12 Commits
Author SHA1 Message Date
JesseMarkowitzandClaude Opus 5 44edece67e M9: a campaign you can actually get back
A campaign could already be exported and imported. What could not survive the
trip was everything that explains it: the state events behind the authoritative
document, the prompt each turn was actually given, the passages it was shown,
the summaries that carry long-story continuity, and which take belonged to which
turn. An imported campaign could be read and could no longer say why it was what
it was — and a manual correction, the one state change no narration explains,
was indistinguishable from something the story had established.

The bundle is now `ai-dnd-adventure-v3`, and the version is the design rather
than a side effect. Everything added here could have been another optional key,
the way persona, Save Points, narrative state and imported knowledge each were.
That mechanism stops working at exactly this addition: a v2 file with no prompt
provenance is ambiguous between "written before M9" and "written by M9 from a
campaign that has none", and those are different facts about a campaign. A
version number is how a recovery file states what it was capable of recording.
v1 and v2 still import, and every seam from pre-active-head onward is tested for
the rule that an older file is never reinterpreted under a newer assumption.

Two categories became three. "Chosen travels, derived is recomputed" was enough
until stored prompts had to be decided: they are derived, and they must travel
anyway. The test that separates evidence from cache is not "could this be
recomputed" but "would a recomputation answer the same question" — a rebuilt
search index answers the same question, a rebuilt prompt says what the turn
would be told *now*, which is the opposite of what the inspector is for.

Also here: a real SQLite backup, through the online backup API rather than a
file copy, taken while the application is running and verified before it is
kept; story cards settled as compatibility-only legacy data and taken out of the
narrator's prompt, because they were the untracked path around knowledge
authority that IMPORTED-KNOWLEDGE-DESIGN §73 already forbade; and no schema
change at all, proved against a database M8's own code wrote.

Three defects, found by running the milestone's own tests rather than by reading
them. Deleting a campaign leaked its FTS index rows, and SQLite then handed the
freed ids to the next source imported into any campaign, which failed with an
integrity error that Reindex could not repair — both ends are closed, and a
database already carrying the damage now repairs itself. An imported node with
no state snapshot was being stamped with the campaign's head state, so an Undo
to turn 2 showed what the story knew at turn 20. And the snapshot relink did not
persist at all, because it mutated a dict in place on a column SQLAlchemy tracks
by assignment: it looked correct in memory and wrote the wrong ids to disk.

Carrying per-turn prompts looked like it would halve the length of campaign that
can be restored. Measured — and after compressing them inside the file —
everything M9 added costs 12% of it: the import ceiling moves from about 318
turns to about 279, against a 100-turn certification target. The dominant cost
is not M9's at all. The per-position narrative state document is 74% of a
bundle, and v2 already carried it.

Backend 1,102 passed / 14 skipped / 0 failed. Frontend 145 passed. Lint,
production build and Docker build clean. Verified across two server processes
with two data directories, and in a real browser against a real narrator.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Qyn3oRd4D6pi72nKBG725B
2026-09-07 01:55:45 -04:00
JesseMarkowitzandClaude Opus 5 b7005e6fdd M5: genre-neutral authoritative narrative state, with review corrections
Replaces AI-DnD's RPG relative-delta world state with the genre-neutral typed
narrative state of ADR 010: explicit, absolute, allowlisted events proposed by
the model, validated by the application, applied to one authoritative document,
and snapshotted per position so restore stays a row read.

This commit includes the corrective pass that followed the independent review
in planning/reports/M5-IMPLEMENTATION-REPORT.md. The invariant it exists to
hold is:

    visible active transcript position == stored head == authoritative state

Narrator editing (D10, STORY-BRANCH-SEMANTICS §§14-15)

  A narrator edit no longer rewrites a row. It returns to the state before the
  turn, takes the reader's exact text as the accepted narration, re-derives the
  state that text implies, and becomes a new active continuation — while the
  original narration keeps its words, its live flag and its whole future as
  retained history. At the tip the correction is another take; with story below
  it, it forks. No new history machinery: this is the existing fork/take/head
  path with the reader's text in place of a generated reply. The §14A refusal
  is therefore gone for narrator turns, and remains only for player input.

Pre-M5 positions

  Migration 88 backfills the empty narrative document onto every action written
  before M5, and a missing snapshot now restores the empty document instead of
  leaving the previous position's state standing. Restoring to an old Save
  Point no longer leaves a later position's entities and facts on screen.

Narrator context

  Replayed history carries prose only; the machine-readable block is no longer
  reconstructed into past turns, where it contradicted the authoritative state
  in the same prompt. A fact withdrawn by a manual correction is now named as
  no longer true, with the reader's reason, rather than silently dropped.

Also

  - state_changes joins the action-list bulk read, removing one query per row.
  - Extraction takes only the application's own protocol payload: an ordinary
    ```json or ```python block in a story survives, and a mangled proposal
    still does not reach the reader.

Planning: ADR 013 records the authoritative document shape; §§14-15/14A, D10,
C04 and BUILD-MILESTONES are updated to describe what exists. Debt is recorded
against M8 (scenario editor UX) and M9 (export of the audit trail).

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01PWU4gTfLYY6Qq9U7aa9Qw2
2026-09-05 07:01:50 -04:00
JesseMarkowitz 8c65ae99de M2: cut the hosted product away from the local one
94 files, +1,395 -6,578. Three files are new; twenty-four are gone. The
milestone is subtraction, and what is left is the single-user local
storyteller the specification describes.

Removed in full: campaign scripting and its QuickJS sandbox; multi-user
accounts, guest sessions, login, registration and the shared demo key;
the visitor-analytics tables, dashboard and page beacon; the access log
of sign-ins, addresses and devices; per-IP and per-user rate limiting
and quotas; Render deployment config; Postgres and psycopg; cloud
inference providers, the API-key field and the key encryption that
existed to store it; session-cookie signing. None of it was hidden
behind a flag — the routes are gone and answer 404.

Two things were kept that the brief allowed keeping. The `users` table
and its foreign keys stay as an internal ownership detail, because
rewriting them out means a migration across most of the schema to
delete a column that costs nothing; nothing creates a second user and
no request carries an identity. Five inert tables and four inert
columns stay for the same reason, so an M1 campaign database opens
unchanged.

The one addition is app/endpoints.py, which decides where a story may
be sent. Loopback, RFC1918, link-local, unique-local and CGNAT — an
explicit allowlist of networks, not a guess at what `ipaddress` means
by "private", which calls the documentation ranges private and IPv6
loopback reserved. Every address a hostname resolves to must be in it,
so a split answer does not squeak through, and the rule runs both when
the endpoint is saved and before every outbound request, because a name
that resolved to the LAN this morning can resolve elsewhere this
afternoon. Known cloud hosts are named in the refusal so the error says
why rather than looking like broken DNS. TLS is never traded against
it: M1's shared trust context is intact on all four clients and there
is no way to skip verification.

The hardcoded 120-second model timeout is now a setting. That was not
theoretical — on this GPU-less four-core host a cold load of
qwen2.5:3b-instruct took 648.9 seconds to produce the first turn, while
turns 2 to 5 of the same campaign took 3.6 to 13.1. Connect stays short
at 10s so a wrong address still fails fast; the read timeout defaults
to 300s and is bounded at 3600, because "wait longer" must stay a
number.

Two defects found while testing and fixed here. An unknown /api path
fell through the SPA catch-all and came back as HTML with status 200,
so a client asking for JSON parsed a web page instead of learning the
route was gone. And AIDND_CORS_ORIGINS accepted "*", which on an
unauthenticated loopback API would hand every page on the Internet a
write handle on the campaign database; it now refuses to start.

Verified rather than assumed. Offline, on a network with no route out
and no DNS: five turns, retry with both takes retained, restart with an
identical transcript digest, a failed model call leaving the accepted
AI-turn count untouched, and a capture with zero non-loopback unicast
packets. Against a real second machine on the LAN over HTTPS with a
private CA: four turns, restart, and a capture showing 289 packets to
the approved host, 344 loopback, zero anywhere else, zero DNS queries.
Cloud and public endpoints refused with their reasons; no API key
settable; every removed route 404.

604 backend tests pass, down from 648 by the fifteen retired with the
subsystems they tested and up by the twenty-nine added for the endpoint
policy and the removed surface. The scripting tests were not deleted:
eight files used a JavaScript counter as instrumentation for the state
snapshot and rollback machinery, which M2 does not touch, so the
counter moved to the world-state engine and those tests still assert
what they always did. Frontend lint and build are clean; the image
builds, and its wheel-building stage is gone with quickjs.

No M3 work. Undo is still destructive and there is still no Redo.
2026-09-02 11:27:14 -04:00
parththakkar106andClaude Opus 5 f1bebe18d0 Drop the eight legacy columns SP8 left behind
Migrations 66 to 73 drop `actions.index`, `variants`, `variant_index`,
`variant_count`, `state_before`, and `world_state_before`, plus
`adventures.memory_cursor` and `summary_cursor`. `index` is a keyword in
SQLite, so migration 71 quotes it.

Nothing outside the migrations read these. `models.py`, `schemas.py`, and
`ACTION_LIST_COLUMNS` lose the same eight fields, `Adventure.actions` orders
by `id`, and `attempts.renumber`, `context.history.max_action_index`, and
`nodes.next_index` are deleted.

Two changes keep the migration replayable on a `create_all` database:

- `_split_variants_into_siblings` wrote through the live ORM table, so it
  stopped compiling once migration 66 removed five of its columns. It now
  writes through `_ACTIONS_AT_60`, a frozen `Table` with its own `MetaData`.
- Five data passes read columns these migrations drop. Each now calls
  `_has_columns` and returns early when the columns are absent.

`bootstrap` takes a `through` version so a migration test can stop at the
schema it asserts on.

555 tests pass, up from 549. Eight of the new cases assert each column is
gone after a real schema-45 database migrates all the way.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0198qDK3gmgSo7EtQ4GTPqqK
2026-08-29 17:15:49 +05:30
parththakkar106andClaude Opus 5 2fa812c056 Split the adventures router into a package
`backend/app/routers/adventures.py` held 2353 lines and 35 endpoints. It is now
a package of 14 modules, the largest 443 lines.

The split moves text rather than rewriting it. An AST comparison against the
old file confirms all 86 definitions are identical, and the OpenAPI schema
still lists the same 35 operations.

Names a test replaces now live in `turns.py` only, and other modules reach them
as `turns.<name>`. Rebinding a re-exported alias changes the alias and leaves
every caller reading the original, so the package root does not re-export them.
A patch aimed at the old target raises `AttributeError` instead of passing while
doing nothing. Tests and the fixtures in `backend/tools/` say
`adventures.turns.<name>`.

The same rule keeps the turn lock working. One module owns `_active_turns`, so
one lock guards one set.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014Dix4oGV3njgWRdu7P9t6r
2026-08-29 01:05:50 +05:30
parththakkar106andClaude Opus 5 32cd7c1077 Give the tests one setup instead of thirty-five
Every test module carried the same eight-line prologue redirecting the
database to a temp file. Only the first one to be imported ever took
effect: `app.database` reads `AIDND_DB_PATH` at import and builds `engine`
from it once, so by the time the second module ran the engine already
existed. The other 34 copies created a temp file that nothing opened and
nothing deleted, and leaked one per module per run.

`conftest.py` now does it once, which is early enough because pytest
imports conftest before any test module. It also deletes the file when the
run ends. The tests still share one database, exactly as they already did:
each `client` fixture calls `create_all` on setup and `drop_all` on
teardown, so no test sees another test's rows.

`tests/fakes.py` holds the one `ScriptedProvider`. Nine modules each had a
copy, and the copies had drifted into four feature sets, so a test that
needed to raise a provider error had to be written in one of the files
whose copy supported that. The shared one is the superset. The two
`FakeProvider` copies were the same class with a fixed reply, so they use
it too. `test_chat.py` keeps its own, which implements `chat` rather than
`generate` and records what it was constructed with.

An autouse fixture resets the fake's class state between tests, so a stale
reply list can no longer reach the next test.

435 lines out of the suite. 549 tests pass. Verified live by sabotage:
breaking the shared fake fails 13 tests across four modules.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014Dix4oGV3njgWRdu7P9t6r
2026-08-29 00:47:46 +05:30
Parth e7d75c3b05 Rewrite Python comments in Google developer documentation style (#12)
* Rewrite comments in Google developer documentation style

Rewrite the comments and docstrings across the backend core modules so they
read plainly. The previous prose was accurate but dense and figurative, which
made it slow to skim.

Applies the Google developer documentation style guide: short sentences, active
voice, present tense, American spelling, and no metaphors, idioms, or
rhetorical asides. Replaces em-dash chains with separate sentences.
2026-08-26 15:37:25 +05:30
parththakkar106andClaude Opus 5 a408c7b6f7 Lay the prompt out so the endpoint can cache most of it
Prompt caching bills on a shared prefix: the endpoint reuses the request up
to the first byte that differs from last time and no further. The live
world-state block sat third from the top of the system message, so every turn
re-priced the instructions, the plot essentials and the whole story history
underneath it. The retrieved memories and the rewritten summary did it again.

Everything fixed is emitted first now, and everything that moves goes after
the history, ordered least-volatile first — which is also where recency serves
it best, the reasoning that already put the emit reminder last. The three tail
sections that are last for their own reasons stay last. The moved sections are
still charged to the token budget; only their position changed.

Two smaller halves of the same problem. OpenRouter serves a model from
whichever upstream is free and each upstream holds its own cache, so a
deepseek model now names deepseek as its preferred upstream — a preference,
not a restriction, so a turn still runs if that upstream is down. And the
endpoint's usage block is read back off the response and kept per attempt, so
the hit rate shows up in Insights and the debug log instead of being assumed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01DfMCsN1KBLsTqMkj5hSgrY
2026-08-23 06:31:30 +05:30
parththakkar106andClaude Opus 5 a7bf47a35e Let a backup carry a story that went two ways
A bundle had one list and a forked adventure has two stories, so export was
emitting every branch's turns interleaved by index — a mangled story rather
than lost data, and unreachable only because forking has no UI yet.
`ai-dnd-adventure-v2` carries the branches, the depth each one left its
parent at, which attempt at every turn is the story, and what each node
left behind. That last one is not decoration: the after-snapshots are what
a branch switch puts back, and a bundle without them imports a tree nobody
can switch inside.

`app/bundle.py` owns both formats and nothing else knows either. The v1
reader stays — those files are already on people's disks — and it is now
the only place a `variants` array exists anywhere.

The rule the module is built on is that a bundle carries what was chosen
and never what is derived. The head branch, the fork points, the live flags
and the anchors are decisions somebody made. The lineage, the head depth,
the legacy `index` and the variant ordinals are computed from those and are
rebuilt on the way in, because a bundle is a text file anybody can edit and
a derived field shipped beside its source is a chance for the file to
disagree with itself where no read would report it.

`index` is the one that stops being academic here. It agreed with `depth`
until SP5, and this is the first writer that has to fill it for a forked
story, where two branches both hold a node at depth 4. It is allocated one
per turn instead: siblings share it, no two coordinates do.

Everything a hand-edited file can get wrong about the shape of a tree is a
400 raised before the adventure row exists, because a half-applied import
is exactly the failure this phase exists to end — a story that goes quiet.
A file wrong about which attempt is live is corrected rather than refused;
that is an invariant of the database, not of the format.

Measured on the 600-action fixture: 587 kB to 911 kB, and all of the
increase is the outcomes at 489 B a node — the coordinates themselves save
57.5 B a node against the old turn-and-variants shape. Twenty forks add
660 B. 4.3% of the import body cap.

381 tests green, 16 of them new in test_bundle_v2.py. No migration, no
vacuum owed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015H5qiyiR7gtFQaoDphHZ3g
2026-08-18 19:14:07 +05:30
parththakkar106andClaude Opus 5 cf8ec22e8b Open an adventure on a window of the story, and page upward
Opening a finished adventure fetched every action in one response: 589.5 kB on
production's longest, and nothing about that curve bends on its own, because a
story only ever gets longer. The page load now brings the newest 60 actions
and the reader pages up from there. On the harness's 600-action fixture that
is 606.0 kB down to 62.6 kB, and -- the part that matters -- it no longer
depends on how long the story is.

Paged by anchor, not by offset. `before_id` is the oldest action the caller
holds; the server returns what precedes it. An offset counted back from the
newest would shift every older position the moment a turn lands, which is
exactly when someone is likely to be scrolling, and the reader would get one
action twice and never see another. It also keeps working when the story stops
being a flat list: comparing indices to order a branch survives the story tree,
treating them as positions does not.

`has_more` comes from fetching one row past the window rather than from
counting. A deleted anchor -- undo, mid-scroll -- reports the end rather than
guessing and serving a page the reader already has.

GET /{id}/actions and POST /{id}/undo now return {actions, total, has_more}
instead of a bare list. Undo is the action most likely to be repeated several
times running, so having it re-fetch the whole story would have undone the
paging on the worst case.

The adventure payload gets its window through set_committed_value rather than
by assignment: the actions relationship cascades delete-orphan, so assigning a
60-item list to it would delete everything outside the window on the next
flush.

In Play.jsx the prepend is followed by a useLayoutEffect that restores the
scroll position, before paint, so the story does not jump. Loading starts 400px
from the top rather than at it, guarded by a ref because scroll fires far
faster than React re-renders. There is a button as well as the scroll trigger:
on a short viewport the transcript may not be tall enough to scroll at all, and
a reader who cannot scroll must still be able to reach the beginning.

Verified against a running backend and a 220-action adventure: the page load
returns 60 of 220 ending on the newest, and walking back from an anchor returns
exactly the actions before it.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Dvvqn9ZDR4ixeFPHNbww7
2026-08-17 14:23:03 +05:30
parththakkar106andClaude Opus 5 7c538c8235 Stop retried and deleted actions from corrupting story context and memories
Three fallout bugs from keeping the retried action row alive (906ba42),
plus two long-standing cursor bugs the same investigation turned up.

Retry context leak: the row being regenerated is still attached to the
adventure, so it was replayed as established story and the model wrote a
continuation of the attempt it was meant to replace — the story visibly
blended both takes. It leaked into four places, not one: history replay,
story-card trigger matching, in-scene NPC detection, and the memory-bank
similarity query. Adds a shared context.story_actions(exclude_action_id),
threaded through build_context and retrieve_memories.

Memory holdback: a memory could summarize the just-generated turn; retry
rewrites Action.text but memory_cursor has already advanced, so the memory
was never regenerated and went on describing narration no longer in the
story. settled_story_actions() holds the newest action back one turn —
only the last action is retryable, so that makes it unreachable. The
settled list is always a prefix, so cursors stay valid and nothing is
skipped. The run_post_turn clamp deliberately still uses the full count:
clamping to settled rewinds legacy adventures a step and double-covers an
action.

Cursor bookkeeping: memory_cursor is a position into story_actions() while
Memory.source_* are Action.index values, and the two diverge as soon as
anything is deleted. Deleting a middle action slid a never-summarized
action into the covered range, skipping it forever; and pruning a memory
left the actions it covered stranded behind the cursor. Adds
note_action_removed() (called before the delete in delete_action and
undo_turn) and a rewind in prune_dangling_memories. delete_action also
now prunes at all, which it never did.

Not addressed: editing an already-summarized action still leaves its
memory stale, and the cumulative story summary can't have one fact
un-mixed from it.

117 backend tests pass, including new test_memory_settling.py (12) and
two retry-context regression tests.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UeQVy5bEjLhfgWNc27Efet
2026-08-03 15:23:59 +05:30
parththakkar106andClaude Opus 5 906ba423d8 Keep every retried attempt instead of deleting it
Retry used to delete the last AI action and generate a replacement, so the
discarded narration was simply gone. The row survives now: each attempt is
appended to actions.variants with variant_index naming the live one, and a
ChatGPT-style pager under the message browses them.

Action.text still mirrors the active variant, so the context builder, memory
bank, summarizer and export needed no changes. A variant carries only what
differs between attempts -- the text, the reasoning, and the state it
produced -- never the assembled prompt, which is identical across attempts of
one turn and is the bulk of context_snapshot.

Only the last message can be switched, restoring the script/world state that
attempt produced; earlier turns were written as a continuation of whatever is
active there, so theirs are read-only previews.

Three things that would otherwise bite:

- generate_turn now wraps _generate_turn and watches for a save sentinel. If
  the generator ends without it (provider error, empty reply, script stop,
  client hangup) it re-applies the previous variant -- otherwise a failed
  retry leaves rolled-back stats under un-rolled-back text.
- Retry reuses the turn's own index rather than next_index, or the clock the
  world-state cooldowns run on advances on a re-run of the same turn.
- Editing a message rewrites the active variant too, or paging away and back
  silently reverts the edit.

Migrations 34/35 verified as an upgrade against a populated database, not
just a fresh schema. test_state_revert's retry test asserted the old delete
behaviour and was rewritten.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UeQVy5bEjLhfgWNc27Efet
2026-08-02 20:44:06 +05:30