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# pylint: disable=protected-access,unused-argument
"""Unit tests for Mem0Middleware.
The mem0 client itself is mocked β we only exercise the AgentScope hook
wiring (retrieve-before / write-after, system-prompt injection,
list_tools exposure) and the small adapter that translates between
AgentScope and mem0. The OSS ``Memory`` and Platform ``MemoryClient``
share the same call shape (``search(query, filters=..., top_k=...)``
and ``add(messages, user_id=..., agent_id=...)``) so one mock covers
both.
``protected-access`` is disabled because tests legitimately reach into
middleware internals (``mw._client``, ``mw._async_search``, ``mw._top_k``) to
inspect what the public API just did.
"""
from unittest.async_case import IsolatedAsyncioTestCase
from unittest.mock import AsyncMock, MagicMock
from typing import Any
from utils import MockModel
from agentscope.agent import Agent
from agentscope.event import (
ExternalExecutionResultEvent,
UserConfirmResultEvent,
)
from agentscope.message import HintBlock, Msg, TextBlock, UserMsg
from agentscope.middleware import Mem0Middleware
from agentscope.middleware._longterm_memory._mem0._utils import (
_extract_memory_texts,
_extract_query_text,
)
from agentscope.model import ChatResponse
from agentscope.tool import Toolkit
# ----------------------------------------------------------------------
# Test helpers
# ----------------------------------------------------------------------
class RecordingMockModel(MockModel):
"""MockModel that captures the ``messages`` of every _call_api call."""
def __init__(self, *args: Any, **kwargs: Any) -> None:
"""Initialize the recording mock model."""
super().__init__(*args, **kwargs)
self.calls: list[list[Msg]] = []
async def _call_api(
self,
*args: Any,
**kwargs: Any,
) -> Any:
"""Record messages before delegating to MockModel."""
messages = kwargs.get("messages")
if messages is None and len(args) >= 2:
messages = args[1]
self.calls.append(list(messages or []))
return await super()._call_api(*args, **kwargs)
@property
def last_call_messages(self) -> list[Msg]:
"""Return the most recent model-call messages."""
return self.calls[-1]
class _FakeAsyncMem0Client:
"""Stands in for any of mem0's four client variants.
All four expose compatible ``search(query, filters=..., top_k=...)``
and ``add(messages, user_id=..., agent_id=...)`` shapes, so a single
fake suffices.
"""
def __init__(self, search_return: Any = None) -> None:
"""Initialize the fake mem0 client."""
self.search_return = search_return or {"results": []}
self.search_calls: list[dict] = []
self.add_calls: list[dict] = []
async def search(self, query: str, **kwargs: Any) -> Any:
"""Record a mem0 search call and return the configured result."""
self.search_calls.append({"query": query, **kwargs})
return self.search_return
async def add(self, messages: list[dict], **kwargs: Any) -> None:
"""Record a mem0 add call."""
self.add_calls.append({"messages": messages, **kwargs})
def _single_response(text: str) -> ChatResponse:
"""Build a final single-text chat response."""
return ChatResponse(
content=[TextBlock(type="text", text=text)],
is_last=True,
)
def _all_tool_names(toolkit: Toolkit) -> list[str]:
"""Flatten every registered tool's name across every group."""
return [t.name for g in toolkit.tool_groups for t in g.tools]
def _find_tool(toolkit: Toolkit, name: str) -> Any:
"""Look a tool up by name across every group on the toolkit."""
for g in toolkit.tool_groups:
for t in g.tools:
if t.name == name:
return t
raise LookupError(f"tool {name!r} not found in any group")
def _find_group(toolkit: Toolkit, name: str) -> Any:
"""Look a tool group up by name on the toolkit."""
for g in toolkit.tool_groups:
if g.name == name:
return g
raise LookupError(f"tool group {name!r} not found")
def _chunk_text(chunk: Any) -> str:
"""Return the first text block from a tool chunk."""
return chunk.content[0].text
# ----------------------------------------------------------------------
# Unit tests for module-level helpers
# ----------------------------------------------------------------------
class TestExtractQueryText(IsolatedAsyncioTestCase):
"""Tests for extracting the query text from incoming inputs."""
def test_none_and_empty(self) -> None:
"""None and empty inputs should not produce a query."""
self.assertIsNone(_extract_query_text(None))
self.assertIsNone(_extract_query_text([]))
def test_single_user_msg(self) -> None:
"""A single user message should become its text content."""
msg = UserMsg("user", "hello world")
self.assertEqual(_extract_query_text(msg), "hello world")
def test_list_of_user_msgs_joined(self) -> None:
"""Multiple user messages should be joined by newlines."""
msgs = [UserMsg("user", "first"), UserMsg("user", "second")]
self.assertEqual(_extract_query_text(msgs), "first\nsecond")
def test_resumption_events_return_none(self) -> None:
"""HITL resumption events should not trigger memory IO."""
self.assertIsNone(
_extract_query_text(
UserConfirmResultEvent(
reply_id="reply",
confirm_results=[],
),
),
)
self.assertIsNone(
_extract_query_text(
ExternalExecutionResultEvent(
reply_id="reply",
execution_results=[],
),
),
)
class TestExtractMemoryTexts(IsolatedAsyncioTestCase):
"""Tests for normalizing mem0 search responses into text lists."""
def test_dict_with_results(self) -> None:
"""Dictionary responses with result dicts should be flattened."""
raw = {"results": [{"memory": "a"}, {"memory": "b"}]}
self.assertEqual(_extract_memory_texts(raw), ["a", "b"])
def test_plain_list_of_dicts(self) -> None:
"""Plain list responses should also be supported."""
self.assertEqual(
_extract_memory_texts([{"memory": "only"}]),
["only"],
)
def test_plain_list_of_strings(self) -> None:
"""String results should pass through unchanged."""
self.assertEqual(
_extract_memory_texts({"results": ["x", "y"]}),
["x", "y"],
)
def test_none_and_garbage(self) -> None:
"""Malformed mem0 outputs should normalize to an empty list."""
self.assertEqual(_extract_memory_texts(None), [])
self.assertEqual(_extract_memory_texts({"results": "nope"}), [])
# ----------------------------------------------------------------------
# Constructor validation
# ----------------------------------------------------------------------
class TestConstructorValidation(IsolatedAsyncioTestCase):
"""Tests for Mem0Middleware constructor validation."""
def test_missing_user_id_raises(self) -> None:
"""Empty user IDs should be rejected."""
with self.assertRaises(ValueError):
Mem0Middleware(client=MagicMock(), user_id="")
with self.assertRaises(ValueError):
Mem0Middleware(client=MagicMock(), user_id=" ")
def test_unknown_mode_raises(self) -> None:
"""Unknown control modes should be rejected."""
with self.assertRaises(ValueError):
Mem0Middleware(
client=MagicMock(),
user_id="alice",
mode="garbage", # type: ignore[arg-type]
)
def test_neither_client_nor_models_nor_config_raises(self) -> None:
"""At least one backend construction path should be provided."""
with self.assertRaises(ValueError) as ctx:
Mem0Middleware(user_id="alice")
self.assertIn("client", str(ctx.exception))
self.assertIn("mem0_config", str(ctx.exception))
self.assertIn("chat_model", str(ctx.exception))
def test_client_wins_over_other_backend_kwargs_with_warning(
self,
) -> None:
"""``client`` is the escape hatch β when given, the other
backend kwargs are ignored. A warning is logged so the
mismatch is not invisible."""
fake_client = _FakeAsyncMem0Client()
with self.assertLogs(
"as", # the project-wide logger name
level="WARNING",
) as captured:
mw = Mem0Middleware(
user_id="alice",
client=fake_client,
chat_model=MagicMock(), # ignored
embedding_model=MagicMock(), # ignored
mem0_config=MagicMock(), # ignored
)
# The fake client wired through unchanged β no AgentScope-
# adapter construction machinery ran.
self.assertIs(mw._client, fake_client)
# Warning mentions all three ignored kwargs.
joined = "\n".join(captured.output)
self.assertIn("chat_model", joined)
self.assertIn("embedding_model", joined)
self.assertIn("mem0_config", joined)
def test_client_alone_does_not_warn(self) -> None:
"""Sanity: pure client-only path stays quiet."""
fake_client = _FakeAsyncMem0Client()
with self.assertNoLogs("as", level="WARNING"):
Mem0Middleware(user_id="alice", client=fake_client)
def test_only_one_of_chat_or_embedding_without_config_raises(
self,
) -> None:
"""Models-only construction requires both chat and embedding."""
with self.assertRaises(ValueError):
Mem0Middleware(user_id="alice", chat_model=MagicMock())
with self.assertRaises(ValueError):
Mem0Middleware(user_id="alice", embedding_model=MagicMock())
# ----------------------------------------------------------------------
# Static-control mode (default)
# ----------------------------------------------------------------------
class TestStaticControlMode(IsolatedAsyncioTestCase):
"""Default mode: retrieve-before / inject / write-after, no tools."""
async def asyncSetUp(self) -> None:
"""Create a fresh recording model and empty toolkit."""
self.model = RecordingMockModel(context_size=100_000)
self.toolkit = Toolkit()
def _agent(
self,
middleware: Mem0Middleware,
response_text: str = "ok",
) -> Agent:
"""Build a test agent using ``middleware`` and one response."""
self.model.set_responses([_single_response(response_text)])
return Agent(
name="agent_under_test",
system_prompt="base system prompt",
model=self.model,
toolkit=self.toolkit,
middlewares=[middleware],
)
async def test_retrieve_inject_write(self) -> None:
"""Static control should search, inject, reply, then write."""
fake = _FakeAsyncMem0Client(
search_return={"results": [{"memory": "alice loves coffee"}]},
)
mw = Mem0Middleware(
client=fake,
user_id="alice",
agent_id="agent_under_test",
mode="static_control",
)
agent = self._agent(mw, response_text="hi alice")
reply = await agent.reply(UserMsg("user", "remind me what I like"))
# 1. search called with unified call shape (filters dict, top_k)
self.assertEqual(len(fake.search_calls), 1)
self.assertEqual(
fake.search_calls[0]["query"],
"remind me what I like",
)
self.assertEqual(
fake.search_calls[0]["filters"],
{"user_id": "alice", "agent_id": "agent_under_test"},
)
self.assertEqual(fake.search_calls[0]["top_k"], 5)
# 2. write called post-turn with user+assistant pair
self.assertEqual(len(fake.add_calls), 1)
self.assertEqual(
fake.add_calls[0]["messages"],
[
{"role": "user", "content": "remind me what I like"},
{"role": "assistant", "content": "hi alice"},
],
)
self.assertEqual(fake.add_calls[0]["user_id"], "alice")
self.assertEqual(fake.add_calls[0]["agent_id"], "agent_under_test")
# 3. system prompt is unchanged β static_control mode does NOT
# add tool instructions (those only fire in agent_control /
# both modes via on_system_prompt).
sys_msg = self.model.last_call_messages[0]
self.assertEqual(sys_msg.role, "system")
self.assertEqual(sys_msg.get_text_content(), "base system prompt")
# 4. memory appended to the agent's persistent context as an
# assistant-role hint note named "memory". Formatters convert
# HintBlock content into a user message before provider calls.
memory_msgs = []
for msg in agent.state.context:
if getattr(msg, "name", None) == "memory":
memory_msgs.append(msg)
self.assertEqual(len(memory_msgs), 1)
self.assertEqual(memory_msgs[0].role, "assistant")
memory_hints = memory_msgs[0].get_content_blocks("hint")
self.assertEqual(len(memory_hints), 1)
self.assertIsInstance(memory_hints[0], HintBlock)
memory_text = memory_hints[0].hint
self.assertIn("Relevant memories", memory_text)
self.assertIn("alice loves coffee", memory_text)
# The model saw it on its first call as well.
delivered = [
m
for m in self.model.last_call_messages
if getattr(m, "name", None) == "memory"
]
self.assertEqual(len(delivered), 1)
# 5. no agent-control tools registered (in any group)
all_names = _all_tool_names(self.toolkit)
self.assertNotIn("search_memory", all_names)
self.assertNotIn("add_memory", all_names)
self.assertEqual(reply.get_text_content(), "hi alice")
async def test_memory_message_lands_after_user_message(self) -> None:
"""Mirroring AgentScope 1.x's ReActAgent placement: the memory
note is inserted right AFTER the new user input lands in the
agent context, not before."""
fake = _FakeAsyncMem0Client(
search_return={"results": [{"memory": "saved fact"}]},
)
mw = Mem0Middleware(
client=fake,
user_id="alice",
mode="static_control",
)
agent = self._agent(mw, response_text="answer")
await agent.reply(UserMsg("user", "tell me what you know"))
# context order should be: [...prior history..., USER_MSG,
# MEMORY_NOTE, ASSISTANT_REPLY (added by the agent loop)]
roles_and_names = [
(m.role, getattr(m, "name", None)) for m in agent.state.context
]
user_idx = next(
i
for i, (r, n) in enumerate(roles_and_names)
if r == "user" and n != "memory"
)
memory_idx = next(
i for i, (_, n) in enumerate(roles_and_names) if n == "memory"
)
self.assertGreater(
memory_idx,
user_idx,
f"memory note at {memory_idx} should come after user msg "
f"at {user_idx}: {roles_and_names}",
)
async def test_no_memories_no_injection(self) -> None:
"""Empty search results should not add a memory hint message."""
fake = _FakeAsyncMem0Client(search_return={"results": []})
mw = Mem0Middleware(
client=fake,
user_id="alice",
mode="static_control",
)
agent = self._agent(mw)
await agent.reply(UserMsg("user", "hi"))
# System prompt unchanged, no synthetic memory msg present.
msgs = self.model.last_call_messages
self.assertEqual(msgs[0].get_text_content(), "base system prompt")
for m in msgs:
self.assertNotEqual(getattr(m, "name", None), "memory")
self.assertEqual(len(fake.search_calls), 1)
async def test_search_failure_does_not_break_reply(self) -> None:
"""Search errors should be logged but not block the reply."""
fake = _FakeAsyncMem0Client()
fake.search = AsyncMock(side_effect=RuntimeError("mem0 down"))
mw = Mem0Middleware(
client=fake,
user_id="alice",
mode="static_control",
)
agent = self._agent(mw, response_text="still works")
reply = await agent.reply(UserMsg("user", "ping"))
self.assertEqual(reply.get_text_content(), "still works")
# Write still happened β a failed search must not block writes.
self.assertEqual(len(fake.add_calls), 1)
async def test_scope_search_by_agent_false_drops_agent_id(
self,
) -> None:
"""Unscoped search should omit agent_id from mem0 filters."""
fake = _FakeAsyncMem0Client()
mw = Mem0Middleware(
client=fake,
user_id="alice",
agent_id="agent_under_test",
mode="static_control",
scope_search_by_agent=False,
)
agent = self._agent(mw)
await agent.reply(UserMsg("user", "hi"))
self.assertNotIn("agent_id", fake.search_calls[0]["filters"])
# Write still tags both for future scoped queries.
self.assertEqual(fake.add_calls[0]["agent_id"], "agent_under_test")
async def test_sync_client_rejected(self) -> None:
"""Sync mem0 clients (``Memory`` / ``MemoryClient``) must be
rejected at construction time β only async clients are
supported."""
class SyncFake:
"""Fake sync mem0 client used to verify rejection."""
def search(self, query: str, **kwargs: Any) -> Any:
"""Return an empty synchronous search result."""
return {"results": []}
def add(self, messages: list, **kwargs: Any) -> None:
"""No-op synchronous add method."""
return None
with self.assertRaises(TypeError) as ctx:
Mem0Middleware(client=SyncFake(), user_id="alice")
self.assertIn("AsyncMemory", str(ctx.exception))
async def test_async_method_wrapped_by_sync_decorator_accepted(
self,
) -> None:
"""mem0's hosted ``AsyncMemoryClient`` decorates its async
methods with ``@api_error_handler`` β a sync wrapper that
returns the coroutine produced by calling the underlying
``async def func``. ``inspect.iscoroutinefunction(wrapper)``
is False, so the naive check would reject the client; we use
``inspect.unwrap`` to peel through ``@functools.wraps`` and
find the real async function. This test simulates that
pattern and asserts the wrapped-but-async client is accepted.
"""
from functools import wraps
def sync_wraps_async(func: Any) -> Any:
"""Wrap an async function in a sync functools wrapper."""
@wraps(func)
def wrapper(*args: Any, **kwargs: Any) -> Any:
"""Return the coroutine created by the wrapped function."""
return func(*args, **kwargs)
return wrapper
class WrappedFake:
"""Fake client whose async methods are sync-wrapped."""
@sync_wraps_async
async def search(self, query: str, **kwargs: Any) -> Any:
"""Return an empty async search result."""
return {"results": []}
@sync_wraps_async
async def add(self, messages: list, **kwargs: Any) -> None:
"""No-op async add method."""
return None
# Should NOT raise β the unwrap+iscoroutinefunction check sees
# through the sync wrapper.
mw = Mem0Middleware(client=WrappedFake(), user_id="alice")
self.assertIsInstance(mw._client, WrappedFake)
# ----------------------------------------------------------------------
# Agent-control mode
# ----------------------------------------------------------------------
class TestAgentControlMode(IsolatedAsyncioTestCase):
"""Tools are listed, but no automatic memory hook behavior."""
async def asyncSetUp(self) -> None:
"""Create a fresh recording model and empty toolkit."""
self.model = RecordingMockModel(context_size=100_000)
self.toolkit = Toolkit()
async def _agent(
self,
middleware: Mem0Middleware,
*,
name: str = "a",
system_prompt: str = "p",
responses: list[str] | None = None,
) -> Agent:
"""Build an agent with tools explicitly listed by middleware."""
self.model.set_responses(
[_single_response(r) for r in (responses or ["ok"])],
)
self.toolkit = Toolkit(tools=await middleware.list_tools())
return Agent(
name=name,
system_prompt=system_prompt,
model=self.model,
toolkit=self.toolkit,
middlewares=[middleware],
)
async def test_tools_listed_and_hint_in_prompt(self) -> None:
"""Agent-control mode should expose tools and prompt guidance."""
fake = _FakeAsyncMem0Client(
search_return={"results": [{"memory": "found"}]},
)
mw = Mem0Middleware(
client=fake,
user_id="alice",
mode="agent_control",
)
agent = await self._agent(
mw,
system_prompt="base prompt",
)
await agent.reply(UserMsg("user", "hello"))
# Tools are listed by the middleware and explicitly passed into
# the toolkit by the caller.
basic = _find_group(self.toolkit, "basic")
names = [t.name for t in basic.tools]
self.assertIn("search_memory", names)
self.assertIn("add_memory", names)
# No automatic search/add ran.
self.assertEqual(fake.search_calls, [])
self.assertEqual(fake.add_calls, [])
# System prompt got a short nudge mentioning the tools β the
# per-tool guidance comes via the standard tool schema, not
# this nudge.
msgs = self.model.last_call_messages
prompt_text = msgs[0].get_text_content()
self.assertIn("base prompt", prompt_text)
self.assertIn("Long-term memory", prompt_text)
self.assertIn("search_memory", prompt_text)
self.assertIn("add_memory", prompt_text)
# No synthetic memory message was injected in agent_control mode.
for m in msgs:
self.assertNotEqual(getattr(m, "name", None), "memory")
async def test_middleware_does_not_mutate_toolkit(self) -> None:
"""Middleware should not register tools unless caller does so."""
fake = _FakeAsyncMem0Client()
mw = Mem0Middleware(
client=fake,
user_id="alice",
mode="agent_control",
)
self.model.set_responses([_single_response("ok")])
toolkit = Toolkit()
agent = Agent(
name="a",
system_prompt="base prompt",
model=self.model,
toolkit=toolkit,
middlewares=[mw],
)
await agent.reply(UserMsg("user", "hello"))
self.assertNotIn("search_memory", _all_tool_names(toolkit))
self.assertNotIn("add_memory", _all_tool_names(toolkit))
async def test_search_memory_tool_invokes_mem0(self) -> None:
"""The search_memory tool should query mem0 per keyword."""
fake = _FakeAsyncMem0Client(
search_return={
"results": [
{"memory": "first fact"},
{"memory": "second fact"},
],
},
)
mw = Mem0Middleware(
client=fake,
user_id="alice",
agent_id="a",
mode="agent_control",
)
agent = await self._agent(
mw,
system_prompt="base prompt",
)
# Trigger middleware tool registration by issuing a reply.
await agent.reply(UserMsg("user", "hi"))
search_tool = _find_tool(self.toolkit, "search_memory")
# Exercise the tool directly. The signature mirrors
# AgentScope 1.x: a LIST of keywords, each issued as an
# independent parallel search.
result = await search_tool(
keywords=["what does alice like?", "alice preferences"],
limit=3,
)
result_text = _chunk_text(result)
self.assertIn("first fact", result_text)
self.assertIn("second fact", result_text)
# Each keyword produces one mem0 call; both share user/agent
# filter and per-keyword limit.
self.assertEqual(len(fake.search_calls), 2)
for call in fake.search_calls:
self.assertEqual(
call["filters"],
{"user_id": "alice", "agent_id": "a"},
)
self.assertEqual(call["top_k"], 3)
async def test_async_search_accepts_per_call_top_k(self) -> None:
"""Per-call search limits should not mutate middleware state."""
fake = _FakeAsyncMem0Client()
mw = Mem0Middleware(
client=fake,
user_id="alice",
mode="agent_control",
top_k=9,
)
await mw._async_search(
"q",
user_id="alice",
agent_id="a",
top_k=3,
)
self.assertEqual(fake.search_calls[0]["top_k"], 3)
self.assertEqual(mw._top_k, 9)
async def test_tools_auto_allow_permission(self) -> None:
"""Memory tools should be auto-allowed by permission checks."""
mw = Mem0Middleware(
client=_FakeAsyncMem0Client(),
user_id="alice",
mode="agent_control",
)
agent = await self._agent(mw)
await agent.reply(UserMsg("user", "hi"))
from agentscope.permission import PermissionBehavior
search_tool = _find_tool(self.toolkit, "search_memory")
add_tool = _find_tool(self.toolkit, "add_memory")
decision_search = await search_tool.check_permissions({}, None)
decision_add = await add_tool.check_permissions({}, None)
self.assertEqual(decision_search.behavior, PermissionBehavior.ALLOW)
self.assertEqual(decision_add.behavior, PermissionBehavior.ALLOW)
async def test_search_memory_dedupes_across_keywords(self) -> None:
"""When two keywords return overlapping memories, the tool
merges and dedupes."""
fake = _FakeAsyncMem0Client(
search_return={
"results": [{"memory": "shared"}, {"memory": "unique"}],
},
)
mw = Mem0Middleware(client=fake, user_id="alice", mode="agent_control")
agent = await self._agent(mw)
await agent.reply(UserMsg("user", "hi"))
search_tool = _find_tool(self.toolkit, "search_memory")
result = await search_tool(
keywords=["kw1", "kw2"],
limit=5,
)
result_text = _chunk_text(result)
# "shared" appears once even though both keywords returned it.
self.assertEqual(result_text.count("shared"), 1)
self.assertEqual(result_text.count("unique"), 1)
async def test_search_memory_failure_returns_error_chunk(self) -> None:
"""mem0 raising during search produces a ToolChunk with
state=ERROR so the toolkit marks the call as failed."""
from agentscope.message import ToolResultState
from agentscope.tool import ToolChunk
fake = _FakeAsyncMem0Client()
fake.search = AsyncMock(side_effect=RuntimeError("mem0 down"))
mw = Mem0Middleware(client=fake, user_id="alice", mode="agent_control")
agent = await self._agent(mw)
await agent.reply(UserMsg("user", "hi"))
search_tool = _find_tool(self.toolkit, "search_memory")
result = await search_tool(
keywords=["q"],
limit=5,
)
self.assertIsInstance(result, ToolChunk)
self.assertEqual(result.state, ToolResultState.ERROR)
self.assertIn("mem0 down", result.content[0].text)
async def test_add_memory_two_tier_fallback(self) -> None:
"""When mem0's extraction LLM returns no memories, the tool
falls back to ``infer=False`` and saves raw text so the
caller's ``add_memory`` invocation isn't silently dropped.
Two tiers, not three β v1's tier-2 role switch (user β
assistant) was a no-op against current mem0 (v2.x), which
picks the extraction prompt based on the filter dict, not the
message role. See the docstring of
``Mem0Middleware._async_add_with_fallback`` for the full
rationale."""
class CountingFake:
"""Fake mem0 client that triggers add fallback once."""
def __init__(self) -> None:
"""Initialize call tracking and empty search behavior."""
self.add_calls: list[dict] = []
self.search = AsyncMock(return_value={"results": []})
async def add(
self,
messages: list[dict],
**kwargs: Any,
) -> dict:
"""Return empty extraction first, then a saved memory."""
self.add_calls.append({"messages": messages, **kwargs})
# First attempt: extracted nothing β triggers fallback.
# Second attempt (with infer=False): succeeds.
if len(self.add_calls) < 2:
return {"results": []}
return {"results": [{"id": "m1", "memory": "saved"}]}
fake = CountingFake()
mw = Mem0Middleware(client=fake, user_id="alice", mode="agent_control")
agent = await self._agent(mw)
await agent.reply(UserMsg("user", "hi"))
add_tool = _find_tool(self.toolkit, "add_memory")
result = await add_tool(
thinking="my reasoning",
content=["fact one"],
)
self.assertIn("Successfully recorded", _chunk_text(result))
# Exactly 2 calls β the role-switch tier from v1 is gone.
self.assertEqual(len(fake.add_calls), 2)
# Both calls use the user role (no more switching).
self.assertEqual(fake.add_calls[0]["messages"][0]["role"], "user")
self.assertEqual(fake.add_calls[1]["messages"][0]["role"], "user")
# First call uses default inference; second explicitly disables it.
self.assertNotIn("infer", fake.add_calls[0])
self.assertFalse(fake.add_calls[1]["infer"])
async def test_add_memory_does_not_persist_thinking(self) -> None:
"""``thinking`` is the agent's rationale β it appears in the
tool's return text (auditable in the transcript) but is NOT
sent to mem0, so the stored memory stays clean of agent
self-narration."""
fake = _FakeAsyncMem0Client()
# First attempt extracts something β no fallback.
fake.add = AsyncMock(
return_value={"results": [{"id": "m1", "memory": "saved"}]},
)
mw = Mem0Middleware(client=fake, user_id="alice", mode="agent_control")
agent = await self._agent(mw)
await agent.reply(UserMsg("user", "hi"))
add_tool = _find_tool(self.toolkit, "add_memory")
thinking = "user said X because Y"
fact = "likes coffee"
result = await add_tool(
thinking=thinking,
content=[fact],
)
result_text = _chunk_text(result)
# mem0 only saw the fact, NOT the rationale.
sent = fake.add.call_args.args[0][0]["content"]
self.assertIn(fact, sent)
self.assertNotIn(thinking, sent)
# ...but the tool return text DOES echo the rationale, so the
# decision is auditable in the agent transcript.
self.assertIn(thinking, result_text)
# ----------------------------------------------------------------------
# Both mode β hooks + tools together
# ----------------------------------------------------------------------
class TestBothMode(IsolatedAsyncioTestCase):
"""Tests for combined static-control and agent-control behavior."""
async def test_memory_msg_and_tool_hint_both_present(self) -> None:
"""Both mode should inject memory and expose memory tools."""
model = RecordingMockModel(context_size=100_000)
fake = _FakeAsyncMem0Client(
search_return={"results": [{"memory": "auto-injected"}]},
)
mw = Mem0Middleware(client=fake, user_id="alice", mode="both")
toolkit = Toolkit(tools=await mw.list_tools())
model.set_responses([_single_response("ok")])
agent = Agent(
name="a",
system_prompt="base",
model=model,
toolkit=toolkit,
middlewares=[mw],
)
await agent.reply(UserMsg("user", "hi"))
# Static hooks ran.
self.assertEqual(len(fake.search_calls), 1)
self.assertEqual(len(fake.add_calls), 1)
msgs = model.last_call_messages
# System prompt has the tool nudge (from on_system_prompt).
prompt_text = msgs[0].get_text_content()
self.assertIn("Long-term memory", prompt_text)
self.assertIn("search_memory", prompt_text)
# Memory injected as a synthetic HintBlock Msg.
memory_msgs = [m for m in msgs if getattr(m, "name", None) == "memory"]
self.assertEqual(len(memory_msgs), 1)
memory_hints = memory_msgs[0].get_content_blocks("hint")
self.assertEqual(len(memory_hints), 1)
self.assertIn("auto-injected", memory_hints[0].hint)
# Tools exposed.
names = _all_tool_names(toolkit)
self.assertIn("search_memory", names)
self.assertIn("add_memory", names)
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