Commit Graph
6 Commits
Author SHA1 Message Date
Claude 71b24b6229 Replicate the A/B on a fresh story, and narrow one claim
The checked-in harness was run end to end through the shim on a newly
generated story, which is both a check that it works and an independent
replication.

The finding the change is for held: across two runs, none of the four
control memories names the protagonist and all four treatment memories
do. The length finding held too — controls at 34, 89, 105 and 107 words,
a four-fold spread with no budget stated anywhere, against 54 and 55
under MEMORY_MAX_WORDS.

One claim did not replicate, and the writeups now say so. Run 1 produced
two control memories in two different persons, which is the reported
complaint exactly, and plan/18 presented that as reproduced. Run 2's
controls were both "the player", consistently. Drifting between second
and third person is therefore something a model sometimes does, observed
once, not something it does every time. The naming gap is the durable
result and the writeups now lead with that instead.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NPyQN926gkZTAYfgugcaok
2026-08-31 15:03:20 +05:30
Claude 712ef44f57 Keep the A/B, and the harness that produced it
The run that justified MEMORY_MAX_WORDS lived in a scratch directory and
would have been gone with the container. The numbers in plan/18 were
therefore assertions nobody could check.

plan/18-appendix-memory-ab-run.md now carries the whole transcript: both
memories, both summaries, and the thirteen-action story they were
written from.

backend/tools/memory_ab.py reproduces it. It replaces the throwaway
script the first run used, and differs in two ways that matter. It goes
through OpenAICompatibleProvider rather than calling a model directly,
so a run exercises the provider, the streaming path and complete()
instead of a stub. And it reads the control prompt out of git at the
commit given to --before, so the thing being compared against cannot
drift from what actually shipped.

There was already a claude_shim.py serving an OpenAI-compatible endpoint
backed by the CLI, which is exactly what the throwaway script had
reinvented. memory_ab.py points at it by default, so a run spends a
Claude subscription rather than API credit, and --endpoint aims it at
the provider the deployed app really uses — which is the one question
this whole exercise could not answer.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NPyQN926gkZTAYfgugcaok
2026-08-31 15:03:20 +05:30
Claude 07192767d8 Give a memory a word ceiling, after measuring one
Ran the memory prompt end to end against a real model as a controlled
A/B: one story generated through the app's own build_context a turn at
a time, then both prompts run over the same blocks, so the story is held
constant and the prompt is the only variable. Fresh process per call, so
neither arm sees the other and the model is never told what is being
tested. The control is the exact prompt from 9cdcb55.

The reported fault reproduced. Two consecutive memories written from one
story minutes apart came back in two different persons — "You crept low
through the mist" and "The player asked Gwen to". With the cast brief
both named Kaelen. The control also inverted who acted on a move whose
player text was "grab her wrist and pull her down", which is the failure
the brief predicts: with no cast there is nothing to say whose wrist
"her wrist" was.

It also found something the prompt review had not. "1-2 plain sentences"
is not a length, and the same model wrote 34 words for one block and 105
for the next. A 105-word memory is a paragraph, and `memory_top_k`
injects five every turn, so the bank's running cost was set by a number
nobody had ever stated.

MEMORY_MAX_WORDS states it, and the prompt now says which details to
keep when trimming: the ones a later scene could turn on. Re-run over
the identical story, the same two blocks came back at 32 and 58 words,
still named, still third person, still carrying the camp map, the
strongbox behind the second tent, and the strap frayed near through.
Variance is the real gain — 34..105 became 32..58.

Overshooting 50 slightly is expected. Models exceed word budgets, which
is why builder.length_hint already carries a buffer for the same reason.

What this does not show: the run used a Claude model, and the app talks
to an OpenAI-compatible endpoint whose weaker models are why
worldstate/parse.py tolerates trailing commas. The prompt is followable
and the brief supplies the missing information; a weaker model is not
proven to comply as well.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NPyQN926gkZTAYfgugcaok
2026-08-31 15:03:20 +05:30
Claude 1b5e4c56cd Tell the summarizer who the characters are
`_create_due_memories` sent six actions of second-person prose and
nothing else — no protagonist, no cast, no setting, and no instruction
about what person to write in. So for `You push the door open. She grabs
your arm.` the only honest memory was "You entered a room and she
stopped you", which names nobody when it is retrieved forty turns later.
The framing wandered too: with no rule, the model picked a person per
call, and one bank ended up holding "You entered the crypt", "The player
entered the crypt" and "He entered the crypt" for the same kind of
event.

Both prompts now carry a cast brief and a framing rule: third person,
the protagonist by name, other characters named rather than left as bare
pronouns. The rule states its reason, because a memory really is read in
isolation much later and a model told why complies far more
consistently than one handed a bare instruction.

The cast comes from the story cards, not from `stat_schema`. Every
schema NPC is already turned into a card at adventure creation,
deduplicated against the hand-written ones by name, so the cards cover
schema NPCs, an author's own cards, and an adventure with no RPG layer
at all through one path instead of three.

Keyword matching alone was not enough, and finding that out changed the
design. Built that way first, the brief for "She grabs your arm" listed
the protagonist and nobody else: the block that most needs a cast is
exactly the one written in bare pronouns, and Gwen's trigger keys
include "her" but the text says "she". So matched cards come first and
the remaining slots are filled with the other character cards. Places
and items are not topped up — an unmentioned tavern is not who "she"
was — though a place that is mentioned still matches normally. The
asymmetry with the turn prompt is deliberate: an untriggered card is
wrong as lore and right in a roster, because the roster answers "who
could these pronouns be" rather than "what is on stage".

Fixed descriptions only, never live values. `Gwen: trust 40 (wary)` in
the brief would make the same event summarized at two different times
come out framed differently, which is the fault this removes.

An adventure with no persona still gets the cast and the setting, and
the model is told to write "the player". One with nothing to say sends
byte for byte the prompt it sent before.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NPyQN926gkZTAYfgugcaok
2026-08-31 15:03:20 +05:30
Claude dfb56d4569 Record that the persona was driven in a browser
Chromium against a fresh database with the demo scenarios seeded. No API
key needed: Insights assembles the prompt without calling a model, so the
checks run on the real assembled context rather than a stub.

21/21. The two request failures in the run were the sandbox — Google
Fonts is blocked by the egress policy, and the analytics beacon is
aborted on unload — not the app.

The case worth naming: a blank adventure with no RPG layer produced
sections `['narrator', 'persona', 'length_hint']`. That is what the
persona was added for, and it is the one thing no unit test in this repo
would have caught if the section had been gated behind `has_ws`.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NPyQN926gkZTAYfgugcaok
2026-08-31 15:03:20 +05:30
Claude 9ee052c51e Give the adventure a persona, so the protagonist has a name
The player had stats but no identity. `stat_schema.player` carried hp and
mana beside `npc.gwen.trust`, but where an NPC has a name and a
description the player had neither, so the block rendered as
`You: hp 100/100` and nothing in the prompt said who "you" was.

Three columns on `adventures`: name, pronouns, description. All
user-only, all optional, and an empty name means the app behaves exactly
as it did before — no backfill, no special case for an adventure that
predates the migration.

They are adventure columns rather than part of `stat_schema` for two
reasons. An adventure with no RPG layer still has a protagonist, and
that is the case this was added for. And `worldstate.schema._initials`
treats every dict inside a stat section as a stat definition, so a
persona placed there would be instantiated, rendered in the guide, and
handed an `initial` value as though it were one.

The paths do not change. `player.hp` stays `player.hp`; only the label
moves, to `Kaelen (player): hp 100/100`, the same way NPC lines already
print a display name beside the id. A path carrying the persona's name
would break the moment a player renamed their character, because
`_history_text` replays every past turn's stored delta into the prompt
and those blobs hold literal `player.hp` strings.

The section sits in the system block. Only the user can edit it, so it
never changes mid-story and stays inside the cached prefix. That is what
makes it free, and it is why the AI must not be able to move it — a
delta aimed at `persona.*` is already refused by `_resolve`, and there
is now a test holding that in place.

The modal that used to appear only for scenarios with `${Placeholder}`
tokens now always opens, and is where the character is named. Persona
and placeholders stay independent: a scenario asking for `${Name}` is
asking its own question. No scenario in the repo uses placeholders at
all, so the overlap is hypothetical.

Phase 2, which feeds the persona and the cast to the summarizer, is
written up in plan/18 and not started. That is where the memory-quality
problem actually gets fixed; this change is what gives it a name to use.

Not yet driven in a browser — plan/18 lists what to check by hand.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01NPyQN926gkZTAYfgugcaok
2026-08-31 15:03:20 +05:30