fix(python): huggingface TEI auth, procedural-memory content handling, and proxy pip auto-install (#6947)
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+93
-2
@@ -1235,9 +1235,10 @@ class TestHybridSearchWarning:
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def test_warning_for_store_without_keyword_search(
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self, mock_vs_factory, mock_emb, mock_llm, mock_sqlite, _cap, caplog
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):
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from mem0.vector_stores.base import VectorStoreBase
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import logging
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from mem0.vector_stores.base import VectorStoreBase
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class StoreWithoutKeywordSearch(VectorStoreBase):
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def create_col(self, *a, **kw): pass
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def insert(self, *a, **kw): pass
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@@ -1271,9 +1272,10 @@ class TestHybridSearchWarning:
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def test_no_warning_for_store_with_keyword_search(
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self, mock_vs_factory, mock_emb, mock_llm, mock_sqlite, _cap, caplog
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):
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from mem0.vector_stores.base import VectorStoreBase
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import logging
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from mem0.vector_stores.base import VectorStoreBase
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class StoreWithKeywordSearch(VectorStoreBase):
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def keyword_search(self, query, top_k=5, filters=None):
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return []
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@@ -1574,3 +1576,92 @@ async def test_async_procedural_memory_default_path_without_langchain(mock_llm_f
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assert result["results"][0]["event"] == "ADD"
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memory.llm.generate_response.assert_called_once()
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@pytest.mark.asyncio
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@patch("mem0.memory.main.VectorStoreFactory")
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@patch("mem0.memory.main.EmbedderFactory")
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@patch("mem0.memory.main.LlmFactory")
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async def test_async_procedural_memory_langchain_list_content(mock_llm_factory, mock_emb, mock_vs):
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"""Regression #6150: a LangChain block list must be extracted, not dropped."""
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mock_vs.return_value = MagicMock()
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mock_emb.return_value = MagicMock()
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mock_emb.return_value.embed.return_value = [0.1] * 1536
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mock_llm_factory.return_value = MagicMock()
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from mem0.memory.main import AsyncMemory
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memory = AsyncMemory(MemoryConfig())
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memory.vector_store = MagicMock()
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memory.vector_store.insert = MagicMock()
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mock_langchain_llm = MagicMock()
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mock_response = MagicMock()
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mock_response.content = [{"type": "text", "text": "- deploy with the release script"}]
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mock_langchain_llm.invoke.return_value = mock_response
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await memory._create_procedural_memory(
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[{"role": "user", "content": "how do we deploy"}],
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metadata={"user_id": "test_user"},
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llm=mock_langchain_llm,
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)
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stored_data = memory.vector_store.insert.call_args[1]["payloads"][0]["data"]
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assert stored_data == "- deploy with the release script"
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@pytest.mark.asyncio
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@patch("mem0.memory.main.VectorStoreFactory")
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@patch("mem0.memory.main.EmbedderFactory")
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@patch("mem0.memory.main.LlmFactory")
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async def test_async_procedural_memory_empty_content_raises(mock_llm_factory, mock_emb, mock_vs):
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"""Regression #6150: a refusal (content=None) must raise, not store an empty memory."""
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mock_vs.return_value = MagicMock()
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mock_emb.return_value = MagicMock()
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mock_llm_factory.return_value = MagicMock()
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from mem0.memory.main import AsyncMemory
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memory = AsyncMemory(MemoryConfig())
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memory.vector_store = MagicMock()
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memory.vector_store.insert = MagicMock()
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mock_langchain_llm = MagicMock()
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mock_response = MagicMock()
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mock_response.content = None
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mock_langchain_llm.invoke.return_value = mock_response
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with pytest.raises(ValueError, match="no content for the procedural memory summary"):
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await memory._create_procedural_memory(
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[{"role": "user", "content": "how do we deploy"}],
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metadata={"user_id": "test_user"},
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llm=mock_langchain_llm,
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)
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memory.vector_store.insert.assert_not_called()
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@patch("mem0.utils.factory.EmbedderFactory.create")
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@patch("mem0.utils.factory.VectorStoreFactory.create")
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@patch("mem0.utils.factory.LlmFactory.create")
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@patch("mem0.memory.storage.SQLiteManager")
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def test_sync_procedural_memory_empty_content_raises(
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mock_sqlite, mock_llm_factory, mock_vector_factory, mock_embedder_factory
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):
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"""Regression #6150: the sync path must raise on empty LLM content too."""
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mock_embedder_factory.return_value = MagicMock()
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mock_vector_store = MagicMock()
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mock_vector_factory.return_value = mock_vector_store
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mock_llm_factory.return_value = MagicMock()
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mock_sqlite.return_value = MagicMock()
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memory = Memory(MemoryConfig())
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memory.llm.generate_response = Mock(return_value=None)
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with pytest.raises(ValueError, match="no content for the procedural memory summary"):
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memory._create_procedural_memory(
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[{"role": "user", "content": "how do we deploy"}],
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metadata={"user_id": "test_user"},
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)
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mock_vector_store.insert.assert_not_called()
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