334071199e1c45e65e375bdb29cb2f200a0ccf8c
15
Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 ZacharyZhang-NY
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9145a23f18 |
Require a token for writes and quarantine what nobody vouches for
Sixteen mutating routes now refuse a caller who cannot present the token the server started with; queries stay open, because a question is not a write. The environment variable is ELY_EYE_AUTH_TOKEN, following the repo's env_prefix convention — the shorter name I reached for first returned 403 where the smoke expected 401, and the server printed the reason. Words from a stranger are quarantined on the way in: an HTTP upload is third_party by definition, and a sentence carrying an instruction-shaped phrase is quarantined whoever wrote it. A quarantined atom stays findable and stays out of the compiled context until a second, live, unquarantined source agrees with its rarest words. Corroboration is computed at read time because it is a property of the corpus now, not of the moment a memory was written; it is term-level, and the docstring says so. forget now erases the source row and the compiled contexts beside the atoms, so a forgotten memory leaves nothing that can still speak. The semantic cache key carries a store revision, which fixes a real staleness: a context compiled before new evidence arrived kept its old quarantine decision forever. bench.audit --product still pointed at evals.py, which the p1-6 split moved into backend/src/ely_eye/proofs/. It failed fast, but the anti-self-justification rule had quietly stopped auditing the product; it now walks the package, and a test pins that the package exists and holds no re-roll. Gates: pytest 306 passed; ruff clean; mypy cold cache 24 errors in 9 files, the recorded baseline, net zero; pyright 0 errors on the 23 backend files and the 2 bench files; go build/vet/test and gofmt clean; npm run build 221.39 kB with eslint exit 0; bench/filesize_check clean; bench.audit --product clean over 31 harness files; scripts/mcp_write_smoke.sh PASS with the gate live across two servers and the MCP child. |
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ZacharyZhang-NY
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9cb46c18d3 |
Keep every file inside the rules the repo already wrote down
The 500-line rule and the one-line-comment rule were enforced only from
memory, so they drifted. bench/filesize_check.py now checks the budget on
every tracked source file, and it passes.
Split, with behaviour proven unchanged by comparing each moved function body
against HEAD byte for byte (53 training bodies, 21 benchmark bodies, 0
differences):
db.py 503 -> 396 store_search.py 105
bench/run.py 609 -> 351 query_set.py 80, report.py 211
benchmarks.py 619 -> 424 benchmark_scoring.py 262
training.py 1630 -> 94 training_{common,encode,metrics,datasets,lora,retrieval}
TrainingService stays as a thin facade for the CLI; the facade's parameter
lists are pinned against the module functions by inspect, which is what
catches a leaked self.
Deleted the eight top-level functions no file called, after fixing the scan
that had reported 201 false positives by skipping the defining file. The
v1/v2/v3 sweep found nothing to delete and says so: every remaining version
tag is an on-disk format marker, a migration step, a fixture name, or a
third-party model name.
Collapsed 39 multi-line comment blocks (86 lines) to one line each, keeping
the measured facts and error strings that justify the code.
269 tests pass; ruff clean; mypy 24 errors in 9 files against a 24-in-6
baseline, net zero; pyright 4, the same four HEAD measures.
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ZacharyZhang-NY
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6df713d135 |
Keep the self-report shapes in a module the line budget can hold
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ZacharyZhang-NY
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9f91ff7ed7 |
Let the console search, browse, forget and mount
The store had a write path, a mount path and a search path, and the console
still showed a dashboard of counters. Nothing in the UI could ask what someone
knows, page through atoms, look at a wordless picture, forget one memory, or
mount a cartridge — so the mechanisms built in P0 were invisible.
Backend:
- senses.py: one function decides what this machine can perceive. /api/status
and doctor each computed it before, which is two truths. Picture atoms are now
counted by image_ref rather than by modality, so a screenshot crop from a PDF
counts and a picture whose bytes were deleted stops claiming it can be encoded.
- browse.py: GET /api/atoms pages newest-first through v_atoms_current with
modality/holder/source filters; GET /api/atoms/{id}/image serves the stored
bytes so a picture with no OCR text can be looked at.
- Deleted 8 HTTP routes nobody calls (4 benchmark, research modules, dense index,
visual-contradiction-proof, memory-map). Their functions stay: the CLI and the
proof checks use them. The surface is 30 routes, pinned as a set by a test so a
new unused route fails the suite.
Frontend: App.tsx (517 lines) became a 131-line shell plus seven panels that own
their own fetches, and lib/format.ts. types.ts now carries the memory dimensions
the backend has been sending since schema v2.
Two invented fields were rendering lies: AdapterPanel showed gpu_available and
probe_status, which AdapterLoadReport does not have — every machine looked GPU-less
including this one. The panel now shows only what the server says.
Proof: scripts/ui_smoke.sh starts the API on a fresh temp home, serves the built
UI from the same origin, and drives five interactions in a real browser — search
as somebody in a scenario, page and view a wordless picture, forget, mount, read
adapter states with reasons. It prints the mount refusal verbatim rather than
pretending the mount succeeded.
Gates: 263 pytest passed; ruff and mypy clean on the 8 touched backend files
(repo-wide mypy unchanged at 24 errors / 6 files); pyright 0 errors there;
go build/vet/test/gofmt clean; npm build + eslint clean; ui_smoke and
mcp_write_smoke both PASS.
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ZacharyZhang-NY
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922d01202f |
Run the same checks on Linux that the Windows scripts run
The product could only reach a GPU through one hard-coded route: `wsl.exe -d Ubuntu`, a device named "RTX 4090", and launch scripts that existed only as PowerShell. On this machine `WSL_DISTRO_NAME` is already set, so the local shell is Linux and the wsl.exe hop was unnecessary; on any other Linux host it is impossible. Every SGLang, vLLM and KTransformers profile was reported "missing" here even with a working 4090. profiles.py now asks the host what it is instead of assuming: `uses_wsl()` is false inside WSL and only true when wsl.exe is actually on PATH, `host_shell()` runs `bash -lc` directly or through `wsl.exe -d settings.wsl_distro`, `gpu_available()` replaced `wsl_gpu_available()`, and `launch_script()` picks the .sh twin on a Linux host and the .ps1 on a Windows one. The schema field `wsl_gpu` became `gpu_available` because the old name lied on Linux. Training no longer fails on a card name. `cuda_bf16_training()` gates on cuda_available plus bf16_supported, which the training environment already records, so an RTX 5090 or a 4080 passes and a non-BF16 4090 still fails. Fourteen .sh twins cover the six launch profiles plus install, verify, serve, download and finetune; the six WSL-hopping .ps1 files read ELY_EYE_WSL_DISTRO instead of Ubuntu. PowerShell parsing is not verified here because no pwsh exists on this host. ci.yml runs pytest, ruff, go build/vet/test/gofmt, the Vite build and a docker build-plus-curl on every push. To make that lint gate mean anything, the 17 pre-existing ruff findings across backend/src are cleared: 14 mechanical fixes plus three probe handlers that now name the failure families they absorb (OSError, SubprocessError, ValueError) instead of catching Exception. Verification: pytest 239 passed; ruff check backend/src bench clean (17 at HEAD); mypy on the 12 touched files 14 errors, identical at HEAD; pyright on the same files 8 errors, identical at HEAD; bash -n clean on all 15 .sh. |
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ZacharyZhang-NY
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6f8764099a |
Make the image build from a clean clone and actually serve the interface
The Dockerfile copied PRD.md, which is not in the repository, so a clean clone could not build at all. It also installed node and npm from Ubuntu 24 (node 18) to build a Vite 8 front end that needs node 20.19 or newer, and it built the interface into a directory nothing served. The build is now two stages: node:22 builds the interface, the CUDA runtime image installs the package and carries the built files. The API serves them when ELY_EYE_UI_DIR points at a directory that exists, and refuses to start when it is set but empty, naming the build command. The front end already calls /api/... on its own origin, so same-origin serving needs no client change. |
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ZacharyZhang-NY
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2fbb4af96b |
Resolve adapters by what is mounted, and say why each kind is not loaded
runtime.py resolved adapters at 7 call sites and only ever looked in the
adapter library, so an adapter attached to a cartridge (cartridge.py:230
copies it into <cartridge>/adapters/{kind}/) was never loaded by anything.
Resolution now lives in adapters.py: it reads the mounted cartridge set,
prefers a mounted cartridge's copy over the library, and answers every one
of the six kinds with a state the facts support — loaded, available,
deferred (base_model mismatch or missing weights, both models named in the
reason), missing — plus a shadowed row for each adapter that lost the
choice. A mounted cartridge is the scenario selection; neither manifest
carries a scenario field, so none was invented.
Two bugs the new tests caught: the preference sort lost reverse=True, so a
library adapter beat a mounted cartridge's copy, and the load branch had
never been executed by a test. Stub weights now prove peft is asked to
attach, that the returned model is put in eval mode, and that the endpoint
reports loaded until unload clears it.
Faces: GET /api/runtime/adapters, `ely-eye adapters`, and a log line naming
the reason whenever a generation runs without an adapter.
Gates: 222 passed; ruff clean; mypy cold cache on the 7 touched files gives
the same 2 errors as HEAD's runtime.py, and pyright gives the same 2 as
HEAD — both are qwen_vl_utils typing artifacts (process_vision_info returns
2 or 3 values depending on return_video_kwargs; the product takes 2).
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ZacharyZhang-NY
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03ca35763f |
Give wordless pictures a way to be found
A screenshot with no OCR-able words used to be a memory nothing could reach. It now has a vector, and a question can be asked with it. - picture space: Xenova/chinese-clip-vit-base-patch16 fp16 ONNX, 361MB, sha256 0fad978faa89b85f…, CPU-runnable on the onnxruntime the repo already ships. Text 76ms, image 29ms/image at batch 8. The ONNX contract was measured, not assumed: it is the fused contrastive graph, so the unused tower is fed a placeholder row, and the tokenizer must be BertTokenizer — a CLIP tokenizer emits ids past the embedding table. - visual_index.py keeps picture vectors in their own family beside the text ones, keyed by atom id, and refuses to answer when the map and the array disagree. retrieval.py stays under 500 lines. - a search can be asked with a picture, and when the words come up thin the picture ranking joins the fusion — but only then, so a text query never pays for the encoder. - visual tokens are counted at 32x32 patches (migration v7): 21,325 image atoms went from 5,331 to 34,618 tokens, and the library from 29.9M to 84.2M. The 100M capsule fits this 50,278-file corpus and nothing much larger — that is what the claim actually means. - the vision-language describer is written and gated: with no snapshot an atom records "deferred: no vision-language model snapshot"; a broken model becomes a note on the atom instead of a dead ingest. - forget now voids the picture index and the copy this process holds, so a forgotten picture stops answering from RAM. Measured, six arms, ScreenSpot-v2 (554 icon crops, 408 whole screenshots), bench/reports/VISUAL.md: icon pool picture 0.208 words 0.175 chance 0.018 screenshot pool words 0.384 picture 0.215 screenshot to icon 0.108 — CLIP is a whole-image model, not a grounding model: it cannot point at one small icon inside a screen. within one screen MRR 0.908 (recall@10 is 1.000 there only because chance is 1.000 too, so MRR is the only honest number in that row). ScreenSpot-v2 instructions are all English, so this run does not test the bilingual claim and the report says so. Gates: 199 tests, ruff clean on 17 files, mypy clean on 16 (fresh cache), the repo's own pyright 0 errors on the 12 files touched. |
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ZacharyZhang-NY
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4ab36cd5eb |
Make the proof suite say what it actually ran
The suite had fifteen checks that could not lose. The visual HashHop arena painted a cyan line and a white ring on the answer slot, then asked the model to find the answer by looking; the collector re-rolled puzzles until the running rate crossed its target; the cache check passed if any layer had ever recorded an entry; the repository check passed on a call graph built in memory without touching the store; the research-module check asserted non-empty lists of SHA256-derived placeholder vectors and so could not fail. Each check now answers for one claim and reports a verdict the reader can act on: passed, failed, deferred, or removed. A deferred row names what is missing and the command that would settle it; a removed row says why the old claim was withdrawn. The suite verdict is failed > deferred > passed, so a claim that never ran holds the whole report back from saying "proven". - evals.py (2427 lines) becomes the proofs/ package; largest module 445 lines. - proofs/__main__.py deleted: it duplicated PRDProofSuite.latest() with a different glob. proofs/table.py renders; latest-proof-suite is the one face and exits 1 on a failed verdict. - The arena paints nothing. The puzzle id is printed on its tile instead, because removing the ink without it removes the question. - HashHop runs a fixed 8 puzzles per depth instead of re-rolling to target. - The contradiction corpus moves from code to contradiction_scenarios.json; the check stays deferred while the corpus is the one this repo authored. - The cache check compiles a nonce question over a real atom twice and reads the miss to hit movement; an empty store fails instead of agreeing by luck. - The repository check requires rows in the store; the research-module check is removed. Two product bugs surfaced on the way: - text_index.fts_query joined Latin terms with a space, which FTS5 reads as AND, so a question longer than its answer retrieved nothing. Terms are ORed and bm25 rank orders the candidates. - profiles.windows_path_to_wsl prefixed /mnt/ onto an already-POSIX path with an empty drive, producing /mnt//home/... and failing every launcher probe. Verification: 168 passed (pytest backend/tests bench/tests); ruff clean on the proofs package, cli.py, text_index.py, profiles.py, and both test files; mypy clean on 16 files with a fresh cache; pyright reports 0 errors on proofs/ and the test file. Ruff debt elsewhere is unchanged: 19 errors in seven files this commit does not touch, measured against the same files at HEAD. |
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ZacharyZhang-NY
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dfc6cd4c28 |
Give the system a directory: ask who knows, then ask them
A memory system that only answers from its own store is a filing cabinet, not a partner. The transactive rule the project is named for — not knowing is fine when you know who does — needed a holder registry, a directory query, and a referral that never leaks the text it may not read. - schema v5 adds `holders` (person/agent/service, declared topics, contact). A holder with memories exists whether or not anybody registered them; the registry adds reachability, it does not grant existence. - `who_knows` ranks holders by their own memories and is deliberately NOT filtered by visibility: "she knows" is the answer. The answer is filtered. - `ask` searches the asker's visible scope first (hop 0), then walks the directory with a visited set and a hop budget. Three terminal states: answered, referred, no_holder_knows. Nobody knowing is a result, not an error. - Confidence is ordinal, not calibrated: relative strength, coverage, and declared topics. Every hit carries the raw numbers and the basis lines that produced the score, so a ranking can be argued with. - Faces: HTTP (/api/holders, /api/who_knows, /api/ask), CLI (holders, holder-set, holder-rm, who-knows, ask), MCP (who_knows, ask, list_holders). Four bugs found by running the thing, not by reading it: - FTS5 refuses bm25() inside MAX(); the aggregate uses FTS5's own `rank` column. - A CJK question is longer than the sentence that answers it, so the whole-run phrase matched nothing. The query now ORs adjacent bigram phrases; adjacency is kept, equal length is not. Latin path untouched, baseline unaffected. - The hop budget counted the asker as a hop, so max_hops=1 asked nobody. - A second, stricter readability test in _answered() disagreed with the SQL visibility clause and hid a memory the asker was allowed to read. The SQL clause is the only authority now. A method named `list` shadowed the builtin inside its own class and made mypy reject the return annotation; renamed rather than cast around it. Proof: 155 pytest, 12 Go tests, ruff and mypy clean on touched files, pyright ledger unchanged at 62, and scripts/mcp_write_smoke.sh drives two principals on one SQLite file — the husband asks through MCP, gets `referred` with his wife's contact channel, and her private sentence appears nowhere in the reply. |
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ZacharyZhang-NY
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9fe13fffb3 |
Make a cartridge a scope you mount, not only a bundle you export
A cartridge used to be an export: materialize it, hash it, and never let it
change behaviour again. The transactive-memory promise needs the opposite —
mounting the home cartridge must make the work cartridge's memories
unfindable, and appending to a cartridge must make a new memory findable
through it.
Cartridge scope (schema v2 -> v3):
- cartridge_atoms (which atoms are in which cartridge) and cartridge_mounts
(which cartridges this machine has mounted now); both rebuilt on reopen,
because a mount is a machine-local state, not a fact about the data.
- mount / switch / unmount / append refuse a cartridge that was built for a
different runtime, naming every differing field instead of a boolean.
- append rewrites atoms.parquet and sparse_index.bm25.zst, recomputes DNA and
the KV fingerprint, and keeps the cartridges row in one SQLite transaction;
the files are written first so a failed export cannot leave a half-cartridge
in the database.
- RetrievalService.search() now ranks inside the mounted scope by default, and
an explicit cartridge_ids filter overrides the mount. Nothing mounted means
the whole library, so an empty store behaves as it did before.
- forget() removes the forgotten atoms from every cartridge's membership:
forgetting must not leave a memory retrievable through a cartridge.
KV fingerprint (kv_fingerprint.py, stored in the manifest):
- model / tokenizer / chat-template hashes, the RoPE block (factor,
original_max_position_embeddings, mrope_interleaved, mrope_section,
partial_rotary_factor), the adapter hash, the context length, the engine
version, and the fingerprint format version.
- A snapshot we cannot read is recorded as unverifiable and listed in
unverifiable_fields; a blind machine refuses to mount rather than pretending
the runtime matches, because a wrong RoPE factor silently corrupts retrieval.
Two defects found by running the new tests, not by reading:
- atoms.parquet could not export a memory at all: pyarrow refuses a struct with
no child field, so metadata={} failed the whole table. The six JSON columns
are now written as JSON text and decoded by the cartridge reader.
- materialize() inserted cartridge membership before the cartridges row existed,
so the foreign key rejected every cartridge.
api.py crossed 500 lines, so the cartridge and mount routes moved to
api_cartridges.py. That module must not use `from __future__ import
annotations`: FastAPI then resolves Depends(settings_dep) against module
globals, where the injected dependency is only a parameter of register(), and
every route starts demanding settings as a query parameter.
Verification: 138 pytest passed (26 new: 10 fingerprint, 16 scope), Go
build/vet/gofmt/test clean, and scripts/mcp_write_smoke.sh now proves the whole
loop across two processes - mount narrows search, a memory written after the
upload is invisible until append_to_cartridge, unmount restores the library,
and rewriting the RoPE factor makes mount_cartridge refuse with "rope: factor:
cartridge 4.0 vs local 2.0". ruff clean on every touched file (the 20 remaining
package errors are in files this change did not touch; HEAD had 25). mypy: one
error, the pre-existing np.savez stub artifact at cartridge_assets.py:329
(HEAD:320). Repo pyright: 62 errors, unchanged from the p0-3 ledger.
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ZacharyZhang-NY
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674c88e84e |
Rank memory search in SQL instead of rebuilding BM25 in Python
The product path pulled every atom into Python and rebuilt a BM25Okapi
index per query: p50 20.16s over 165,973 atoms. It now runs one SQLite
statement with LIMIT/OFFSET.
- text_index.py: one normalizer for both sides of the index. CJK runs are
split per character (unicode61 cannot segment them), camelCase and
separators are split so "search atoms" finds SearchAtoms, latin tokens
get a prefix match. Rows written before this existed hold raw text in
atom_fts, so schema v3 rebuilds the index on upgrade.
- retrieval.py: filters (holder / scenario / source / modality / since /
until / min_trust), a base64 cursor, and reciprocal rank fusion in place
of the 0.55/0.35/0.10 blend whose graph term was always zero.
- An empty result is {status: "no_match"}, not a bare array.
- Go: search_atoms and compile_context rank through POST /api/search. The
second Go tokenizer is deleted; two implementations could drift, which
is what the MCP/HTTP parity requirement forbids.
- db.py passed 500 lines, so the row codec moved to row_codec.py.
- Tooling: installed the repo's own pyright. pyrightconfig.json had no
exclude and swept the downloaded corpus (1171 errors); with excludes the
count is 62, all pre-existing (evals 48, profiles 4, training 4,
ingestion 3, runtime 2, cartridge_assets 1). backend/pyproject.toml
carried a second [tool.pyright] that shadowed the root config; deleted.
- bench/scale_check.py measures the product search at corpus size. The
100k-atom p50 number is not written until it is measured on an idle
machine.
Verification: 112 pytest passed; go build/vet/test clean, gofmt clean;
ruff clean on every touched file; mypy clean on the 14 touched Python
files; repo pyright 62 errors, unchanged per-file ledger.
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ZacharyZhang-NY
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3d792417cf |
Give the write path a CLI and an MCP face
remember / supersede / forget now reach the one Python writer from a terminal, from MCP, and from HTTP. The server, not the caller, decides who owns a memory. - cli: remember, supersede, forget. --holder falls back to settings.default_holder until the holder registry lands. Timestamps are parsed once with one clear message. - ingestion: import pymupdf as fitz. The deprecated fitz import printed a warning to stdout, so every CLI command's JSON answer was unparseable. - mcp: remember, supersede_memory and forget_memory forward to the Python writer over HTTP (ELY_EYE_API, default http://127.0.0.1:8765). SQLite stays read-only to the Go side, so the write rules live in one place. - mcp reads follow schema v2: atoms.time became ingested_at, and reads go through v_atoms_current, so a superseded memory stops being findable. holder, origin, scenario and event_time now show up in fetch_atom and search_atoms. - scripts/mcp_write_smoke.sh proves the loop end to end: remember, search, supersede, forget, then not found. Evidence: 92 pytest passed; go build, go vet and go test clean; mypy clean on the 10 touched source files with a fresh cache; ruff clean except a pre-existing B008 at cli.py:292, identical at HEAD. |
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ZacharyZhang-NY
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181f6bf57e |
Give every memory a holder, an origin, a time and a scenario
An EvidenceAtom could say what was remembered and nothing else: not whose memory it is, not where it came from, not when it was true, not in what situation it may be used. The baseline measured the cost of that: the same ranker scores recall@10 0.412 over the whole corpus and 0.866 inside one holder's memory, so the missing holder column is worth more than any ranking change in the ablation. - schemas.py: MemoryOrigin, TimePrecision, Visibility; EvidenceAtom gains holder_id, origin, scenario, event_time / event_time_end / event_time_precision / event_time_source, valid_from / valid_to, supersedes, visibility, retention_until. `time` is renamed `ingested_at` — ingestion time gets one name, not two. A validator refuses valid_to before valid_from, event_time_end before event_time, and an atom that supersedes itself. - migrations.py: schema v2 with PRAGMA user_version. A first-version database is upgraded in place (ALTER + RENAME COLUMN), rows intact, and a database newer than this build refuses to open instead of being silently downgraded. - v_atoms_current hides memories that are closed, lapsed or not yet begun; unknown bounds read as visible. Time travel is db.atoms_as_of(moment, holder) because a SQLite view cannot take a parameter. - evaluation_schemas.py: the proof and benchmark report shapes move out of schemas.py to keep it under the file-size limit; importers follow. - backend/tests/test_memory_schema.py: 8 tests, including the v1 -> v2 upgrade and the validity timeline. Verification of record: pytest backend/tests bench/tests -q -> 70 passed; ruff check on every touched file -> all checks passed; mypy (fresh cache) on db.py, migrations.py, schemas.py, evaluation_schemas.py and backend/tests -> no issues. evals.py carries 40 pre-existing mypy errors at HEAD and 40 after this change (measured on both copies); its pyright findings are the same debt, and p0-6 rewrites that file. `peft` and `pyarrow.parquet` "could not be resolved" is the documented pyright artifact: pi-lens runs it with 0 config files, and both import at runtime. |
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ZacharyZhang-NY
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0ee99e271d |
Ely-Eye — local multimodal context operating system on Qwen3.5-9B
Real-models implementation: multimodal ingestion, Context Cartridge memory, sparse + Qwen embedding retrieval, Cache Fabric, Qwen runtime adapters, verifier contracts, Visual HashHop proofs, BF16 LoRA fine-tuning, and a local dashboard. Verified by a 15-check PRD proof suite on the live model. |