fix: address review feedback for the Minimax LLM provider

tests/llms/test_minimax.py

@@ -20,11 +20,11 @@ def mock_minimax_client():
 def test_minimax_llm_default_base_url():
     """Default config uses MiniMax official base URL."""
     config = BaseLlmConfig(
-        model="MiniMax-M2.1", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key"
+        model="MiniMax-M2.7", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key"
     )
     llm = MiniMaxLLM(config)
     # OpenAI client may normalize URL with trailing slash
-    assert str(llm.client.base_url).rstrip("/") == "https://api.minimaxi.io/v1"
+    assert str(llm.client.base_url).rstrip("/") == "https://api.minimax.io/v1"
 
 
 def test_minimax_llm_env_base_url():
@@ -33,7 +33,7 @@ def test_minimax_llm_env_base_url():
     os.environ["MINIMAX_API_BASE"] = provider_base_url
     try:
         config = MinimaxConfig(
-            model="MiniMax-M2.1",
+            model="MiniMax-M2.7",
             temperature=0.7,
             max_tokens=100,
             top_p=1.0,
@@ -49,7 +49,7 @@ def test_minimax_llm_config_base_url():
     """Config uses minimax_base_url when provided."""
     config_base_url = "https://api.config.com/v1/"
     config = MinimaxConfig(
-        model="MiniMax-M2.1",
+        model="MiniMax-M2.7",
         temperature=0.7,
         max_tokens=100,
         top_p=1.0,
@@ -61,10 +61,10 @@ def test_minimax_llm_config_base_url():
 
 
 def test_minimax_llm_default_model(mock_minimax_client):
-    """Default model is MiniMax-M2.1 when not specified."""
+    """Default model is MiniMax-M2.7 when not specified."""
     config = MinimaxConfig(temperature=0.7, max_tokens=100, api_key="api_key")
     llm = MiniMaxLLM(config)
-    assert llm.config.model == "MiniMax-M2.1"
+    assert llm.config.model == "MiniMax-M2.7"
 
 
 def test_minimax_llm_env_api_key():
@@ -74,11 +74,11 @@ def test_minimax_llm_env_api_key():
         with patch("mem0.llms.minimax.OpenAI") as mock_openai:
             mock_client = Mock()
             mock_openai.return_value = mock_client
-            config = MinimaxConfig(model="MiniMax-M2.1", api_key=None)
+            config = MinimaxConfig(model="MiniMax-M2.7", api_key=None)
             MiniMaxLLM(config)
             mock_openai.assert_called_once_with(
                 api_key="env-api-key",
-                base_url="https://api.minimaxi.io/v1",
+                base_url="https://api.minimax.io/v1",
             )
     finally:
         os.environ.pop("MINIMAX_API_KEY", None)
@@ -87,7 +87,7 @@ def test_minimax_llm_env_api_key():
 def test_generate_response_without_tools(mock_minimax_client):
     """generate_response returns text when no tools provided."""
     config = BaseLlmConfig(
-        model="MiniMax-M2.1", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key"
+        model="MiniMax-M2.7", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key"
     )
     llm = MiniMaxLLM(config)
     messages = [
@@ -102,7 +102,7 @@ def test_generate_response_without_tools(mock_minimax_client):
     response = llm.generate_response(messages)
 
     mock_minimax_client.chat.completions.create.assert_called_once_with(
-        model="MiniMax-M2.1", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0
+        model="MiniMax-M2.7", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0
     )
     assert response == "I'm doing well, thank you for asking!"
 
@@ -110,7 +110,7 @@ def test_generate_response_without_tools(mock_minimax_client):
 def test_generate_response_with_tools(mock_minimax_client):
     """generate_response returns tool_calls when tools provided."""
     config = BaseLlmConfig(
-        model="MiniMax-M2.1", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key"
+        model="MiniMax-M2.7", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key"
     )
     llm = MiniMaxLLM(config)
     messages = [
@@ -147,7 +147,7 @@ def test_generate_response_with_tools(mock_minimax_client):
     response = llm.generate_response(messages, tools=tools)
 
     mock_minimax_client.chat.completions.create.assert_called_once_with(
-        model="MiniMax-M2.1",
+        model="MiniMax-M2.7",
         messages=messages,
         temperature=0.7,
         max_tokens=100,
@@ -162,8 +162,33 @@ def test_generate_response_with_tools(mock_minimax_client):
     assert response["tool_calls"][0]["arguments"] == {"data": "Today is a sunny day."}
 
 
+def test_generate_response_with_response_format(mock_minimax_client):
+    """generate_response passes response_format to the API."""
+    config = BaseLlmConfig(
+        model="MiniMax-M2.7", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key"
+    )
+    llm = MiniMaxLLM(config)
+    messages = [{"role": "user", "content": "Return JSON."}]
+    response_format = {"type": "json_object"}
+
+    mock_response = Mock()
+    mock_response.choices = [Mock(message=Mock(content='{"key": "value"}'))]
+    mock_minimax_client.chat.completions.create.return_value = mock_response
+
+    llm.generate_response(messages, response_format=response_format)
+
+    mock_minimax_client.chat.completions.create.assert_called_once_with(
+        model="MiniMax-M2.7",
+        messages=messages,
+        temperature=0.7,
+        max_tokens=100,
+        top_p=1.0,
+        response_format={"type": "json_object"},
+    )
+
+
 def test_factory_creates_minimax_llm(mock_minimax_client):
     """LlmFactory.create returns MiniMaxLLM for provider 'minimax'."""
-    llm = LlmFactory.create("minimax", {"model": "MiniMax-M2.1", "api_key": "test-key"})
+    llm = LlmFactory.create("minimax", {"model": "MiniMax-M2.7", "api_key": "test-key"})
     assert isinstance(llm, MiniMaxLLM)
-    assert llm.config.model == "MiniMax-M2.1"
+    assert llm.config.model == "MiniMax-M2.7"