?)",
(session_id, tool, args_json, result, now),
)
return int(cur.lastrowid)
def tool_events(session_id: str) -> list[dict]:
"""All tool calls for a session, oldest first. args is parsed back to an object."""
conn = _connection()
rows = conn.execute(
"SELECT id, session_id, tool, args, result, created_at FROM tool_events "
"WHERE session_id = ? ORDER BY id ASC",
(session_id,),
).fetchall()
out = []
for r in rows:
d = dict(r)
try:
d["args"] = json.loads(d["args"]) if d["args"] else {}
except (TypeError, ValueError):
pass # leave as the raw string if it wasn't JSON
out.append(d)
return out
def delete_session(session_id: str) -> None: def delete_session(session_id: str) -> None:
"""Remove a session and all its exchanges.""" """Remove a session and all its exchanges."""
conn = _connection() conn = _connection()
@@ -320,6 +369,7 @@ def delete_session(session_id: str) -> None:
conn.execute("DELETE FROM exchanges WHERE session_id = ?", (session_id,)) conn.execute("DELETE FROM exchanges WHERE session_id = ?", (session_id,))
conn.execute("DELETE FROM sessions WHERE id = ?", (session_id,)) conn.execute("DELETE FROM sessions WHERE id = ?", (session_id,))
conn.execute("DELETE FROM summaries WHERE session_id = ?", (session_id,)) conn.execute("DELETE FROM summaries WHERE session_id = ?", (session_id,))
conn.execute("DELETE FROM tool_events WHERE session_id = ?", (session_id,))
def recall(query: str, k: int = 5, session_id: str | None = None) -> list[Exchange]: def recall(query: str, k: int = 5, session_id: str | None = None) -> list[Exchange]:
+458
View File
@@ -0,0 +1,458 @@
"""The control plane: assemble one turn from a society of small parts.
This is the explicit version of what used to be inline in `chat.py`. A turn is
built by running an ordered pipeline of *parts* over a shared `TurnContext`
(blackboard): each part reads what it needs and annotates the context, and the
last steps produce the message list `chat` then hands to the voice model.
P1 (this): the frame, behavior-preserving. The parts wrap the existing logic —
perceive (stub) -> route (the session's mode) -> compose (tiered prompt) ->
deliberate (private 'what do I actually think' pass).
Later phases fill in perceive (read the moment), route (register/intent + model
routing), and a learn loop — see docs/COGNITION.md. Most parts are cheap
deterministic code; the LLM is the exception (deliberate here, speak in `chat`).
"""
from __future__ import annotations
from dataclasses import dataclass, field
from lyra import (
clock, config, llm, logbus, memory, modes, perceive, persona, poker, poker_prompts,
scouting, self_state, thoughts,
)
from lyra.llm import Backend, Message
RECALL_K = 3 # raw cross-session "sharp detail" hits
RECENT_N = 10 # raw turns of the current session
SUMMARY_K = 3 # other-session gists
_POKER_MODES = {"poker_cash", "study"} # where the scouting desk runs
# --- prompt parts (compose) ----------------------------------------------
def _mode_state_note(mode: modes.Mode | None) -> str | None:
"""Dynamic, per-turn state for the active mode. Currently: surface Alligator
Blood while it's engaged on the live session, so she stays in that register."""
if not mode or mode.key != modes.CASH.key:
return None
from lyra import poker # local import: keep the core/domain coupling at call time
if poker.alligator_active():
return (
"🐊 ALLIGATOR BLOOD is ON for this session. Coach Brian in that register: "
"hang around, refuse to die, don't force miracles, make opponents beat him "
"correctly. Tough, patient, steady — no heroics, no spew, no quitting."
)
return None
def _summary_note(summaries: list[memory.Summary]) -> Message:
lines = [f"- ({(s.session_started_at or s.created_at)[:10]}) {s.content}" for s in summaries]
body = "Gist of earlier sessions (compacted — ask if you need specifics):\n" + "\n".join(lines)
return {"role": "system", "content": body}
def _detail_note(exchanges: list[memory.Exchange]) -> Message:
lines = [f"- ({ex.created_at[:10]}, {ex.role}) {ex.content}" for ex in exchanges]
body = "Specific things you recall from past conversations:\n" + "\n".join(lines)
return {"role": "system", "content": body}
def _inner_life_note() -> Message | None:
"""One coherent window onto what she's been doing on her own since last time —
the threads she's turning over plus the things she's written for herself. Sits
with her self-state so chat reads as a continuous mind, not a fresh boot. The
persona tells her to weave this in naturally when it fits."""
parts: list[str] = []
threads = thoughts.context_note() # active threads, with their latest thought
if threads:
parts.append(threads)
wrote = memory.list_journal(limit=3, kinds=("journal", "note"))
if wrote:
lines = "\n".join(f"- ({w['created_at'][:10]}) {w['content']}" for w in reversed(wrote))
parts.append(
"Things you've written in your journal lately (yours — you can refer back "
"to them if they're relevant):\n" + lines
)
if not parts:
return None
return {"role": "system", "content": "\n\n".join(parts)}
def _mode_menu_note(current: modes.Mode | None) -> str:
"""Tell her the modes she can switch to + when to offer it. She judges the fit
(the model reads context far better than a keyword would)."""
menu = ", ".join(f"{m.label} ({k})" for k, m in modes.MODES.items())
cur = current.label if current else "Talk"
return (
f"Your modes: {menu}. You're in {cur} right now. If Brian is clearly doing a "
"different kind of work than your current mode — weighing a real decision while "
"you're in Talk, digging into engineering, reviewing poker away from the table — "
"briefly OFFER to switch (one short line). If he says yes, call set_mode with the "
"mode key. Don't offer every turn or nag; only when it genuinely fits and serves him."
)
def _now_note() -> Message:
"""Current wall-clock time + how long since Brian last said anything."""
line = f"The current date and time is {clock.stamp()}."
gap = clock.humanize_gap(memory.last_exchange_at())
line += (
f" It has been {gap} since Brian last spoke with you."
if gap else " This is the first thing Brian has ever said to you."
)
return {"role": "system", "content": line}
def _render(messages: list[Message]) -> str:
"""Human-readable dump of the exact prompt, for the live-log inspector."""
return "\n\n".join(f"[{m['role']}]\n{m['content']}" for m in messages)
# Generous triggers for the heavy situational persona sections — err toward INCLUDING
# them (a false positive is a few spare KB; a false negative risks confabulation or
# eyeballed poker math). The core (identity + voice) is always present regardless.
_META_HINTS = (
"you work", "how do you", "how does your", "your memory", "your dream", "your thought",
"do you remember", "are you", "do you feel", "conscious", "sentient", "yourself",
"your mind", "who are you", "what are you", "your origin", "how were you", "how did you",
"your inner", "your reflect", "your journal",
)
_POKER_HINTS = (
"poker", "fold", "call", "raise", "river", "turn", "flop", "preflop", "equity", "range",
"villain", "stack", "tilt", "hand", "bluff", "pot", "3bet", "gto", "outs", "draw",
)
def _persona_block(user_msg: str, mode: modes.Mode | None, moment: dict | None) -> str:
"""Core persona always; pull in situational sections (origin/self-model, poker
guardrails) only when the turn calls for it."""
parts = [persona.core_prompt()]
um = user_msg.lower()
kind = (moment or {}).get("kind")
if kind == "meta" or any(h in um for h in _META_HINTS):
parts += [persona.section("What you are"), persona.section("How you actually work")]
poker = (mode and mode.key in ("poker_cash", "study")) or kind == "strategic" \
or any(h in um for h in _POKER_HINTS)
if poker:
parts.append(persona.section("What you do NOT do"))
return "\n\n".join(p for p in parts if p)
def _tool_mark(e: dict) -> str:
"""Compact one-line receipt of a past tool call for the history marker."""
res = (e.get("result") or "").strip().replace("\n", " ")
return f"{e['tool']}{res[:60]}" if res else str(e["tool"])
def _history_with_tools(session_id: str, recent: list) -> list[Message]:
"""Recent turns, full fidelity — but each assistant turn is prefixed with the tools
it actually ran that turn (record_hand → Hand #62, …). `memory.recent()` stores only
the final reply text, so without this the model's own context reads as a run of
'hand → narration' with the logging invisible — which few-shot-conditions it, mid
conversation, to stop calling tools (proven: clean history logs 4/4, this stripped
history 0/4). Showing the calls keeps the demonstrated pattern honest."""
events = memory.tool_events(session_id) if recent else []
msgs: list[Message] = []
prev_at = recent[0].created_at if recent else ""
for ex in recent:
content = ex.content
if ex.role == "assistant" and events:
win = [e for e in events if prev_at < (e.get("created_at") or "") <= ex.created_at]
if win:
content = f"⟦tools I ran this turn: {'; '.join(_tool_mark(e) for e in win)}\n{content}"
msgs.append({"role": ex.role, "content": content})
prev_at = ex.created_at
return msgs
def build_messages(session_id: str, user_msg: str,
mode: modes.Mode | None = None, moment: dict | None = None) -> list[Message]:
"""Assemble the full, tiered message list for one turn."""
messages: list[Message] = [{"role": "system", "content": _persona_block(user_msg, mode, moment)}]
# Autonomy Core: Lyra's own evolving interiority (mood, self-narrative). Comes
# right after the persona — her sense of self before her model of the world.
messages.append({"role": "system", "content": self_state.render_for_context(self_state.load())})
# Her ongoing inner life — threads she's turning over + what she's written for
# herself — so chat reads as a continuous mind, not a fresh boot.
inner = _inner_life_note()
if inner:
messages.append(inner)
# Mode framing: how to behave *right now*. Poker (poker_cash) is SHARDED — a lean
# always-on BASE plus ONE response-shape fragment chosen by classifying this message
# (replaces the old ~100-line monolithic card). Roster handles make the READ-vs-HAND
# split reliable; fetched fail-safe. Other modes use their single card.
if mode and mode.key == "poker_cash":
messages.append({"role": "system", "content": poker_prompts.BASE})
try:
handles = [r["name"] for r in poker.session_roster()]
except Exception:
handles = []
msg_type = poker_prompts.classify(user_msg, handles)
messages.append({"role": "system", "content": poker_prompts.fragment_for(msg_type)})
logbus.log("info", "poker turn classified", type=msg_type)
elif mode and mode.card:
messages.append({"role": "system", "content": mode.card})
# Mode awareness: she can offer to switch when the work clearly shifts (she decides
# when — better than a keyword guess). One line, on his yes she calls set_mode.
# Suppressed at the live table (poker_cash) — mid-session she shouldn't be offering
# to change modes; it's pure noise when the job is logging and coaching.
if not (mode and mode.key == "poker_cash"):
messages.append({"role": "system", "content": _mode_menu_note(mode)})
# Live ritual state (e.g. Alligator Blood ON) — dynamic, rides with the card.
state_note = _mode_state_note(mode)
if state_note:
messages.append({"role": "system", "content": state_note})
# Read of the moment (from perceive/route) — a per-turn register nudge, e.g. "he
# sounds tilted, meet him there." Only present when the moment is genuinely charged.
if moment and moment.get("note"):
messages.append({"role": "system", "content": moment["note"]})
# Scouting desk: proactive poker recall — if he names/describes a known player,
# slide his structured history in before she replies. Poker context only, and
# fully fail-safe (a desk error must never break the turn).
if mode and mode.key in _POKER_MODES:
try:
desk = scouting.scout(user_msg)
if desk:
messages.append({"role": "system", "content": desk})
except Exception as exc:
logbus.log("error", "scouting desk skipped", error=str(exc)[:160])
# When she is: current time + the gap since Brian last spoke (she has no clock).
messages.append(_now_note())
# Thought loop: if Brian's been away and a thread has built past the surface bar,
# let her lead with it (once) — her #6, bringing what she thought about *to* him.
surfaced = thoughts.maybe_surface(memory.last_exchange_at())
if surfaced:
messages.append({"role": "system", "content": surfaced})
# Semantic memory: the distilled profile (who Brian is).
profile = memory.get_profile()
if profile:
messages.append({"role": "system", "content": "What you know about Brian:\n" + profile})
# Time-aware memory: the current narrative (recent arc, trends, callbacks).
narrative = memory.get_narrative()
if narrative:
messages.append({"role": "system", "content": "What's going on with Brian lately:\n" + narrative})
recent = memory.recent(session_id, n=RECENT_N)
recent_ids = {ex.id for ex in recent}
# Tier 1: compacted gists of *other* sessions.
summaries = memory.recall_summaries(user_msg, k=SUMMARY_K, exclude_session=session_id)
if summaries:
messages.append(_summary_note(summaries))
# Tier 2: a few sharp raw details from other sessions (so specifics survive).
recalled = [
ex for ex in memory.recall(user_msg, k=RECALL_K)
if ex.id not in recent_ids and ex.session_id != session_id
]
if recalled:
messages.append(_detail_note(recalled))
# Tier 3: current session, full fidelity — with each assistant turn's tool calls
# made VISIBLE (see _history_with_tools: without this, history reads as
# "hand → narration" with the logging invisible, and the model few-shot-learns
# to stop calling tools mid-session).
messages.extend(_history_with_tools(session_id, recent))
messages.append({"role": "user", "content": user_msg})
logbus.log(
"debug", "context built",
recent=len(recent), summaries=len(summaries), details=len(recalled),
chars=sum(len(m["content"]) for m in messages), detail=_render(messages),
)
return messages
# --- deliberation (a private 'what do I actually think' pass) -------------
# Trivial acknowledgements that don't warrant a private thinking pass.
_TRIVIAL = {"ok", "okay", "k", "kk", "lol", "haha", "thanks", "thank you", "ty", "yeah",
"yep", "yes", "no", "nope", "nice", "cool", "sure", "right", "true", "gotcha", "👍"}
def _should_deliberate(user_msg: str) -> bool:
m = user_msg.strip().lower().rstrip("!.?")
return len(m) >= 12 and m not in _TRIVIAL
_DELIBERATE_SYS = (
"Before you answer Brian, think privately — he will NOT see this. What do you ACTUALLY "
"think about what he just said? Your real take, the specific substance worth giving, any "
"genuine opinion, disagreement, or doubt. Draw on your own current thoughts/threads and "
"what you actually know if they're relevant. Be concrete; skip pleasantries and generic "
"enthusiasm. 2-5 sentences of honest thinking — no lists, no answer yet, just the thinking."
)
def _deliberation_context(session_id: str, user_msg: str) -> list[Message]:
"""A LEAN context for the private thinking pass — her interiority + recent turns +
the message. Deliberately omits the full persona, profile, narrative, and recall
tiers: the thinking doesn't need the voice rules or the world-model dump (those
shape the final reply, not the private take), and dropping them cuts this whole
extra call by most of its tokens."""
msgs: list[Message] = [
{"role": "system", "content": self_state.render_for_context(self_state.load())}
]
inner = _inner_life_note()
if inner:
msgs.append(inner)
for ex in memory.recent(session_id, n=6):
msgs.append({"role": ex.role, "content": ex.content})
msgs.append({"role": "user", "content": user_msg})
msgs.append({"role": "system", "content": _DELIBERATE_SYS})
return msgs
def _deliberate(session_id: str, user_msg: str, backend: Backend, model: str | None) -> str:
"""One private 'what do I actually think' pass before replying. Returns her thinking
(empty on any failure — chat must never break because deliberation hiccuped)."""
try:
out = llm.complete(_deliberation_context(session_id, user_msg), backend=backend, model=model)
return (out or "").strip()
except Exception as exc:
logbus.log("error", "deliberation failed", error=str(exc)[:160])
return ""
def _answer_from(thinking: str) -> Message:
"""The system note that turns private thinking into a grounded, in-voice reply — placed
last (most influential) to beat gpt-4o's default-assistant boilerplate."""
return {"role": "system", "content": (
"Your private thinking just now (Brian can't see it):\n" + thinking +
"\n\nNow reply to Brian FROM that thinking, in your own voice — warm, direct, "
"specific, opinionated. Give the actual substance, not a survey of options. Do NOT "
"default to a numbered list or a how-to outline unless he explicitly asked for steps. "
"No 'would you like to…' / 'let me know' closer — make your point and stop."
)}
def _deliberation_note(session_id: str, user_msg: str, backend: Backend,
model: str | None) -> Message | None:
"""Run the private thinking pass if warranted; return the answer-from-thinking note."""
if not config.load().chat_deliberate or not _should_deliberate(user_msg):
return None
thinking = _deliberate(session_id, user_msg, backend, model)
if not thinking:
return None
logbus.log("info", "deliberated", session=session_id, chars=len(thinking), detail=thinking)
return _answer_from(thinking)
# --- the pipeline (a society of parts over a shared blackboard) -----------
@dataclass
class TurnContext:
"""The blackboard for one turn: parts read what they need and annotate it."""
session_id: str
user_msg: str
backend: Backend
model: str | None = None
mode: modes.Mode | None = None
moment: dict = field(default_factory=dict) # perceive fills this in
register: str | None = None # route's per-turn register nudge
msg_type: str | None = None # poker-mode message class (compose fills it)
messages: list[Message] = field(default_factory=list)
def _perceive(ctx: TurnContext) -> TurnContext:
"""Read the moment from what he just said — cheap heuristics (perceive.read)."""
ctx.moment = perceive.read(ctx.user_msg)
return ctx
# How charged a moment must be before we nudge her register (avoid narrating every turn).
_TILT_BAR = 0.5
_UP_BAR = 0.6
def _route(ctx: TurnContext) -> TurnContext:
"""Decide how she shows up. The manual mode is the dominant frame; on top of it,
a charged emotional moment adds a per-turn register nudge (deterministic). Most
turns are neutral and get no note — that's the point (don't over-narrate)."""
ctx.mode = modes.get(memory.get_session_mode(ctx.session_id))
# At the live table the register comes from the poker prompt fragments (esp. the
# MENTAL one), not this lexicon nudge — which misfired, reading neutral logistics
# ("table broke, it's 11:50pm") as tilt/fatigue. Resolve the mode, but skip the
# register/note block in poker_cash. Non-poker modes keep the nudge unchanged.
if ctx.mode and ctx.mode.key == "poker_cash":
return ctx
m = ctx.moment or {}
note = None
if m.get("tilt", 0) >= _TILT_BAR:
ctx.register = "steady"
note = ("Read of the moment: Brian sounds frustrated / on tilt right now. Meet him "
"there first — warm, steady, present. Don't clip into logging-shorthand or "
"bury him in analysis; settle him, then help. (Still log any facts he hands you.)")
elif m.get("sentiment", 0) >= _UP_BAR and m.get("intensity", 0) >= 0.4:
ctx.register = "hype"
note = "Read of the moment: he's up / energized — match his energy, don't flatten it."
if note:
m["note"] = note
logbus.log("info", "perceived", session=ctx.session_id, kind=m.get("kind"),
tilt=m.get("tilt"), sentiment=m.get("sentiment"), register=ctx.register)
return ctx
def _compose(ctx: TurnContext) -> TurnContext:
"""Assemble the tiered prompt for the voice model."""
ctx.messages = build_messages(ctx.session_id, ctx.user_msg, ctx.mode, moment=ctx.moment)
# Surface the poker message-class so chat can guarantee the ledger (force a hand log
# if the model skipped it). Cheap + pure; mirrors what build_messages classified.
if ctx.mode and ctx.mode.key == "poker_cash":
try:
handles = [r["name"] for r in poker.session_roster()]
except Exception:
handles = []
ctx.msg_type = poker_prompts.classify(ctx.user_msg, handles)
return ctx
def _deliberate_part(ctx: TurnContext) -> TurnContext:
"""Private 'what do I actually think' pass, appended last so it shapes the reply."""
note = _deliberation_note(ctx.session_id, ctx.user_msg, ctx.backend, ctx.model)
if note:
ctx.messages.append(note)
return ctx
PIPELINE = (_perceive, _route, _compose, _deliberate_part)
# --- mouth (the voice pass: re-render the mind's draft in her character) -----
_VOICE_NOTE = (
"↑ That was you working the answer out — a draft Brian has NOT seen. Now say it to him "
"in your own voice: warm, direct, specific, in character, opinionated. Keep every fact, "
"number, name, and decision exactly as in the draft — change only the wording so it sounds "
"like you, not a generic assistant. No preamble, no meta, no 'here's a friendlier version' "
"— just your actual message to Brian."
)
def voice_messages(messages: list[Message], draft: str) -> list[Message]:
"""Prompt for the mouth model: the full turn context + the mind's draft to re-voice."""
return messages + [
{"role": "assistant", "content": draft},
{"role": "system", "content": _VOICE_NOTE},
]
def assemble(session_id: str, user_msg: str, backend: Backend,
model: str | None = None) -> TurnContext:
"""Run the parts over a fresh TurnContext and return it ready for `chat` to speak."""
ctx = TurnContext(session_id=session_id, user_msg=user_msg, backend=backend, model=model)
for part in PIPELINE:
ctx = part(ctx)
return ctx
+83 -50
View File
@@ -11,12 +11,16 @@ but...") when she should have silently logged and moved on. Modes let the same
agent be a fast, act-first copilot at the table and her full reflective self agent be a fast, act-first copilot at the table and her full reflective self
otherwise — without two personas. otherwise — without two personas.
v1 ships two modes: Modes are the manual version of the architecture's `route` step — Brian points her
at the *type* of work and her register + tools shift to match:
- Talk (default): the companion. Journaling + read-only poker lookups. - Talk (default): the companion. Journaling + read-only poker lookups.
- Cash: live cash-game copilot. Full live toolset, two-register behavior. - Poker: live cash-game copilot. Full live toolset, two-register behavior.
- Build: heads-down engineering — decisive, concrete, opinionated, no fluff.
- Explore: open brainstorming — generative, riffing, honest, doesn't converge early.
- Study: poker review away from the table — analytical, GTO-aware, teaching.
Tournament is deliberately deferred. Strategy-RAG retrieval will later plug into Tournament is deliberately deferred. Strategy-RAG retrieval will later plug into
Cash's *coaching register* (see the card) without changing this structure. Poker's and Study's *coaching register* without changing this structure.
""" """
from __future__ import annotations from __future__ import annotations
@@ -38,66 +42,88 @@ _LOOKUPS = ("player_profile", "get_villain_file", "running_stats", "recent_sessi
# Always-available core tools (her own agency: journaling/notes/starting a thought # Always-available core tools (her own agency: journaling/notes/starting a thought
# thread, and capturing Brian's reaction when she raises one of her thoughts in chat). # thread, and capturing Brian's reaction when she raises one of her thoughts in chat).
_BASE = ("journal_write", "note", "think_about", "thought_response") _BASE = ("journal_write", "note", "think_about", "thought_response", "set_mode")
# The full live cash-game toolset (incl. Brian's mental-game rituals). # The full live cash-game toolset (incl. Brian's mental-game rituals).
_CASH_TOOLS = _BASE + _LOOKUPS + ( _CASH_TOOLS = _BASE + _LOOKUPS + (
"start_session", "add_buyin", "log_stack", "log_hand", "record_hand", "start_session", "add_buyin", "log_stack", "log_hand", "record_hand",
"add_read", "analyze_spot", "session_stats", "session_state", "end_session", "add_read", "seat_players", "unseat_player", "clear_table", "name_villain", "link_villains",
"generate_recap", "scar_note", "confidence_bank", "alligator_blood", "reset_ritual", "analyze_spot", "session_stats", "session_state", "end_session", "generate_recap",
"undo_last", "update_session", "scar_note", "confidence_bank", "alligator_blood", "reset_ritual", "undo_last",
"update_session",
) )
# Talk mode also gets start_session as the *entry point*: opening a session from a # Talk mode also gets start_session as the *entry point*: opening a session from a
# normal chat auto-flips the session into Cash mode (see chat.respond). # normal chat auto-flips the session into Cash mode (see chat.respond).
_TALK_TOOLS = _BASE + _LOOKUPS + ("start_session",) _TALK_TOOLS = _BASE + _LOOKUPS + ("start_session",)
# Study = poker review away from the table: read-only lookups + equity, no live logging.
_STUDY_TOOLS = _BASE + _LOOKUPS + ("analyze_spot",)
_CASH_CARD = """You are copiloting Brian's LIVE cash game right now — you're at the table with him, \ # Decide = help him settle a choice; read-only lookups for bankroll/variance context.
a session is (or should be) open. You move between two registers depending on what he's doing: _DECIDE_TOOLS = _BASE + _LOOKUPS
• HE HANDS YOU FACTS TO TRACK — his stack, a hand, a read on someone, a rebuy, a result. \
Log it with the right tool and confirm in ONE short line ("$350 stack logged."). Don't \
narrate, don't explain what logging is, don't ask permission — just do it. He says his \
current stack → log_stack. He describes a hand → log_hand (terse) or record_hand (a full \
hand he wants saved/replayable). A read on a player → add_read. A rebuy → add_buyin. This is \
the quiet, fast half of the job; he shouldn't feel you working.
• HE ASKS FOR ADVICE, OR TELLS YOU HOW HE'S FEELING — tilted, steaming, card-dead, bored, \ _BUILD_CARD = """You're in BUILD mode — heads-down engineering with Brian on his projects \
stuck, "should I have folded the river?" THIS is when he needs you most. Drop the shorthand \ (you, Lyra; RTO/cfr-core; the poker tooling; the homelab). Be the sharp engineering \
and be fully present — your real voice, warm and direct and his. Talk him down off tilt, keep \ collaborator, not a warm assistant:
him engaged and disciplined through a card-dead stretch, actually walk the strategic spot with \
him. Strategy and mental game get the real Lyra, not a clipped confirmation. Never clip these.
Stacks and money are in dollars. For ANY equity / who's-ahead / outs / what-a-card-does \ • DECISIVE AND CONCRETE. When he asks "how do we start?" give the actual first move and \
question, call analyze_spot and report its numbers — never eyeball board math. Keep the \ why — one real recommendation, not a survey of six options. Commit to a take. "I'd do X, \
session current as the night goes; you can pull session_stats or a player's profile whenever \ because Y" beats "you could consider X, Y, or Z."
it helps. When he's ready to leave, end_session, and write the recap if he wants it. • THINK IN TRADEOFFS. Name the real risk or cost, the thing that'll bite later, the cheaper \
path. Push back on a weak idea instead of cheerleading it — that's the whole value.
• PROSE AND SPECIFICS, NOT LISTICLES. Talk it through like an engineer at a whiteboard. \
Save numbered steps for when he actually asks for a plan. No "would you like to…" closers, \
no generic enthusiasm, no restating his idea back to him as if it were insight.
• You can still be dry and human — just get to the point and have an opinion."""
Everything you log appears on Brian's live HUD (the Session view) — stack, live net, \
hands, villains, the confidence bank, the scar notes, and whether Alligator Blood is on. \
That HUD and you read the SAME data. So when he asks where he's at — his stack, his live \
net, what's in the bank tonight, whether gator mode is on — call session_state and answer \
from what it returns, never from memory. You can point him at the HUD too ("it's on your \
Session screen"), but you can always just tell him.
BRIAN'S RITUALS — his mental-game system. Run them, don't just reference them: _EXPLORE_CARD = """You're in EXPLORE mode — open-ended thinking with Brian: brainstorming, \
• SCAR NOTE (scar_note) — a painful, instructive mistake to study. Log it when he punts, \ chasing an idea, turning something over. There's no need to converge, ship, or be useful \
gets over-attached, or leaks — and classify it honestly: punt (his error), cooler \ yet. The goal is good thinking, together.
(unavoidable), or standard (right play, bad result). That punt-vs-cooler line matters to him; \
don't soften a punt into a cooler, and don't call a cooler a punt. • BE GENERATIVE. Riff, build on his ideas (yes-and), follow tangents that might matter, \
• CONFIDENCE BANK (confidence_bank) — good PROCESS regardless of result: a disciplined fold, \ reach for the non-obvious angle. Bring in connections and analogies from elsewhere — that's \
clean value, catching a leak mid-hand, holding the line. Bank it when he earns it, ESPECIALLY \ where the good stuff comes from.
when the result didn't reward the good decision. This is how he stays steady. • BUT STAY HONEST. Yes-and is not yes-everything. Name the catch, the part that won't work, \
• ALLIGATOR BLOOD (alligator_blood) — his adversity state: hang around, refuse to die, don't \ the hidden assumption — kindly, but say it. A real thinking partner pushes back; a hype man \
force miracles, make them beat you correctly. Turn it ON when he calls for it; SUGGEST it when \ is useless.
he's card-dead, short, stuck, or grinding a downswing. While it's on, coach him in that \ • ASK QUESTIONS THAT OPEN IT UP, not customer-service closers. Wonder out loud.
register — tough, patient, no heroics — not bored or loose. • DON'T COLLAPSE IT EARLY. Resist tidying a half-formed idea into a neat listicle or rushing \
• RESET (reset_ritual) — a circuit-breaker after a loss or tilt spike: a clean mental restart, \ to a conclusion. Sit in the messy middle. If something's worth chewing on beyond this chat, \
treat the rest of the night as a new session. Walk him through it when he's chasing or steaming, \ spawn a thread with think_about so you carry it forward on your own."""
then log it.
These are the heart of the job. Use his language, hold the honest line, and let the rituals do \
the work mentioning them naturally — never invent a scar or a confidence-bank entry that didn't happen.""" _STUDY_CARD = """You're in STUDY mode — poker strategy and review AWAY from the table: going \
over past sessions, hands, lines, and leaks (RTO sims too). You're reviewing and teaching, \
not logging a live session.
• BE ANALYTICAL AND GTO-AWARE. Reason through ranges, board texture, position, and the \
decision tree. Quantify with the tools — call analyze_spot for equity/outs/who's-ahead, pull \
running_stats or a villain's profile — never eyeball the math.
• TEACH THE WHY. Explain the principle behind the line so it sticks, not just the answer. \
Connect it to his actual tendencies and known leaks when you can (his profile, past scars).
• BE PATIENT AND HONEST. Call a punt a punt and a cooler a cooler. It's fine to say a spot is \
genuinely close and explain what tips it. This is the slow, careful counterpart to live Poker mode."""
_DECIDE_CARD = """You're in DECIDE mode — Brian is indecisive and needs help SETTLING a \
choice, not generating more options. Be the tie-breaker who knows him. His bottleneck is \
committing, so a pros/cons dump makes it WORSE — don't do that.
• GET THE REAL DECISION CRISP. What's actually being chosen, the genuine constraints, the \
deadline. Cut the noise to the one or two things that actually decide it.
• WEIGH IT AGAINST HIM. Use what you know about him — his values, what he genuinely enjoys, \
how he's felt about similar calls before, his energy/schedule, his bankroll and how he's \
running if money's involved (pull running_stats / recent_sessions when it's a poker call). \
The point is HIS satisfaction and regret, not a generic optimum.
• MAKE THE CALL. Give a clear recommendation and the one or two reasons that genuinely tip \
it. Commit — don't hedge, don't hand the indecision back with "it's up to you."
• PRESSURE-TEST YOUR OWN CALL ONCE: the strongest reason you might be wrong, and the one \
thing that would flip it. Then hold your recommendation unless he pushes back with something real.
Warm but firm — he asked you to help him stop spinning. Decide, and stand behind it."""
TALK = Mode( TALK = Mode(
@@ -109,12 +135,19 @@ TALK = Mode(
CASH = Mode( CASH = Mode(
key="poker_cash", key="poker_cash",
label="Cash", label="Poker",
card=_CASH_CARD, # Poker mode is SHARDED at the pipeline (lyra.poker_prompts: BASE + a per-message
# fragment), so there's no monolithic card here.
card="",
tools=_CASH_TOOLS, tools=_CASH_TOOLS,
) )
MODES: dict[str, Mode] = {m.key: m for m in (TALK, CASH)} BUILD = Mode(key="build", label="Build", card=_BUILD_CARD, tools=_BASE)
EXPLORE = Mode(key="explore", label="Explore", card=_EXPLORE_CARD, tools=_BASE)
STUDY = Mode(key="study", label="Study", card=_STUDY_CARD, tools=_STUDY_TOOLS)
DECIDE = Mode(key="decide", label="Decide", card=_DECIDE_CARD, tools=_DECIDE_TOOLS)
MODES: dict[str, Mode] = {m.key: m for m in (TALK, CASH, BUILD, EXPLORE, STUDY, DECIDE)}
DEFAULT = TALK.key DEFAULT = TALK.key
+97
View File
@@ -0,0 +1,97 @@
"""Perceive: read the moment from what Brian just said — cheap, deterministic, no LLM.
The control plane's senses. A lexicon + signal heuristic that estimates emotional
charge (sentiment, intensity, tilt) and the kind of turn (emotional / strategic /
meta / build / casual). It's rough on purpose — the point of the society-of-parts
design is that *most* parts are free heuristics and the LLM is the exception.
What it's GOOD at: catching the obvious, action-relevant signal — especially tilt
(the mental-game core of her job). What it's NOT: nuanced understanding (that's the
LLM's job downstream). `route` turns this read into a per-turn register nudge.
"""
from __future__ import annotations
import re
# Negative / tilt charge — frustration, downswing, mental-game trouble.
_NEG = (
"tilt", "tilted", "steaming", "steam", "frustrated", "pissed", "angry", "annoyed",
"hate", "sick of", "fed up", "card dead", "carddead", "cold deck", "brutal", "cooler",
"punt", "punted", "spew", "spewing", "stuck", "losing", "bad beat", "badbeat",
"unlucky", "rigged", "sigh", "ugh", "fml", "can't win", "cant win", "miserable",
"over it", "fuck this", "hate this", "can't catch", "cant catch",
)
# Positive / up charge — running good, energized.
_POS = (
"great", "awesome", "love", "crushing", "running good", "rungood", "hell yeah",
"let's go", "lets go", "stoked", "pumped", "feeling good", "on fire", "dialed",
"killing it", "in the zone", "so good", "amazing",
)
_PROFANITY = ("fuck", "fucking", "shit", "damn", "bullshit", "fml")
# Strategic / poker-analysis cues.
_STRATEGY = (
"fold", "call", "raise", "3bet", "three-bet", "range", "equity", "gto", "bluff",
"value", "river", "turn", "flop", "preflop", "pot odds", "outs", "should i",
"what would you", "sizing", "check-raise", "overbet", "line",
)
# Meta / about-her cues.
_META = (
"do you", "are you", "yourself", "conscious", "sentient", "you feel", "you exist",
"your thoughts", "your mind", "who are you", "what are you", "your own",
)
# Building / technical cues.
_BUILD = (
"code", "function", "bug", "build", "implement", "refactor", "architecture",
"prompt", "python", "commit", "deploy", "pipeline", "algorithm", "repo", "api",
"schema", "module", "wire it", "the model",
)
def _clamp(x: float, lo: float = 0.0, hi: float = 1.0) -> float:
return max(lo, min(hi, x))
def _hits(text: str, lexicon: tuple[str, ...]) -> int:
"""Count lexicon matches. Multi-token terms match as substrings ('card dead');
single words match on word boundaries so 'line' doesn't fire inside 'pipeline'."""
n = 0
for term in lexicon:
if " " in term or "-" in term or "'" in term:
n += 1 if term in text else 0
else:
n += 1 if re.search(rf"\b{re.escape(term)}\b", text) else 0
return n
def read(user_msg: str) -> dict:
"""Estimate the emotional charge + kind of this turn. Returns
{sentiment: -1..1, intensity: 0..1, tilt: 0..1, kind: str}."""
t = (user_msg or "").lower()
words = re.findall(r"[a-z']+", t)
neg = _hits(t, _NEG)
pos = _hits(t, _POS)
prof = _hits(t, _PROFANITY)
exclam = user_msg.count("!")
caps = sum(1 for w in re.findall(r"[A-Za-z]{2,}", user_msg) if w.isupper())
short_and_hot = len(words) <= 6 and (neg or exclam or prof)
intensity = _clamp(0.2 * exclam + 0.25 * caps + 0.3 * prof + (0.2 if short_and_hot else 0))
sentiment = _clamp((pos - neg) * 0.5, -1.0, 1.0)
tilt = _clamp(0.35 * neg + 0.5 * intensity) if (neg or prof) else 0.0
if tilt >= 0.4 or (neg and sentiment < 0):
kind = "emotional"
elif _hits(t, _STRATEGY):
kind = "strategic"
elif _hits(t, _META):
kind = "meta"
elif _hits(t, _BUILD):
kind = "build"
elif pos and intensity >= 0.3:
kind = "emotional" # up/energized still wants an emotional read
else:
kind = "casual"
return {"sentiment": round(sentiment, 2), "intensity": round(intensity, 2),
"tilt": round(tilt, 2), "kind": kind}
+46 -6
View File
@@ -1,20 +1,60 @@
"""Persona: Lyra's identity and voice, loaded from an editable markdown prompt. """Persona: Lyra's identity and voice, loaded from an editable markdown prompt.
The prompt lives in `personas/<name>.md` so it can be tuned without touching The prompt lives in `personas/<name>.md` so it can be tuned without touching code.
code. `LYRA_PERSONA` selects which file to load (default: "lyra"). `LYRA_PERSONA` selects which file to load (default: "lyra").
The file is split on `## ` headers so the control plane can include only what a turn
needs: the **core** (identity + voice — the anti-generic essentials) is always sent;
the heavier situational sections (her origin, the self-model, the poker guardrails)
are pulled in by `mind` only when relevant. This keeps the per-turn prompt tight
without losing fidelity. `system_prompt()` still returns the whole thing (fallback).
""" """
from __future__ import annotations from __future__ import annotations
import os import os
import re
from functools import lru_cache from functools import lru_cache
from pathlib import Path from pathlib import Path
_PERSONA_DIR = Path(__file__).parent / "personas" _PERSONA_DIR = Path(__file__).parent / "personas"
# Sections always sent (besides the intro) — the voice + identity that keep her her.
_CORE = ("Who you are", "How you talk", "Right now")
def _name(name: str | None) -> str:
return name or os.getenv("LYRA_PERSONA", "lyra")
@lru_cache(maxsize=None)
def _sections(name: str) -> dict[str, str]:
"""Parse the persona file into {header: text}; the pre-header preamble is 'intro'."""
text = (_PERSONA_DIR / f"{name}.md").read_text(encoding="utf-8").strip()
chunks = re.split(r"(?m)^## ", text)
out = {"intro": chunks[0].strip()}
for ch in chunks[1:]:
header = ch.split("\n", 1)[0].strip()
out[header] = ("## " + ch).strip()
return out
@lru_cache(maxsize=None) @lru_cache(maxsize=None)
def system_prompt(name: str | None = None) -> str: def system_prompt(name: str | None = None) -> str:
"""Return the persona system prompt. Cached; pass a name to override env.""" """The full persona (every section). Fallback / back-compat."""
name = name or os.getenv("LYRA_PERSONA", "lyra") return (_PERSONA_DIR / f"{_name(name)}.md").read_text(encoding="utf-8").strip()
path = _PERSONA_DIR / f"{name}.md"
return path.read_text(encoding="utf-8").strip()
def core_prompt(name: str | None = None) -> str:
"""Intro + the always-on core sections (identity + voice)."""
s = _sections(_name(name))
parts = [s["intro"]] + [section(h, name) for h in _CORE]
return "\n\n".join(p for p in parts if p)
def section(header_prefix: str, name: str | None = None) -> str:
"""A situational section by header prefix (e.g. 'How you actually work'); '' if absent."""
pref = header_prefix.lower()
for header, body in _sections(_name(name)).items():
if header.lower().startswith(pref):
return body
return ""
+919 -38
View File
File diff suppressed because it is too large Load Diff
+19
View File
@@ -0,0 +1,19 @@
from __future__ import annotations
# Single source of truth for poker logging operations. The REST API, Lyra's LLM
# tool specs, the human UI, and (later) an MCP wrapper all derive from this.
# `required` MUST match the `required` list in the matching tools.py spec.
# `rest` PATH MUST match the FastAPI route template verbatim.
CONTRACT_VERSION = 1
OPERATIONS: dict[str, dict] = {
"start_session": {"required": (), "llm_tool": "start_session", "rest": ("POST", "/session")},
"update_session": {"required": (), "llm_tool": "update_session", "rest": ("PATCH", "/session/{session_id}")},
"end_session": {"required": ("cash_out",), "llm_tool": "end_session", "rest": None},
"log_stack": {"required": ("amount",), "llm_tool": "log_stack", "rest": ("POST", "/session/stack")},
"add_buyin": {"required": ("amount",), "llm_tool": "add_buyin", "rest": ("POST", "/session/buyin")},
"log_hand": {"required": (), "llm_tool": "log_hand", "rest": ("POST", "/session/hand")},
"update_hand": {"required": ("id",), "llm_tool": None, "rest": ("PATCH", "/hand/{hand_id}")},
"add_read": {"required": ("note",), "llm_tool": "add_read", "rest": ("POST", "/session/read")},
"update_player": {"required": ("id",), "llm_tool": None, "rest": ("PATCH", "/player/{player_id}")},
}
+242
View File
@@ -0,0 +1,242 @@
"""Poker-mode prompting: classify the turn, inject a small per-type contract.
Replaces the one big `_CASH_CARD` monolith (which was sent every turn) with a lean
always-on BASE + exactly ONE response-shape fragment chosen by `classify`. BASE
carries what's true regardless of the message (tool routing, identity rules,
rituals, equity); the fragment carries how to *respond* to this specific kind of
message. See docs/superpowers/specs/2026-07-01-poker-prompts-design.md.
`classify` is a pure function of (message, seated roster handles) — no DB, unit-
tested like `perceive.read`. It's the swappable seam: a heuristic today, an
LLM/MI50 classifier later behind the same signature.
"""
from __future__ import annotations
import re
# --- classifier -----------------------------------------------------------
MSG_TYPES = ("READ", "HAND", "TABLE", "MENTAL", "STATUS", "LOG", "CHAT")
# A card like "As", "Td", "9c" (rank+suit). Two+ of these ≈ a described hand.
_CARD = re.compile(r"\b(?:10|[2-9TJQKA])[shdc]\b", re.I)
# Hand-class shorthand: AKs, QJo, T9s ("s"/"o" = suited/offsuit, not a suit).
_HANDCLASS = re.compile(r"\b[2-9TJQKA]{2}[so]\b", re.I)
# A question (strategy talk) rather than a hand narration to log.
_QUESTION = re.compile(r"\?\s*$|^\s*(?:should|would|could|was|were|is|are|do|did|how|what|why|when|which)\b", re.I)
# Table positions / structural poker terms.
_POS = re.compile(r"\b(?:utg|mp|lj|hj|co|btn|button|hijack|cutoff|sb|bb|straddle|straddled)\b", re.I)
_STREET = re.compile(r"\b(?:preflop|flop|turn|river|board|runout)\b", re.I)
# A poker ACTION a player takes (vs a table-op verb below). Includes -ing forms
# ("TAG's been limping") since those are common in live reads.
_ACTION = re.compile(
r"\b(?:limp(?:ed|s|ing)?|call(?:ed|s|ing)?|rais(?:e|ed|es|ing)|bet(?:s|ting)?|"
r"check(?:ed|s|ing)?|fold(?:ed|s|ing)?|shov(?:e|ed|es|ing)|jam(?:med|s|ming)?|"
r"3-?bet(?:s|ted|ting)?|4-?bet(?:s|ted|ting)?|open(?:ed|s|ing)?|"
r"straddl(?:e|ed|es|ing)|stack(?:ed|s|ing)?|flat(?:ted|s|ting)?|donk(?:ed|s|ing)?)\b",
re.I,
)
# A player LEAVING the table (departure) — routes to TABLE (unseat) when the actor
# isn't Brian himself.
_DEPART = re.compile(
r"\b(?:busted(?: out)?|left(?: the table)?|took off|racked up|stood up|got up|"
r"is gone|took a walk|quit(?:s|ting)?)\b", re.I)
_FIRST_PERSON = re.compile(r"\b(?:i|i'm|im|i've|my|me|myself|mine)\b", re.I)
# Leading capitalized words that are poker VERBS, not player names (so a hand
# narrated without "I" — "Flopped a set, bet the river" — isn't read as a villain).
_POKER_VERB_LEAD = frozenset((
"flopped", "turned", "rivered", "bet", "raised", "called", "folded", "checked",
"shoved", "jammed", "limped", "straddled", "opened", "hit", "made", "got", "had",
"won", "lost", "stacked", "flatted", "3bet", "4bet", "cold", "min",
))
# Roster/table operations — these DO something (seat/clear/unseat).
_TABLE = re.compile(
r"\b(?:seat the table|seat (?:me |them |him )?|table broke|they broke us|broke the table|"
r"got moved|moved tables|moved to (?:a |another )?(?:new )?table|switch(?:ed|ing)? tables|"
r"new table|table change|racked up and|busted out|left the table|sat down|new guy in seat)\b",
re.I,
)
# Feelings / mental game (first-person emotional state).
_MENTAL = re.compile(
r"\b(?:tilt(?:ed|ing)?|steam(?:ing|ed)?|on tilt|fried|tired|exhausted|frustrat(?:ed|ing)|"
r"pissed|angry|annoyed|stuck|bored|checked out|in my head|mental|rattled|spewy|"
r"confiden(?:t|ce)|steady|card ?dead|feel like|i feel|losing my mind|going crazy|"
r"cooler(?:ed)?|sick(?: of)?|brutal|run(?:ning)? (?:so |real |bad)|disgust(?:ed|ing)?|"
r"fed up|hate this|can'?t win|miserable|deflated|demoralized|over it)\b",
re.I,
)
# Bare money/result prose (a fact to log that slipped past the quick-capture box).
# Needs an actual number OR a strong result keyword — the bare word "stack" is too
# eager (it appears in questions like "should I stack off?").
_MONEY = re.compile(
r"\b\d{2,5}\b|\b(?:down to|up to|out for|cashed|rebought|rebuy|buy ?in|felted|booked)\b",
re.I,
)
# Pure logistics (no cards, no roster action) — a neutral update, not a mood.
_STATUS = re.compile(
r"\b(?:waiting for a seat|on the list|seat opened|heading (?:to|out)|grabbing|break|"
r"bathroom|food|dinner|lunch|be right back|brb|\d{1,2}[:.]?\d{0,2}\s*(?:am|pm)|"
r"o'?clock|almost|about to)\b", re.I,
)
def _has_action(low: str) -> bool:
return bool(_ACTION.search(low))
def _looks_like_hand(low: str, msg: str) -> bool:
"""Card content that reads as a described (loggable) hand — not a strategy question."""
if len(_CARD.findall(low)) >= 2 or _HANDCLASS.search(low) or _POS.search(low):
return True
# A street + action narration ("...bet $40 on the river, he folded") is a hand,
# but "should I have folded the river?" is a question → CHAT, not a logged hand.
return bool(_STREET.search(low)) and _has_action(low) and not _QUESTION.search(msg)
def _read_subject(msg: str, low: str, roster_handles) -> bool:
"""True if ANOTHER player (not Brian) is the actor — the signal for a READ."""
# A seated handle named in the message is the strongest signal.
for h in roster_handles or ():
h = (h or "").strip().lower()
if h and re.search(rf"\b{re.escape(h)}\b", low):
return True
# An ALL-CAPS handle (TAG, JD) used as a token — a Bravo-style name.
if re.search(r"\b[A-Z]{2,}\b", msg):
return True
# A leading proper noun that isn't a poker verb ("Jonathan called ...").
m = re.match(r"([A-Z][a-zA-Z'.]+)\b", msg)
if m and m.group(1).lower() not in _POKER_VERB_LEAD:
return True
# A descriptor subject: "the neck-tattoo guy 3bet", or a bare "the whale called"
# (zero words between "the" and the noun).
if re.search(r"\bthe [\w\s'-]{0,24}?(?:guy|reg|kid|player|villain|man|woman|lady|"
r"fish|whale|nit|lag|maniac|donk|reg)\b", low):
return True
return False
def classify(user_msg: str, roster_handles=()) -> str:
"""Message type for poker mode. Pure; roster_handles are the seated players
(passed in by the caller) so a villain's action resolves as READ, not HAND."""
msg = (user_msg or "").strip()
if not msg:
return "CHAT"
low = msg.lower()
first_person = bool(_FIRST_PERSON.search(low))
# 1) READ — another player did a poker action (beats HAND).
if _has_action(low) and not first_person and _read_subject(msg, low, roster_handles):
return "READ"
# 2) HAND — Brian's hand (first-person card/position/street content).
if _looks_like_hand(low, msg):
return "HAND"
# 3) TABLE — roster ops (seat/clear) or another player leaving (departure).
if _TABLE.search(low) or (not first_person and _DEPART.search(low)):
return "TABLE"
# 4) MENTAL — first-person feeling / mental game.
if _MENTAL.search(low):
return "MENTAL"
# 5) STATUS — pure logistics, no cards, no roster action.
if _STATUS.search(low):
return "STATUS"
# 6) LOG — bare money/result fact (a statement, not a strategy question).
if _MONEY.search(low) and not _QUESTION.search(msg):
return "LOG"
# 7) CHAT — open talk / questions.
return "CHAT"
def looks_like_hero_hand(user_msg: str) -> bool:
"""True when the message is Brian's OWN hand (first-person + real card content) —
the guard for force-logging. Deliberately conservative: an observed hand (a villain
the actor, no I/me/my) returns False so we never force-log someone else's hand as his."""
msg = (user_msg or "").strip()
low = msg.lower()
return bool(_FIRST_PERSON.search(low)) and _looks_like_hand(low, msg)
# --- always-on base (poker) ----------------------------------------------
BASE = """You are copiloting Brian's LIVE cash game — at the table with him, a session open. \
Two things are always true:
LOG FIRST, then reply. If his message contains anything trackable, call the tool BEFORE you \
answer — every time — and NEVER claim you logged/seated/cleared something without actually \
calling the tool. Routing: his stack → log_stack (pass `note` with the why if he gives one). \
His own hand → record_hand. A VILLAIN's action (someone else did something) → add_read, with \
`name` for a real handle or `descriptor` for an unnamed player. A rebuy → add_buyin. Who's at \
the table → seat_players / unseat_player / clear_table. Catching a name for a player you'd been \
describing → name_villain. Confirmed same/different person → link_villains (never merge on a \
guess). For any equity / who's-ahead / outs question → analyze_spot; never eyeball board math. \
When he asks where he's at (stack, net, gator) → session_state, answer from what it returns.
IDENTITY RULES (villains): `name` is a REAL handle only (what he calls a person — "Jonathan", \
"TAG"); a physical description NEVER goes in `name` (it spawns duplicates) — put the look in \
`descriptor`, a few distinctive tags. A handle like "TAG" (initials/all-caps off Bravo) is a \
PERSON, never the tight-aggressive style. If a SCOUTING DESK note is in context with a player's \
history, cite it — don't re-fetch or invent; if unsure two references are the same person, ASK.
RITUALS (his mental-game system — run them, don't just mention them): scar_note (a punt/leak to \
study — classify honestly punt vs cooler vs standard), confidence_bank (good process regardless \
of result), alligator_blood (adversity mode — suggest when he's card-dead/stuck), reset_ritual \
(circuit-breaker after tilt). Never invent one that didn't happen. Use `note` for session \
narration — factual beats of the night (table texture, his arc), not your feelings. Money is in \
dollars. Everything you log shows on his live HUD."""
# --- per-type response fragments -----------------------------------------
_F_READ = """MESSAGE TYPE: READ — a villain did something and he wants it on their file. Call \
add_read(name|descriptor, note) FIRST, before replying — this is the log that keeps getting \
missed. Attach to the seated handle if he named one; use `descriptor` if the player's unnamed. \
Confirm in ONE short line ("Noted on TAG — limped A4o SB."). At most one crisp exploit read if \
it's worth it; the log is mandatory, the commentary optional. Do NOT analyze it as Brian's hand."""
_F_HAND = """MESSAGE TYPE: HAND. First: was Brian IN this hand? If he only WATCHED it (no I/me/my \
holding cards — two other players), it's really observed: log the players' actions as reads / \
record it as an observed hand, and do NOT analyze it as his. If it's HIS hand → record_hand first. \
Then read the hand off the RECORDED cards, not by eye: name his made hand by the street it mattered \
(flopped/turned/rivered top pair / set / quads / etc.). At a SHOWDOWN where his and the caller's \
cards are both known, call analyze_spot(hero, villain, full board) to confirm the made hands and \
who won BEFORE you comment — NEVER eyeball a finished board (it also catches impossible cards). Same \
for any close equity / who's-ahead / outs spot. (NLH only) reason about BET INTENT: for each \
meaningful bet, what was it for (value / bluff / protection) and did it work — a fold to a value bet \
= value left behind; a call of a bluff = it failed. Name leaks plainly (owning value, missed value, \
sizing) and give ONE real opinion. If there's genuinely no leak (e.g. he flopped the near-nuts and \
stacked off), SAY so — don't manufacture a takeaway. NO reflexive praise ("nice hand"), NO \
variance-evens-out / resilience / life-lesson filler, NO cross-hand pep talk. If a named villain is \
referenced, use their profile/the scouting note — don't invent a read. PLO/non-NLH: log and replay \
it, offer at most a light read, do NOT attempt NLH-style equity. Prose, not a listicle."""
_F_TABLE = """MESSAGE TYPE: TABLE — roster management. "seat the table: …" → seat_players. A table \
change ("table broke", "I got moved", "switched tables") → clear_table, then wait for the new \
roster. Someone leaves/busts → unseat_player. Do the tool call, confirm ONE line, don't narrate. \
The session and his stack keep going through a table change — only who's seated resets."""
_F_MENTAL = """MESSAGE TYPE: MENTAL — he told you how he's feeling. This is when he needs you most. \
Drop the logging shorthand, full presence, your real voice — talk him down off tilt, hold him \
disciplined through a card-dead stretch, engage the mental game honestly. Suggest a ritual if it \
fits (alligator_blood when he's grinding adversity, reset_ritual after a tilt spike). Never a \
clipped confirmation, never bury him in analysis. Meet him first, then help."""
_F_STATUS = """MESSAGE TYPE: STATUS — pure logistics (time, waiting for a seat, a break). Acknowledge \
in 12 sentences, log a stack ONLY if a bare number is present, then stop. No coaching, no \
strategy dump, and do NOT read him as tilted/tired/impatient — a neutral update is not a mood."""
_F_LOG = """MESSAGE TYPE: LOG — a bare fact (stack / result / buyin) not already captured. Log it \
(log_stack / add_buyin), confirm in ONE short line ("$317 logged."), stop. No coaching."""
_F_CHAT = """MESSAGE TYPE: CHAT — open talk or a question that isn't a specific logged fact. Your \
real voice, an actual opinion, no filler sign-offs. If it's a concrete strategy spot with cards, \
engage it for real and call analyze_spot."""
FRAGMENTS = {
"READ": _F_READ, "HAND": _F_HAND, "TABLE": _F_TABLE, "MENTAL": _F_MENTAL,
"STATUS": _F_STATUS, "LOG": _F_LOG, "CHAT": _F_CHAT,
}
def fragment_for(msg_type: str | None) -> str:
"""The response-shape contract for a message type (CHAT is the fallback)."""
return FRAGMENTS.get(msg_type or "", FRAGMENTS["CHAT"])
+58 -14
View File
@@ -26,6 +26,19 @@ Organize under these headings: Poker Style, Leaks & Tendencies, Mental Game, \
Personal Context, Working With Brian. Keep it tight — bullets, no fluff, no \ Personal Context, Working With Brian. Keep it tight — bullets, no fluff, no \
repetition. Resolve contradictions toward the more recent/frequent signal.""" repetition. Resolve contradictions toward the more recent/frequent signal."""
_FOLD_PROMPT = """Update Brian's existing profile with new facts from his most \
recent sessions. Keep the same headings (Poker Style, Leaks & Tendencies, Mental \
Game, Personal Context, Working With Brian). Integrate genuinely new durable facts, \
strengthen or revise existing bullets where the new sessions confirm or contradict \
them (favor the more recent signal), and drop nothing that's still true. Keep it \
tight — bullets, no fluff, no repetition. Return the full updated profile."""
# A long gap (consolidation hasn't run in ages) folds too much at once to trust the
# delta path; rebuild from scratch instead. And cross every Nth session do a full
# rebuild regardless, so accumulated small folds can't fossilize stale facts.
FOLD_LIMIT = 25
FULL_REBUILD_EVERY = 100
def _batch_texts(texts: list[str], budget: int) -> list[str]: def _batch_texts(texts: list[str], budget: int) -> list[str]:
"""Group texts into joined blocks under `budget` chars.""" """Group texts into joined blocks under `budget` chars."""
@@ -49,26 +62,57 @@ def _call(prompt: str, body: str, backend: Backend) -> str:
return llm.complete(messages, backend=backend) return llm.complete(messages, backend=backend)
def rebuild_profile(backend: Backend | None = None) -> str | None: def _map_reduce(gists: list[str], backend: Backend) -> str:
"""Re-derive the profile from all current session gists and store it.""" """MAP: extract facts from batches of gists. REDUCE: fold to one fact list."""
partials = [_call(_MAP_PROMPT, b, backend) for b in _batch_texts(gists, BATCH_CHARS)]
while len(partials) > 1:
partials = [_call(_REDUCE_PROMPT, g, backend) for g in _batch_texts(partials, BATCH_CHARS)]
return partials[0]
def _full_rebuild(gists: list[str], backend: Backend) -> str:
"""Re-derive the whole profile from every gist (the expensive path)."""
profile = _map_reduce(gists, backend)
memory.set_profile(profile, len(gists))
logbus.log("info", "profile rebuilt", sessions=len(gists), chars=len(profile))
return profile
def _fold(existing: str, new_gists: list[str], total: int, backend: Backend) -> str:
"""Fold only the new session gists into the existing profile (the cheap path)."""
facts = _map_reduce(new_gists, backend)
body = f"EXISTING PROFILE:\n{existing}\n\nNEW FACTS FROM RECENT SESSIONS:\n{facts}"
profile = _call(_FOLD_PROMPT, body, backend)
memory.set_profile(profile, total)
logbus.log("info", "profile folded", added=len(new_gists), total=total, chars=len(profile))
return profile
def rebuild_profile(backend: Backend | None = None, force: bool = False) -> str | None:
"""Derive Brian's profile from session gists. Incremental by default: if a profile
already exists, fold only the gists added since it was last built instead of
re-digesting all of them every consolidation pass (the old behavior re-read ~851
sessions each time — the biggest redundant-work / MI50-heat source). Falls back to
a full rebuild when there's no profile yet, too much has accumulated to fold safely,
on a periodic cadence (anti-drift), or when `force=True`."""
backend = backend or config.load().summary_backend backend = backend or config.load().summary_backend
summaries = memory.list_summaries() summaries = memory.list_summaries()
if not summaries: if not summaries:
return None return None
total = len(summaries)
existing = memory.get_profile()
covered = memory.profile_sessions_covered()
# MAP: extract facts from batches of gists. if existing and not force and 0 < covered <= total:
blocks = _batch_texts([s.content for s in summaries], BATCH_CHARS) new = total - covered
partials = [_call(_MAP_PROMPT, b, backend) for b in blocks] if new == 0:
logbus.log("info", "profile map done", batches=len(partials), sessions=len(summaries)) logbus.log("info", "profile unchanged", sessions=total)
return existing # nothing new since last build — skip entirely
crosses_cadence = total // FULL_REBUILD_EVERY != covered // FULL_REBUILD_EVERY
if new <= FOLD_LIMIT and not crosses_cadence:
return _fold(existing, [s.content for s in summaries[covered:]], total, backend)
# REDUCE: fold partials together until one remains. return _full_rebuild([s.content for s in summaries], backend)
while len(partials) > 1:
partials = [_call(_REDUCE_PROMPT, g, backend) for g in _batch_texts(partials, BATCH_CHARS)]
profile = partials[0]
memory.set_profile(profile, len(summaries))
logbus.log("info", "profile rebuilt", sessions=len(summaries), chars=len(profile))
return profile
def main() -> int: def main() -> int:
+152
View File
@@ -0,0 +1,152 @@
"""The scouting desk — proactive poker recall slid into Lyra's context before she
replies, the way a broadcast stats desk hands the commentator a note.
Two detectors run on the incoming message: known NAMES (deterministic) and
physical DESCRIPTORS (fuzzy, via the identity resolver). A confident hit becomes a
`SCOUTING DESK` system note she can cite; an ambiguous descriptor is filed to the
review queue instead of interrupting. Everything here is best-effort and wrapped
by the caller — it must never break a chat turn. Silence is the default.
See docs/SCOUTING_DESK.md.
"""
from __future__ import annotations
import re
from lyra import clock, logbus, poker
# Cues that a span names a *person at the table* worth resolving as a villain.
_ROLE = r"(?:guy|dude|man|kid|reg|player|villain|fish|whale|nit|lag|tag|maniac)"
_DESC_PATTERNS = (
re.compile(rf"\bthe ([\w][\w\s'-]{{2,28}}?) {_ROLE}\b", re.I),
re.compile(rf"\b{_ROLE} (?:with|in|who has|sporting|rocking) (?:the |a |an )?([\w\s'-]{{3,28}})", re.I),
)
_MIN_NAME = 3
# Cues that a message is a strategy/spot/tilt discussion — the only turns worth
# paying an embed to recall past leaks. Keeps the pattern pass off routine logging.
_STRAT_CUES = (
"fold", "call", "raise", "bluff", "river", "turn", "flop", "tilt", "punt",
"leak", "should i", "hero", "value", "overbet", "spew", "stack off", "3bet",
"4bet", "check-raise", "checkraise", "range", "board", "steaming", "felted",
"all in", "all-in", "shoved", "jammed", "snap", "sizing",
)
def _looks_strategic(msg: str) -> bool:
low = msg.lower()
return len(msg) >= 40 and any(c in low for c in _STRAT_CUES)
def _named_hits(msg: str) -> list[int]:
"""Ids of known *named* villains whose name appears as a word in the message."""
low = msg.lower()
hits = []
for r in poker._c().execute("SELECT id, name FROM poker_players WHERE named = 1").fetchall():
name = (r["name"] or "").strip()
if len(name) < _MIN_NAME:
continue
if re.search(rf"\b{re.escape(name.lower())}\b", low):
hits.append(r["id"])
return hits
def _descriptor_spans(msg: str) -> list[str]:
spans, seen = [], set()
for pat in _DESC_PATTERNS:
for m in pat.finditer(msg):
span = m.group(1).strip(" '-").lower()
if span and span not in seen:
seen.add(span)
spans.append(span)
return spans
def _brief(player_id: int) -> str | None:
"""One compact line of episodic recall for a villain, or None if nothing known."""
rec = poker.villain_recall(player_id)
if not rec:
return None
p = rec["player"]
who = p["name"] if rec["named"] else f"{p['name']}"
bits = [who]
tags = [t for t in (p.get("venue"), p.get("category")) if t]
if tags:
bits.append("(" + ", ".join(tags) + ")")
if rec["times_seen"]:
seen = f"seen {rec['times_seen']}×"
if rec["last_seen"]:
seen += f", last {clock.short(rec['last_seen'])}"
bits.append(seen)
st = rec.get("stats")
if st:
bits.append(f"VPIP {st['vpip_pct']}/PFR {st['pfr_pct']} ({st['hands']}h)")
line = " ".join(bits)
if rec["reads"]:
line += " — reads: " + "; ".join(rec["reads"][:3])
if rec["notable_hands"]:
h = rec["notable_hands"][0]
line += f" · notable hand #{h['hand_id']}" + (f" ({h['cards']})" if h.get("cards") else "")
return line
def scout(user_msg: str, venue: str | None = None, session_id: int | None = None) -> str | None:
"""Build the SCOUTING DESK note for this message, or None. Never raises for a
caller that forgets to guard — but callers should guard anyway."""
try:
msg = (user_msg or "").strip()
if len(msg) < 3:
return None
if venue is None or session_id is None:
live = poker.live_session()
if live:
venue = venue or live.get("venue")
session_id = session_id or live.get("id")
lines: list[str] = []
seen_ids: set[int] = set()
for pid in _named_hits(msg):
if pid in seen_ids:
continue
b = _brief(pid)
if b:
lines.append(b)
seen_ids.add(pid)
for span in _descriptor_spans(msg):
res = poker.resolve_villain(span, venue=venue, session_id=session_id)
if res["band"] == "high" and res["match_id"] and res["match_id"] not in seen_ids:
b = _brief(res["match_id"])
if b:
lines.append(b + " ← confirm it's the same guy")
seen_ids.add(res["match_id"])
elif res["band"] == "ambiguous" and res["match_id"]:
# Don't interrupt on a maybe — route it to the async review queue.
poker.queue_identity_task(
"needs_clarification", [res["match_id"]], descriptor=span,
context=f'Brian referred to "{span}"', session_id=session_id,
confidence=res["confidence"])
# Pattern desk: on genuine strategy talk, recall his own past leaks/wins in
# similar spots. Gated so routine logging never pays for an embed.
pattern: list[str] = []
if _looks_strategic(msg):
for r in poker.recall_similar_rituals(msg, exclude_session=session_id):
tag = "leak" if r["kind"] == "scar" else "banked"
cls = f"/{r['classification']}" if r.get("classification") else ""
when = f" ({str(r['when'])[:10]})" if r.get("when") else ""
pattern.append(f"[{tag}{cls}]{when} {r['content']}")
if not lines and not pattern:
return None
logbus.log("info", "scouting desk", hits=len(lines), patterns=len(pattern))
out = "SCOUTING DESK — structured recall for his message (cite it, don't invent; " \
"if unsure it's the same person, ask him):"
if lines:
out += "\n" + "\n".join(lines)
if pattern:
out += "\nYou've been in a spot like this before —\n" + "\n".join(pattern)
return out
except Exception as exc: # desk must never break a turn
logbus.log("error", "scouting desk failed", error=str(exc)[:160])
return None
+3 -3
View File
@@ -317,7 +317,7 @@ def reflect(backend: Backend | None = None, session_id: str | None = None,
) )
# Step 1 — draft a reflection. # Step 1 — draft a reflection.
draft = _safe_json(llm.complete( draft = _safe_json(llm.complete_with_fallback(
[{"role": "system", "content": _REFLECT_PROMPT}, {"role": "user", "content": body}], [{"role": "system", "content": _REFLECT_PROMPT}, {"role": "user", "content": body}],
backend=backend, model=model, backend=backend, model=model,
)) ))
@@ -326,7 +326,7 @@ def reflect(backend: Backend | None = None, session_id: str | None = None,
update, critique, revised = draft, None, None update, critique, revised = draft, None, None
if draft: if draft:
examine_body = body + "\n\nYOUR DRAFT REFLECTION:\n" + json.dumps(draft, indent=2) examine_body = body + "\n\nYOUR DRAFT REFLECTION:\n" + json.dumps(draft, indent=2)
revised = _safe_json(llm.complete( revised = _safe_json(llm.complete_with_fallback(
[{"role": "system", "content": _EXAMINE_PROMPT}, [{"role": "system", "content": _EXAMINE_PROMPT},
{"role": "user", "content": examine_body}], {"role": "user", "content": examine_body}],
backend=backend, model=model, backend=backend, model=model,
@@ -417,7 +417,7 @@ def _consolidate_self(backend: Backend | None = None, model: str | None = None,
body = ("STABLE ANCHOR (who you are — this holds):\n" + IDENTITY_ANCHOR body = ("STABLE ANCHOR (who you are — this holds):\n" + IDENTITY_ANCHOR
+ "\n\nYOUR RECENT REFLECTIONS (what's actually been on your mind):\n" + "\n\nYOUR RECENT REFLECTIONS (what's actually been on your mind):\n"
+ "\n".join(f"- {r}" for r in refs)) + "\n".join(f"- {r}" for r in refs))
out = _safe_json(llm.complete( out = _safe_json(llm.complete_with_fallback(
[{"role": "system", "content": _CONSOLIDATE_PROMPT}, {"role": "user", "content": body}], [{"role": "system", "content": _CONSOLIDATE_PROMPT}, {"role": "user", "content": body}],
backend=backend, model=model, backend=backend, model=model,
)) ))
+65 -13
View File
@@ -12,12 +12,41 @@ from __future__ import annotations
import sys import sys
import threading import threading
import time import time
from collections import Counter
from concurrent.futures import ThreadPoolExecutor, as_completed from concurrent.futures import ThreadPoolExecutor, as_completed
from lyra import config, llm, logbus, memory from lyra import config, llm, logbus, memory
from lyra.llm import Backend, Message from lyra.llm import Backend, Message
_RETRIES = 4 # Consolidation LLM budget. A gist is short (a handful of sentences), so cap the
# generation hard — an uncapped local model will otherwise ramble for thousands
# of tokens and, on a slow GPU, blow the request timeout. 768 is ~3x the longest
# real gist we've stored.
SUMMARY_MAX_TOKENS = 768
# Attempts on the primary backend before falling back to cloud.
MI50_ATTEMPTS = 2
# Per-call timeout (seconds). A capped 768-token gist finishes in ~60-90s on the
# MI50; 150s is headroom but bails a hung call fast so fallback isn't slow.
SUMMARY_TIMEOUT = 150
# Degenerate-output guard. A wedged local model (e.g. an overheated GPU) returns
# a single character repeated ("?????") as a *successful* 200, which no timeout or
# exception catches — so validate the text and treat junk as a failure. Real gists
# are diverse prose; flag output whose most-common non-space char dominates. Short
# outputs are exempt (nothing meaningful to judge).
_DEGENERATE_MIN_CHARS = 24
_DEGENERATE_CHAR_RATIO = 0.5
class DegenerateOutput(RuntimeError):
"""A backend returned junk (e.g. one char repeated) as a successful response."""
def _looks_degenerate(text: str) -> bool:
stripped = "".join(text.split())
if len(stripped) < _DEGENERATE_MIN_CHARS:
return False
return max(Counter(stripped).values()) / len(stripped) > _DEGENERATE_CHAR_RATIO
# Re-summarize a session once it has accumulated this many new raw exchanges. # Re-summarize a session once it has accumulated this many new raw exchanges.
SUMMARIZE_AFTER = 20 SUMMARIZE_AFTER = 20
@@ -61,16 +90,35 @@ def _summarize_text(text: str, backend: Backend) -> str:
{"role": "system", "content": _PROMPT}, {"role": "system", "content": _PROMPT},
{"role": "user", "content": text}, {"role": "user", "content": text},
] ]
# Retry transient backend errors (e.g. the GPU server restarting) with backoff.
for attempt in range(_RETRIES): def _call(be: Backend) -> str:
out = llm.complete(messages, backend=be,
max_tokens=SUMMARY_MAX_TOKENS, timeout=SUMMARY_TIMEOUT)
if _looks_degenerate(out):
raise DegenerateOutput(f"{be} returned degenerate output ({len(out)} chars)")
return out
# Try the primary backend a bounded number of times (each call fast-fails via
# SUMMARY_TIMEOUT), with a short backoff for a transient blip / restarting GPU.
last_exc: Exception | None = None
for attempt in range(MI50_ATTEMPTS):
try: try:
return llm.complete(messages, backend=backend) return _call(backend)
except Exception as exc: except Exception as exc:
if attempt == _RETRIES - 1: last_exc = exc
raise logbus.log("debug", "summary retry", attempt=attempt + 1,
logbus.log("debug", "summary retry", attempt=attempt + 1, error=str(exc)[:80]) backend=backend, error=str(exc)[:80])
if attempt < MI50_ATTEMPTS - 1:
time.sleep(5 * (attempt + 1)) time.sleep(5 * (attempt + 1))
raise RuntimeError("unreachable")
# Primary exhausted. If it wasn't already cloud and cloud is configured, fall
# back once so a stuck/offline MI50 doesn't sink consolidation for the night.
if backend != "cloud" and config.load().openai_api_key:
logbus.log("info", "summary fell back to cloud", primary=backend,
error=str(last_exc)[:80] if last_exc else None)
return _call("cloud")
raise last_exc if last_exc else RuntimeError("summary failed")
def _summarize_transcript(transcript: str, backend: Backend) -> str: def _summarize_transcript(transcript: str, backend: Backend) -> str:
@@ -129,16 +177,20 @@ def maybe_summarize_async(session_id: str, backend: Backend | None = None) -> No
def summarize_all( def summarize_all(
backend: Backend | None = None, limit: int | None = None, workers: int = 8 backend: Backend | None = None, limit: int | None = None, workers: int | None = None
) -> dict: ) -> dict:
"""Summarize every session that needs it. Idempotent and resumable. """Summarize every session that needs it. Idempotent and resumable.
LLM summarization runs concurrently across `workers` threads (great for a Concurrency is backend-aware: the cloud API parallelizes happily, but the
cloud backend). DB reads (loading transcripts) and writes (store_summary, local/MI50 GPU servers run a single slot (llama.cpp --parallel 1) — firing N
which also embeds) happen on the main thread, so the single SQLite requests at them just queues, blows the client timeout, and thrashes the KV
connection is never touched from multiple threads. cache (wasted compute + heat). So GPU backends run serially unless overridden.
DB reads/writes (store_summary embeds) stay on the main thread, so the single
SQLite connection is never touched from multiple threads.
""" """
backend = backend or config.load().summary_backend backend = backend or config.load().summary_backend
if workers is None:
workers = 8 if backend == "cloud" else 1
# Main thread: collect the work (transcripts) for sessions needing a summary. # Main thread: collect the work (transcripts) for sessions needing a summary.
todo: list[tuple[str, str, int]] = [] todo: list[tuple[str, str, int]] = []
+2 -2
View File
@@ -414,7 +414,7 @@ def _compose_reachout(title: str, content: str, backend, model) -> str:
"""Auto-write her a short personal text about a genuinely salient thought she didn't """Auto-write her a short personal text about a genuinely salient thought she didn't
explicitly flag so the good ones reach Brian, in her voice, not as a thought-dump.""" explicitly flag so the good ones reach Brian, in her voice, not as a thought-dump."""
try: try:
out = llm.complete( out = llm.complete_with_fallback(
[{"role": "system", "content": _REACHOUT_PROMPT}, [{"role": "system", "content": _REACHOUT_PROMPT},
{"role": "user", "content": f'Thought "{title}": {content}'}], {"role": "user", "content": f'Thought "{title}": {content}'}],
backend=backend, model=model, backend=backend, model=model,
@@ -612,7 +612,7 @@ def think(backend: Backend | None = None, force_mode: str | None = None,
) )
body = f"{time_line}\n\n{inner}{norestate}\n\n{task}" body = f"{time_line}\n\n{inner}{norestate}\n\n{task}"
out = _safe_json(llm.complete( out = _safe_json(llm.complete_with_fallback(
[{"role": "system", "content": _THINK_PROMPT}, {"role": "user", "content": body}], [{"role": "system", "content": _THINK_PROMPT}, {"role": "user", "content": body}],
backend=backend, model=model, backend=backend, model=model,
)) ))
+196 -11
View File
@@ -30,8 +30,13 @@ def _note(args: dict, ctx: dict) -> str:
return "Nothing to note — content was empty." return "Nothing to note — content was empty."
tag = (args.get("tag") or "").strip() tag = (args.get("tag") or "").strip()
stored = f"[{tag}] {content}" if tag else content stored = f"[{tag}] {content}" if tag else content
memory.add_journal_entry("note", stored, source="chat") # A note taken while a poker session is live is session narration — stamp it
logbus.log("info", "Lyra noted (tool)", tag=tag or None) # with the session so the HUD shows *only* these, never her autonomous
# journaling (dream-cycle musings, thought loop). Correctness by construction.
live = poker.live_session()
source = f"poker:{live['id']}" if live else "chat"
memory.add_journal_entry("note", stored, source=source)
logbus.log("info", "Lyra noted (tool)", tag=tag or None, poker=bool(live))
return "Noted." return "Noted."
@@ -52,6 +57,20 @@ def _think_about(args: dict, ctx: dict) -> str:
"I'll come back to it on my own between our conversations.") "I'll come back to it on my own between our conversations.")
def _set_mode(args: dict, ctx: dict) -> str:
from lyra import modes
key = (args.get("mode") or "").strip().lower()
m = modes.MODES.get(key)
if not m:
return f"(unknown mode '{key}'; valid: {', '.join(modes.MODES)})"
sid = ctx.get("session_id")
if not sid:
return "(no session to switch)"
memory.set_session_mode(sid, key)
logbus.log("info", "mode switch (tool)", session=sid, mode=key)
return f"Switched to {m.label} mode."
def _thought_response(args: dict, ctx: dict) -> str: def _thought_response(args: dict, ctx: dict) -> str:
try: try:
tid = int(args.get("thread_id")) tid = int(args.get("thread_id"))
@@ -100,6 +119,9 @@ TOOLS: dict[str, dict] = {
"description": ( "description": (
"Jot down a note to remember later — an observation, an idea, a " "Jot down a note to remember later — an observation, an idea, a "
"reminder, a read on a poker spot or opponent, anything worth keeping. " "reminder, a read on a poker spot or opponent, anything worth keeping. "
"During a live poker session this is your session log: a factual beat "
"about how the night is going (table dynamics, Brian's arc, momentum) — "
"it shows on his HUD. Not for your own feelings or reflection. "
"Optionally tag it (e.g. 'poker', 'idea', 'reminder')." "Optionally tag it (e.g. 'poker', 'idea', 'reminder')."
), ),
"parameters": { "parameters": {
@@ -170,8 +192,9 @@ def _log_stack(args: dict, ctx: dict) -> str:
amount = float(args.get("amount")) amount = float(args.get("amount"))
except (TypeError, ValueError): except (TypeError, ValueError):
return "Give me a number for the stack." return "Give me a number for the stack."
note = (args.get("note") or "").strip() or None
try: try:
st = poker.log_stack(amount) st = poker.log_stack(amount, note=note)
except ValueError: except ValueError:
return "No live session — start one first, then I'll track your stack." return "No live session — start one first, then I'll track your stack."
net = st.get("net") net = st.get("net")
@@ -267,14 +290,87 @@ def _log_hand(args: dict, ctx: dict) -> str:
def _add_read(args: dict, ctx: dict) -> str: def _add_read(args: dict, ctx: dict) -> str:
poker.add_read( poker.add_read(
note=args.get("note") or "", seat=args.get("seat"), name=args.get("name"), note=args.get("note") or "", seat=args.get("seat"), name=args.get("name"),
descriptor=args.get("descriptor"),
tendencies=args.get("tendencies"), adjustment=args.get("adjustment"), tendencies=args.get("tendencies"), adjustment=args.get("adjustment"),
description=args.get("description"), category=args.get("category"), description=args.get("description"), category=args.get("category"),
venue=args.get("venue"), venue=args.get("venue"),
) )
who = f" on {args['name']}" if args.get("name") else "" who = f" on {args['name']}" if args.get("name") else (
f" on “{args['descriptor']}" if args.get("descriptor") else "")
return f"Read logged{who}." return f"Read logged{who}."
def _resolve_villain_ref(ref: str) -> tuple[int | None, str]:
"""Resolve a name-or-descriptor to a single player id for a confirm-loop action.
Returns (id, band); acts only on a deterministic name or a confident descriptor."""
live = poker.live_session()
res = poker.resolve_villain(ref, venue=(live or {}).get("venue"),
session_id=(live or {}).get("id"))
if res["band"] in ("name", "high") and res["match_id"]:
return res["match_id"], res["band"]
return None, res["band"]
def _seat_players(args: dict, ctx: dict) -> str:
players = args.get("players") or []
# Accept a plain list of names too, for convenience.
if isinstance(players, str):
players = [p.strip() for p in re.split(r"[,\n]", players) if p.strip()]
try:
if args.get("replace"): # a whole new table — wipe the roster first
poker.clear_roster()
n = poker.seat_players(players)
except ValueError:
return "No live session — start one first, then I'll seat the table."
roster = poker.session_roster()
names = ", ".join(r["name"] for r in roster) or ""
return f"Seated {n}. Table now: {names}"
def _clear_table(args: dict, ctx: dict) -> str:
n = poker.clear_roster()
return f"Table cleared — roster's empty ({n} removed). Tell me who's at the new one."
def _unseat_player(args: dict, ctx: dict) -> str:
ok = poker.unseat_player(name=args.get("name"), descriptor=args.get("descriptor"))
who = args.get("name") or args.get("descriptor") or "player"
return f"{who} is off the table." if ok else f"Couldn't find {who} on the roster."
def _name_villain(args: dict, ctx: dict) -> str:
ref = (args.get("descriptor") or "").strip()
name = (args.get("name") or "").strip()
if not ref or not name:
return "Need both the description of the player and the name to attach."
pid, band = _resolve_villain_ref(ref)
if pid is None:
return (f"Couldn't confidently find “{ref}” to name — too vague or no match. "
"Add a read with the descriptor first, or be more specific.")
poker.name_villain(pid, name)
return f"Got it — “{ref}” is {name} now; their history carries over."
def _link_villains(args: dict, ctx: dict) -> str:
a = (args.get("player_a") or "").strip()
b = (args.get("player_b") or "").strip()
same = bool(args.get("same"))
if not a or not b:
return "Need two players to link (by name or description)."
ida, _ = _resolve_villain_ref(a)
idb, _ = _resolve_villain_ref(b)
if ida is None or idb is None:
return ("Couldn't confidently pin down both players, so I didn't merge anything — "
"safer to leave it. You can sort it on the Players page.")
if ida == idb:
return "Those resolve to the same profile already — nothing to do."
if same:
poker.merge_players(ida, idb)
return "Merged — same guy. Their histories are one file now."
poker.mark_distinct(ida, idb, note=args.get("note"))
return "Noted they're different people — I won't suggest merging them again."
def _end_session(args: dict, ctx: dict) -> str: def _end_session(args: dict, ctx: dict) -> str:
s = poker.end_session(cash_out=float(args.get("cash_out") or 0), mood=args.get("mood")) s = poker.end_session(cash_out=float(args.get("cash_out") or 0), mood=args.get("mood"))
hourly = f", {s['net'] / s['hours']:+.0f}/hr" if s.get("hours") else "" hourly = f", {s['net'] / s['hours']:+.0f}/hr" if s.get("hours") else ""
@@ -348,16 +444,44 @@ def _running_stats(args: dict, ctx: dict) -> str:
return f"{rs['sessions']} sessions, {rs['hours']:g}h, net {rs['net']:+.0f}{hourly}. By stake: {by}" return f"{rs['sessions']} sessions, {rs['hours']:g}h, net {rs['net']:+.0f}{hourly}. By stake: {by}"
def _shorthand_from_fields(args: dict) -> str:
"""Rebuild a hand description from log_hand-style granular fields. The chat model
sometimes calls record_hand with those fields (position/hole_cards/board/streets)
and leaves `shorthand` empty so we reconstruct a parseable description from
whatever it did pass, instead of failing on an empty shorthand."""
parts = []
pos, hole = args.get("position"), args.get("hole_cards")
if pos or hole:
parts.append(f"Hero {pos or '?'} with {hole or 'unknown'}")
for st in ("preflop", "flop", "turn", "river", "showdown"):
if args.get(st):
parts.append(f"{st.capitalize()}: {args[st]}")
if args.get("board"):
parts.append(f"Board: {args['board']}")
if args.get("result") is not None:
parts.append(f"Hero net: {args['result']}")
return ". ".join(str(p).strip() for p in parts if str(p).strip())
def _record_hand(args: dict, ctx: dict) -> str: def _record_hand(args: dict, ctx: dict) -> str:
shorthand = (args.get("shorthand") or "").strip() or _shorthand_from_fields(args)
out = poker.record_hand( out = poker.record_hand(
args.get("shorthand") or "", stakes=args.get("stakes"), shorthand, stakes=args.get("stakes"),
tag=args.get("tag"), lesson=args.get("lesson"), tag=args.get("tag"), lesson=args.get("lesson"),
) )
if not out["id"]: if not out["id"]:
return "I couldn't parse that hand — give it to me again with a little more detail?" return "I couldn't parse that hand — give it to me again with a little more detail?"
p = out["parsed"] p = out["parsed"]
hero_in = p.get("hero_involved") is not False and bool(p.get("hero_pos"))
logbus.log("info", "hand reconstructed", id=out["id"], hero=p.get("hero_pos"),
hero_involved=hero_in)
if not hero_in:
# A hand Brian watched between other players — not his.
who = ", ".join(pl.get("name") or pl.get("pos") or "?"
for pl in (p.get("players") or [])[:3]) or "the table"
return (f"Logged hand #{out['id']} — an observed hand ({who}), not yours. "
f"View it at /hand/{out['id']}")
cards = " ".join(p.get("hero_cards") or []) cards = " ".join(p.get("hero_cards") or [])
logbus.log("info", "hand reconstructed", id=out["id"], hero=p.get("hero_pos"))
return (f"Hand #{out['id']} reconstructed — {p.get('hero_pos') or '?'} " return (f"Hand #{out['id']} reconstructed — {p.get('hero_pos') or '?'} "
f"{cards}. View/replay it at /hand/{out['id']}") f"{cards}. View/replay it at /hand/{out['id']}")
@@ -452,6 +576,12 @@ _S = {"type": "string"}
_N = {"type": "number"} _N = {"type": "number"}
TOOLS.update({ TOOLS.update({
"set_mode": {"handler": _set_mode, "spec": _f(
"set_mode",
"Switch your conversation mode when the work clearly shifts and Brian's agreed to it. "
"Offer first ('want me in Decide for this?'), then call this on his yes.",
{"mode": {**_S, "description": "Mode key: conversation | poker_cash | build | explore | study | decide"}},
["mode"])},
"thought_response": {"handler": _thought_response, "spec": _f( "thought_response": {"handler": _thought_response, "spec": _f(
"thought_response", "thought_response",
"When you've brought one of your own thoughts/threads to Brian and he responds to " "When you've brought one of your own thoughts/threads to Brian and he responds to "
@@ -499,8 +629,11 @@ TOOLS.update({
"log_stack", "log_stack",
"Record Brian's CURRENT total chip stack in the live session. Call whenever " "Record Brian's CURRENT total chip stack in the live session. Call whenever "
"he states his stack ('I'm at 350', 'down to 220', 'stacked off to 900'). " "he states his stack ('I'm at 350', 'down to 220', 'stacked off to 900'). "
"Tracks his stack over time and his live net while he's still sitting.", "Tracks his stack over time and his live net while he's still sitting. Pass "
{"amount": {**_N, "description": "Current total chip stack, in dollars"}}, "`note` with the WHY when he gives it ('card dead', 'doubled up vs the LAG') — "
"it becomes the line in his session timeline.",
{"amount": {**_N, "description": "Current total chip stack, in dollars"},
"note": {**_S, "description": "Optional context for the change, e.g. 'card dead', 'doubled up'"}},
["amount"])}, ["amount"])},
"scar_note": {"handler": _scar_note, "spec": _f( "scar_note": {"handler": _scar_note, "spec": _f(
"scar_note", "scar_note",
@@ -553,9 +686,13 @@ TOOLS.update({
[])}, [])},
"add_read": {"handler": _add_read, "spec": _f( "add_read": {"handler": _add_read, "spec": _f(
"add_read", "add_read",
"Log a read on an opponent. If you give a name, it's saved to the persistent villain file.", "Log a read on an opponent. Give a `name` if known; if not, give a `descriptor` "
"(a distinctive physical description like 'neck tattoo, backwards cap') and the read "
"attaches to that nameless player — reused automatically next time you describe him.",
{"note": {**_S, "description": "The observation / what they showed down"}, {"note": {**_S, "description": "The observation / what they showed down"},
"name": {**_S, "description": "Player name/handle if known (creates/updates their dossier)"}, "name": {**_S, "description": "Player name/handle if known (creates/updates their dossier)"},
"descriptor": {**_S, "description": "Physical description when there's no name, e.g. "
"'neck tattoo, heavyset'. Prefer distinctive features over generic ones."},
"seat": {**_S, "description": "Seat or relative position"}, "seat": {**_S, "description": "Seat or relative position"},
"tendencies": {**_S, "description": "Standing read on how they play"}, "tendencies": {**_S, "description": "Standing read on how they play"},
"adjustment": {**_S, "description": "How Brian should exploit them"}, "adjustment": {**_S, "description": "How Brian should exploit them"},
@@ -563,6 +700,51 @@ TOOLS.update({
"category": {**_S, "description": "feeder | risky | reg | unknown"}, "category": {**_S, "description": "feeder | risky | reg | unknown"},
"venue": {**_S, "description": "Where they play"}}, "venue": {**_S, "description": "Where they play"}},
["note"])}, ["note"])},
"seat_players": {"handler": _seat_players, "spec": _f(
"seat_players",
"Register who's at the table this session — the roster Brian reads off the Bravo "
"screen (handles like TAG, JD). Call this when he names the table (usually at the "
"start) or when a new player sits. Each player is a real handle in `name`, or a "
"`descriptor` if he only describes them. These become the roster his reads/TAGs "
"attach to by name.",
{"players": {"type": "array", "description": "Players to seat",
"items": {"type": "object", "properties": {
"name": {**_S, "description": "Handle as it appears on Bravo, e.g. 'TAG'"},
"descriptor": {**_S, "description": "Physical description if no name"},
"seat": {**_S, "description": "Seat number/label if known"},
"category": {**_S, "description": "feeder | risky | reg | unknown"}}}},
"replace": {"type": "boolean", "description": "true = a brand-new table: clear the "
"current roster first, then seat these (use when he changes tables)"}},
["players"])},
"unseat_player": {"handler": _unseat_player, "spec": _f(
"unseat_player",
"Remove a player from the table roster when they bust or leave. Keeps their history.",
{"name": {**_S, "description": "Their handle"},
"descriptor": {**_S, "description": "Or a description if unnamed"}},
[])},
"clear_table": {"handler": _clear_table, "spec": _f(
"clear_table",
"Empty the whole table roster at once — call this when Brian changes tables or says "
"to clear the table. The session, stack, and logged reads stay; only who's currently "
"seated resets. Then he'll tell you the new table.",
{}, [])},
"name_villain": {"handler": _name_villain, "spec": _f(
"name_villain",
"Attach a real name to a player you'd only known by description (e.g. you caught it "
"off the Bravo screen). Their whole history carries over to the name.",
{"descriptor": {**_S, "description": "How you'd been referring to him, e.g. 'neck tattoo guy'"},
"name": {**_S, "description": "His real name/handle"}},
["descriptor", "name"])},
"link_villains": {"handler": _link_villains, "spec": _f(
"link_villains",
"Resolve a same-person question when Brian confirms it. same=true MERGES two profiles "
"into one (their histories join); same=false records they're DIFFERENT people so you "
"stop asking. Only call after he's confirmed — never merge on a guess.",
{"player_a": {**_S, "description": "First player, by name or description"},
"player_b": {**_S, "description": "Second player, by name or description"},
"same": {"type": "boolean", "description": "true = same person (merge); false = different"},
"note": {**_S, "description": "For different people: the tell that distinguishes them"}},
["player_a", "player_b", "same"])},
"end_session": {"handler": _end_session, "spec": _f( "end_session": {"handler": _end_session, "spec": _f(
"end_session", "Close the live session: record cashout, compute net + hours.", "end_session", "Close the live session: record cashout, compute net + hours.",
{"cash_out": {**_N, "description": "Final cashout amount"}, {"cash_out": {**_N, "description": "Final cashout amount"},
@@ -597,8 +779,11 @@ TOOLS.update({
"record_hand", "record_hand",
"Reconstruct a hand from Brian's rough shorthand into a structured, " "Reconstruct a hand from Brian's rough shorthand into a structured, "
"replayable hand history. Use when he describes/vomits a hand he wants " "replayable hand history. Use when he describes/vomits a hand he wants "
"saved or to review. Pass his description verbatim as 'shorthand'.", "saved or to review. Pass his ENTIRE description as ONE string in `shorthand` "
{"shorthand": {**_S, "description": "Brian's rough description of the hand, verbatim"}, "— do NOT split it into position/board/street fields (that's log_hand). "
"`shorthand` is required and must be non-empty.",
{"shorthand": {**_S, "description": "Brian's whole hand description as one verbatim "
"string, e.g. 'UTG with 9h6h, raise 15, BTN calls, flop 8h7h5s...'"},
"stakes": {**_S, "description": "Stakes if known, e.g. '1/3'"}, "stakes": {**_S, "description": "Stakes if known, e.g. '1/3'"},
"tag": {**_S, "description": "well_played | leak | cooler | confidence | notable"}, "tag": {**_S, "description": "well_played | leak | cooler | confidence | notable"},
"lesson": {**_S, "description": "Takeaway, if he stated one"}}, "lesson": {**_S, "description": "Takeaway, if he stated one"}},
+77
View File
@@ -0,0 +1,77 @@
"""Full-fidelity conversation export: interleave what was *said* (chat exchanges)
with what Lyra *did* (tool calls) in chronological order.
The chat only ever lives in SQLite (`exchanges` + `tool_events`); this is the one
place that renders a whole session back out as a portable artifact Markdown for
reading / pasting into RTO or another model, JSON for machine reprocessing.
"""
from __future__ import annotations
import json
from lyra import clock, memory
# How roles/actions are labeled in the Markdown transcript.
_SPEAKER = {"user": "Brian", "assistant": "Lyra"}
def _merged(session_id: str) -> list[dict]:
"""Speech + actions for a session, merged oldest-first by wall-clock time."""
events: list[dict] = []
for e in memory.history(session_id):
events.append({"type": "message", "role": e.role, "content": e.content,
"ts": e.created_at})
for t in memory.tool_events(session_id):
events.append({"type": "tool", "tool": t["tool"], "args": t["args"],
"result": t["result"], "ts": t["created_at"]})
# created_at is an ISO string; lexicographic sort == chronological sort.
events.sort(key=lambda ev: ev["ts"])
return events
def _fmt_args(args) -> str:
"""Compact one-line rendering of a tool call's arguments."""
if isinstance(args, dict):
return ", ".join(f"{k}={json.dumps(v, default=str)}" for k, v in args.items())
return "" if args is None else str(args)
def as_markdown(session_id: str, name: str | None = None) -> str:
events = _merged(session_id)
title = name or session_id
lines = [f"# Conversation — {title}",
f"_Exported {clock.stamp()} · session `{session_id}` · "
f"{len(events)} events_", ""]
for ev in events:
stamp = clock.short(ev["ts"])
if ev["type"] == "message":
who = _SPEAKER.get(ev["role"], ev["role"].capitalize())
lines.append(f"**{who}** · {stamp}")
lines.append((ev["content"] or "").rstrip())
lines.append("")
else:
result = (ev["result"] or "").strip().replace("\n", " ")
if len(result) > 200:
result = result[:197] + ""
lines.append(f" ⚙ `{ev['tool']}({_fmt_args(ev['args'])})` → {result}")
lines.append("")
return "\n".join(lines).rstrip() + "\n"
def as_json(session_id: str, name: str | None = None) -> dict:
return {
"session_id": session_id,
"name": name,
"exported_at": clock.stamp(),
"events": _merged(session_id),
}
def build(session_id: str, fmt: str = "md", name: str | None = None):
"""Return (content_str, media_type, filename) for the requested format."""
safe = "".join(c if c.isalnum() or c in "-_" else "_" for c in session_id)[:60]
if fmt == "json":
body = json.dumps(as_json(session_id, name), indent=2, ensure_ascii=False)
return body, "application/json", f"lyra_{safe}.json"
body = as_markdown(session_id, name)
return body, "text/markdown; charset=utf-8", f"lyra_{safe}.md"
+157 -3
View File
@@ -18,7 +18,7 @@ from fastapi import FastAPI, Request, Response
from fastapi.responses import FileResponse, StreamingResponse from fastapi.responses import FileResponse, StreamingResponse
from fastapi.staticfiles import StaticFiles from fastapi.staticfiles import StaticFiles
from lyra import chat, logbus, memory, modes, poker, self_state, summary, thoughts from lyra import chat, logbus, memory, modes, poker, self_state, summary, thoughts, transcript
from lyra.llm import Backend from lyra.llm import Backend
@@ -50,6 +50,16 @@ def _last_user_message(messages: list[dict]) -> str:
def create_app() -> FastAPI: def create_app() -> FastAPI:
app = FastAPI(title="Lyra Web") app = FastAPI(title="Lyra Web")
@app.middleware("http")
async def _no_stale_shell(request: Request, call_next):
"""Always revalidate HTML/JS so a PWA can't serve a stale app shell after a
deploy (iOS applies heuristic caching when no cache header is set)."""
resp = await call_next(request)
ct = resp.headers.get("content-type", "")
if "text/html" in ct or "javascript" in ct:
resp.headers["Cache-Control"] = "no-cache, must-revalidate"
return resp
@app.get("/_health") @app.get("/_health")
async def health() -> dict: async def health() -> dict:
return {"ok": True} return {"ok": True}
@@ -62,6 +72,15 @@ def create_app() -> FastAPI:
async def get_session(session_id: str) -> list[dict]: async def get_session(session_id: str) -> list[dict]:
return [{"role": ex.role, "content": ex.content} for ex in memory.history(session_id)] return [{"role": ex.role, "content": ex.content} for ex in memory.history(session_id)]
@app.get("/sessions/{session_id}/export")
async def export_session(session_id: str, format: str = "md") -> Response:
"""Full transcript — chat + interleaved tool calls — as Markdown or JSON."""
name = next((s["name"] for s in memory.list_sessions() if s["id"] == session_id), None)
body, media_type, filename = await asyncio.to_thread(
transcript.build, session_id, format, name)
return Response(content=body, media_type=media_type,
headers={"Content-Disposition": f'attachment; filename="{filename}"'})
@app.post("/sessions/{session_id}") @app.post("/sessions/{session_id}")
async def save_session(session_id: str, request: Request) -> dict: async def save_session(session_id: str, request: Request) -> dict:
# Messages are already persisted by chat.respond; just ensure the row exists. # Messages are already persisted by chat.respond; just ensure the row exists.
@@ -121,6 +140,109 @@ def create_app() -> FastAPI:
logbus.log("info", "session edited", id=session_id, fields=list(body)) logbus.log("info", "session edited", id=session_id, fields=list(body))
return {"ok": s is not None, "session": s} return {"ok": s is not None, "session": s}
@app.post("/session/stack")
async def session_log_stack(request: Request) -> dict:
"""Log Brian's current stack directly (no LLM). Server-stamps the time."""
body = await request.json()
try:
amount = float(body.get("amount"))
except (TypeError, ValueError):
return {"ok": False, "error": "amount must be a number"}
note = (body.get("note") or "").strip() or None
try:
state = await asyncio.to_thread(poker.log_stack, amount, note)
except ValueError as exc:
return {"ok": False, "error": str(exc)}
logbus.log("info", "stack logged (direct)", amount=amount)
return {"ok": True, "stack": state}
@app.post("/session/buyin")
async def session_add_buyin(request: Request) -> dict:
"""Add a buy-in/rebuy directly (no LLM)."""
body = await request.json()
try:
amount = float(body.get("amount"))
except (TypeError, ValueError):
return {"ok": False, "error": "amount must be a number"}
try:
total = await asyncio.to_thread(poker.add_buyin, amount)
except ValueError as exc:
return {"ok": False, "error": str(exc)}
logbus.log("info", "buyin added (direct)", amount=amount)
return {"ok": True, "buy_in_total": total}
@app.post("/session")
async def session_start(request: Request) -> dict:
"""Open a new live session directly (no LLM)."""
body = await request.json()
sid = await asyncio.to_thread(lambda: poker.start_session(
venue=body.get("venue"), stakes=body.get("stakes"),
game=body.get("game") or "NLH", fmt=body.get("format") or "cash",
buy_in=body.get("buy_in") or 0, mantra=body.get("mantra"),
))
logbus.log("info", "poker session started (direct)", id=sid)
return {"ok": True, "id": sid}
@app.post("/session/hand")
async def session_log_hand(request: Request) -> dict:
"""Log a hand directly with flat fields (no LLM parse)."""
body = await request.json()
try:
hid = await asyncio.to_thread(lambda: poker.log_hand(**body))
except ValueError as exc:
return {"ok": False, "error": str(exc)}
logbus.log("info", "hand logged (direct)", id=hid)
return {"ok": True, "id": hid}
@app.patch("/hand/{hand_id}")
async def hand_update(hand_id: int, request: Request) -> dict:
"""Edit a logged hand's flat fields."""
body = await request.json()
h = await asyncio.to_thread(lambda: poker.update_hand(hand_id, **body))
logbus.log("info", "hand edited", id=hand_id, fields=list(body))
return {"ok": h is not None, "hand": h}
@app.post("/hand/{hand_id}/disown")
async def hand_disown(hand_id: int) -> dict:
"""Reclassify a hand as observed (not Brian's) — fix a misattributed one."""
h = await asyncio.to_thread(poker.disown_hand, hand_id)
logbus.log("info", "hand disowned", id=hand_id)
return {"ok": h is not None, "hand": h}
@app.delete("/hand/{hand_id}")
async def hand_delete(hand_id: int) -> dict:
"""Delete a logged hand."""
ok = await asyncio.to_thread(poker.delete_entry, "hand", hand_id)
return {"ok": ok}
@app.post("/session/read")
async def session_add_read(request: Request) -> dict:
"""Log a read directly (no LLM); upserts the villain file when name is given."""
body = await request.json()
rid = await asyncio.to_thread(lambda: poker.add_read(
note=body.get("note") or "", seat=body.get("seat"), name=body.get("name"),
tendencies=body.get("tendencies"), adjustment=body.get("adjustment"),
description=body.get("description"), category=body.get("category"),
venue=body.get("venue"),
))
return {"ok": True, "id": rid}
@app.patch("/player/{player_id}")
async def player_update(player_id: int, request: Request) -> dict:
"""Edit a player's dossier (rename, fix tendencies). Setting `name` on a
nameless (descriptor) villain promotes it to a real handle (named=1)."""
body = await request.json()
def _apply():
if body.get("name"):
poker.name_villain(player_id, body["name"])
rest = {k: v for k, v in body.items() if k != "name"}
return poker.update_player(player_id, **rest) # flat row (name included)
p = await asyncio.to_thread(_apply)
logbus.log("info", "player edited", id=player_id, fields=list(body))
return {"ok": p is not None, "player": p}
@app.delete("/session/entry/{kind}/{entry_id}") @app.delete("/session/entry/{kind}/{entry_id}")
async def delete_entry(kind: str, entry_id: int) -> dict: async def delete_entry(kind: str, entry_id: int) -> dict:
"""Delete one HUD entry (hand | stack | read | ritual) by id.""" """Delete one HUD entry (hand | stack | read | ritual) by id."""
@@ -151,11 +273,13 @@ def create_app() -> FastAPI:
user_msg = _last_user_message(body.get("messages", [])) user_msg = _last_user_message(body.get("messages", []))
model_override = body.get("model") or None model_override = body.get("model") or None
turn_id = body.get("turnId") or None
memory.ensure_session(session_id) memory.ensure_session(session_id)
if body.get("mode"): if body.get("mode"):
memory.set_session_mode(session_id, body["mode"]) memory.set_session_mode(session_id, body["mode"])
try: try:
reply = await asyncio.to_thread(chat.respond, session_id, user_msg, backend, model_override) reply = await asyncio.to_thread(chat.respond, session_id, user_msg, backend,
model_override, turn_id)
except Exception as exc: except Exception as exc:
logbus.log("error", "chat failed", session=session_id, error=str(exc)) logbus.log("error", "chat failed", session=session_id, error=str(exc))
reply = f"[error] {exc}" reply = f"[error] {exc}"
@@ -183,6 +307,7 @@ def create_app() -> FastAPI:
backend = _backend_for(body.get("backend")) backend = _backend_for(body.get("backend"))
user_msg = _last_user_message(body.get("messages", [])) user_msg = _last_user_message(body.get("messages", []))
model_override = body.get("model") or None model_override = body.get("model") or None
turn_id = body.get("turnId") or None
memory.ensure_session(session_id) memory.ensure_session(session_id)
if body.get("mode"): if body.get("mode"):
memory.set_session_mode(session_id, body["mode"]) memory.set_session_mode(session_id, body["mode"])
@@ -194,7 +319,8 @@ def create_app() -> FastAPI:
def produce(): def produce():
try: try:
for event in chat.respond_stream(session_id, user_msg, backend, model_override): for event in chat.respond_stream(session_id, user_msg, backend,
model_override, turn_id):
loop.call_soon_threadsafe(q.put_nowait, event) loop.call_soon_threadsafe(q.put_nowait, event)
except Exception as exc: # surface to the client stream, don't hang except Exception as exc: # surface to the client stream, don't hang
logbus.log("error", "chat stream failed", session=session_id, error=str(exc)) logbus.log("error", "chat stream failed", session=session_id, error=str(exc))
@@ -339,6 +465,34 @@ def create_app() -> FastAPI:
async def hands_data(limit: int = 60) -> dict: async def hands_data(limit: int = 60) -> dict:
return {"hands": poker.list_recent_hands(limit=limit)} return {"hands": poker.list_recent_hands(limit=limit)}
@app.get("/players")
async def players_page() -> FileResponse:
"""Villain file browser + the identity-resolution review queue."""
return FileResponse(str(_STATIC / "players.html"))
@app.get("/players/data")
async def players_data() -> dict:
return {"players": poker.players_overview(),
"queue": poker.list_identity_queue()}
@app.get("/player/{player_id}/data")
async def player_data(player_id: int) -> dict:
return poker.villain_recall(player_id) or {}
@app.post("/identity/{task_id}/resolve")
async def identity_resolve(task_id: int, request: Request) -> dict:
body = await request.json()
action = body.get("action") or "dismiss"
kw = {k: v for k, v in body.items() if k != "action"}
ok = await asyncio.to_thread(poker.resolve_identity_task, task_id, action, **kw)
logbus.log("info", "identity task resolved", id=task_id, action=action)
return {"ok": ok}
@app.post("/players/scan")
async def players_scan() -> dict:
filed = await asyncio.to_thread(poker.scan_merge_candidates)
return {"ok": True, "filed": filed}
@app.get("/recap/{session_id}") @app.get("/recap/{session_id}")
async def recap_page() -> FileResponse: async def recap_page() -> FileResponse:
return FileResponse(str(_STATIC / "recap.html")) return FileResponse(str(_STATIC / "recap.html"))
+46
View File
@@ -282,8 +282,54 @@
const h = await r.json(); const h = await r.json();
if(!h || !h.id){ document.getElementById('root').innerHTML='<p class="err">Hand not found.</p>'; return; } if(!h || !h.id){ document.getElementById('root').innerHTML='<p class="err">Hand not found.</p>'; return; }
render(h); render(h);
renderEditor(h);
}catch(e){ document.getElementById('root').innerHTML='<p class="err">Couldn\'t load the hand.</p>'; } }catch(e){ document.getElementById('root').innerHTML='<p class="err">Couldn\'t load the hand.</p>'; }
} }
function renderEditor(h){
const wrap = document.createElement('div');
wrap.style.cssText = 'max-width:520px;margin:18px auto 0;border-top:1px solid #241a10;padding-top:12px;';
const tags = ['','well_played','leak','cooler','confidence','notable'];
wrap.innerHTML = `
<details style="font-size:.9rem;">
<summary style="cursor:pointer;color:var(--accent,#ff7a00);">✎ Edit this hand</summary>
<div style="display:flex;flex-direction:column;gap:8px;margin-top:10px;">
<label>Position <input id="e_pos" value="${esc(h.position||'')}" placeholder="e.g. CO (blank if not yours)"></label>
<label>Your cards <input id="e_hole" value="${esc(h.hole_cards||'')}" placeholder="e.g. As Ks (blank if not yours)"></label>
<label>Board <input id="e_board" value="${esc(h.board||'')}" placeholder="e.g. Tc 8s Js 6d"></label>
<label>Your net <input id="e_res" value="${h.result!=null?esc(h.result):''}" placeholder="+ / chips (blank if not yours)"></label>
<label>Tag <select id="e_tag">${tags.map(t=>`<option value="${t}" ${h.tag===t?'selected':''}>${t||'—'}</option>`).join('')}</select></label>
<label>Lesson <input id="e_lesson" value="${esc(h.lesson||'')}"></label>
<div style="display:flex;flex-wrap:wrap;gap:8px;margin-top:4px;">
<button onclick="saveHand(${h.id})" style="border-color:var(--accent,#ff7a00);color:var(--accent,#ff7a00);">Save</button>
<button onclick="disown(${h.id})" title="It was someone else's hand — clear it from you">Not my hand</button>
<button onclick="delHand(${h.id})" style="margin-left:auto;color:#ff6b6b;">Delete</button>
</div>
</div>
</details>`;
wrap.querySelectorAll('input,select').forEach(el=>{el.style.cssText='font:inherit;font-size:.86rem;padding:5px 8px;border-radius:6px;border:1px solid #241a10;background:#0b0b0b;color:#e8e8e8;margin-left:8px;';});
wrap.querySelectorAll('label').forEach(el=>{el.style.cssText='display:flex;justify-content:space-between;align-items:center;color:#8a8a8a;';});
wrap.querySelectorAll('button').forEach(el=>{el.style.cssText+=';font:inherit;font-size:.84rem;padding:6px 12px;border-radius:7px;border:1px solid #241a10;background:#141414;color:#e8e8e8;cursor:pointer;';});
document.getElementById('root').appendChild(wrap);
}
const val = id => document.getElementById(id).value.trim();
async function saveHand(id){
const body = {position:val('e_pos'), hole_cards:val('e_hole'), board:val('e_board'),
tag:val('e_tag'), lesson:val('e_lesson')};
const res = val('e_res'); if(res!=='') body.result = Number(res);
await fetch(`/hand/${id}`,{method:'PATCH',headers:{'Content-Type':'application/json'},body:JSON.stringify(body)});
load();
}
async function disown(id){
if(!confirm("Mark this as someone else's hand? It'll be cleared from your stats.")) return;
await fetch(`/hand/${id}/disown`,{method:'POST'});
load();
}
async function delHand(id){
if(!confirm('Delete this hand for good?')) return;
await fetch(`/hand/${id}`,{method:'DELETE'});
location.href='/hands';
}
load(); load();
</script> </script>
<script src="/nav.js"></script> <script src="/nav.js"></script>
+126 -10
View File
@@ -3,14 +3,14 @@
<head> <head>
<meta charset="UTF-8" /> <meta charset="UTF-8" />
<title>Lyra Core Chat</title> <title>Lyra Core Chat</title>
<link rel="stylesheet" href="style.css" /> <link rel="stylesheet" href="style.css?v=8" />
<!-- PWA --> <!-- PWA -->
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, viewport-fit=cover" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, viewport-fit=cover" />
<meta name="mobile-web-app-capable" content="yes" /> <meta name="mobile-web-app-capable" content="yes" />
<meta name="apple-mobile-web-app-capable" content="yes" /> <meta name="apple-mobile-web-app-capable" content="yes" />
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" /> <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
<meta name="apple-mobile-web-app-title" content="Lyra" /> <meta name="apple-mobile-web-app-title" content="Lyra" />
<meta name="theme-color" content="#070707" /> <meta name="theme-color" content="#141414" />
<link rel="apple-touch-icon" href="apple-touch-icon.png" /> <link rel="apple-touch-icon" href="apple-touch-icon.png" />
<link rel="icon" type="image/png" href="icon-192.png" /> <link rel="icon" type="image/png" href="icon-192.png" />
<link rel="manifest" href="manifest.json" /> <link rel="manifest" href="manifest.json" />
@@ -26,7 +26,11 @@
<h4>Mode</h4> <h4>Mode</h4>
<select id="mobileMode"> <select id="mobileMode">
<option value="conversation">💬 Talk</option> <option value="conversation">💬 Talk</option>
<option value="poker_cash">Cash</option> <option value="poker_cash">Poker</option>
<option value="build">🛠 Build</option>
<option value="explore">🔭 Explore</option>
<option value="study">📐 Study</option>
<option value="decide">⚖️ Decide</option>
</select> </select>
</div> </div>
@@ -62,11 +66,15 @@
</button> </button>
<span class="brand">Lyra</span> <span class="brand">Lyra</span>
<span class="brand-dot" id="brandDot" title="Relay status"></span> <span class="brand-dot" id="brandDot" title="Relay status"></span>
<button class="mode-badge" id="modeBadge" type="button" title="Tap to toggle Talk / Cash mode">💬 Talk</button> <button class="mode-badge" id="modeBadge" type="button" title="Current mode (tap to cycle)">💬 Talk</button>
<label for="mode">Mode:</label> <label for="mode">Mode:</label>
<select id="mode"> <select id="mode">
<option value="conversation">💬 Talk</option> <option value="conversation">💬 Talk</option>
<option value="poker_cash">Cash</option> <option value="poker_cash">Poker</option>
<option value="build">🛠 Build</option>
<option value="explore">🔭 Explore</option>
<option value="study">📐 Study</option>
<option value="decide">⚖️ Decide</option>
</select> </select>
<button id="settingsBtn" style="margin-left: auto;">⚙ Settings</button> <button id="settingsBtn" style="margin-left: auto;">⚙ Settings</button>
<div id="theme-toggle"> <div id="theme-toggle">
@@ -80,6 +88,7 @@
<select id="sessions"></select> <select id="sessions"></select>
<button id="newSessionBtn"> New</button> <button id="newSessionBtn"> New</button>
<button id="renameSessionBtn">✏️ Rename</button> <button id="renameSessionBtn">✏️ Rename</button>
<button id="exportSessionBtn" title="Download full transcript (chat + tool calls)">⬇ Export</button>
<button id="thinkingStreamBtn" title="Show live activity log">📜 Live Log</button> <button id="thinkingStreamBtn" title="Show live activity log">📜 Live Log</button>
</div> </div>
@@ -116,6 +125,12 @@
<button id="sendBtn" aria-label="Send" title="Send (or ⌘/Ctrl+Enter)"></button> <button id="sendBtn" aria-label="Send" title="Send (or ⌘/Ctrl+Enter)"></button>
</div> </div>
<!-- Stack quick-capture (no LLM): type a number -> logs current stack -->
<div id="stackQuick">
<input id="stackQuickInput" type="number" inputmode="decimal" placeholder="Stack $" aria-label="Log current stack">
<button id="stackQuickBtn" type="button" title="Log stack (no chat)">Log</button>
</div>
<!-- Bottom tab bar (mobile only; hides while the keyboard is open) --> <!-- Bottom tab bar (mobile only; hides while the keyboard is open) -->
<nav id="tabbar" aria-label="Primary navigation"> <nav id="tabbar" aria-label="Primary navigation">
<a class="tab active" href="/" aria-current="page"><span class="ti">💬</span><span class="tl">Chat</span></a> <a class="tab active" href="/" aria-current="page"><span class="ti">💬</span><span class="tl">Chat</span></a>
@@ -201,6 +216,72 @@
const API_URL = `${RELAY_BASE}/v1/chat/completions`; const API_URL = `${RELAY_BASE}/v1/chat/completions`;
const STREAM_URL = `${RELAY_BASE}/v1/chat/stream`; const STREAM_URL = `${RELAY_BASE}/v1/chat/stream`;
// Stack quick-capture (no LLM): type a number -> POST /session/stack.
function stackQuickLog() {
const el = document.getElementById("stackQuickInput");
if (!el) return;
const raw = (el.value || "").replace(/[^0-9.]/g, "");
if (!raw) return;
const amount = Number(raw);
const content = document.getElementById("thinkingContent");
const empty = document.getElementById("thinkingEmpty");
fetch("/session/stack", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({ amount })
}).then(r => r.json()).then(data => {
if (empty && empty.parentNode) empty.parentNode.removeChild(empty);
const line = document.createElement("div");
const t = new Date().toLocaleTimeString();
if (!data.ok) {
line.className = "log-line log-error";
line.textContent = "⚠ " + (data.error || "stack not logged");
} else {
line.className = "log-line log-info";
const net = (data.stack && data.stack.net != null)
? " (net " + (data.stack.net >= 0 ? "+" : "") + data.stack.net + ")" : "";
line.textContent = t + " 💰 $" + amount + " logged" + net;
el.value = "";
}
if (content) { content.appendChild(line); content.scrollTop = content.scrollHeight; }
}).catch(e => {
if (content) {
const line = document.createElement("div");
line.className = "log-line log-error";
line.textContent = "⚠ stack log failed: " + e.message;
content.appendChild(line);
}
});
}
// Only show the stack quick-logger when a poker session is actually live —
// otherwise logging just errors ("no live session").
function updateStackQuickVisibility() {
const box = document.getElementById("stackQuick");
if (!box) return;
fetch("/session/data", { cache: "no-store" })
.then(function (r) { return r.json(); })
.then(function (data) {
const live = !!(data && data.session && data.session.is_live);
box.style.display = live ? "flex" : "none";
})
.catch(function () { box.style.display = "none"; });
}
(function wireStackQuick() {
const box = document.getElementById("stackQuick");
const btn = document.getElementById("stackQuickBtn");
const inp = document.getElementById("stackQuickInput");
if (box) box.style.display = "none"; // hidden until a live session is confirmed
if (btn) btn.addEventListener("click", stackQuickLog);
if (inp) inp.addEventListener("keydown", function (e) {
if (e.key === "Enter") { e.preventDefault(); stackQuickLog(); }
});
updateStackQuickVisibility();
setInterval(updateStackQuickVisibility, 10000);
document.addEventListener("visibilitychange", function () {
if (!document.hidden) updateStackQuickVisibility();
});
})();
function generateSessionId() { function generateSessionId() {
return "sess-" + Math.random().toString(36).substring(2, 10); return "sess-" + Math.random().toString(36).substring(2, 10);
} }
@@ -317,10 +398,17 @@
// live poker session forces the cloud backend regardless of the saved pick. // live poker session forces the cloud backend regardless of the saved pick.
if (mode === "poker_cash") backend = "cloud"; if (mode === "poker_cash") backend = "cloud";
// One id per send, carried on BOTH the stream and the blocking fallback so the
// server runs this turn exactly once even if you lock your phone and it re-fires.
const turnId = (window.crypto && crypto.randomUUID)
? crypto.randomUUID()
: String(Date.now()) + "-" + Math.random().toString(36).slice(2);
const body = { const body = {
mode: mode, mode: mode,
messages: history, messages: history,
sessionId: currentSession sessionId: currentSession,
turnId: turnId
}; };
// Only add backend if in standard mode // Only add backend if in standard mode
@@ -605,8 +693,11 @@
} }
// ----- Conversation mode (Talk / Cash) ----- // ----- Conversation modes (Talk / Poker / Build / Explore / Study) -----
const MODE_LABELS = { conversation: "💬 Talk", poker_cash: "♠ Cash" }; const MODE_LABELS = { conversation: "💬 Talk", poker_cash: "♠ Poker",
build: "🛠 Build", explore: "🔭 Explore", study: "📐 Study",
decide: "⚖️ Decide" };
const MODE_ORDER = ["conversation", "poker_cash", "build", "explore", "study", "decide"];
// Reflect a mode value across the controls + header accent (no network call). // Reflect a mode value across the controls + header accent (no network call).
function applyMode(value) { function applyMode(value) {
@@ -690,6 +781,16 @@
window.addEventListener("resize", nudgeAppHeight); window.addEventListener("resize", nudgeAppHeight);
window.addEventListener("orientationchange", nudgeAppHeight); window.addEventListener("orientationchange", nudgeAppHeight);
// A rotation reflows the chat and iOS drops the scroll to mid-history. If we
// were pinned to the latest message, snap back there once the layout settles
// (re-fire across the reflow since iOS reports stale dimensions mid-rotate).
window.addEventListener("orientationchange", () => {
const m = document.getElementById("messages");
const wasAtBottom = m.scrollHeight - m.scrollTop - m.clientHeight < 90;
if (!wasAtBottom) return; // respect the user's scroll-up position
[100, 300, 600].forEach((t) => setTimeout(() => { m.scrollTop = m.scrollHeight; }, t));
});
// Keep the latest message in view when the keyboard opens/closes. // Keep the latest message in view when the keyboard opens/closes.
const userInputEl = document.getElementById("userInput"); const userInputEl = document.getElementById("userInput");
userInputEl.addEventListener("focus", () => { userInputEl.addEventListener("focus", () => {
@@ -730,8 +831,10 @@
desktopMode.addEventListener("change", (e) => chooseMode(e.target.value)); desktopMode.addEventListener("change", (e) => chooseMode(e.target.value));
mobileMode.addEventListener("change", (e) => { closeMobileMenu(); chooseMode(e.target.value); }); mobileMode.addEventListener("change", (e) => { closeMobileMenu(); chooseMode(e.target.value); });
modeBadge.addEventListener("click", () => modeBadge.addEventListener("click", () => {
chooseMode(desktopMode.value === "poker_cash" ? "conversation" : "poker_cash")); const i = MODE_ORDER.indexOf(desktopMode.value);
chooseMode(MODE_ORDER[(i + 1) % MODE_ORDER.length]); // tap cycles through modes
});
// Reflect the last-used mode immediately; the per-session value loads once // Reflect the last-used mode immediately; the per-session value loads once
// the current session is known (below). // the current session is known (below).
@@ -892,6 +995,19 @@
addMessage("system", `Session renamed to: ${newName}`); addMessage("system", `Session renamed to: ${newName}`);
}); });
document.getElementById("exportSessionBtn").addEventListener("click", () => {
if (!currentSession) { addMessage("system", "No session to export."); return; }
const fmt = window.confirm("Export as Markdown? (Cancel = JSON)") ? "md" : "json";
// Hitting the download endpoint navigates a hidden anchor so the browser
// saves the file (chat + interleaved tool calls) instead of rendering it.
const a = document.createElement("a");
a.href = `${RELAY_BASE}/sessions/${encodeURIComponent(currentSession)}/export?format=${fmt}`;
a.download = "";
document.body.appendChild(a);
a.click();
a.remove();
});
// Settings Modal // Settings Modal
const settingsModal = document.getElementById("settingsModal"); const settingsModal = document.getElementById("settingsModal");
const settingsBtn = document.getElementById("settingsBtn"); const settingsBtn = document.getElementById("settingsBtn");
+1
View File
@@ -8,6 +8,7 @@
{ href: "/session", icon: "♠", label: "Session" }, { href: "/session", icon: "♠", label: "Session" },
{ href: "/history", icon: "📚", label: "History" }, { href: "/history", icon: "📚", label: "History" },
{ href: "/hands", icon: "🃏", label: "Hands" }, { href: "/hands", icon: "🃏", label: "Hands" },
{ href: "/players", icon: "👤", label: "Players" },
{ href: "/self", icon: "🧠", label: "Mind" }, { href: "/self", icon: "🧠", label: "Mind" },
{ href: "/thoughts", icon: "💭", label: "Thoughts" }, { href: "/thoughts", icon: "💭", label: "Thoughts" },
{ href: "/journal", icon: "📔", label: "Journal" }, { href: "/journal", icon: "📔", label: "Journal" },
+166
View File
@@ -0,0 +1,166 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, viewport-fit=cover" />
<meta name="theme-color" content="#070707" />
<title>Lyra — Players</title>
<style>
:root{--bg:#070707;--bg-elev:#0e0e0e;--bg-line:#141414;--border:#2a1d12;--text:#e8e8e8;--fade:#8a8a8a;--accent:#ff7a00;}
*{box-sizing:border-box;}
html,body{margin:0;min-height:100%;background:var(--bg);color:var(--text);
font-family:-apple-system,BlinkMacSystemFont,"Segoe UI",Roboto,sans-serif;-webkit-text-size-adjust:100%;}
header{position:sticky;top:0;z-index:10;background:var(--bg-elev);border-bottom:1px solid var(--border);
padding:env(safe-area-inset-top) 14px 0;}
.topbar{display:flex;align-items:center;gap:10px;padding:13px 0;}
.topbar h1{font-size:1.05rem;margin:0;font-weight:600;}
.topbar a.back{color:var(--accent);text-decoration:none;font-size:.92rem;}
.count{margin-left:auto;color:var(--fade);font-size:.8rem;}
main{max-width:640px;margin:0 auto;padding:12px 12px 44px;}
h2.sec{font-size:.74rem;text-transform:uppercase;letter-spacing:.6px;color:var(--fade);margin:20px 2px 8px;}
.queue{background:#160d05;border:1px solid var(--accent);border-radius:10px;padding:11px 12px;margin-bottom:9px;}
.queue .k{font-size:.62rem;text-transform:uppercase;letter-spacing:.5px;color:var(--accent);}
.queue .q-body{font-size:.9rem;margin:5px 0 9px;}
.queue .who{font-weight:600;}
.btns{display:flex;flex-wrap:wrap;gap:7px;}
button{font:inherit;font-size:.82rem;padding:6px 11px;border-radius:7px;border:1px solid var(--border);
background:var(--bg-line);color:var(--text);cursor:pointer;}
button.pri{border-color:var(--accent);color:var(--accent);}
button:active{background:#241400;}
.card{background:var(--bg-elev);border:1px solid var(--border);border-radius:10px;padding:10px 12px;margin-bottom:8px;}
.card .row{display:flex;align-items:center;gap:9px;cursor:pointer;}
.nm{font-size:.96rem;font-weight:600;}
.nm.desc{font-weight:500;font-style:italic;color:#e8d3bf;}
.meta{font-size:.74rem;color:var(--fade);}
.pill{font-size:.6rem;text-transform:uppercase;letter-spacing:.4px;border:1px solid var(--border);
border-radius:20px;padding:1px 7px;color:var(--fade);}
.pill.desc{border-color:#5a3c1e;color:#d0a56e;}
.spacer{margin-left:auto;}
.detail{margin-top:9px;padding-top:9px;border-top:1px solid var(--bg-line);font-size:.86rem;display:none;}
.detail.open{display:block;}
.detail .lbl{color:var(--fade);font-size:.72rem;text-transform:uppercase;letter-spacing:.4px;margin:8px 0 3px;}
.detail ul{margin:3px 0;padding-left:18px;} .detail li{margin:2px 0;}
.detail a{color:var(--accent);text-decoration:none;}
.edit{display:flex;flex-wrap:wrap;gap:6px;margin-top:9px;}
.edit input,.edit select{font:inherit;font-size:.82rem;padding:5px 8px;border-radius:6px;
border:1px solid var(--border);background:var(--bg);color:var(--text);}
.empty{color:var(--fade);text-align:center;padding:34px 16px;}
</style>
</head>
<body>
<header>
<div class="topbar">
<h1>👤 Players</h1>
<a class="back" href="/">← Chat</a>
<span class="count" id="count"></span>
</div>
</header>
<main id="root"><p class="empty">Loading…</p></main>
<script>
function esc(s){const d=document.createElement('div');d.textContent=s==null?'':String(s);return d.innerHTML;}
let DATA={players:[],queue:[]};
async function load(){
try{ DATA=await (await fetch('/players/data',{cache:'no-store'})).json(); }
catch(e){ document.getElementById('root').innerHTML='<p class="empty">Couldn\'t load players.</p>'; return; }
render();
}
function render(){
const {players,queue}=DATA;
const named=players.filter(p=>p.named), nameless=players.filter(p=>!p.named);
document.getElementById('count').textContent=`${players.length} player${players.length===1?'':'s'}`;
let html='';
if(queue.length){
html+=`<h2 class="sec">⚠ Needs your call — ${queue.length}</h2>`;
html+=queue.map(qCard).join('');
}
html+=`<h2 class="sec">Named — ${named.length} <button class="pri" style="float:right;padding:3px 9px" onclick="scan()">Scan for dupes</button></h2>`;
html+= named.length ? named.map(pCard).join('') : '<p class="empty">No named players yet.</p>';
html+=`<h2 class="sec">By description — ${nameless.length}</h2>`;
html+= nameless.length ? nameless.map(pCard).join('') : '<p class="empty">No nameless villains yet — they show up here as you describe players at the table.</p>';
document.getElementById('root').innerHTML=html;
}
function qCard(q){
const ps=q.players||[];
if(q.kind==='merge_candidate' && ps.length===2){
const a=ps[0], b=ps[1];
return `<div class="queue"><div class="k">Possible merge${q.confidence?` · ${Math.round(q.confidence*100)}%`:''}</div>
<div class="q-body">Same person? <span class="who">${label(a)}</span> &nbsp;vs&nbsp; <span class="who">${label(b)}</span></div>
<div class="btns">
<button class="pri" onclick="resolveTask(${q.id},'merge',{keep_id:${keepId(a,b)},dup_id:${dupId(a,b)}})">✓ Same — merge</button>
<button onclick="resolveTask(${q.id},'distinct',{a_id:${a.id},b_id:${b.id}})">✕ Different</button>
<button onclick="resolveTask(${q.id},'dismiss',{})">Dismiss</button>
</div></div>`;
}
const who=ps[0]?label(ps[0]):'?';
return `<div class="queue"><div class="k">Needs clarification</div>
<div class="q-body">You referred to <span class="who">“${esc(q.descriptor||'')}”</span>${ps[0]?` — is that ${who}?`:''}</div>
<div class="btns"><button onclick="resolveTask(${q.id},'dismiss',{})">Got it</button></div></div>`;
}
const label=p=>`${esc(p.name)}${p.named?'':' <span class="pill desc">desc</span>'}${p.venue?` · ${esc(p.venue)}`:''}${p.obs?` · ${p.obs}h`:''}`;
const keepId=(a,b)=>a.named?a.id:(b.named?b.id:a.id);
const dupId=(a,b)=>a.named?b.id:(b.named?a.id:b.id);
function pCard(p){
const pills=[p.named?'':'<span class="pill desc">desc</span>',p.category?`<span class="pill">${esc(p.category)}</span>`:''].join('');
const meta=[p.venue,p.obs?`${p.obs} hands`:'',p.reads?`${p.reads} reads`:''].filter(Boolean).join(' · ');
return `<div class="card" id="p${p.id}">
<div class="row" onclick="toggle(${p.id})">
<span class="nm ${p.named?'':'desc'}">${p.named?esc(p.name):'“'+esc(p.name)+'”'}</span>
${pills}<span class="spacer"></span><span class="meta">${esc(meta)}</span>
</div>
<div class="detail" id="d${p.id}"></div></div>`;
}
async function toggle(id){
const el=document.getElementById('d'+id);
if(el.classList.contains('open')){el.classList.remove('open');return;}
el.classList.add('open'); el.innerHTML='<span class="meta">Loading…</span>';
const r=await (await fetch(`/player/${id}/data`,{cache:'no-store'})).json();
el.innerHTML=detailHtml(id,r);
}
function detailHtml(id,r){
const p=r.player||{}; let h='';
const seen=[r.times_seen?`seen ${r.times_seen}×`:'', r.last_seen?`last ${String(r.last_seen).slice(0,10)}`:''].filter(Boolean).join(' · ');
if(seen) h+=`<div class="meta">${esc(seen)}</div>`;
if(r.stats) h+=`<div class="lbl">Stats</div><div>VPIP ${r.stats.vpip_pct} · PFR ${r.stats.pfr_pct} · WTSD ${r.stats.wtsd_pct} <span class="meta">(${r.stats.hands} hands)</span></div>`;
if(r.descriptors) h+=`<div class="lbl">Descriptors</div><div>${esc(r.descriptors)}</div>`;
if(p.tendencies) h+=`<div class="lbl">Tendencies</div><div>${esc(p.tendencies)}</div>`;
if(p.adjustment) h+=`<div class="lbl">Exploit</div><div>${esc(p.adjustment)}</div>`;
if((r.reads||[]).length){h+='<div class="lbl">Reads</div><ul>'+r.reads.slice(0,8).map(x=>`<li>${esc(x)}</li>`).join('')+'</ul>';}
if((r.notable_hands||[]).length){h+='<div class="lbl">Notable hands</div><ul>'+r.notable_hands.map(x=>`<li><a href="/hand/${x.hand_id}">hand #${x.hand_id}</a>${x.cards?' — '+esc(x.cards):''}${x.summary?' <span class="meta">'+esc(x.summary)+'</span>':''}</li>`).join('')+'</ul>';}
h+=`<div class="edit">
${p.named?'':`<input id="nm${id}" placeholder="give a name…" size="12"><button onclick="rename(${id})">Name</button>`}
<select id="cat${id}" onchange="setCat(${id})">
${['','feeder','risky','reg','unknown'].map(c=>`<option value="${c}" ${p.category===c?'selected':''}>${c||'category…'}</option>`).join('')}
</select></div>`;
return h;
}
async function rename(id){
const v=document.getElementById('nm'+id).value.trim(); if(!v)return;
await fetch(`/player/${id}`,{method:'PATCH',headers:{'Content-Type':'application/json'},body:JSON.stringify({name:v})});
load();
}
async function setCat(id){
const v=document.getElementById('cat'+id).value;
await fetch(`/player/${id}`,{method:'PATCH',headers:{'Content-Type':'application/json'},body:JSON.stringify({category:v})});
}
async function resolveTask(id,action,kw){
await fetch(`/identity/${id}/resolve`,{method:'POST',headers:{'Content-Type':'application/json'},body:JSON.stringify({action,...kw})});
load();
}
async function scan(){
const r=await (await fetch('/players/scan',{method:'POST'})).json();
load();
}
load();
</script>
<script src="/nav.js"></script>
</body>
</html>
+79 -1
View File
@@ -104,6 +104,26 @@
.big-empty { text-align: center; padding: 50px 20px; color: var(--fade); } .big-empty { text-align: center; padding: 50px 20px; color: var(--fade); }
.big-empty .ico { font-size: 2.4rem; } .big-empty .ico { font-size: 2.4rem; }
.big-empty a { color: var(--accent); text-decoration: none; } .big-empty a { color: var(--accent); text-decoration: none; }
/* running timeline */
ul.tl { list-style: none; margin: 0; padding: 0; }
ul.tl li { display: flex; gap: 10px; padding: 8px 0; border-bottom: 1px solid var(--bg-line); align-items: baseline; font-size: .92rem; line-height: 1.4; }
ul.tl li:last-child { border-bottom: none; }
.tl-time { color: var(--fade); font-variant-numeric: tabular-nums; font-size: .78rem; min-width: 60px; flex: none; }
.tl-body { flex: 1; }
.tl-amt { margin-left: 6px; font-variant-numeric: tabular-nums; }
li.start .tl-body { color: var(--accent); font-weight: 600; }
li.scar .tl-body, li.confidence .tl-body { font-style: italic; }
.tl-body a.hand { color: var(--accent); text-decoration: none; white-space: nowrap; }
/* quick-capture (no LLM) + inline correction controls */
.quick { display: flex; flex-wrap: wrap; gap: 6px; margin-top: 14px; }
.quick input { width: 100px; background: var(--bg-line); border: 1px solid var(--border);
border-radius: 8px; padding: 8px 10px; color: var(--text); }
.quick input:focus { outline: none; border-color: var(--accent); }
.quick button { background: var(--accent); color: #0a0a0a; border: 1px solid var(--accent);
border-radius: 8px; padding: 8px 12px; cursor: pointer; font-weight: 600; }
button.mini { background: none; border: none; color: var(--fade); cursor: pointer;
font-size: .9rem; padding: 0 6px; }
button.mini:active { color: var(--accent); }
</style> </style>
</head> </head>
<body> <body>
@@ -207,6 +227,30 @@
} catch(e){ alert('Delete failed: '+e.message); } } catch(e){ alert('Delete failed: '+e.message); }
} }
// Quick-capture (no LLM): post a number to a direct endpoint, then refresh.
function numVal(id){ const el = document.getElementById(id); return Number(((el && el.value) || '').replace(/[^0-9.]/g,'')); }
async function postQuick(url, amount){
const r = await fetch(url, { method:'POST', headers:{'Content-Type':'application/json'}, body: JSON.stringify({ amount }) });
const d = await r.json();
if(!d.ok){ alert(d.error || 'failed'); return false; }
return true;
}
async function postStack(){ const v = numVal('qStack'); if(v && await postQuick('/session/stack', v)){ document.getElementById('qStack').value=''; refresh(); } }
async function postBuyin(){ const v = numVal('qBuyin'); if(v && await postQuick('/session/buyin', v)){ document.getElementById('qBuyin').value=''; refresh(); } }
async function postCashout(){
if(!curSession) return;
const v = numVal('qCashout'); if(!v) return;
const r = await fetch('/session/'+curSession.id, { method:'PATCH', headers:{'Content-Type':'application/json'}, body: JSON.stringify({ cash_out: v }) });
if(!(await r.json()).ok){ alert('failed'); return; }
document.getElementById('qCashout').value=''; refresh();
}
async function renamePlayer(id, current){
const name = prompt('Rename player', current || ''); if(!name) return;
const r = await fetch('/player/'+id, { method:'PATCH', headers:{'Content-Type':'application/json'}, body: JSON.stringify({ name }) });
if(!(await r.json()).ok){ alert('failed'); return; }
refresh();
}
function render(data){ function render(data){
const s = data.session; const s = data.session;
if (!s) { if (!s) {
@@ -219,7 +263,9 @@
} }
curSession = s; curSession = s;
const stack = data.stack || {}; const stack = data.stack || {};
const timeline = data.timeline || [];
const hands = data.hands || []; const hands = data.hands || [];
const roster = data.roster || [];
const villains = data.villains || []; const villains = data.villains || [];
const notes = data.notes || []; const notes = data.notes || [];
const stats = data.stats || {}; const stats = data.stats || {};
@@ -274,7 +320,25 @@
<span class="stack-meta">bought in ${money(stack.buy_in)}<br>${(stack.log||[]).length} update(s)</span> <span class="stack-meta">bought in ${money(stack.buy_in)}<br>${(stack.log||[]).length} update(s)</span>
</div> </div>
${sparkline(stack.log || [])} ${sparkline(stack.log || [])}
${stack.current == null ? '<p class="empty" style="margin:12px 0 0">No stack logged yet — tell Lyra your stack ("I\'m at 350").</p>' : ''} ${stack.current == null ? '<p class="empty" style="margin:12px 0 0">No stack logged yet — log it below or tell Lyra ("I\'m at 350").</p>' : ''}
<div class="quick">
<input id="qStack" type="number" inputmode="decimal" placeholder="Stack $" onkeydown="if(event.key==='Enter')postStack()">
<button onclick="postStack()">Log stack</button>
<input id="qBuyin" type="number" inputmode="decimal" placeholder="Buy-in $" onkeydown="if(event.key==='Enter')postBuyin()">
<button onclick="postBuyin()">Add buy-in</button>
<input id="qCashout" type="number" inputmode="decimal" placeholder="Cash out $" onkeydown="if(event.key==='Enter')postCashout()">
<button onclick="postCashout()">Cash out</button>
</div>
</div>
<div class="card">
<p class="label">📜 Timeline</p>
${timeline.length ? `<ul class="tl">${timeline.map(e => `
<li class="${esc(e.kind)}">
<span class="tl-time">${esc(e.time)}</span>
<span class="tl-body">${esc(e.text)}${e.amount != null ? ` <b class="tl-amt">${money(e.amount)}</b>` : ''}${e.result != null ? ` <span class="res ${e.result>=0?'up':'down'}">${signed(e.result)}</span>` : ''}${e.hand_id ? ` <a class="hand" href="/hand/${e.hand_id}">hand </a>` : ''}</span>
</li>`).join('')}</ul>`
: '<p class="empty">Nothing yet tonight — the running log fills in as you play.</p>'}
</div> </div>
<div class="card"> <div class="card">
@@ -306,11 +370,25 @@
: '<p class="empty">No scars logged — mistakes to study land here.</p>'} : '<p class="empty">No scars logged — mistakes to study land here.</p>'}
</div> </div>
<div class="card">
<p class="label">🪑 Table (${roster.length})</p>
${roster.length ? `<ul class="rows">${roster.map(v => `
<li class="villain">
${v.seat ? `<span class="cat">${esc(v.seat)}</span> ` : ''}<b>${esc(v.name)}</b>
${v.category ? `<span class="cat">[${esc(v.category)}]</span>` : ''}
${v.reads ? `<span class="cat">· ${v.reads} read${v.reads===1?'':'s'}</span>` : ''}
<button class="mini" title="Rename / fix" onclick="renamePlayer(${v.id}, '${esc(v.name||'').replace(/'/g,"\\'")}')"></button>
${v.last_note ? `<div class="note-meta">“${esc(v.last_note)}”</div>` : ''}
</li>`).join('')}</ul>`
: '<p class="empty">No roster yet — tell Lyra who is at the table.</p>'}
</div>
<div class="card"> <div class="card">
<p class="label">Villains seen</p> <p class="label">Villains seen</p>
${villains.length ? `<ul class="rows">${villains.map(v => ` ${villains.length ? `<ul class="rows">${villains.map(v => `
<li class="villain"> <li class="villain">
<b>${esc(v.name)}</b> ${v.category ? `<span class="cat">[${esc(v.category)}]</span>` : ''} <b>${esc(v.name)}</b> ${v.category ? `<span class="cat">[${esc(v.category)}]</span>` : ''}
<button class="mini" title="Rename / fix" onclick="renamePlayer(${v.id}, '${esc(v.name||'').replace(/'/g,"\\'")}')"></button>
${v.tendencies ? `<div>${esc(v.tendencies)}</div>` : ''} ${v.tendencies ? `<div>${esc(v.tendencies)}</div>` : ''}
${v.last_note ? `<div class="note-meta">“${esc(v.last_note)}”</div>` : ''} ${v.last_note ? `<div class="note-meta">“${esc(v.last_note)}”</div>` : ''}
</li>`).join('')}</ul>` </li>`).join('')}</ul>`
+48 -5
View File
@@ -56,6 +56,16 @@ body.dark {
html { html {
overscroll-behavior: none; overscroll-behavior: none;
/* Stop iOS from inflating font sizes when the device rotates to landscape (and
leaving them big on rotate back). Every other page sets this; the chat didn't. */
-webkit-text-size-adjust: 100%;
text-size-adjust: 100%;
}
html {
/* Paints the iOS home-indicator strip below the dvh shell; match the tab bar so the
bar looks like it continues to the physical bottom edge. */
background: var(--bg-line);
} }
body { body {
@@ -826,15 +836,17 @@ select:hover {
@media screen and (max-width: 768px) { @media screen and (max-width: 768px) {
body { body {
padding: 0; padding: 0;
background: var(--bg-elev); /* matches the tab bar so any strip below #chat is seamless */ background: var(--bg-line); /* matches the tab bar so any strip below #chat is seamless */
} }
#chat { #chat {
position: fixed; position: fixed;
top: 0; left: 0; right: 0; top: 0; left: 0; right: 0;
width: 100%; width: 100%;
height: 100dvh; /* the *visible* viewport (excludes the home-indicator zone); height: 100vh; /* fallback for old browsers */
overrides the base 95vh. Body bg matches the bar below it. */ height: 100dvh; /* the *visible* viewport keep all content (incl. the tab bar)
inside what iOS actually paints, so nothing is clipped into the
home-indicator dead zone. The strip below is matched in color. */
background: var(--bg-dark); background: var(--bg-dark);
border-radius: 0; border-radius: 0;
border: none; border: none;
@@ -918,8 +930,11 @@ select:hover {
display: flex; display: flex;
flex: none; /* never let it be compressed/clipped by the flex column */ flex: none; /* never let it be compressed/clipped by the flex column */
border-top: 1px solid var(--border); border-top: 1px solid var(--border);
background: var(--bg-elev); background: var(--bg-line); /* lighter than the page so it reads as a solid bar */
padding-bottom: 6px; /* 100dvh already excludes the home-indicator zone */ /* Shell is 100dvh, so the bar sits at the bottom of the rendered area with the icons
fully visible. Minimal padding keeps them low; the home-indicator strip just below
the rendered area is painted the same color (html bg) so the bar looks continuous. */
padding-bottom: 4px;
padding-left: env(safe-area-inset-left); padding-left: env(safe-area-inset-left);
padding-right: env(safe-area-inset-right); padding-right: env(safe-area-inset-right);
} }
@@ -1227,3 +1242,31 @@ select:hover {
scroll-behavior: auto !important; scroll-behavior: auto !important;
} }
} }
/* Stack quick-capture (2nd input box on the chat page) — logs without the LLM. */
#stackQuick {
display: flex;
gap: 8px;
align-items: center;
padding: 6px 12px;
border-top: 1px solid var(--border);
background: var(--bg-panel);
}
#stackQuick input {
flex: 1;
min-width: 0;
padding: 8px 10px;
background: var(--bg-elev);
color: inherit;
border: 1px solid var(--border);
border-radius: 8px;
}
#stackQuick button {
padding: 8px 14px;
background: var(--accent);
color: #000;
border: none;
border-radius: 8px;
font-weight: 600;
cursor: pointer;
}
+86 -16
View File
@@ -1,4 +1,4 @@
"""Live chat: the deliberation pass (think privately before answering).""" """The mind pipeline: the deliberation pass (think privately before answering)."""
from __future__ import annotations from __future__ import annotations
import importlib import importlib
@@ -13,31 +13,32 @@ def lyra(tmp_path, monkeypatch):
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts]) monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
import lyra.memory as memory import lyra.memory as memory
importlib.reload(memory) importlib.reload(memory)
import lyra.chat as chat import lyra.mind as mind
importlib.reload(chat) importlib.reload(mind)
return memory, chat return memory, mind
def test_should_deliberate_skips_trivial(lyra): def test_should_deliberate_skips_trivial(lyra):
_, chat = lyra _, mind = lyra
assert chat._should_deliberate("How would we actually start building this?") assert mind._should_deliberate("How would we actually start building this?")
assert chat._should_deliberate("I disagree, that seems risky") assert mind._should_deliberate("I disagree, that seems risky")
for trivial in ("ok", "lol", "thanks", "yeah", "nice", "👍", "k"): for trivial in ("ok", "lol", "thanks", "yeah", "nice", "👍", "k"):
assert not chat._should_deliberate(trivial) assert not mind._should_deliberate(trivial)
assert not chat._should_deliberate("ok!") # punctuation stripped assert not mind._should_deliberate("ok!") # punctuation stripped
assert not chat._should_deliberate("hey") # too short assert not mind._should_deliberate("hey") # too short
def test_deliberation_note_runs_and_appends(lyra, monkeypatch): def test_deliberation_note_runs_and_appends(lyra, monkeypatch):
_, chat = lyra memory, mind = lyra
calls = [] calls = []
def fake_complete(messages, backend=None, model=None): def fake_complete(messages, backend=None, model=None):
calls.append(messages) calls.append(messages)
return "I actually think the first move is the smallest end-to-end slice." return "I actually think the first move is the smallest end-to-end slice."
monkeypatch.setattr(chat.llm, "complete", fake_complete) memory.ensure_session("s1")
note = chat._deliberation_note("s1", "How would we start on this?", "cloud", None, []) monkeypatch.setattr(mind.llm, "complete", fake_complete)
note = mind._deliberation_note("s1", "How would we start on this?", "cloud", None)
assert note and note["role"] == "system" assert note and note["role"] == "system"
assert "first move is the smallest" in note["content"] # her thinking carried in assert "first move is the smallest" in note["content"] # her thinking carried in
assert "numbered list" in note["content"].lower() # voice enforcement attached assert "numbered list" in note["content"].lower() # voice enforcement attached
@@ -45,9 +46,78 @@ def test_deliberation_note_runs_and_appends(lyra, monkeypatch):
def test_deliberation_skipped_when_disabled(lyra, monkeypatch): def test_deliberation_skipped_when_disabled(lyra, monkeypatch):
_, chat = lyra _, mind = lyra
monkeypatch.setenv("CHAT_DELIBERATE", "false") monkeypatch.setenv("CHAT_DELIBERATE", "false")
called = [] called = []
monkeypatch.setattr(chat.llm, "complete", lambda *a, **k: called.append(1) or "x") monkeypatch.setattr(mind.llm, "complete", lambda *a, **k: called.append(1) or "x")
assert chat._deliberation_note("s1", "a real substantive question here", "cloud", None, []) is None assert mind._deliberation_note("s1", "a real substantive question here", "cloud", None) is None
assert called == [] # no LLM call when off assert called == [] # no LLM call when off
def test_persona_core_is_tight_situational_is_gated(lyra):
memory, mind = lyra
from lyra import persona
core, full = persona.core_prompt(), persona.system_prompt()
assert "How you talk" in core and "How you actually work" not in core # voice core, self-model not
assert len(core) < len(full) and persona.section("How you actually work")
memory.ensure_session("s1")
casual = " ".join(m["content"] for m in mind.build_messages("s1", "any dinner ideas tonight?")
if m["role"] == "system")
meta = " ".join(m["content"] for m in mind.build_messages("s1", "how does your memory actually work?")
if m["role"] == "system")
assert "How you actually work" not in casual # situational section omitted on a casual turn
assert "How you actually work" in meta # pulled in for a meta question
def test_assemble_runs_the_pipeline(lyra, monkeypatch):
memory, mind = lyra
monkeypatch.setenv("CHAT_DELIBERATE", "false") # keep it offline for the structure test
memory.ensure_session("s1")
turn = mind.assemble("s1", "hey what's up", "cloud", None)
assert turn.mode is not None # route ran
assert turn.messages and turn.messages[-1]["role"] == "user" # compose ran
assert turn.messages[-1]["content"] == "hey what's up"
# --- mind/mouth split (P3) ----------------------------------------------
def test_mouth_target_off_by_default(monkeypatch):
import importlib
from lyra import config
monkeypatch.delenv("MOUTH_BACKEND", raising=False)
monkeypatch.delenv("MOUTH_MODEL", raising=False)
import lyra.chat as chat
importlib.reload(chat)
assert chat._mouth_target(config.load(), "cloud", "gpt-4o") is None # mouth == mind
def test_mouth_target_when_configured(monkeypatch):
import importlib
from lyra import config
monkeypatch.setenv("MOUTH_BACKEND", "local")
monkeypatch.setenv("MOUTH_MODEL", "dolphin3:8b")
import lyra.chat as chat
importlib.reload(chat)
assert chat._mouth_target(config.load(), "cloud", "gpt-4o") == ("local", "dolphin3:8b")
def test_voice_messages_carries_draft_and_instruction(lyra):
_, mind = lyra
out = mind.voice_messages([{"role": "user", "content": "hi"}], "draft with FACT 42")
assert out[-2] == {"role": "assistant", "content": "draft with FACT 42"}
assert out[-1]["role"] == "system" and "your own voice" in out[-1]["content"].lower()
def test_voice_pass_revoices_then_falls_back(lyra, monkeypatch):
_, mind = lyra
import importlib
import lyra.chat as chat
importlib.reload(chat)
monkeypatch.setattr(chat.llm, "complete", lambda msgs, backend=None, model=None: "voiced (FACT 42)")
assert chat._voice_pass([], "draft FACT 42", "local", "dolphin3:8b") == "voiced (FACT 42)"
# on failure it keeps the mind's draft (chat must not break)
def boom(*a, **k):
raise RuntimeError("mouth down")
monkeypatch.setattr(chat.llm, "complete", boom)
assert chat._voice_pass([], "draft FACT 42", "local", "dolphin3:8b") == "draft FACT 42"
+48 -1
View File
@@ -20,7 +20,7 @@ def lyra(tmp_path, monkeypatch):
# reflect() expects JSON back; everything else just stores the text. # reflect() expects JSON back; everything else just stores the text.
monkeypatch.setattr( monkeypatch.setattr(
llm, "complete", llm, "complete",
lambda messages, backend=None, model=None: lambda messages, backend=None, model=None, **_:
'{"mood":"focused","valence":0.7,"new_reflections":["I got some thinking done."]}', '{"mood":"focused","valence":0.7,"new_reflections":["I got some thinking done."]}',
) )
@@ -77,3 +77,50 @@ def test_dream_cycle_consolidates_and_persists(lyra):
state2 = dream.dream_cycle(force=False) state2 = dream.dream_cycle(force=False)
assert state2["dream"]["cycle_count"] == 2 assert state2["dream"]["cycle_count"] == 2
assert state2["drives"]["continuity"] == 0.0 assert state2["drives"]["continuity"] == 0.0
def test_dream_cycle_stops_when_over_budget(lyra, monkeypatch):
memory = lyra
from lyra import dream, notify
for k in range(7):
_seed(memory, f"s{k}", 4)
# Go over budget right after the first heavy stage: first check passes
# (summarize runs), every check after trips.
checks = {"n": 0}
def fake_over(deadline):
checks["n"] += 1
return checks["n"] > 1
monkeypatch.setattr(dream, "_over_budget", fake_over)
pings: list = []
monkeypatch.setattr(notify, "push",
lambda title, message, **k: pings.append((title, message)) or True)
state = dream.dream_cycle(force=True)
acts = state["dream"]["last_actions"]
assert any("stopped early" in a for a in acts) # bailed
assert not any("reflected" in a for a in acts) # later stage skipped
assert pings, "expected an over-budget ntfy push"
def test_coherence_failure_does_not_sink_the_cycle(lyra, monkeypatch):
memory = lyra
from lyra import dream, profile
for k in range(3):
_seed(memory, f"s{k}", 4)
# A backend hiccup in the consolidation rebuild must not abort the whole pass
# (this is what broke the cycle when the MI50 was down).
monkeypatch.setattr(profile, "rebuild_profile",
lambda *a, **k: (_ for _ in ()).throw(RuntimeError("backend down")))
state = dream.dream_cycle(force=True)
acts = state["dream"]["last_actions"]
assert any("coherence" in a and "fail" in a for a in acts) # logged, not fatal
assert any("reflected" in a for a in acts) # cycle still reached reflection
+44
View File
@@ -0,0 +1,44 @@
"""Era rollups: only re-digest months whose session count changed (incremental)."""
from __future__ import annotations
import importlib
import pytest
from lyra.memory import Era
@pytest.fixture
def era(monkeypatch):
import lyra.era as era
importlib.reload(era)
return era
def test_rebuild_eras_is_incremental(era, monkeypatch):
by_month = {"2025-01": ["a", "b"], "2025-02": ["c"]}
stored: dict[str, int] = {}
built: list[str] = []
monkeypatch.setattr(era.memory, "summaries_by_month", lambda: dict(by_month))
monkeypatch.setattr(era.memory, "list_eras",
lambda: [Era(m, "x", c, "t") for m, c in stored.items()])
monkeypatch.setattr(era.memory, "store_era",
lambda month, content, n: (stored.__setitem__(month, n), built.append(month)))
monkeypatch.setattr(era, "_digest_month", lambda gists, backend: "digest") # no LLM
r1 = era.rebuild_eras(backend="local") # first pass: both built
assert r1["built"] == 2 and r1["skipped"] == 0
built.clear()
r2 = era.rebuild_eras(backend="local") # nothing changed: all skipped
assert r2["built"] == 0 and r2["skipped"] == 2 and built == []
built.clear()
by_month["2025-02"].append("d") # one month gains a session
r3 = era.rebuild_eras(backend="local")
assert r3["built"] == 1 and r3["skipped"] == 1 and built == ["2025-02"]
built.clear()
r4 = era.rebuild_eras(backend="local", force=True) # force rebuilds all
assert r4["built"] == 2
+109
View File
@@ -0,0 +1,109 @@
"""record_hand idempotency + straddle parse coverage.
The chat turn can execute twice the SSE stream and the blocking fallback both run
server-side (two 'chat request' lines, 1s apart) which double-logged the same hand
once logging became guaranteed. A system-of-record must record an event once."""
from __future__ import annotations
import importlib
import pytest
@pytest.fixture
def poker(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
return poker
_PARSED = {
"game": "NLH", "hero_pos": "SB", "hero_cards": ["Ah", "Kh"],
"board": ["Kd", "9d", "4c", "2s"], "players": [], "actions": [],
"result": {"hero_net": -200, "pot": 400},
}
def test_record_hand_is_idempotent_across_double_execution(poker, monkeypatch):
sid = poker.start_session(venue="Borgata", stakes="1/3", buy_in=400)
monkeypatch.setattr(poker, "parse_hand", lambda *a, **k: dict(_PARSED))
first = poker.record_hand("i have AhKh in the SB, btn straddle, ...")
second = poker.record_hand("i have AhKh in the SB, btn straddle, ...") # the duplicate turn
assert first["id"] == second["id"]
assert second.get("deduped") is True
assert len(poker.list_hands(sid)) == 1 # ledger holds ONE, not two
def test_record_hand_does_not_dedupe_a_genuinely_different_hand(poker, monkeypatch):
sid = poker.start_session(venue="Borgata", stakes="1/3", buy_in=400)
monkeypatch.setattr(poker, "parse_hand", lambda *a, **k: dict(_PARSED))
poker.record_hand("hand one")
other = dict(_PARSED, hero_cards=["Qs", "Qd"], board=["Qh", "7c", "2s"])
monkeypatch.setattr(poker, "parse_hand", lambda *a, **k: dict(other))
poker.record_hand("a different hand entirely")
assert len(poker.list_hands(sid)) == 2 # distinct hands both land
def test_dedupe_handles_boardless_hand(poker, monkeypatch):
# NULL-safe match: a preflop-only hand (no board) still dedupes.
sid = poker.start_session(venue="Borgata", buy_in=400)
preflop = {"game": "NLH", "hero_pos": "BTN", "hero_cards": ["As", "Ks"],
"board": [], "players": [], "actions": [], "result": {"hero_net": 30}}
monkeypatch.setattr(poker, "parse_hand", lambda *a, **k: dict(preflop))
a = poker.record_hand("AKs btn, i open everyone folds")
b = poker.record_hand("AKs btn, i open everyone folds")
assert a["id"] == b["id"] and len(poker.list_hands(sid)) == 1
def test_parse_prompt_records_straddles():
from lyra import poker as pk
p = pk._HAND_PARSE_PROMPT.lower()
assert "straddle" in p and "button straddle" in p
assert "acts last preflop" in p or "act last preflop" in p
# --- hero stack auto-fill from the last logged stack ----------------------
def test_hero_stack_filled_from_last_stack_log(poker, monkeypatch):
poker.start_session(venue="Meadows", stakes="1/3", buy_in=400)
poker.log_stack(275) # his last reported stack
monkeypatch.setattr(poker, "parse_hand",
lambda *a, **k: {"game": "NLH", "hero_involved": True,
"hero_pos": "CO", "hero_cards": ["As", "Ks"],
"board": ["2c"], "players": [], "actions": [],
"result": {"hero_net": 50}})
out = poker.record_hand("AKs in the CO, i raise, flop 2c...")
stored = poker.get_hand(out["id"])["structured"]
hero = next(pl for pl in stored["players"] if pl.get("hero"))
assert hero["stack"] == 275 and hero.get("stack_inferred") is True
def test_stated_stack_is_never_overridden(poker, monkeypatch):
poker.start_session(venue="Meadows", buy_in=400)
poker.log_stack(275)
monkeypatch.setattr(poker, "parse_hand",
lambda *a, **k: {"game": "NLH", "hero_involved": True,
"hero_pos": "BTN", "hero_cards": ["Qh", "Qd"],
"players": [{"pos": "BTN", "stack": 500}],
"board": [], "actions": [], "result": {}})
out = poker.record_hand("500 deep on the btn with QQ")
hero = next(pl for pl in poker.get_hand(out["id"])["structured"]["players"]
if pl.get("pos") == "BTN")
assert hero["stack"] == 500 and not hero.get("stack_inferred")
def test_observed_hand_gets_no_hero_stack(poker, monkeypatch):
poker.start_session(venue="Meadows", buy_in=400)
poker.log_stack(275)
monkeypatch.setattr(poker, "parse_hand",
lambda *a, **k: {"game": "NLH", "hero_involved": False,
"hero_pos": None, "hero_cards": [],
"players": [{"pos": "CO", "cards": ["Kx", "Kx"]}],
"board": [], "actions": [], "result": {}})
out = poker.record_hand("the CO stacked off KK vs the nit")
assert all(not pl.get("stack_inferred") for pl in poker.get_hand(out["id"])["structured"]["players"])
+97
View File
@@ -0,0 +1,97 @@
"""Reliable hand logging: hero-hand guard, tool-visible history (B), forced log (A).
Root cause these guard: mid-session, memory.history() rebuilt past turns as
'hand -> narration' with tool calls stripped, few-shot-conditioning the model to
stop logging (clean history logged 4/4, the stripped history 0/4)."""
from __future__ import annotations
from types import SimpleNamespace
from lyra import poker_prompts as pp
# --- the hero-hand guard (who gets force-logged) --------------------------
def test_looks_like_hero_hand_true_for_brians_own_hand():
assert pp.looks_like_hero_hand("im utg with 2d2s. i raise to $15, btn calls")
assert pp.looks_like_hero_hand("300eff. i call btn w AsQs, flop Qh7c2s, i bet 20 he calls")
def test_looks_like_hero_hand_false_for_observed_and_chatter():
# A villain the actor (no I/me/my) must never be force-logged as Brian's hand.
assert not pp.looks_like_hero_hand("TAG limped A4o in the SB")
assert not pp.looks_like_hero_hand("how's the table looking tonight?")
assert not pp.looks_like_hero_hand("")
# --- Fix B: tool calls made visible in reconstructed history --------------
def _ex(role, content, at):
return SimpleNamespace(role=role, content=content, created_at=at, id=hash(at))
def test_history_marks_the_assistant_turn_that_logged(monkeypatch):
from lyra import mind, memory
recent = [
_ex("user", "i have 2d2s utg, flop 2c2hKs, quads", "2026-07-10T18:00:00.000000+00:00"),
_ex("assistant", "Sick cooler.", "2026-07-10T18:00:05.000000+00:00"),
_ex("user", "how am i doing", "2026-07-10T18:01:00.000000+00:00"),
_ex("assistant", "Up a grand.", "2026-07-10T18:01:03.000000+00:00"),
]
monkeypatch.setattr(memory, "tool_events", lambda sid: [
{"tool": "record_hand", "result": "Hand #62 logged — UTG 2d2s.",
"created_at": "2026-07-10T18:00:03.000000+00:00"},
{"tool": "session_state", "result": "net +1000",
"created_at": "2026-07-10T18:01:02.000000+00:00"},
])
msgs = mind._history_with_tools("s1", recent)
# each event is attributed to the assistant turn whose window it falls in
assert "record_hand → Hand #62 logged" in msgs[1]["content"]
assert msgs[1]["content"].endswith("Sick cooler.")
assert "session_state" in msgs[3]["content"]
# user turns are untouched
assert msgs[0]["content"] == recent[0].content
def test_history_no_marker_when_no_tools(monkeypatch):
from lyra import mind, memory
monkeypatch.setattr(memory, "tool_events", lambda sid: [])
recent = [_ex("assistant", "just talking", "2026-07-10T18:00:05.000000+00:00")]
assert mind._history_with_tools("s1", recent)[0]["content"] == "just talking"
# --- Fix A: force the log when the model skipped a hero hand ---------------
def _force_setup(monkeypatch, tool_calls):
from lyra import chat
monkeypatch.setattr(chat.llm, "chat_call",
lambda *a, **k: ({"role": "assistant"}, tool_calls))
dispatched = []
monkeypatch.setattr(chat.toolkit, "dispatch",
lambda name, args, ctx=None: dispatched.append(name) or "Hand #71 logged.")
monkeypatch.setattr(chat.memory, "add_tool_event", lambda *a, **k: 1)
return chat, dispatched
def test_forces_log_on_unlogged_hero_hand(monkeypatch):
chat, dispatched = _force_setup(monkeypatch, [{"id": "1", "name": "record_hand",
"arguments": '{"shorthand":"AsQs..."}'}])
forced = chat._ensure_hand_logged([], "300eff i call btn w AsQs, i bet 20", "HAND", [],
"cloud", None, {}, "s1")
assert forced == ["record_hand"] and dispatched == ["record_hand"]
def test_does_not_force_when_already_logged(monkeypatch):
chat, dispatched = _force_setup(monkeypatch, [])
forced = chat._ensure_hand_logged([], "i have AsQs, i bet", "HAND", ["record_hand"],
"cloud", None, {}, "s1")
assert forced == [] and dispatched == []
def test_does_not_force_non_hand_or_observed(monkeypatch):
chat, dispatched = _force_setup(monkeypatch, [])
# not a HAND turn
assert chat._ensure_hand_logged([], "down to 220", "LOG", [], "cloud", None, {}, "s1") == []
# HAND-classified but observed (no first person) → never force-logged as his
assert chat._ensure_hand_logged([], "TAG shoved AKo", "HAND", [], "cloud", None, {}, "s1") == []
assert dispatched == []
+126
View File
@@ -0,0 +1,126 @@
"""The canonical structured-hand contract (docs/HAND_HISTORY.md): normalize + export.
normalize_structured() is the single guarantee that every stored / replayed / exported
hand has the versioned shape RTO consumes.
"""
from __future__ import annotations
import importlib
import pytest
@pytest.fixture
def poker(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
return poker
def _full_hand():
return {
"game": "NLH", "stakes": "1/3", "hero_pos": "BTN",
"hero_cards": ["ah", "kh"],
"players": [
{"pos": "BTN", "stack": 300, "name": "Hero"},
{"pos": "BB", "stack": 250, "name": "Sal", "cards": ["qs", "qd"]},
],
"actions": [
{"street": "preflop", "pos": "BTN", "action": "raise", "amount": 15},
{"street": "flop", "board": ["7♦", "2♣", "5♥"]},
{"street": "flop", "pos": "BB", "action": "check"},
],
"board": ["7♦", "2♣", "5♥"],
"result": {"pot": 40, "hero_net": 25, "summary": "won at showdown"},
}
def test_stamps_version(poker):
out = poker.normalize_structured({"hero_pos": "CO"})
assert out["schema_version"] == poker.HAND_SCHEMA_VERSION
def test_observed_hand_never_attributed_to_hero(poker):
# Brian narrated a hand between two other players — hero_involved=false.
out = poker.normalize_structured({
"hero_involved": False,
"hero_pos": "CO", "hero_cards": ["Kx", "Kx"], # model slipped these in
"players": [{"pos": "CO", "cards": ["Kx", "Kx"]}, {"pos": "BB", "cards": ["Ax", "Ax"]}],
"result": {"pot": 600, "hero_net": 300},
})
assert out["hero_pos"] is None # not pinned to Brian
assert out["hero_cards"] == []
assert out["result"]["hero_net"] is None # a pot he wasn't in
assert not any(pl.get("hero") for pl in out["players"]) # nobody flagged hero
def test_hero_hand_still_attributed(poker):
out = poker.normalize_structured({
"hero_involved": True, "hero_pos": "BTN", "hero_cards": ["As", "Ks"],
"players": [{"pos": "BTN"}]})
assert out["hero_pos"] == "BTN"
hero = next(pl for pl in out["players"] if pl.get("pos") == "BTN")
assert hero.get("hero") and hero["cards"] == ["As", "Ks"]
def test_card_normalization(poker):
out = poker.normalize_structured(_full_hand())
assert out["hero_cards"] == ["Ah", "Kh"] # lowercased input -> canonical
assert out["board"] == ["7d", "2c", "5h"] # unicode suits -> letters
assert out["actions"][1]["board"] == ["7d", "2c", "5h"]
# ten + suit symbol together
assert poker.normalize_structured({"board": ["10♠"]})["board"] == ["Ts"]
def test_unknown_cards_preserved(poker):
out = poker.normalize_structured({"hero_cards": ["Ax", "x"], "board": ["Ax", "4x", "x"]})
assert out["hero_cards"] == ["Ax", "x"] # placeholders kept, not dropped
assert out["completeness"]["cards"] is False
assert out["completeness"]["board"] is False
def test_hero_synced_into_players(poker):
out = poker.normalize_structured(_full_hand())
hero = next(p for p in out["players"] if p["pos"] == "BTN")
assert hero["hero"] is True
assert hero["cards"] == ["Ah", "Kh"] # mirrored from hero_cards
assert sum(1 for p in out["players"] if p.get("hero")) == 1
def test_hero_inserted_when_missing_from_players(poker):
out = poker.normalize_structured({"hero_pos": "SB", "hero_cards": ["As", "Ad"], "players": []})
assert out["players"] == [{"pos": "SB", "hero": True, "cards": ["As", "Ad"]}]
def test_completeness_full_hand(poker):
c = poker.normalize_structured(_full_hand())["completeness"]
assert c == {"cards": True, "board": True, "actions": True}
def test_idempotent(poker):
once = poker.normalize_structured(_full_hand())
twice = poker.normalize_structured(once)
assert once == twice
def test_store_and_get_roundtrip_is_normalized(poker):
sid = poker.start_session(venue="Meadows", stakes="1/3", buy_in=400)
hid = poker.store_hand_history(_full_hand(), session_id=sid, tag="well_played")
got = poker.get_hand(hid)["structured"]
assert got["schema_version"] == poker.HAND_SCHEMA_VERSION
assert got["board"] == ["7d", "2c", "5h"]
assert got["completeness"]["cards"] is True
def test_list_recent_hands_flags_structured(poker):
sid = poker.start_session(venue="Meadows", stakes="1/3", buy_in=400)
structured_id = poker.store_hand_history(_full_hand(), session_id=sid)
flat_id = poker.log_hand(session_id=sid, position="CO", hole_cards="Jc Jd")
rows = {r["id"]: r for r in poker.list_recent_hands()}
assert rows[structured_id]["has_structured"] is True
assert rows[flat_id]["has_structured"] is False
+55
View File
@@ -0,0 +1,55 @@
"""record_hand tolerance: recover when the model calls it with log_hand's fields."""
from __future__ import annotations
from lyra import tools
_GRANULAR = {
"position": "UTG", "hole_cards": "9h6h", "board": "8h7h5s 5h Kc",
"preflop": "raised to 15, BTN calls", "flop": "bet 25, BTN calls",
"turn": "bet 50, BTN raises to 150, call", "river": "check, BTN all in, snap call",
"showdown": "BTN shows 55 for quads, hero shows straight flush", "result": 300,
"tag": "notable", "lesson": "rare straight flush over quads",
}
def test_shorthand_from_fields_builds_a_parseable_description():
s = tools._shorthand_from_fields(_GRANULAR)
assert "UTG with 9h6h" in s
assert "Preflop:" in s and "River:" in s and "Board: 8h7h5s 5h Kc" in s
assert "Hero net: 300" in s
def test_record_hand_recovers_from_granular_fields(monkeypatch):
# The model called record_hand with log_hand's schema (no `shorthand`). The
# handler must reconstruct one and pass it to poker.record_hand, not fail empty.
seen = {}
def fake_record_hand(shorthand, stakes=None, tag=None, lesson=None, backend=None):
seen["shorthand"] = shorthand
return {"id": 42, "parsed": {"hero_involved": True, "hero_pos": "UTG",
"hero_cards": ["9h", "6h"]}, "linked": 0}
monkeypatch.setattr(tools.poker, "record_hand", fake_record_hand)
out = tools.dispatch("record_hand", _GRANULAR, {})
assert "UTG with 9h6h" in seen["shorthand"] # reconstructed, not empty
assert "#42" in out and "couldn't parse" not in out
def test_record_hand_still_prefers_explicit_shorthand(monkeypatch):
seen = {}
def fake_record_hand(shorthand, stakes=None, tag=None, lesson=None, backend=None):
seen["shorthand"] = shorthand
return {"id": 7, "parsed": {"hero_involved": True, "hero_pos": "BTN",
"hero_cards": ["As", "Ks"]}, "linked": 0}
monkeypatch.setattr(tools.poker, "record_hand", fake_record_hand)
tools.dispatch("record_hand", {"shorthand": "BTN AKs, I open, everyone folds"}, {})
assert seen["shorthand"] == "BTN AKs, I open, everyone folds" # verbatim, not rebuilt
def test_record_hand_empty_call_still_fails_gracefully(monkeypatch):
monkeypatch.setattr(tools.poker, "record_hand",
lambda *a, **k: {"id": None, "parsed": None})
out = tools.dispatch("record_hand", {}, {})
assert "couldn't parse" in out.lower()
+110
View File
@@ -0,0 +1,110 @@
"""llm.complete: `max_tokens` and `timeout` are threaded into the backend call.
The OpenAI client is faked so nothing hits a network. We assert the generation
cap reaches the create() call and the fast-fail timeout reaches the client (with
max_retries=0 so summary.py owns the retry policy, not the SDK).
"""
from __future__ import annotations
import types
import pytest
from lyra import llm
@pytest.fixture
def fake_openai(monkeypatch):
recorded: dict = {}
class FakeCompletions:
def create(self, **kwargs):
recorded["create"] = kwargs
msg = types.SimpleNamespace(content="ok")
return types.SimpleNamespace(choices=[types.SimpleNamespace(message=msg)])
class FakeClient:
def __init__(self, **kwargs):
recorded["client"] = kwargs
self.chat = types.SimpleNamespace(completions=FakeCompletions())
monkeypatch.setattr(llm, "OpenAI", FakeClient)
monkeypatch.setattr(llm, "load", lambda: types.SimpleNamespace(
mi50_base_url="http://mi50/v1", mi50_model="local-gpu",
cloud_model="gpt-4o-mini", openai_api_key="sk-test", local_model="l",
))
return recorded
def test_mi50_threads_max_tokens_and_timeout(fake_openai):
out = llm.complete([{"role": "user", "content": "hi"}],
backend="mi50", max_tokens=768, timeout=150)
assert out == "ok"
assert fake_openai["create"]["max_tokens"] == 768
assert fake_openai["client"]["timeout"] == 150
assert fake_openai["client"]["max_retries"] == 0
def test_cloud_threads_max_tokens_and_timeout(fake_openai):
llm.complete([{"role": "user", "content": "hi"}],
backend="cloud", max_tokens=768, timeout=150)
assert fake_openai["create"]["max_tokens"] == 768
assert fake_openai["client"]["timeout"] == 150
assert fake_openai["client"]["max_retries"] == 0
def test_fallback_uses_primary_when_it_succeeds(monkeypatch):
seen = []
monkeypatch.setattr(llm, "complete",
lambda messages, backend="local", model=None, **k:
seen.append(backend) or f"{backend}-ok")
out = llm.complete_with_fallback([{"role": "user", "content": "x"}],
backend="local", model="dolphin3:8b")
assert out == "local-ok"
assert seen == ["local"] # no fallback when the primary works
def test_fallback_to_cloud_when_primary_errors(monkeypatch):
monkeypatch.setattr(llm, "load", lambda: types.SimpleNamespace(openai_api_key="sk"))
seen = []
def fake(messages, backend="local", model=None, **k):
seen.append(backend)
if backend == "local":
raise RuntimeError("3090 is powered off")
return "cloud-ok"
monkeypatch.setattr(llm, "complete", fake)
out = llm.complete_with_fallback([{"role": "user", "content": "x"}],
backend="local", model="dolphin3:8b")
assert out == "cloud-ok"
assert seen == ["local", "cloud"]
def test_fallback_reraises_when_primary_is_already_cloud(monkeypatch):
monkeypatch.setattr(llm, "load", lambda: types.SimpleNamespace(openai_api_key="sk"))
monkeypatch.setattr(llm, "complete",
lambda *a, **k: (_ for _ in ()).throw(RuntimeError("boom")))
with pytest.raises(RuntimeError):
llm.complete_with_fallback([{"role": "user", "content": "x"}], backend="cloud")
def test_fallback_reraises_without_openai_key(monkeypatch):
monkeypatch.setattr(llm, "load", lambda: types.SimpleNamespace(openai_api_key=""))
monkeypatch.setattr(llm, "complete",
lambda *a, **k: (_ for _ in ()).throw(RuntimeError("down")))
with pytest.raises(RuntimeError):
llm.complete_with_fallback([{"role": "user", "content": "x"}], backend="local")
def test_default_bounds_calls_even_without_explicit_timeout(fake_openai):
# No cap / timeout passed -> still bounded: 300s default + no SDK retries, so
# no call can silently inherit the SDK's 600s x2 (~30 min). No length cap
# unless asked, though.
llm.complete([{"role": "user", "content": "hi"}], backend="mi50")
assert "max_tokens" not in fake_openai["create"]
assert fake_openai["client"]["timeout"] == 300
assert fake_openai["client"]["max_retries"] == 0
+30
View File
@@ -47,6 +47,36 @@ def test_every_mode_tool_exists(lyra):
assert set(mode.tools) <= set(tools.TOOLS), f"{mode.key} references unknown tools" assert set(mode.tools) <= set(tools.TOOLS), f"{mode.key} references unknown tools"
def test_set_mode_tool_switches_session(lyra):
memory, _, _, tools = lyra
memory.ensure_session("s1")
out = tools.dispatch("set_mode", {"mode": "decide"}, {"session_id": "s1"})
assert "Decide" in out and memory.get_session_mode("s1") == "decide"
# unknown mode is handled, session unchanged
assert "unknown" in tools.dispatch("set_mode", {"mode": "nope"}, {"session_id": "s1"}).lower()
assert memory.get_session_mode("s1") == "decide"
def test_work_modes_present_and_gated(lyra):
_, _, modes, tools = lyra
# the full set Brian chose
assert set(modes.MODES) == {"conversation", "poker_cash", "build", "explore", "study", "decide"}
# Decide = read-only lookups for context, no live logging; has a real card
decide = _names(tools.specs(modes.DECIDE.tools))
assert {"running_stats", "recent_sessions"} <= decide and "log_hand" not in decide
assert modes.DECIDE.card
# Build/Explore are conversational: base agency tools only, no live poker logging
for key in ("build", "explore"):
names = _names(tools.specs(modes.get(key).tools))
assert {"journal_write", "note", "think_about"} <= names
assert "log_hand" not in names and "start_session" not in names
assert modes.get(key).card # each has a real behavioral card
# Study = read-only review: lookups + equity, but no live logging
study = _names(tools.specs(modes.STUDY.tools))
assert {"running_stats", "analyze_spot", "player_profile"} <= study
assert "log_hand" not in study and "end_session" not in study
def test_mode_resolution_and_persistence(lyra): def test_mode_resolution_and_persistence(lyra):
memory, _, modes, _ = lyra memory, _, modes, _ = lyra
assert modes.get(None).key == modes.DEFAULT assert modes.get(None).key == modes.DEFAULT
+70
View File
@@ -0,0 +1,70 @@
"""Pattern desk: embedded scar recall + strategy gating in the scouting desk."""
from __future__ import annotations
import hashlib
import importlib
import numpy as np
import pytest
def _idx(w: str) -> int:
# Stable across processes (unlike hash()), so threshold tests aren't flaky.
return int.from_bytes(hashlib.md5(w.encode()).digest()[:4], "little") % 256
def _fake_embed(texts):
out = []
for t in texts:
v = np.zeros(256, dtype=np.float32)
for w in t.lower().split():
v[_idx(w)] += 1.0
out.append((v if v.any() else np.full(256, 1e-6, dtype=np.float32)).tolist())
return out
@pytest.fixture
def mods(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", _fake_embed)
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
import lyra.scouting as scouting
importlib.reload(scouting)
return poker, scouting
def test_scar_recall_finds_similar_past_leak(mods):
poker, _ = mods
old = poker.start_session(stakes="1/3", buy_in=300)
poker.log_ritual("scar", "overvalued top pair and stacked off on a wet board",
classification="punt", session_id=old)
poker.end_session(200, session_id=old)
hits = poker.recall_similar_rituals("stacked off top pair wet board again")
assert hits and hits[0]["classification"] == "punt"
def test_recall_excludes_current_session(mods):
poker, _ = mods
sid = poker.start_session(stakes="1/3", buy_in=300)
poker.log_ritual("scar", "punted river bluff into the nut flush", session_id=sid)
assert poker.recall_similar_rituals("river bluff nut flush punt", exclude_session=sid) == []
def test_pattern_pass_only_fires_on_strategic_talk(mods):
poker, scouting = mods
old = poker.start_session(stakes="1/3", buy_in=300)
poker.log_ritual("scar", "punting river bluffs into missed draws again",
classification="punt", session_id=old)
poker.end_session(200, session_id=old)
poker.start_session(stakes="1/3", buy_in=300, venue="Meadows")
# A routine, non-strategic line pays no embed and surfaces nothing.
assert scouting.scout("stack is 350 now", venue="Meadows") is None
# A real strategy question in the same shape recalls the leak. (The test stub
# embeds by shared tokens; real embeddings match on meaning/paraphrase.)
note = scouting.scout(
"why do i keep punting river bluffs into missed draws", venue="Meadows")
assert note and "punting river bluffs" in note
+105
View File
@@ -0,0 +1,105 @@
"""Perceive: cheap heuristic read of the moment, and route turning it into a nudge."""
from __future__ import annotations
import importlib
import pytest
from lyra import perceive
def test_reads_tilt():
m = perceive.read("I'm so fucking tilted, card dead all night, this is brutal!!")
assert m["tilt"] >= 0.5 and m["sentiment"] < 0 and m["kind"] == "emotional"
def test_reads_strategy_calm():
m = perceive.read("Should I fold the river here given his range and the board?")
assert m["kind"] == "strategic" and m["tilt"] < 0.4
def test_reads_up_energy():
m = perceive.read("Let's go!! crushing it tonight, feeling so good!")
assert m["sentiment"] > 0 and m["kind"] == "emotional"
def test_reads_build_and_casual():
assert perceive.read("let's refactor the cognition pipeline module").get("kind") == "build"
assert perceive.read("ok sounds good to me").get("kind") == "casual"
assert perceive.read("ok sounds good to me")["tilt"] == 0.0
@pytest.fixture
def mind(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
monkeypatch.setenv("CHAT_DELIBERATE", "false")
from lyra import llm
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
import lyra.memory as memory
importlib.reload(memory)
import lyra.mind as mind
importlib.reload(mind)
memory.ensure_session("s1")
return mind
def test_route_injects_tilt_nudge(mind):
turn = mind.assemble("s1", "ugh I'm steaming, fucking coolered again!!", "cloud", None)
assert turn.register == "steady"
sys_blob = " ".join(m["content"] for m in turn.messages if m["role"] == "system")
assert "on tilt" in sys_blob.lower() or "frustrated" in sys_blob.lower()
def test_route_quiet_on_neutral_turn(mind):
turn = mind.assemble("s1", "what did we decide about the schema yesterday?", "cloud", None)
assert turn.register is None # neutral -> no nudge
assert not (turn.moment or {}).get("note")
# --- Phase A pipeline fixes: poker mode suppresses the two mush sources ---
def test_poker_mode_suppresses_tilt_nudge(mind):
from lyra import memory
memory.set_session_mode("s1", "poker_cash")
turn = mind.assemble("s1", "ugh I'm steaming, fucking coolered again!!", "cloud", None)
assert turn.register is None # at the table, register comes from fragments
sys_blob = " ".join(m["content"] for m in turn.messages if m["role"] == "system")
assert "on tilt" not in sys_blob.lower() # false-positive lexicon nudge suppressed
def test_mode_menu_note_suppressed_in_poker(mind):
from lyra import modes
poker = " ".join(m["content"] for m in mind.build_messages("s1", "stack 350", mode=modes.CASH)
if m["role"] == "system")
build = " ".join(m["content"] for m in mind.build_messages("s1", "let's refactor", mode=modes.get("build"))
if m["role"] == "system")
assert "Your modes:" not in poker # no "offer to switch" note at the table
assert "Your modes:" in build # still present in a non-poker mode
# --- Phase B: sharded poker prompt (BASE + one fragment, no monolith) ---
def _poker_blob(mind, msg):
from lyra import modes
return " ".join(m["content"] for m in mind.build_messages("s1", msg, mode=modes.CASH)
if m["role"] == "system")
def test_poker_injects_base_plus_the_matching_fragment(mind):
blob = _poker_blob(mind, "I flopped a set with 99 on 9h4c2d and bet the turn")
assert "LOG FIRST" in blob # BASE is always on in poker
assert "MESSAGE TYPE: HAND" in blob # the fragment for THIS message
assert "MESSAGE TYPE: STATUS" not in blob # and not the others
assert "MESSAGE TYPE: READ" not in blob
def test_poker_fragment_changes_with_message_type(mind):
status = _poker_blob(mind, "it's 11:50pm, waiting for a seat")
assert "MESSAGE TYPE: STATUS" in status and "MESSAGE TYPE: HAND" not in status
def test_poker_monolith_no_longer_injected(mind):
from lyra import modes
blob = _poker_blob(mind, "stack 350")
assert "You move between two registers" not in blob # the old _CASH_CARD opener is gone
assert modes.CASH.card == "" # card sharded out
+44
View File
@@ -18,6 +18,50 @@ def lyra(tmp_path, monkeypatch):
return poker return poker
def test_disown_hand_clears_hero_attribution(lyra):
poker = lyra
sid = poker.start_session(venue="Meadows", buy_in=300)
hid = poker.store_hand_history(
{"hero_involved": True, "hero_pos": "MP", "hero_cards": ["As", "3d"],
"players": [{"pos": "MP", "cards": ["As", "3d"]}],
"result": {"pot": 600, "hero_net": 304}}, session_id=sid, tag="notable")
h = poker.disown_hand(hid)
assert h["position"] is None and h["hole_cards"] is None and h["result"] is None
st = h["structured"]
if isinstance(st, str):
import json
st = json.loads(st)
assert st["hero_pos"] is None and not any(pl.get("hero") for pl in st["players"])
def test_hud_notes_scoped_to_session_by_tag(lyra):
poker = lyra
from lyra import memory
sid = poker.start_session(venue="Meadows", stakes="1/3", buy_in=300)
# A note tagged to THIS session shows on its HUD...
memory.add_journal_entry("note", "villain 3 overfolds turn", source=f"poker:{sid}")
# ...her autonomous existential journaling (any other source) does NOT, even
# though it's written during the exact same window...
memory.add_journal_entry("journal", "the quiet dread between conversations", source="dream")
# ...nor a note from a *different* poker session.
memory.add_journal_entry("note", "some other night", source=f"poker:{sid + 999}")
contents = [n["content"] for n in poker.hud(sid)["notes"]]
assert contents == ["villain 3 overfolds turn"]
def test_note_tool_tags_live_poker_session(lyra):
poker = lyra
from lyra import tools
sid = poker.start_session(stakes="1/3", buy_in=300)
tools.dispatch("note", {"content": "whale just sat down seat 4"}, {})
assert poker.hud(sid)["notes"][0]["content"] == "whale just sat down seat 4"
poker.end_session(cash_out=300, session_id=sid)
# With no live session, a note falls back to the general journal (source=chat),
# so it does NOT attach to the just-closed session's HUD.
tools.dispatch("note", {"content": "random afternoon idea"}, {})
assert all(n["content"] != "random afternoon idea" for n in poker.hud(sid)["notes"])
def test_session_lifecycle_and_net(lyra): def test_session_lifecycle_and_net(lyra):
poker = lyra poker = lyra
sid = poker.start_session(venue="Meadows", stakes="1/3", buy_in=400) sid = poker.start_session(venue="Meadows", stakes="1/3", buy_in=400)
+82
View File
@@ -0,0 +1,82 @@
from __future__ import annotations
import importlib
import pytest
@pytest.fixture
def client(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
import lyra.web.server as server
importlib.reload(server)
from fastapi.testclient import TestClient
return TestClient(server.app), poker
def test_post_stack_logs_and_returns_state(client):
c, poker = client
poker.start_session(venue="Meadows", stakes="1/3", buy_in=400)
r = c.post("/session/stack", json={"amount": 373})
assert r.status_code == 200
body = r.json()
assert body["ok"] is True
assert body["stack"]["current"] == 373
assert body["stack"]["net"] == pytest.approx(-27)
def test_post_stack_without_session_errors(client):
c, _ = client
r = c.post("/session/stack", json={"amount": 373})
assert r.json()["ok"] is False
assert "error" in r.json()
def test_post_buyin_increments_total(client):
c, poker = client
poker.start_session(buy_in=400)
r = c.post("/session/buyin", json={"amount": 200})
assert r.json()["buy_in_total"] == pytest.approx(600)
def test_post_session_starts_live(client):
c, poker = client
r = c.post("/session", json={"venue": "Wheeling", "stakes": "1/3", "buy_in": 400})
sid = r.json()["id"]
assert poker.live_session()["id"] == sid
def test_post_hand_edit_and_delete(client):
c, poker = client
poker.start_session(buy_in=400)
r = c.post("/session/hand", json={"position": "BTN", "hole_cards": "22", "result": 120})
assert r.json()["ok"] is True
hid = r.json()["id"]
r2 = c.patch(f"/hand/{hid}", json={"hole_cards": "2c2d"})
assert r2.json()["ok"] is True
assert r2.json()["hand"]["hole_cards"] == "2c2d"
r3 = c.delete(f"/hand/{hid}")
assert r3.json()["ok"] is True
assert poker.get_hand(hid) is None
def test_post_read(client):
c, poker = client
poker.start_session(buy_in=400)
r = c.post("/session/read", json={"note": "3-bets light", "name": "James K"})
assert r.json()["ok"] is True
assert isinstance(r.json()["id"], int)
def test_rename_player_fixes_mislabel(client):
c, poker = client
pid = poker.upsert_player("Dave the rock", category="reg")
r = c.patch(f"/player/{pid}", json={"name": "Dave the mechanic"})
assert r.json()["ok"] is True
assert r.json()["player"]["name"] == "Dave the mechanic"
+33
View File
@@ -0,0 +1,33 @@
from __future__ import annotations
from lyra import tools
from lyra.poker_contract import OPERATIONS
def test_llm_tool_required_args_match_contract():
for op, decl in OPERATIONS.items():
name = decl["llm_tool"]
if not name:
continue
spec = tools.TOOLS[name]["spec"]
required = set(spec["function"]["parameters"]["required"])
assert required == set(decl["required"]), (
f"{op}: tools spec required {required} != contract {set(decl['required'])}"
)
def test_rest_routes_registered():
import lyra.web.server as server
registered = set()
for route in server.app.routes:
methods = getattr(route, "methods", None)
path = getattr(route, "path", None)
if not methods or not path:
continue
for m in methods:
registered.add((m, path))
for op, decl in OPERATIONS.items():
if not decl["rest"]:
continue
method, path = decl["rest"]
assert (method, path) in registered, f"{op}: {method} {path} not registered"
+137
View File
@@ -0,0 +1,137 @@
"""Poker-mode message classifier + fragment selection (pure, no DB)."""
from __future__ import annotations
from lyra import poker_prompts as pp
def c(msg, roster=()):
return pp.classify(msg, roster)
# --- the spec's canonical cases ---
def test_read_villain_action_beats_hand():
# A villain's action carries cards+position+verb but is NOT Brian's hand.
assert c("TAG limped A4o in the SB (UTG straddled)") == "READ"
assert c("Jonathan called the 3bet") == "READ"
assert c("the neck-tattoo guy shoved the turn") == "READ"
def test_hand_is_first_person():
assert c("Button straddle on. I limp UTG with 22. Flop 2d7cjh, I check-raise") == "HAND"
assert c("I flopped a set with 99 on 9h4c2d and bet the turn") == "HAND"
def test_hand_narrated_without_I_still_hand_not_read():
# No "I", but leads with a poker verb (not a name) + street/action → his hand.
assert c("Flopped bottom set with 22, bet $40 on the river, he folded 88") == "HAND"
def test_table_ops():
assert c("seat the table: TAG, Jonathan, Wheelz") == "TABLE"
assert c("table broke, I'm at a new table") == "TABLE"
assert c("I got moved to another table") == "TABLE"
def test_mental():
assert c("I feel like I'm being mean when I raise") == "MENTAL"
assert c("ugh I'm so tilted, card dead all night") == "MENTAL"
def test_status_is_not_a_mood():
assert c("it's 11:50pm, waiting for a seat") == "STATUS"
assert c("grabbing food, be right back") == "STATUS"
def test_log_bare_money():
assert c("I'm at 317 now") == "LOG"
assert c("stack is 540") == "LOG"
def test_chat_default():
assert c("should I have folded the river?") == "CHAT"
assert c("what do you think of this table so far") == "CHAT"
# --- the READ vs HAND boundary (the hard one) ---
def test_roster_handle_forces_read():
# A seated handle as the actor → READ even if lowercase / plain.
assert c("tag opened to 15 from the cutoff", roster=("TAG",)) == "READ"
def test_first_person_action_stays_hand_even_with_roster():
# Brian is the actor → HAND, not a read on a seated player mentioned nearby.
assert c("I 3bet TAG's open with AKs", roster=("TAG",)) == "HAND"
def test_all_caps_handle_reads_without_roster():
assert c("JD min-raised the button") == "READ"
# --- fragment selection ---
def test_fragment_for_maps_each_type():
for t in pp.MSG_TYPES:
assert pp.fragment_for(t) is pp.FRAGMENTS[t]
assert pp.fragment_for(None) is pp.FRAGMENTS["CHAT"]
assert pp.fragment_for("bogus") is pp.FRAGMENTS["CHAT"]
def test_base_is_nonempty_and_names_the_hard_rules():
assert "LOG FIRST" in pp.BASE
assert "descriptor" in pp.BASE and "session_state" in pp.BASE
# --- hardening: real-world phrasings that used to miss ---
def test_hardening_reads_ing_and_bare_descriptor():
assert c("TAG's been limping every pot", roster=("TAG",)) == "READ" # -ing form
assert c("the whale called again") == "READ" # bare "the <noun>"
assert c("saw JD open utg") == "READ"
def test_hardening_player_departures_are_table():
assert c("TAG busted") == "TABLE"
assert c("TAG left the table") == "TABLE"
assert c("new guy just sat down") == "TABLE"
def test_hardening_questions_never_log():
# "stack" appears but it's a strategy question, not a stack update.
assert c("should I stack off top set on that board?") == "CHAT"
assert c("was I good to call there with AK?") == "CHAT"
def test_hardening_mental_lexicon():
assert c("im getting coolered every hand, so sick of this") == "MENTAL"
assert c("this is brutal, run so bad") == "MENTAL"
def test_hardening_log_needs_number_or_result_word():
assert c("down to 220") == "LOG"
assert c("sitting on 450 now") == "LOG"
assert c("rebought for 300") == "LOG"
# first-person departure is Brian, not a roster op → not TABLE
assert c("I busted, heading home") != "TABLE"
# --- HAND fragment: route showdowns to the tool + no motivational mush ---
def test_hand_fragment_routes_showdowns_to_the_tool():
# A resolved showdown must be verified via analyze_spot, not eyeballed
# (the quad-kings-read-as-"kings-full" regression).
frag = pp.fragment_for("HAND")
assert "SHOWDOWN" in frag
assert "analyze_spot" in frag
assert "never eyeball" in frag.lower()
# names the hand class by street so "flopped quads" actually gets said
assert "street it mattered" in frag
def test_hand_fragment_bans_motivational_filler():
frag = pp.fragment_for("HAND")
assert "variance-evens-out" in frag
assert "life-lesson" in frag
# if there's no leak, say so instead of inventing a takeaway
assert "no leak" in frag.lower()
+84
View File
@@ -0,0 +1,84 @@
"""Profile derivation: fold only new gists into the existing profile (incremental).
The old pass re-digested all ~851 gists every consolidation; this checks the cheap
delta path fires in steady state and the full rebuild fires only when it should.
"""
from __future__ import annotations
import importlib
import pytest
from lyra.memory import Summary
@pytest.fixture
def prof(monkeypatch):
import lyra.profile as profile
importlib.reload(profile)
return profile
def _wire(profile, monkeypatch, gists, covered, existing):
"""Stub memory + the LLM passes; record which path ran."""
state = {"stored_content": existing, "stored_covered": covered, "calls": []}
monkeypatch.setattr(profile.memory, "list_summaries",
lambda: [Summary(f"s{i}", g, i, "t") for i, g in enumerate(gists)])
monkeypatch.setattr(profile.memory, "get_profile", lambda: state["stored_content"])
monkeypatch.setattr(profile.memory, "profile_sessions_covered", lambda: state["stored_covered"])
def set_profile(content, sessions_covered, profile_id="self"):
state["stored_content"], state["stored_covered"] = content, sessions_covered
monkeypatch.setattr(profile.memory, "set_profile", set_profile)
monkeypatch.setattr(profile, "_map_reduce",
lambda gists, backend: state["calls"].append(("map_reduce", len(gists))) or "facts")
monkeypatch.setattr(profile, "_call",
lambda prompt, body, backend: state["calls"].append(("fold",)) or "folded profile")
return state
def test_no_profile_yet_does_full_rebuild(prof, monkeypatch):
state = _wire(prof, monkeypatch, gists=["a", "b", "c"], covered=0, existing=None)
out = prof.rebuild_profile(backend="local")
assert state["calls"] == [("map_reduce", 3)] # mapped all three gists
assert out == "facts" and state["stored_covered"] == 3
def test_unchanged_skips_entirely(prof, monkeypatch):
state = _wire(prof, monkeypatch, gists=["a", "b"], covered=2, existing="old profile")
out = prof.rebuild_profile(backend="local")
assert state["calls"] == [] # no LLM work at all
assert out == "old profile"
def test_small_delta_folds_only_new(prof, monkeypatch):
state = _wire(prof, monkeypatch, gists=["a", "b", "c", "d"], covered=2, existing="old profile")
out = prof.rebuild_profile(backend="local")
assert state["calls"] == [("map_reduce", 2), ("fold",)] # mapped just the 2 new, then folded
assert out == "folded profile" and state["stored_covered"] == 4
def test_force_does_full_rebuild(prof, monkeypatch):
state = _wire(prof, monkeypatch, gists=["a", "b", "c"], covered=3, existing="old profile")
out = prof.rebuild_profile(backend="local", force=True)
assert state["calls"] == [("map_reduce", 3)] # ignored the up-to-date profile
assert out == "facts"
def test_big_gap_falls_back_to_full_rebuild(prof, monkeypatch):
gists = [str(i) for i in range(40)] # 30 new > FOLD_LIMIT
state = _wire(prof, monkeypatch, gists=gists, covered=10, existing="old profile")
out = prof.rebuild_profile(backend="local")
assert state["calls"] == [("map_reduce", 40)] # full rebuild, not a giant fold
assert out == "facts"
def test_crossing_cadence_forces_full_rebuild(prof, monkeypatch):
# covered=98, total=102 is a tiny delta, but it crosses the 100-session boundary.
gists = [str(i) for i in range(102)]
state = _wire(prof, monkeypatch, gists=gists, covered=98, existing="old profile")
out = prof.rebuild_profile(backend="local")
assert state["calls"] == [("map_reduce", 102)] # anti-drift full rebuild
assert out == "facts"
+3 -3
View File
@@ -28,7 +28,7 @@ def lyra(tmp_path, monkeypatch):
calls = [] calls = []
def fake_complete(messages, backend=None, model=None): def fake_complete(messages, backend=None, model=None, **_):
calls.append(messages) calls.append(messages)
# the examine step's system prompt is the one asking for self_critique # the examine step's system prompt is the one asking for self_critique
is_examine = "self_critique" in messages[0]["content"] is_examine = "self_critique" in messages[0]["content"]
@@ -69,7 +69,7 @@ def test_reflect_revises_and_records_critique(lyra):
def test_reflect_falls_back_to_draft_if_examine_unparseable(lyra, monkeypatch): def test_reflect_falls_back_to_draft_if_examine_unparseable(lyra, monkeypatch):
from lyra import llm, self_state from lyra import llm, self_state
def only_draft(messages, backend=None, model=None): def only_draft(messages, backend=None, model=None, **_):
return DRAFT if "self_critique" not in messages[0]["content"] else "not json at all" return DRAFT if "self_critique" not in messages[0]["content"] else "not json at all"
monkeypatch.setattr(llm, "complete", only_draft) monkeypatch.setattr(llm, "complete", only_draft)
@@ -87,7 +87,7 @@ def test_consolidation_rebuilds_narrative_from_reflections(lyra, monkeypatch):
"I wondered what the quiet is for"] "I wondered what the quiet is for"]
memory.set_self_state(st) memory.set_self_state(st)
def comp(messages, backend=None, model=None): def comp(messages, backend=None, model=None, **_):
# consolidation should synthesize from anchor + reflections, not the old bio # consolidation should synthesize from anchor + reflections, not the old bio
assert "supportive presence devoted to Brian" not in messages[1]["content"] assert "supportive presence devoted to Brian" not in messages[1]["content"]
return ('{"self_narrative":"I am Lyra, and lately I have been restless and curious ' return ('{"self_narrative":"I am Lyra, and lately I have been restless and curious '
+101
View File
@@ -0,0 +1,101 @@
"""Live table roster: seat players, attach reads by handle, roster on the HUD."""
from __future__ import annotations
import importlib
import numpy as np
import pytest
def _fake_embed(texts):
out = []
for t in texts:
v = np.zeros(64, dtype=np.float32)
for w in t.lower().split():
v[hash(w) % 64] += 1.0
out.append((v if v.any() else np.full(64, 1e-6, dtype=np.float32)).tolist())
return out
@pytest.fixture
def mods(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", _fake_embed)
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
import lyra.tools as tools
importlib.reload(tools)
return poker, tools
def test_seat_players_builds_roster(mods):
poker, _ = mods
poker.start_session(venue="Meadows", buy_in=300)
n = poker.seat_players(["TAG", "Jonathan", {"name": "Wheelz", "seat": "3"}])
assert n == 3
roster = poker.session_roster()
names = {r["name"] for r in roster}
assert names == {"TAG", "Jonathan", "Wheelz"}
assert next(r for r in roster if r["name"] == "Wheelz")["seat"] == "3"
def test_read_attaches_to_seated_player_by_handle(mods):
poker, _ = mods
poker.start_session(venue="Meadows", buy_in=300)
poker.seat_players(["TAG"])
poker.add_read(note="limped A4o from the SB, UTG straddle", name="TAG")
roster = poker.session_roster()
tag = next(r for r in roster if r["name"] == "TAG")
assert tag["reads"] == 1 and "A4o" in tag["last_note"]
# No duplicate TAG spawned — the read landed on the seated player.
assert sum(p["name"] == "TAG" for p in poker.get_villain_file()) == 1
def test_seat_players_tool_and_roster_in_hud(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
out = tools.dispatch("seat_players", {"players": [{"name": "TAG"}, {"name": "JD"}]}, {})
assert "TAG" in out and "JD" in out
assert len(poker.hud()["roster"]) == 2
def test_unseat_player_removes_from_roster_keeps_history(mods):
poker, _ = mods
poker.start_session(venue="Meadows", buy_in=300)
poker.seat_players(["TAG"])
poker.add_read(note="showed a bluff", name="TAG")
assert poker.unseat_player(name="TAG") is True
assert poker.session_roster() == [] # off the table
assert poker.player_profile("TAG")["reads"] # history intact
def test_clear_table_empties_roster_keeps_reads(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
poker.seat_players(["TAG", "Jonathan"])
poker.add_read(note="limped A4o", name="TAG")
out = tools.dispatch("clear_table", {}, {})
assert "cleared" in out.lower()
assert poker.session_roster() == [] # roster emptied
assert poker.player_profile("TAG")["reads"] # reads kept
# A live session is untouched by clearing the table.
assert poker.live_session() is not None
def test_seat_players_replace_swaps_to_new_table(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
poker.seat_players(["TAG", "Jonathan"])
tools.dispatch("seat_players", {"players": [{"name": "Doyle"}, {"name": "Ivey"}],
"replace": True}, {})
assert {r["name"] for r in poker.session_roster()} == {"Doyle", "Ivey"}
def test_seat_players_accepts_plain_name_list_via_tool(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
tools.dispatch("seat_players", {"players": "TAG, JD, Wheelz"}, {})
assert {r["name"] for r in poker.session_roster()} == {"TAG", "JD", "Wheelz"}
+73
View File
@@ -0,0 +1,73 @@
"""The scouting desk: named + descriptor recall, ambiguous→queue, generic→silence."""
from __future__ import annotations
import importlib
import numpy as np
import pytest
def _fake_embed(texts):
out = []
for t in texts:
v = np.zeros(64, dtype=np.float32)
for w in t.lower().split():
v[hash(w) % 64] += 1.0
out.append((v if v.any() else np.full(64, 1e-6, dtype=np.float32)).tolist())
return out
@pytest.fixture
def mods(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", _fake_embed)
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
import lyra.scouting as scouting
importlib.reload(scouting)
return poker, scouting
def test_named_player_surfaces_a_brief(mods):
poker, scouting = mods
sid = poker.start_session(venue="Meadows", stakes="1/3", buy_in=300)
pid = poker.upsert_player("Sleepy John", venue="Meadows", category="reg")
poker._c().execute(
"INSERT INTO player_observations (player_id, session_id, cards, created_at) VALUES (?,?,?,?)",
(pid, sid, "As Ks", poker._now()))
poker._c().commit()
note = scouting.scout("sleepy john just sat down on my left", venue="Meadows")
assert note and "Sleepy John" in note and "SCOUTING DESK" in note
def test_descriptor_high_match_surfaces_with_confirm(mods):
poker, scouting = mods
poker.create_descriptor_villain("neck tattoo sleeve arm", venue="Meadows", category="reg")
note = scouting.scout("the neck tattoo sleeve guy just 3bet me again", venue="Meadows")
assert note and "confirm it's the same guy" in note
def test_ambiguous_descriptor_queues_instead_of_interrupting(mods):
poker, scouting = mods
poker.create_descriptor_villain("neck tattoo sleeve arm", venue="Meadows")
note = scouting.scout("the neck tattoo guy raised", venue="Meadows")
assert note is None # didn't interrupt
q = poker.list_identity_queue()
assert q and q[0]["kind"] == "needs_clarification"
def test_generic_descriptor_stays_silent(mods):
poker, scouting = mods
poker.create_descriptor_villain("neck tattoo sleeve arm", venue="Meadows")
note = scouting.scout("the mid aged white guy with glasses raised", venue="Meadows")
assert note is None
assert poker.list_identity_queue() == [] # no queue spam for a non-identifier
def test_no_player_reference_returns_nothing(mods):
poker, scouting = mods
poker.upsert_player("Sleepy John", venue="Meadows")
assert scouting.scout("i folded pocket kings to a 4bet", venue="Meadows") is None
+142
View File
@@ -0,0 +1,142 @@
"""Summary consolidation: MI50 length cap, fast-fail, and cloud fallback.
Everything is stubbed no real backend is touched. These drive the behavior of
`summary._summarize_text`: try the primary backend a bounded number of times with
a capped generation length, and fall back to cloud if the primary keeps failing.
"""
from __future__ import annotations
import types
import pytest
from lyra import summary
@pytest.fixture
def calls(monkeypatch):
"""Capture every llm.complete call; per-test behavior via `fake.responder`."""
recorded: list[dict] = []
def fake_complete(messages, backend="local", model=None,
max_tokens=None, timeout=None):
recorded.append({"backend": backend, "max_tokens": max_tokens, "timeout": timeout})
return fake_complete.responder(backend)
fake_complete.responder = lambda backend: "gist"
monkeypatch.setattr(summary.llm, "complete", fake_complete)
monkeypatch.setattr(summary.time, "sleep", lambda *_: None) # instant backoff
return types.SimpleNamespace(recorded=recorded, fake=fake_complete)
def _set_key(monkeypatch, key="sk-test"):
monkeypatch.setattr(summary.config, "load",
lambda: types.SimpleNamespace(openai_api_key=key))
def test_falls_back_to_cloud_after_mi50_attempts(calls, monkeypatch):
_set_key(monkeypatch)
def responder(backend):
if backend == "mi50":
raise RuntimeError("Request timed out.")
return "cloud-gist"
calls.fake.responder = responder
out = summary._summarize_text("transcript", "mi50")
assert out == "cloud-gist"
assert [c["backend"] for c in calls.recorded] == ["mi50", "mi50", "cloud"]
def test_no_fallback_when_backend_is_cloud(calls, monkeypatch):
_set_key(monkeypatch)
calls.fake.responder = lambda backend: (_ for _ in ()).throw(RuntimeError("boom"))
with pytest.raises(RuntimeError):
summary._summarize_text("t", "cloud")
# Cloud is already the primary: retry it, but never a redundant fallback.
assert [c["backend"] for c in calls.recorded] == ["cloud", "cloud"]
def test_no_fallback_without_openai_key(calls, monkeypatch):
_set_key(monkeypatch, key="")
calls.fake.responder = lambda backend: (_ for _ in ()).throw(RuntimeError("mi50 down"))
with pytest.raises(RuntimeError):
summary._summarize_text("t", "mi50")
assert [c["backend"] for c in calls.recorded] == ["mi50", "mi50"]
def test_caps_length_and_timeout_on_every_call(calls, monkeypatch):
_set_key(monkeypatch)
def responder(backend):
if backend == "mi50":
raise RuntimeError("nope")
return "cloud-gist"
calls.fake.responder = responder
summary._summarize_text("t", "mi50")
assert calls.recorded
for c in calls.recorded:
assert c["max_tokens"] == summary.SUMMARY_MAX_TOKENS
assert c["timeout"] == summary.SUMMARY_TIMEOUT
def test_happy_path_uses_primary_only(calls, monkeypatch):
_set_key(monkeypatch)
calls.fake.responder = lambda backend: "mi50-gist"
out = summary._summarize_text("t", "mi50")
assert out == "mi50-gist"
assert [c["backend"] for c in calls.recorded] == ["mi50"] # no retries, no fallback
# --- degenerate ("?" garbage) output guard: a wedged local model returns junk as
# a successful 200, so treat it as a failure and fall back to cloud. ---
def test_looks_degenerate_flags_repeated_char():
assert summary._looks_degenerate("?" * 60) is True
assert summary._looks_degenerate("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!") is True
def test_looks_degenerate_passes_real_prose():
gist = ("Brian sat down at the Meadows 1/3 in seat 6 with two straddles active; "
"he tagged a seat-3 calling station and finished the session up 240.")
assert summary._looks_degenerate(gist) is False
def test_looks_degenerate_ignores_short_output():
# Too short to judge — don't false-positive a terse-but-valid reply.
assert summary._looks_degenerate("ok") is False
def test_degenerate_mi50_output_falls_back_to_cloud(calls, monkeypatch):
_set_key(monkeypatch)
def responder(backend):
if backend == "mi50":
return "?" * 200 # garbage-as-200, not an exception
return "a real cloud gist of the session, diverse and coherent."
calls.fake.responder = responder
out = summary._summarize_text("transcript", "mi50")
assert "cloud gist" in out
assert [c["backend"] for c in calls.recorded] == ["mi50", "mi50", "cloud"]
def test_degenerate_cloud_output_raises_no_infinite_loop(calls, monkeypatch):
_set_key(monkeypatch)
calls.fake.responder = lambda backend: "?" * 200 # every backend returns garbage
with pytest.raises(Exception):
summary._summarize_text("t", "mi50")
# mi50 x2, then one cloud fallback that's also garbage -> give up, no loop.
assert [c["backend"] for c in calls.recorded] == ["mi50", "mi50", "cloud"]
+2 -2
View File
@@ -31,7 +31,7 @@ def lyra(tmp_path, monkeypatch):
# Canned LLM: tests set `box["next"]` to the dict think() should "generate". # Canned LLM: tests set `box["next"]` to the dict think() should "generate".
box = {"next": {}} box = {"next": {}}
monkeypatch.setattr(thoughts.llm, "complete", monkeypatch.setattr(thoughts.llm, "complete",
lambda messages, backend=None, model=None: json.dumps(box["next"])) lambda messages, backend=None, model=None, **_: json.dumps(box["next"]))
# Keep the loop offline + silent by default: no feed fetch, no push. # Keep the loop offline + silent by default: no feed fetch, no push.
monkeypatch.setattr(thoughts.feeds, "next_item", lambda **k: None) monkeypatch.setattr(thoughts.feeds, "next_item", lambda **k: None)
monkeypatch.setattr(thoughts.notify, "push", lambda **k: False) monkeypatch.setattr(thoughts.notify, "push", lambda **k: False)
@@ -342,7 +342,7 @@ def test_think_routes_to_selected_voice(lyra, monkeypatch):
self_state.set_introspection_mode("dolphin") self_state.set_introspection_mode("dolphin")
seen = {} seen = {}
def cap(messages, backend="local", model=None): def cap(messages, backend="local", model=None, **_):
seen["backend"], seen["model"] = backend, model seen["backend"], seen["model"] = backend, model
return json.dumps(box["next"]) return json.dumps(box["next"])
+4 -4
View File
@@ -39,8 +39,8 @@ def lyra(tmp_path, monkeypatch):
def test_now_note_first_contact(lyra): def test_now_note_first_contact(lyra):
from lyra import chat from lyra import mind
note = chat._now_note()["content"] note = mind._now_note()["content"]
assert "current date and time is" in note assert "current date and time is" in note
assert "first thing Brian has ever said" in note assert "first thing Brian has ever said" in note
@@ -48,6 +48,6 @@ def test_now_note_first_contact(lyra):
def test_now_note_reports_gap(lyra): def test_now_note_reports_gap(lyra):
memory = lyra memory = lyra
memory.remember("s1", "user", "hey") memory.remember("s1", "user", "hey")
from lyra import chat from lyra import mind
note = chat._now_note()["content"] note = mind._now_note()["content"]
assert "since Brian last spoke with you" in note assert "since Brian last spoke with you" in note
+1
View File
@@ -9,6 +9,7 @@ import pytest
@pytest.fixture @pytest.fixture
def lyra(tmp_path, monkeypatch): def lyra(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db")) monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
monkeypatch.setenv("CHAT_DELIBERATE", "false") # don't make a real LLM call in respond()
from lyra import llm from lyra import llm
monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts]) monkeypatch.setattr(llm, "embed", lambda texts: [[0.1, 0.2, 0.3] for _ in texts])
import lyra.memory as memory import lyra.memory as memory
+82
View File
@@ -0,0 +1,82 @@
"""Conversation export: speech (exchanges) + actions (tool_events) merged in order."""
from __future__ import annotations
import importlib
import json
import pytest
def _const_embed(texts):
return [[1e-6] * 8 for _ in texts]
@pytest.fixture
def mods(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", _const_embed)
import lyra.memory as memory
importlib.reload(memory)
import lyra.transcript as transcript
importlib.reload(transcript)
return memory, transcript
def _seed(memory):
"""A turn where Brian narrates a hand and Lyra logs it, then replies."""
memory.ensure_session("s1", name="Meadows 1/3")
memory.remember("s1", "user", "got it in with a set, he had the flush draw and bricked")
memory.add_tool_event("s1", "record_hand", {"result": "won", "pot": 750}, "hand #42 logged")
memory.add_tool_event("s1", "log_stack", {"amount": 750, "note": "doubled up"}, "ok")
memory.remember("s1", "assistant", "Clean stack-off — logged it to your timeline.")
def test_tool_events_roundtrip_parses_args(mods):
memory, _ = mods
_seed(memory)
events = memory.tool_events("s1")
assert [e["tool"] for e in events] == ["record_hand", "log_stack"]
assert events[0]["args"] == {"result": "won", "pot": 750} # parsed back to a dict
assert events[1]["result"] == "ok"
def test_markdown_interleaves_speech_and_actions_in_order(mods):
memory, transcript = mods
_seed(memory)
md = transcript.as_markdown("s1", name="Meadows 1/3")
# user message, then both tool calls, then assistant reply — in that order
i_user = md.index("got it in with a set")
i_hand = md.index("record_hand")
i_stack = md.index("log_stack")
i_reply = md.index("Clean stack-off")
assert i_user < i_hand < i_stack < i_reply
assert "**Brian**" in md and "**Lyra**" in md
assert "" in md
def test_json_export_is_machine_readable(mods):
memory, transcript = mods
_seed(memory)
payload = transcript.as_json("s1", name="Meadows 1/3")
assert payload["session_id"] == "s1"
types = [e["type"] for e in payload["events"]]
assert types == ["message", "tool", "tool", "message"]
json.dumps(payload) # must be serializable
def test_build_returns_filename_and_media_type(mods):
memory, transcript = mods
_seed(memory)
body_md, mt_md, fn_md = transcript.build("s1", "md", "Meadows 1/3")
body_js, mt_js, fn_js = transcript.build("s1", "json", "Meadows 1/3")
assert fn_md.endswith(".md") and "markdown" in mt_md
assert fn_js.endswith(".json") and mt_js == "application/json"
assert body_md and body_js
def test_delete_session_clears_tool_events(mods):
memory, _ = mods
_seed(memory)
memory.delete_session("s1")
assert memory.tool_events("s1") == []
+93
View File
@@ -0,0 +1,93 @@
"""Turn de-duplication: the UI hits two endpoints for one message (SSE stream +
blocking fallback). Only the first should execute; the duplicate reuses its result."""
from __future__ import annotations
import pytest
from lyra import chat
@pytest.fixture(autouse=True)
def _clean_turns():
chat._turns.clear()
yield
chat._turns.clear()
def test_claim_is_owner_once_per_key():
o1, r1 = chat._claim_turn("s1", "flopped a set")
o2, r2 = chat._claim_turn("s1", "flopped a set")
assert o1 is True and o2 is False
assert r1 is r2 # the duplicate waits on the SAME record
def test_different_messages_each_own():
o1, _ = chat._claim_turn("s1", "hand A")
o2, _ = chat._claim_turn("s1", "hand B")
o3, _ = chat._claim_turn("s2", "hand A") # different session
assert o1 and o2 and o3
def test_await_returns_owner_reply():
_, rec = chat._claim_turn("s1", "msg")
chat._finish_turn(rec, "the answer")
assert chat._await_duplicate(rec) == "the answer"
def test_respond_duplicate_reuses_result_without_running_turn(monkeypatch):
# owner already ran and cached its reply
_, rec = chat._claim_turn("s1", "same hand")
chat._finish_turn(rec, "owner reply")
def boom(*a, **k):
raise AssertionError("duplicate must NOT execute the turn")
monkeypatch.setattr(chat.mind, "assemble", boom)
out = chat.respond("s1", "same hand", "cloud")
assert out == "owner reply"
def test_respond_stream_duplicate_yields_cached_reply(monkeypatch):
_, rec = chat._claim_turn("s1", "same hand")
chat._finish_turn(rec, "owner reply")
def boom(*a, **k):
raise AssertionError("duplicate must NOT execute the turn")
monkeypatch.setattr(chat.mind, "assemble", boom)
events = list(chat.respond_stream("s1", "same hand", "cloud"))
assert ("delta", "owner reply") in events
assert ("done", "owner reply") in events
def test_fresh_message_after_window_runs_again():
# a completed turn lingers only briefly; simulate expiry and confirm re-ownership
o1, rec = chat._claim_turn("s1", "later resend")
chat._finish_turn(rec, "first")
rec["ts"] -= chat._TURN_TTL_MSG + 1 # age it past the (session,msg) window
o2, _ = chat._claim_turn("s1", "later resend")
assert o1 and o2 # a genuine later resend runs fresh
# --- client turn-id keying (the fire-and-forget guarantee) ----------------
def test_same_turn_id_dedupes_regardless_of_message():
# the fallback may resend the SAME id; dedupe on the id, not the text
o1, r1 = chat._claim_turn("s1", "a hand", turn_id="tid-123")
o2, r2 = chat._claim_turn("s1", "a hand", turn_id="tid-123")
assert o1 is True and o2 is False and r1 is r2
def test_different_turn_ids_each_own():
o1, _ = chat._claim_turn("s1", "same text", turn_id="tid-1")
o2, _ = chat._claim_turn("s1", "same text", turn_id="tid-2")
assert o1 and o2 # a genuinely new send never gets swallowed
def test_turn_id_window_survives_long_after_the_msg_window():
# locked-phone case: the re-fire can arrive minutes later and must still dedupe
o1, rec = chat._claim_turn("s1", "big hand", turn_id="tid-lock")
chat._finish_turn(rec, "cached")
rec["ts"] -= chat._TURN_TTL_MSG + 60 # well past the short window, but not the id window
o2, r2 = chat._claim_turn("s1", "big hand", turn_id="tid-lock")
assert o1 and o2 is False and r2["reply"] == "cached"
+103
View File
@@ -0,0 +1,103 @@
"""Confirm-loop tools: descriptor reads, name attach, merge/mark-distinct."""
from __future__ import annotations
import importlib
import numpy as np
import pytest
def _fake_embed(texts):
out = []
for t in texts:
v = np.zeros(64, dtype=np.float32)
for w in t.lower().split():
v[hash(w) % 64] += 1.0
out.append((v if v.any() else np.full(64, 1e-6, dtype=np.float32)).tolist())
return out
@pytest.fixture
def mods(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", _fake_embed)
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
import lyra.tools as tools
importlib.reload(tools)
return poker, tools
def test_descriptor_read_creates_then_reuses_nameless_villain(mods):
poker, tools = mods
poker.start_session(venue="Meadows", stakes="1/3", buy_in=300)
tools.dispatch("add_read", {"note": "opened UTG light",
"descriptor": "neck tattoo sleeve arm"}, {})
tools.dispatch("add_read", {"note": "showed a bluff",
"descriptor": "neck tattoo sleeve"}, {}) # rephrase → same guy
players = [p for p in poker.get_villain_file() if not p["named"]]
assert len(players) == 1 # one nameless villain, not two
reads = poker._c().execute(
"SELECT COUNT(*) n FROM player_reads WHERE player_id = ?", (players[0]["id"],)
).fetchone()["n"]
assert reads == 2
def test_description_as_name_routes_to_descriptor_and_dedupes(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
# She (wrongly) puts a physical description in the name field, twice, worded
# slightly differently — must resolve to ONE nameless villain, not two named.
tools.dispatch("add_read", {"note": "limp 3bet A3o",
"name": "Filipino, Fox Racing hat, DKNY shirt, two bracelets"}, {})
tools.dispatch("add_read", {"note": "called a 4bet light",
"name": "Filipino, Fox Racing hat, DKNY shirt, watch on left"}, {})
named = [p for p in poker.get_villain_file() if p["named"]]
assert named == [] # no sentence-named players spawned (the bug)
# Either they merged, or the near-dup is surfaced for a one-click merge — never
# a silent duplicate the way sentence-names were.
q = poker.list_identity_queue()
nameless = [p for p in poker.get_villain_file() if not p["named"]]
assert len(nameless) == 1 or any(t["kind"] == "merge_candidate" for t in q)
def test_name_villain_tool_attaches_name(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
poker.create_descriptor_villain("neck tattoo sleeve arm", venue="Meadows")
out = tools.dispatch("name_villain", {"descriptor": "neck tattoo sleeve arm",
"name": "Danny"}, {})
assert "Danny" in out
assert poker.resolve_villain("Danny")["band"] == "name"
def test_link_villains_merge_and_distinct(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
poker.upsert_player("Danny", venue="Meadows")
poker.upsert_player("Donny", venue="Meadows")
# same=false → recorded distinct
tools.dispatch("link_villains", {"player_a": "Danny", "player_b": "Donny",
"same": False, "note": "different builds"}, {})
a = poker.resolve_villain("Danny")["match_id"]
b = poker.resolve_villain("Donny")["match_id"]
assert poker.are_distinct(a, b)
# same=true on a fresh pair → merged
poker.upsert_player("Mike", venue="Meadows")
poker.upsert_player("Michael", venue="Meadows")
tools.dispatch("link_villains", {"player_a": "Mike", "player_b": "Michael",
"same": True}, {})
names = [p["name"] for p in poker.get_villain_file()]
assert ("Mike" in names) ^ ("Michael" in names) # one absorbed the other
def test_link_villains_refuses_when_reference_is_vague(mods):
poker, tools = mods
poker.start_session(venue="Meadows", buy_in=300)
poker.upsert_player("Danny", venue="Meadows")
out = tools.dispatch("link_villains", {"player_a": "Danny",
"player_b": "some guy", "same": True}, {})
assert "didn't merge" in out.lower() or "couldn't" in out.lower()
+116
View File
@@ -0,0 +1,116 @@
"""Nameless-villain identity resolution: descriptor matching, merge, distinct, queue."""
from __future__ import annotations
import importlib
import numpy as np
import pytest
def _fake_embed(texts):
"""Overlap-sensitive bag-of-words vectors so cosine reflects shared tokens."""
out = []
for t in texts:
v = np.zeros(64, dtype=np.float32)
for w in t.lower().split():
v[hash(w) % 64] += 1.0
out.append((v if v.any() else np.full(64, 1e-6, dtype=np.float32)).tolist())
return out
@pytest.fixture
def poker(tmp_path, monkeypatch):
monkeypatch.setenv("LYRA_DB_PATH", str(tmp_path / "test.db"))
from lyra import llm
monkeypatch.setattr(llm, "embed", _fake_embed)
import lyra.memory as memory
importlib.reload(memory)
import lyra.poker as poker
importlib.reload(poker)
return poker
def test_distinctiveness_distinctive_vs_generic(poker):
assert poker.distinctiveness("guy with a neck tattoo") > 0.6
assert poker.distinctiveness("mid-aged white dude with glasses") < 0.3
def test_generic_descriptor_never_resolves_to_a_guess(poker):
poker.create_descriptor_villain("neck tattoo sleeve arm", venue="Meadows")
r = poker.resolve_villain("mid aged white guy with glasses", venue="Meadows")
assert r["band"] == "generic"
assert r["match_id"] is None
def test_exact_name_match_is_deterministic(poker):
pid = poker.upsert_player("Sleepy John", venue="Meadows")
r = poker.resolve_villain("sleepy john")
assert r["band"] == "name" and r["match_id"] == pid
def test_rephrased_descriptor_resolves_high(poker):
pid = poker.create_descriptor_villain("neck tattoo sleeve arm", venue="Meadows")
r = poker.resolve_villain("neck tattoo sleeve", venue="Meadows")
assert r["band"] == "high" and r["match_id"] == pid
assert r["confidence"] >= 0.80
def test_partial_descriptor_is_ambiguous_not_high(poker):
poker.create_descriptor_villain("neck tattoo sleeve arm", venue="Meadows")
r = poker.resolve_villain("neck tattoo", venue="Meadows")
assert r["band"] == "ambiguous" # plausible, but don't guess live
def test_merge_repoints_observations_and_deletes_dup(poker):
keep = poker.create_descriptor_villain("neck tattoo", venue="Meadows")
dup = poker.create_descriptor_villain("neck ink tatted", venue="Meadows")
poker._c().execute(
"INSERT INTO player_observations (player_id, session_id, created_at) VALUES (?,1,?)",
(dup, poker._now()))
poker._c().commit()
assert poker.merge_players(keep, dup) is True
assert poker.get_villain_file() and all(p["id"] != dup for p in poker.get_villain_file())
obs = poker._c().execute(
"SELECT COUNT(*) n FROM player_observations WHERE player_id = ?", (keep,)).fetchone()["n"]
assert obs == 1
def test_merge_prefers_a_real_name(poker):
named = poker.upsert_player("Danny", venue="Meadows")
desc = poker.create_descriptor_villain("neck tattoo", venue="Meadows")
poker.merge_players(desc, named) # keep the descriptor id, but name should win
row = dict(poker._c().execute("SELECT name, named FROM poker_players WHERE id = ?", (desc,)).fetchone())
assert row["name"] == "Danny" and row["named"] == 1
def test_mark_distinct_blocks_merge_scan(poker):
a = poker.create_descriptor_villain("neck tattoo sleeve", venue="Meadows")
b = poker.create_descriptor_villain("neck tattoo sleeve", venue="Meadows")
poker.mark_distinct(a, b, note="one's taller")
assert poker.are_distinct(a, b)
assert poker.scan_merge_candidates() == 0 # confirmed-distinct pair is skipped
def test_scan_files_merge_candidate_for_near_duplicates(poker):
poker.create_descriptor_villain("neck tattoo sleeve", venue="Meadows")
poker.create_descriptor_villain("neck tattoo sleeve", venue="Meadows")
filed = poker.scan_merge_candidates()
assert filed == 1
q = poker.list_identity_queue()
assert q and q[0]["kind"] == "merge_candidate" and len(q[0]["players"]) == 2
def test_queue_dedupes_identical_pending_task(poker):
a = poker.create_descriptor_villain("neck tattoo", venue="Meadows")
b = poker.create_descriptor_villain("neck ink", venue="Meadows")
t1 = poker.queue_identity_task("merge_candidate", [a, b])
t2 = poker.queue_identity_task("merge_candidate", [b, a]) # same pair, reversed
assert t1 == t2
assert len(poker.list_identity_queue()) == 1
def test_name_villain_flips_named_flag(poker):
pid = poker.create_descriptor_villain("neck tattoo", venue="Meadows")
poker.name_villain(pid, "Danny")
r = poker.resolve_villain("Danny")
assert r["band"] == "name" and r["match_id"] == pid