Files
gbrain/test/e2e
e1919fab9f reland: fix(embed): stamp gateway-resolved model in content_chunks.model, not compiled default (#2846) (#3343)
* fix(embed): stamp gateway-resolved model in content_chunks.model, not compiled default (#2846)

upsertChunks fell back to the compile-time DEFAULT_EMBEDDING_MODEL
('zeroentropyai:zembed-1') when a ChunkInput carried no explicit `model`.
The embed pipeline (src/commands/embed.ts) builds ChunkInputs without a
`model` field, so rows whose vectors were produced by the config-resolved
model (e.g. openai:text-embedding-3-large) were mislabeled with the
hardcoded default — corrupting the provenance that signature-drift
staleness and dimension-migration logic depend on.

Both engines now resolve the gateway's runtime embedding model once per
upsert and use it as the fallback, mirroring the existing resolve-then-
default pattern used for schema sizing. Regression test added (pglite);
verified via negative control that it fails against the old fallback.

This is a write-path change (upsertChunks), not a search-path change, so
retrieval eval replay is not applicable.

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>

* test: Lane A.7 pins gateway-resolved chunk model, not compiled default

#2846 changed upsertChunks' fallback from DEFAULT_EMBEDDING_MODEL to the
gateway-resolved runtime model. Lane A.7 still pinned the old fallback,
and the test preload (test/helpers/legacy-embedding-preload.ts) pins the
gateway to openai:text-embedding-3-large for every test process — so the
original #2846 landing failed this test deterministically and got batch-
reverted. The test now asserts the resolved model (the intended #2846
semantics) while keeping the CDX2-4 bare-literal regression guard.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: SailorJoe6 <SailorJoe6@Gmail.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Garry Tan <garrytan@gmail.com>
2026-07-23 18:48:22 -07:00
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