Drop the JSON vector column, and fix what was hiding behind it
Migration 38 left memories.embedding in place so a rollback could still find the vectors. Production has since been verified reading from embedding_blob, so migration 42 drops it: 4 MB of a 99.6 MB database holding nothing anyone reads. Removing it surfaced a live bug. Changing your embedding model is supposed to throw the bank's vectors away and let the post-turn pass rebuild them, because two models' vectors are not comparable. The settings route did that by nulling memories.embedding -- correct until 38 moved the vectors, after which it cleared the dead column and left the blob intact with `embedded` still true. _embed_pending filters on `embedded IS FALSE`, so it never saw those rows and the bank went on ranking against the old model's vectors permanently. Nothing would have reported it. cosine returns 0.0 on a width mismatch, so a different-width model scores every memory zero and retrieval returns whichever rows happen to sort first; a same-width model scores plausible garbage. The bulk clear now sets both columns. It stays a bulk UPDATE rather than going through set_vector -- loading the rows is the cost that whole path exists to avoid -- so set_vector's docstring now names it as the one caller that legitimately writes those columns by hand. No cache invalidation is added: clearing `embedded` drops the rows out of the catalogue query, and set_vector evicts each entry as the re-embed puts it back. test_embedding_blob.py now rebuilds the pre-38 schema by hand where it tests the backfill, since create_all no longer produces the column it converts from, and asserts 42 removes it at the end of a full bootstrap -- 38 reads that column and 42 drops it, so an upgrade that reordered them would arrive with an empty bank. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017Dvvqn9ZDR4ixeFPHNbww7
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Claude Opus 5
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@@ -144,6 +144,12 @@ MIGRATIONS: list[tuple[int, str | dict[str, str]]] = [
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# so anyone who picked a value keeps it — same rule as migration 29.
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# Adventures already over 80 evict down on their next turn.
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(41, "UPDATE settings SET memory_bank_capacity = 80 WHERE memory_bank_capacity = 200"),
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# The JSON vectors, gone. Migration 38 left them in place so a rollback
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# could still find them; production has since been verified reading from
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# embedding_blob (schema_version 41, 134/134 backfilled), so the column is
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# now 4 MB of a 99.6 MB database holding nothing anyone reads. DROP COLUMN
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# is spelled the same on both dialects — SQLite has had it since 3.35.
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(42, "ALTER TABLE memories DROP COLUMN embedding"),
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]
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LATEST_VERSION = max((v for v, _ in MIGRATIONS), default=1)
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