fix(openai): make store opt-in so it stops leaking to non-OpenAI backends (#4757)

mem0/configs/llms/openai.py

@@ -29,7 +29,7 @@ class OpenAIConfig(BaseLlmConfig):
         openrouter_base_url: Optional[str] = None,
         site_url: Optional[str] = None,
         app_name: Optional[str] = None,
-        store: bool = False,
+        store: Optional[bool] = None,
         # Response monitoring callback
         response_callback: Optional[Callable[[Any, dict, dict], None]] = None,
     ):
@@ -53,6 +53,11 @@ class OpenAIConfig(BaseLlmConfig):
             openrouter_base_url: OpenRouter base URL, defaults to None
             site_url: Site URL for OpenRouter, defaults to None
             app_name: Application name for OpenRouter, defaults to None
+            store: Whether to store the conversation on OpenAI's server. Opt-in;
+                defaults to None (not sent). Set to True or False only if you
+                want the value forwarded to the OpenAI API. Leaving it None
+                avoids leaking the field into OpenAI-compatible backends that
+                reject unknown fields (Gemini, Groq, vLLM, etc.).
             response_callback: Optional callback for monitoring LLM responses.
         """
         # Initialize base parameters

mem0/llms/openai.py

@@ -126,11 +126,12 @@ class OpenAILLM(LLMBase):
             params.update(**openrouter_params)
         
         else:
-            openai_specific_generation_params = ["store"]
-            for param in openai_specific_generation_params:
-                if hasattr(self.config, param):
-                    params[param] = getattr(self.config, param)
-            
+            # Only send OpenAI-specific parameters when the user has explicitly
+            # configured them. OpenAI-compatible backends (Gemini, Groq, vLLM, etc.)
+            # reject unknown fields, so `store` must be opt-in, not opt-out.
+            if self.config.store is not None:
+                params["store"] = self.config.store
+
         if response_format:
             params["response_format"] = response_format
         if tools:  # TODO: Remove tools if no issues found with new memory addition logic

tests/llms/test_openai.py

@@ -55,7 +55,7 @@ def test_generate_response_without_tools(mock_openai_client):
     response = llm.generate_response(messages)
 
     mock_openai_client.chat.completions.create.assert_called_once_with(
-        model="gpt-4.1-nano-2025-04-14", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0, store=False
+        model="gpt-4.1-nano-2025-04-14", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0
     )
     assert response == "I'm doing well, thank you for asking!"
 
@@ -97,7 +97,7 @@ def test_generate_response_with_tools(mock_openai_client):
     response = llm.generate_response(messages, tools=tools)
 
     mock_openai_client.chat.completions.create.assert_called_once_with(
-        model="gpt-4.1-nano-2025-04-14", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0, tools=tools, tool_choice="auto", store=False
+        model="gpt-4.1-nano-2025-04-14", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0, tools=tools, tool_choice="auto"
     )
 
     assert response["content"] == "I've added the memory for you."
@@ -231,6 +231,60 @@ def test_reasoning_effort_config_values():
     assert config.reasoning_effort is None
 
 
+def test_store_not_sent_by_default(mock_openai_client):
+    """`store` must NOT be injected into requests when the user has not
+    explicitly configured it. Regression test for issue #4709, where
+    `store=False` was unconditionally sent and rejected by OpenAI-compatible
+    backends such as Google Gemini."""
+    config = OpenAIConfig(model="gpt-4.1-nano-2025-04-14", temperature=0.1)
+    assert config.store is None  # new opt-in default
+    llm = OpenAILLM(config)
+    messages = [{"role": "user", "content": "Hello"}]
+
+    mock_response = Mock()
+    mock_response.choices = [Mock(message=Mock(content="Response"))]
+    mock_openai_client.chat.completions.create.return_value = mock_response
+
+    llm.generate_response(messages)
+
+    call_kwargs = mock_openai_client.chat.completions.create.call_args.kwargs
+    assert "store" not in call_kwargs
+
+
+def test_store_sent_when_explicitly_true(mock_openai_client):
+    """When the user explicitly sets `store=True`, the field must be forwarded."""
+    config = OpenAIConfig(model="gpt-4.1-nano-2025-04-14", store=True)
+    llm = OpenAILLM(config)
+    messages = [{"role": "user", "content": "Hello"}]
+
+    mock_response = Mock()
+    mock_response.choices = [Mock(message=Mock(content="Response"))]
+    mock_openai_client.chat.completions.create.return_value = mock_response
+
+    llm.generate_response(messages)
+
+    call_kwargs = mock_openai_client.chat.completions.create.call_args.kwargs
+    assert call_kwargs["store"] is True
+
+
+def test_store_sent_when_explicitly_false(mock_openai_client):
+    """When the user explicitly sets `store=False`, the field must still be
+    forwarded — explicit opt-out is a valid configuration for users who rely on
+    it for OpenAI's zero-data-retention behavior."""
+    config = OpenAIConfig(model="gpt-4.1-nano-2025-04-14", store=False)
+    llm = OpenAILLM(config)
+    messages = [{"role": "user", "content": "Hello"}]
+
+    mock_response = Mock()
+    mock_response.choices = [Mock(message=Mock(content="Response"))]
+    mock_openai_client.chat.completions.create.return_value = mock_response
+
+    llm.generate_response(messages)
+
+    call_kwargs = mock_openai_client.chat.completions.create.call_args.kwargs
+    assert call_kwargs["store"] is False
+
+
 def test_callback_with_tools(mock_openai_client):
     mock_callback = Mock()
     config = OpenAIConfig(model="gpt-4.1-nano-2025-04-14", response_callback=mock_callback)