fix(recall): cap default limit to 30 + relevance-bound OR-broadening
memory_recall was returning almost the entire store instead of a small
set of relevant matches. Two compounding causes, both fixed here:
1. Default limit was 10000 (commit d03a77a "effectively unlimited").
recall_memories/MemoryRecall and the memory_recall MCP tool now
default to 30 (ceiling stays 10000 for callers that opt in).
2. The OR-broadening fallback (fires when the precise AND-match is
sparse) ordered by the importance hybrid and padded up to `limit`,
so with limit=10000 it flooded results with high-importance but
irrelevant memories. It now orders OR-matches by ts_rank(relevance)
DESC and applies a minimum-rank floor (OR_BROADEN_MIN_RANK=0.01) to
drop rows that merely contain a query word incidentally.
Tests: add test_recall_default_limit_is_capped (asserts 30 passed to
fetch) and test_recall_or_broadening_is_relevance_bounded (asserts the
OR query is relevance-ordered + rank-floored). Full suite 176 green,
ruff + mypy clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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3 changed files with 64 additions and 4 deletions
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@ -162,6 +162,56 @@ async def test_recall_returns_all_memories(client):
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assert results[0]["owner"] == "testuser"
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@pytest.mark.asyncio
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async def test_recall_default_limit_is_capped(client):
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"""Default recall limit must be a small top-N (30), not the whole store.
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Regression for the 'recall returns the entire ~1460-memory store' bug:
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the default was 10000, so a default call returned everything.
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"""
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ac, conn, app_mod = client
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conn.fetch.return_value = [_make_memory_row(id=1)]
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async with ac:
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resp = await ac.post(
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"/api/memories/recall",
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json={"context": "singleword"}, # 1 word -> no OR-broadening
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headers={"Authorization": "Bearer test-key"},
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)
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assert resp.status_code == 200
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# fetch(sql, user_id, query_text, limit[, category]) -> limit is the 4th arg
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first_args = conn.fetch.call_args_list[0].args
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assert first_args[3] == 30, f"default recall limit should be 30, got {first_args[3]}"
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@pytest.mark.asyncio
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async def test_recall_or_broadening_is_relevance_bounded(client):
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"""When the precise AND-match is sparse, the OR-broadening fallback must
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order by relevance (ts_rank) and apply a minimum-rank floor — not pad up to
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`limit` ordered by the importance hybrid (which floods with high-importance
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but irrelevant memories).
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"""
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ac, conn, app_mod = client
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conn.fetch.side_effect = [
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[_make_memory_row(id=1)], # AND-match: 1 row (< limit -> triggers OR)
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[_make_memory_row(id=2)], # OR-broadening result
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]
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async with ac:
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resp = await ac.post(
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"/api/memories/recall",
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json={"context": "two words"}, # >1 word -> OR-broadening fires
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headers={"Authorization": "Bearer test-key"},
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)
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assert resp.status_code == 200
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assert len(conn.fetch.call_args_list) == 2, "OR-broadening query should fire"
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or_sql = conn.fetch.call_args_list[1].args[0]
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assert "ts_rank(search_vector, query) DESC" in or_sql, "OR matches must be ordered by relevance"
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assert "ts_rank(search_vector, query) >" in or_sql, "OR matches must have a minimum-rank floor"
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@pytest.mark.asyncio
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async def test_recall_redacts_sensitive_memories(client):
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ac, conn, app_mod = client
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