Add TogetherAI support (#1485)

tests/llms/test_openai.py

@@ -3,14 +3,14 @@ from unittest.mock import Mock, patch
 from mem0.llms.openai import OpenAILLM
 
 @pytest.fixture
-def mock_groq_client():
-    with patch('mem0.llms.openai.OpenAI') as mock_groq:
+def mock_openai_client():
+    with patch('mem0.llms.openai.OpenAI') as mock_openai:
         mock_client = Mock()
-        mock_groq.return_value = mock_client
+        mock_openai.return_value = mock_client
         yield mock_client
 
 
-def test_generate_response_without_tools(mock_groq_client):
+def test_generate_response_without_tools(mock_openai_client):
     llm = OpenAILLM()
     messages = [
         {"role": "system", "content": "You are a helpful assistant."},
@@ -19,18 +19,18 @@ def test_generate_response_without_tools(mock_groq_client):
     
     mock_response = Mock()
     mock_response.choices = [Mock(message=Mock(content="I'm doing well, thank you for asking!"))]
-    mock_groq_client.chat.completions.create.return_value = mock_response
+    mock_openai_client.chat.completions.create.return_value = mock_response
 
     response = llm.generate_response(messages)
 
-    mock_groq_client.chat.completions.create.assert_called_once_with(
+    mock_openai_client.chat.completions.create.assert_called_once_with(
         model="gpt-4o",
         messages=messages
     )
     assert response.choices[0].message.content == "I'm doing well, thank you for asking!"
     
 
-def test_generate_response_with_tools(mock_groq_client):
+def test_generate_response_with_tools(mock_openai_client):
     llm = OpenAILLM()
     messages = [
         {"role": "system", "content": "You are a helpful assistant."},
@@ -55,11 +55,11 @@ def test_generate_response_with_tools(mock_groq_client):
     
     mock_response = Mock()
     mock_response.choices = [Mock(message=Mock(content="Memory added successfully."))]
-    mock_groq_client.chat.completions.create.return_value = mock_response
+    mock_openai_client.chat.completions.create.return_value = mock_response
 
     response = llm.generate_response(messages, tools=tools)
 
-    mock_groq_client.chat.completions.create.assert_called_once_with(
+    mock_openai_client.chat.completions.create.assert_called_once_with(
         model="gpt-4o",
         messages=messages,
         tools=tools,

tests/llms/test_together.py

@@ -0,0 +1,69 @@
+import pytest
+from unittest.mock import Mock, patch
+from mem0.llms.together import TogetherLLM
+
+@pytest.fixture
+def mock_together_client():
+    with patch('mem0.llms.together.Together') as mock_together:
+        mock_client = Mock()
+        mock_together.return_value = mock_client
+        yield mock_client
+
+
+def test_generate_response_without_tools(mock_together_client):
+    llm = TogetherLLM()
+    messages = [
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Hello, how are you?"}
+    ]
+    
+    mock_response = Mock()
+    mock_response.choices = [Mock(message=Mock(content="I'm doing well, thank you for asking!"))]
+    mock_together_client.chat.completions.create.return_value = mock_response
+
+    response = llm.generate_response(messages)
+
+    mock_together_client.chat.completions.create.assert_called_once_with(
+        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
+        messages=messages
+    )
+    assert response.choices[0].message.content == "I'm doing well, thank you for asking!"
+
+
+def test_generate_response_with_tools(mock_together_client):
+    llm = TogetherLLM()
+    messages = [
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Add a new memory: Today is a sunny day."}
+    ]
+    tools = [
+        {
+            "type": "function",
+            "function": {
+                "name": "add_memory",
+                "description": "Add a memory",
+                "parameters": {
+                    "type": "object",
+                    "properties": {
+                        "data": {"type": "string", "description": "Data to add to memory"}
+                    },
+                    "required": ["data"],
+                },
+            },
+        }
+    ]
+    
+    mock_response = Mock()
+    mock_response.choices = [Mock(message=Mock(content="Memory added successfully."))]
+    mock_together_client.chat.completions.create.return_value = mock_response
+
+    response = llm.generate_response(messages, tools=tools)
+
+    mock_together_client.chat.completions.create.assert_called_once_with(
+        model="mistralai/Mixtral-8x7B-Instruct-v0.1",
+        messages=messages,
+        tools=tools,
+        tool_choice="auto"
+    )
+    assert response.choices[0].message.content == "Memory added successfully."
+