# Where things stand Read this first when picking the project back up. Updated at the end of a working session; the per-phase plan files hold the detail, this holds the thread. **Last updated: 2026-08-17.** --- ## The live URL is not the one in render.yaml **Production is `https://ai-dnd-1gmp.onrender.com`.** Render appended a suffix to the `ai-dnd` service name in `render.yaml`, and plain `ai-dnd.onrender.com` belongs to a different, suspended service that answers 503 with "suspended by its owner" — which is easy to mistake for this deploy being down. The authoritative link is the one the project page points at (`docs/index.html`), not the service name in the blueprint. `GET /api/health` on the real host returns `{"ok":true}`. --- ## Shipped and live, 2026-08-17 PRs #1 and #2 are merged and deployed. Verified against the running service: `/api/health` 200, the adventure payload carries `action_count`, `/actions` returns `{actions, total, has_more}` and accepts `before_id`. The app booting at all is proof migrations 42–45 ran — `bootstrap()` executes at import, so a failed migration means no service. The deployed JS bundle hashes to `index-4vjcKxkv.js`, which is what this tree builds, so the frontend live is exactly this code. **Measured 2026-08-17, and then vacuumed again.** The earlier `VACUUM FULL actions;` predated migrations 42–45, which rewrote every row — so by the time anyone looked, the database was **144.2 MB**, well above the 99.6 MB it started from and nowhere near the ~53 MB projection. Nothing was wrong with the compression. Nothing had reclaimed the space it freed. ``` before: database 144.2 MB, actions 131.4 MB VACUUM (FULL, ANALYZE) actions -- 5.5s after: database 65.0 MB, actions 52.1 MB ``` **79.2 MB reclaimed in 5.5 seconds**, against a 512 MB tier. `actions` now occupies 52.1 MB holding 50.4 MB of live column bytes, so there is essentially no bloat left. `/api/health` answered `{"ok":true}` immediately after. The projection was right all along. **Read the sizes from the column sums, not from `n_live_tup`.** The chunk count on the TOAST relation said ~88 MB live and implied ~40 MB was reclaimable; the actual figure was double that. `n_live_tup` is an estimate left over from the last ANALYZE, and after a migration rewrites the table it is stale in the direction that makes bloat look smaller. `sum(octet_length(col))` per column is the honest number. **Where the bytes are in `actions`** — one column, and it is not close: | column | rows | live bytes | per row | |---|---|---|---| | `context_snapshot` | 467 | **47.5 MB** | 104.1 kB | | `variants` | 91 | 1.1 MB | 12.9 kB | | `text` | 945 | 0.8 MB | 0.9 kB | | `world_state_before` | 787 | 0.7 MB | 1.0 kB | | `world_delta` + `reasoning` + `state_before` | — | 0.2 MB | — | | total | | **50.4 MB** | | `context_snapshot` is 94% of the table. The per-action state columns a tree would touch are rounding errors, which is the useful thing to know before phase 14 adds more of them: **adding columns beside `state_before` is cheap; adding anything shaped like a context snapshot is not.** `VACUUM FULL` takes an ACCESS EXCLUSIVE lock — the app blocks on `actions` for the duration. 5.5 s at this size, but it grows with the table. Run it on the **direct** endpoint, not `-pooler`: through transaction pooling it is unreliable. **Aggregates only, and ask first.** Real users are on this database. Counts, `octet_length` sums and catalog sizes answer every sizing question this project has needed; nothing requires reading a row of anyone's story. --- ## Pick up here **`plan/14-phase-story-tree.md`, SP2 — the branch clause.** SP0 (the regression contract and the `--rich` fixture) and SP1 (schema, migration, and the writer that keeps new rows on the tree) are done and green; nothing is deployed yet. SP2 is where the reads move onto `(branch_id, depth)`, and where the highest-risk line in the whole phase lives: `history._from_memory()` slices `adventure.actions`, which under a tree is *every branch's* actions rather than the path. Make that shortcut branch-aware or delete it. **The schema is live in code but not on production.** When SP1 ships, the deploy needs one `VACUUM FULL actions;` on the direct (non-`-pooler`) endpoint afterwards — it rewrites every row. See the 144 MB lesson at the top of this file. Two things from the egress work are worth carrying into it: - **Paging already anticipates the tree.** `action_window` in `routers/adventures.py` anchors on an action id and orders by comparing `Action.index`, never by treating index as a position. A branch changes which actions are on the path, not how two of them order, so the anchor survives; anything counting offsets would not. - **Weigh new columns in bytes.** A tree adds parent/branch columns to `actions`, which is already the table that fills the disk. `tests/test_egress.py` has byte ceilings now — they will tell you. **After any migration that rewrites `actions`:** one `VACUUM FULL actions;`. That is the lesson of the 144 MB above — a rewrite doubles the table and only a `VACUUM FULL` gives it back. Phase 14's migration rewrites every row. **There is a 600-action adventure to test against now** — `--keep`, below. The tree's frontend work lands on the same scroll path that has still never been driven by hand, so drive it before rewriting it. --- ## What happened on 2026-08-17, part four — the tree, SP0 and SP1 No behaviour change, and none intended: a linear story is a tree with one branch, so every adventure reads exactly as it did. **297 tests green** (259 before the phase started, 283 with SP0's contract, 297 with SP1's migration tests). **SP0** built `tests/test_story_tree_baseline.py` — 24 tests driving the product over HTTP, asserting only on API responses — and `tools.stress_session --rich`, a correctness fixture beside the scale one. Both on branch `phase-14-story-tree`. **SP1** put the tree in the schema, on branch `sp1-tree-schema`: a `branches` table, `branch_id`/`depth` on actions and memories, `head_branch_id`/`head_depth` on adventures, migrations 46–52 with a server-side backfill, and `app/tree.py` for the write side. Nothing reads any of it yet. Four things worth not rediscovering: - **A schema needs its writer in the same subphase.** No migration will ever visit a row written after it ran, so columns backfilled today and populated-on-write next week leave a hole exactly the width of one deploy. `app/tree.py` stamps every new node, including the ones `seed_demo.py` and the stress fixture write — a fixture built by `create_all` is stamped LATEST and no migration ever touches it. - **SQLite will not drop a column a foreign key names.** Two tests simulated an old database by rewinding the *stamp* while `create_all` left the new columns in place; that works until the next `ADD COLUMN` lands, and then it fails on a duplicate column. Every `ADD COLUMN` migration is now idempotent (`migrations._column_already_there`), which is the `IF NOT EXISTS` SQLite has no syntax for. A true pre-migration fixture has to drop and rebuild the tables from frozen DDL, which is what `test_tree_migration.py` does. - **Two mutually-referencing tables cannot both carry the foreign key.** `create_all` refuses to order the cycle, and its escape hatch (`use_alter`) needs an ALTER SQLite does not have. `adventures.head_branch_id` is a plain integer and a documented cache. - **The suite went 20 s → 38 s, and it is not the app.** One new table plus one index adds ~47 ms to a `create_all`/`drop_all` pair on SQLite (DDL fsync), and nearly every test does one. Measured, not guessed. Egress is unmoved: `branches` is 0.1 kB of a 733.5 kB turn, and the page-load and index shapes are byte-identical to the numbers above. ## What happened on 2026-08-17, part three No behaviour change. A way to get a long adventure in front of a browser, because the one open gap needed a subject and there wasn't one. **`tools.stress_session --keep PATH`.** The harness already built a production-shaped 600-action adventure and then threw it away with the temp file; `--keep` writes it somewhere durable and makes the app able to serve it. Two edits are needed for that, and both are the kind of thing that costs an hour to rediscover: - **`create_all()` does not stamp the schema version.** `bootstrap()` reads a populated-but-unstamped database as ancient and replays every migration against a schema that already has the columns. `--keep` stamps `PRAGMA user_version` to `LATEST_VERSION`. - **The fixture's user is a registered one.** In local mode `get_current_user()` looks for the row with `email IS NULL` and `is_guest` false, so without clearing the email the app opens on an empty library and nothing owns the 600 actions. `--keep` is read before argparse exists (`_early_keep`), because where the database lives has to be settled before `app.database` is imported — the same constraint the `AIDND_STRESS_DATABASE_URL` block at the top of the module already lives under. SQLite only; combining it with a Postgres target is rejected rather than half-honoured. Verified: the fixture boots with no manual step, `action_count` 600, the first payload carries 60 actions, and `before_id` walks back through 9 more pages to the start — 600 seen, `has_more` false at the end. 259 tests pass. **Snapshots can be shrunk for this.** `--snapshot-bytes 2000` keeps the file at ~2.5 MB instead of ~140 MB. `context_snapshot` is deferred and never reaches the browser, so it changes nothing about what scrolling exercises — but do not shrink it when *measuring*, where it is most of the point. **Port 8010, not 8000.** Covered below, and now printed by `--keep` itself. --- ## What happened on 2026-08-16 Four commits, all on the egress work that has to land before the tree. ### 1. A byte meter, in the repo this time — `7ee5cee` `backend/tools/dbmeter.py` + `backend/tools/stress_session.py`. ``` cd backend .venv/Scripts/python.exe -m tools.stress_session .venv/Scripts/python.exe -m tools.stress_session --shapes turn --repeat 2 .venv/Scripts/python.exe -m tools.stress_session --no-embeddings # the old blind spot ``` It counts **bytes at the DBAPI cursor**, not queries — both egress blowouts this project has had were one query fetching a column nobody read, and a statement count showed nothing wrong in either. It drives a production-shaped synthetic adventure through the real routes with only the LLM and the embedding endpoint faked. **The memory bank is ON by default and that is the whole point.** The previous harness ran without an embedding model configured; embedding providers are BYOK-only by construction, so `retrieve_memories` returned early every time and the heaviest read in a turn never happened. `--no-embeddings` reproduces that deliberately — the gap is 29x. It calibrates against the two figures measured directly on production: 426.7 kB for a 200-action page load against 423 KB, and 3,258.7 kB for one turn against 3,153 kB. It runs on SQLite, so treat absolutes as production-*shaped* and compare before/after. ### 2. Packed float32 embeddings — `c568648` Migration 38 + `app/vectors.py`. A 1536-dimension vector as a JSON list is ~31 KB; the same numbers as float32 are 6,144 bytes. **Not a precision trade** — the endpoints compute in float32 and render that into JSON, so converting back is bit-exact. Nothing re-embeds, no API calls. The backfill is the one in `migrations.py` that cannot be portable SQL, so it comes through Python, batched. Migration SQL can now be a `{dialect: sql}` map (BLOB vs BYTEA have no common spelling). ### 3. Ranking the bank without reading the bank — `b7e53ae` `retrieve_memories` walked `adventure.memories`, loading every row *with its vector*. It now asks SQL which memories are in play (an id and a flag per row), ranks against vectors held in process, and fetches text only for the top-K it picks. Two more callers were doing the same thing, and the production SQL could not see either: `_evict_over_capacity` walked the bank to count it, `_embed_pending` walked it to find rows with no vector. A played turn cost **6.4 MB**, not the 3.2 the plan assumed. | shape | before | cold | warm | |---|---|---|---| | one turn | 3,258.7 kB | 723.4 kB | **122.3 kB** | | `run_post_turn` | 3,139.1 kB | 0.7 kB | 0.7 kB | | Insights | 3,223.7 kB | 117.9 kB | 117.9 kB | | Memories drawer | ~3.1 MB | 23.7 kB | 23.7 kB | A played turn is turn + post-turn: **6.4 MB → 123 kB**, 52x. Migrations 39/40 add `memories.embedded`, migration 41 drops the capacity default 200 → 80 for rows still on the old default. --- ## What happened on 2026-08-17, part two Everything left open in `plan/13` closed, plus two bugs that fell out of doing it. | shape | before today | after | |---|---|---| | page load, 600 actions | 606.0 kB | **62.6 kB** — and no longer grows with the story | | adventures index, 6 fat adventures | 469.7 kB | **0.3 kB** | | `context_snapshot` on disk | ~89 MB | 47.5 MB measured (3.2x) | | database total | 99.6 MB | **65.0 MB measured**, after the second vacuum | **One follow-up after the merge** (PR #2). Prepending older actions changes `actions`, and the bottom-pinning effect watches `actions` — so unless a scroll had already un-pinned the view, loading earlier turns jumped to the newest one instead. A prepend now clears the pin explicitly. Found by re-reading the path, not by running it. **The story is a window now.** `GET /adventures/{id}` returns the newest 60 actions and `action_count`; older pages come from `GET /{id}/actions?before_id=`. Anchored on an action, never an offset — an offset counted back from the newest shifts every older position the moment a turn lands, which is exactly when someone is scrolling. `Play.jsx` prepends and restores scroll position in a `useLayoutEffect`, before paint. **`context_snapshot` is compressed** (migrations 43–45, `app/compression.py`) via a TypeDecorator, so every call site still reads and writes a dict. Verified end to end on a throwaway Neon database: 720,864 B of JSON to 204,293 B of bytea, every row equal. **The JSON vector column is gone** (migration 42) — and dropping it exposed that changing your embedding model had silently stopped re-embedding the bank since migration 38. The settings route cleared the dead column and left `embedded` true, so `_embed_pending` never saw those rows and retrieval kept ranking against the old model's vectors. Nothing reported it: `cosine` returns 0.0 on a width mismatch. `tests/test_embedding_model_switch.py`. **Byte ceilings exist** (`tests/test_egress.py`), including one test whose only job is to prove the ceilings would catch something. **List responses name their columns.** The index was loading whole Adventure entities — seven text and JSON columns, ~15 kB a row — to render a title and a snippet. ## What happened on 2026-08-17, part one No new behaviour — a verification pass on what shipped the day before, because every number in the section above had been measured on SQLite against a synthetic fixture. Full write-up in `plan/13` under "Verified on production". **It holds.** `schema_version` is 41 on the live Postgres with `embedding_blob bytea` and `embedded boolean` present, so migration 38's dialect map is correct against a real server. The backfill is complete (134/134). The packed vectors are **5.04x** smaller than the JSON on real data — 30,971 → 6,144 bytes a memory, as predicted. **SQLite was not lying.** `tools.stress_session` can now target Postgres via `AIDND_STRESS_DATABASE_URL`, and every shape agrees within 0.5% — the warm turn is 121.1 kB on Postgres against 122.3 kB on SQLite, with `memories` down to 1.7 kB of it. Run it against a **throwaway** database only; the harness writes, so it refuses any target whose name does not contain `stress` or `scratch`. **Two corrections came out of it**, both above: the page-load model has the wrong shape (too heavy per action, far too short), and the storage ceiling was never costed. ## Things worth remembering **The vector cache needs no invalidation callbacks, and that is why it is safe.** A stored vector can only change through `memorybank.set_vector`, which drops that one entry. Anything that *removes* a memory from play — eviction, deletion, pruning, an edit clearing the vector — falls out of the catalogue query, and entries missing from the catalogue are dropped on the next read. So there is no hook anyone can forget to call. It is in-process and assumes one worker, which is what the deploy runs. **Weigh new columns in bytes, not rows.** The comment on `Memory.embedding` said "fine at bank sizes of a few hundred" and was wrong by the only measure that mattered: a few hundred JSON vectors is ten megabytes, fetched fresh every turn. **A deferred column needs a cheap flag beside it.** `memories.embedded` exists because once the vector is deferred, every "is this embedded?" check becomes a 6 KB lazy load, once per row down the Memories drawer. Exactly the same shape as `actions.variant_count` beside `actions.variants`. Expect to need this for any future heavy column. **Any egress measurement must run with an embedding model set.** This is the second time that omission has hidden the biggest number in the room. **Production has real users on it now. Measure it without reading it.** Counts, `sum(octet_length(...))` and `pg_total_relation_size` answer every sizing question asked so far, and none of them return anyone's story, memory text or email. When a real Postgres is needed for a *write* path, create a throwaway database beside the real one and drop it after — never point a harness at the production database. **`octet_length` is the egress number, not the on-disk number.** Postgres TOAST compresses big JSON — `context_snapshot` is 150.8 MB uncompressed but ~89 MB stored — and decompresses before sending. Size reads with `octet_length`, size the storage bill with `pg_total_relation_size`, and do not mix them up. --- ## `plan/13` is closed All six of its open items landed on 2026-08-17, and are live. What is left is not from that plan: - **Nothing has ever exercised the scroll in a browser** — still true, but there is now something to exercise it *on*: `--keep` builds a 600-action adventure the app will serve (see 2026-08-17 part three). The subject is no longer the excuse; only the looking is left. This is the one real gap, and it has already cost something: re-reading that path after shipping turned up a bug where loading earlier turns scrolled *past* them to the end of the story, worst on the short-window case the button exists for (fixed, PR #2). One bug found by reading means reading is not a substitute. Either scroll a long adventure by hand, or add a vitest + jsdom harness — that would have caught this one. jsdom has no layout, so the scroll-position arithmetic still needs eyes. - **`ACTION_PAGE = 60` is a guess.** It should be a page or two of reading. If loading older turns feels like it interrupts, that is the number to move (`routers/adventures.py`). One data point: at 600 actions it takes the window plus **nine** more pages to reach the start, which is a lot of button presses for anyone going back to the beginning. - ~~Post-vacuum sizes unmeasured~~ — measured 2026-08-17, and the vacuum that mattered was run then too. 65.0 MB. See the top of this file. - **Anyone who switched embedding models has a stale bank.** The bug is fixed, but those memories only re-embed as the post-turn pass reaches them, which costs an embedding call each. Nothing forces it; playing does. Deliberately not taken: moving `context_snapshot` out of the database entirely (compressing it bought the same runway for a much smaller change), and pgvector (breaks the SQLite dev parity this codebase protects on purpose). --- ## Running things ``` cd backend .venv/Scripts/python.exe -m pytest tests/ # 297 tests (~38s) .venv/Scripts/python.exe -m tools.stress_session # egress report (SQLite) # Same harness against a real Postgres. The target must be a THROWAWAY database # — this writes a synthetic adventure, and it refuses any name without # 'stress'/'scratch' in it. AIDND_STRESS_DATABASE_URL=postgresql://…/stress_scratch \ .venv/Scripts/python.exe -m tools.stress_session ``` **A long adventure to scroll**, instead of a temp file the report discards. The snapshots are shrunk because they never reach the browser — 2.5 MB rather than 140 MB — and `--shapes list` skips the measurement work the fixture does not need: ``` cd backend .venv/Scripts/python.exe -m tools.stress_session \ --keep ./scroll_fixture.db --snapshot-bytes 2000 --shapes list AIDND_DB_PATH=$PWD/scroll_fixture.db \ .venv/Scripts/python.exe -m uvicorn app.main:app --port 8010 cd ../frontend && AIDND_API_PORT=8010 npm run dev # → localhost:5173 ``` Everything in it is synthetic and no real adventure is read. `*.db` is gitignored, so the fixture never lands in a commit. **A fixture to check correctness against, rather than bytes.** The measuring fixture leaves every column it does not weigh at its default, which turns out to be exactly the set a story tree has to migrate — `state_before`/`world_state_before` NULL on all 600 rows, no RPG scenario, no adventure scripts, both cursors 0, and retry attempts whose text is byte-identical with `variant_index` always 0. `--rich` fills in those and only those: ``` cd backend .venv/Scripts/python.exe -m tools.stress_session --rich --actions 30 --memories 12 ``` Prefer it small — it exists for variety per row, not for rows. **Its byte figures are not comparable to a plain run**, and it does not replace the scale fixture, which still holds the egress ceilings. On Windows the report's box-drawing characters crash the default cp1252 console; prefix with `PYTHONIOENCODING=utf-8`. Port 8000 is shared with the job-pipeline app, which will squat it and silently shadow the AI-DnD API — free it before running the backend, or move the vite proxy with `AIDND_API_PORT`, which is what the `--keep` recipe above does.