Fix auto-memory vector dedup across tenants

Ensure vector dedup only suppresses a memory when the matched JSON memory belongs to the same owner or is legacy unowned.

Cross-owner vector hits now fall through to the existing owner-scoped text/fuzzy dedup path, preventing one user's memory from blocking another user's similar fact.

Fixes #2114.
This commit is contained in:
Nicholai
2026-06-04 20:26:02 -06:00
committed by GitHub
3 changed files with 150 additions and 14 deletions

View File

@@ -345,8 +345,17 @@ async def extract_and_store(
logger.warning(f"Memory dedup (vector) unavailable, using text fallback: {e}")
existing_id = None
if existing_id:
logger.debug(f"Memory dedup (vector): '{fact_text[:50]}' matches {existing_id}")
continue
# The vector store is a single shared collection with no
# owner metadata, so find_similar can return ANOTHER
# tenant's memory. Only treat it as a duplicate when the
# match is this user's own (or a legacy unowned) memory —
# otherwise the user's freshly-extracted fact would be
# silently dropped. Mirror the owner predicate used by the
# text dedup below; cross-tenant/stale matches fall through.
_match = next((e for e in existing if e.get("id") == existing_id), None)
if _match is not None and (_match.get("owner") == _owner or _match.get("owner") is None):
logger.debug(f"Memory dedup (vector): '{fact_text[:50]}' matches {existing_id}")
continue
# Text dedup fallback: exact match + fuzzy similarity
user_existing = [e for e in existing if e.get("owner") == _owner or e.get("owner") is None] if _owner else existing

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@@ -0,0 +1,115 @@
"""Regression: auto-memory vector dedup must not drop a user's fact because it
matches ANOTHER tenant's memory.
`extract_and_store` dedups each extracted fact against the vector store first.
The vector store (`memory_vector`) is a single shared ChromaDB collection with
no owner in its metadata, so `find_similar` can return a memory_id belonging to
a different user. The old code `continue`d (skipped storing) on any vector hit
without checking ownership, so user B's freshly-extracted fact was silently
dropped when it was merely semantically similar to user A's memory. The text
dedup fallback right below is already owner-scoped; the vector path must be too.
"""
import asyncio
import importlib.util
import sys
import types
from pathlib import Path
import pytest
ROOT = Path(__file__).resolve().parents[1]
def _load_extractor():
# Load services/memory/memory_extractor.py directly by path so we don't
# trigger services/__init__ (which imports the search stack and its heavy
# optional deps). The module's only module-level imports are stdlib; its
# src.llm_core / src.event_bus imports are lazy and stubbed/guarded.
path = ROOT / "services" / "memory" / "memory_extractor.py"
spec = importlib.util.spec_from_file_location("memory_extractor_under_test", path)
mod = importlib.util.module_from_spec(spec)
spec.loader.exec_module(mod)
return mod
def _install_llm_stub(monkeypatch, facts_json):
mod = types.ModuleType("src.llm_core")
async def llm_call_async(*a, **k):
return facts_json
mod.llm_call_async = llm_call_async
# Use monkeypatch.setitem so sys.modules is restored at teardown. A raw
# assignment here permanently replaced the real src.llm_core with this
# stripped stub, leaking "My home is in Lisbon" (and hiding _detect_provider)
# into every later-collected test that imports the real module.
src_pkg = sys.modules.get("src") or types.ModuleType("src")
monkeypatch.setitem(sys.modules, "src", src_pkg)
monkeypatch.setitem(sys.modules, "src.llm_core", mod)
class FakeSession:
def __init__(self, owner):
self.owner = owner
def get_context_messages(self):
return [
{"role": "user", "content": "Tell me where I live."},
{"role": "assistant", "content": "Noted."},
]
class FakeMemoryManager:
def __init__(self, rows):
self.rows = list(rows)
self._n = 0
def load_all(self):
return list(self.rows)
def load(self, owner=None):
return [r for r in self.rows if r.get("owner") == owner]
def find_duplicates(self, text, subset):
t = text.strip().lower()
return [r for r in subset if r.get("text", "").strip().lower() == t]
def add_entry(self, text, source="auto", category="fact", owner=None):
self._n += 1
entry = {"id": f"new-{self._n}", "text": text, "owner": owner,
"source": source, "category": category}
self.rows.append(entry)
return entry
class FakeVector:
"""Healthy vector store whose find_similar always matches user A's memory."""
def __init__(self, match_id):
self.healthy = True
self._match_id = match_id
def find_similar(self, text, threshold=0.92):
return self._match_id
def test_vector_match_from_other_tenant_does_not_drop_users_fact(monkeypatch):
# User A already owns a semantically-similar memory.
mm = FakeMemoryManager([
{"id": "a1", "text": "I live in Lisbon", "owner": "userA"},
])
# The vector store reports user B's new fact as a near-duplicate of a1.
vec = FakeVector(match_id="a1")
_install_llm_stub(monkeypatch, '["My home is in Lisbon"]')
memory_extractor = _load_extractor()
asyncio.run(memory_extractor.extract_and_store(
FakeSession(owner="userB"), mm, vec,
endpoint_url="http://x", model="m",
))
b_texts = {r["text"] for r in mm.load(owner="userB")}
assert "My home is in Lisbon" in b_texts, (
"User B's own extracted fact was dropped because the shared vector "
"store matched user A's memory (cross-tenant dedup)."
)

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@@ -86,8 +86,12 @@ def test_extraction_persists_facts_when_vector_store_fails_at_runtime(monkeypatc
def test_healthy_vector_store_still_dedups_normally(monkeypatch):
"""Control: when find_similar reports a match, that fact is skipped — the
try/except added around it must not swallow a legitimate dedup hit."""
"""Control: a vector hit on the user's OWN memory is honored (deduped) and
add is not called. The vector store is a shared collection with no owner
metadata, so a hit is only treated as a duplicate when the matched id
resolves to this user's own (or legacy unowned) memory — otherwise the
fact would be a cross-tenant false drop. Here the match is alice's own
memory, so the dedup must still fire."""
async def _fake_llm(url, model, messages, **kwargs):
return '[{"text": "Alice lives in Lisbon", "category": "fact"}]'
@@ -95,19 +99,27 @@ def test_healthy_vector_store_still_dedups_normally(monkeypatch):
monkeypatch.setattr(src.llm_core, "llm_call_async", _fake_llm)
monkeypatch.setattr(src.event_bus, "fire_event", lambda *a, **k: None)
class _DedupVectorStore:
healthy = True
def find_similar(self, text, threshold=0.72):
return "existing-id" # claim it already exists
def add(self, memory_id, text): # pragma: no cover - should not run
raise AssertionError("add should not be called for a deduped fact")
with tempfile.TemporaryDirectory() as data_dir:
mgr = MemoryManager(data_dir)
# Seed alice's own memory (persisted so load_all sees it) and point
# find_similar at its real id.
seeded = mgr.add_entry("Alice's home city is Lisbon", source="auto",
category="fact", owner="alice")
mgr.save([seeded])
class _DedupVectorStore:
healthy = True
def find_similar(self, text, threshold=0.72):
return seeded["id"] # matches alice's own seeded memory
def add(self, memory_id, text): # pragma: no cover - should not run
raise AssertionError("add should not be called for a deduped fact")
_run(extract_and_store(
_FakeSession(), mgr, _DedupVectorStore(),
endpoint_url="http://x", model="m", headers=None,
))
assert mgr.load(owner="alice") == []
# The new fact was deduped against alice's own memory, so only the
# seeded entry remains (no duplicate added).
assert [e["text"] for e in mgr.load(owner="alice")] == ["Alice's home city is Lisbon"]