Refactored base class config for llms (#3241)

tests/llms/test_azure_openai.py

@@ -2,7 +2,7 @@ from unittest.mock import Mock, patch
 
 import pytest
 
-from mem0.configs.llms.base import BaseLlmConfig
+from mem0.configs.llms.azure import AzureOpenAIConfig
 from mem0.llms.azure_openai import AzureOpenAILLM
 
 MODEL = "gpt-4o"  # or your custom deployment name
@@ -20,7 +20,7 @@ def mock_openai_client():
 
 
 def test_generate_response_without_tools(mock_openai_client):
-    config = BaseLlmConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
+    config = AzureOpenAIConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
     llm = AzureOpenAILLM(config)
     messages = [
         {"role": "system", "content": "You are a helpful assistant."},
@@ -40,7 +40,7 @@ def test_generate_response_without_tools(mock_openai_client):
 
 
 def test_generate_response_with_tools(mock_openai_client):
-    config = BaseLlmConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
+    config = AzureOpenAIConfig(model=MODEL, temperature=TEMPERATURE, max_tokens=MAX_TOKENS, top_p=TOP_P)
     llm = AzureOpenAILLM(config)
     messages = [
         {"role": "system", "content": "You are a helpful assistant."},
@@ -107,7 +107,7 @@ def test_generate_with_http_proxies(default_headers):
         patch("mem0.llms.azure_openai.AzureOpenAI") as mock_azure_openai,
         patch("httpx.Client", new=mock_http_client),
     ):
-        config = BaseLlmConfig(
+        config = AzureOpenAIConfig(
             model=MODEL,
             temperature=TEMPERATURE,
             max_tokens=MAX_TOKENS,

tests/llms/test_deepseek.py

@@ -4,6 +4,7 @@ from unittest.mock import Mock, patch
 import pytest
 
 from mem0.configs.llms.base import BaseLlmConfig
+from mem0.configs.llms.deepseek import DeepSeekConfig
 from mem0.llms.deepseek import DeepSeekLLM
 
 
@@ -24,13 +25,13 @@ def test_deepseek_llm_base_url():
     # case2: with env variable DEEPSEEK_API_BASE
     provider_base_url = "https://api.provider.com/v1/"
     os.environ["DEEPSEEK_API_BASE"] = provider_base_url
-    config = BaseLlmConfig(model="deepseek-chat", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
+    config = DeepSeekConfig(model="deepseek-chat", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
     llm = DeepSeekLLM(config)
     assert str(llm.client.base_url) == provider_base_url
 
     # case3: with config.deepseek_base_url
     config_base_url = "https://api.config.com/v1/"
-    config = BaseLlmConfig(
+    config = DeepSeekConfig(
         model="deepseek-chat",
         temperature=0.7,
         max_tokens=100,

tests/llms/test_lm_studio.py

@@ -2,7 +2,7 @@ from unittest.mock import Mock, patch
 
 import pytest
 
-from mem0.configs.llms.base import BaseLlmConfig
+from mem0.configs.llms.lmstudio import LMStudioConfig
 from mem0.llms.lmstudio import LMStudioLLM
 
 
@@ -18,7 +18,7 @@ def mock_lm_studio_client():
 
 
 def test_generate_response_without_tools(mock_lm_studio_client):
-    config = BaseLlmConfig(
+    config = LMStudioConfig(
         model="lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf",
         temperature=0.7,
         max_tokens=100,
@@ -45,7 +45,7 @@ def test_generate_response_without_tools(mock_lm_studio_client):
 
 
 def test_generate_response_specifying_response_format(mock_lm_studio_client):
-    config = BaseLlmConfig(
+    config = LMStudioConfig(
         model="lmstudio-community/Meta-Llama-3.1-8B-Instruct-GGUF/Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf",
         temperature=0.7,
         max_tokens=100,

tests/llms/test_ollama.py

@@ -2,7 +2,7 @@ from unittest.mock import Mock, patch
 
 import pytest
 
-from mem0.configs.llms.base import BaseLlmConfig
+from mem0.configs.llms.ollama import OllamaConfig
 from mem0.llms.ollama import OllamaLLM
 
 
@@ -16,7 +16,7 @@ def mock_ollama_client():
 
 
 def test_generate_response_without_tools(mock_ollama_client):
-    config = BaseLlmConfig(model="llama3.1:70b", temperature=0.7, max_tokens=100, top_p=1.0)
+    config = OllamaConfig(model="llama3.1:70b", temperature=0.7, max_tokens=100, top_p=1.0)
     llm = OllamaLLM(config)
     messages = [
         {"role": "system", "content": "You are a helpful assistant."},

tests/llms/test_openai.py

@@ -3,7 +3,7 @@ from unittest.mock import Mock, patch
 
 import pytest
 
-from mem0.configs.llms.base import BaseLlmConfig
+from mem0.configs.llms.openai import OpenAIConfig
 from mem0.llms.openai import OpenAILLM
 
 
@@ -17,22 +17,22 @@ def mock_openai_client():
 
 def test_openai_llm_base_url():
     # case1: default config: with openai official base url
-    config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
+    config = OpenAIConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
     llm = OpenAILLM(config)
     # Note: openai client will parse the raw base_url into a URL object, which will have a trailing slash
     assert str(llm.client.base_url) == "https://api.openai.com/v1/"
 
     # case2: with env variable OPENAI_API_BASE
     provider_base_url = "https://api.provider.com/v1"
-    os.environ["OPENAI_API_BASE"] = provider_base_url
-    config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
+    os.environ["OPENAI_BASE_URL"] = provider_base_url
+    config = OpenAIConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key")
     llm = OpenAILLM(config)
     # Note: openai client will parse the raw base_url into a URL object, which will have a trailing slash
     assert str(llm.client.base_url) == provider_base_url + "/"
 
     # case3: with config.openai_base_url
     config_base_url = "https://api.config.com/v1"
-    config = BaseLlmConfig(
+    config = OpenAIConfig(
         model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key", openai_base_url=config_base_url
     )
     llm = OpenAILLM(config)
@@ -41,7 +41,7 @@ def test_openai_llm_base_url():
 
 
 def test_generate_response_without_tools(mock_openai_client):
-    config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0)
+    config = OpenAIConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0)
     llm = OpenAILLM(config)
     messages = [
         {"role": "system", "content": "You are a helpful assistant."},
@@ -61,7 +61,7 @@ def test_generate_response_without_tools(mock_openai_client):
 
 
 def test_generate_response_with_tools(mock_openai_client):
-    config = BaseLlmConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0)
+    config = OpenAIConfig(model="gpt-4o", temperature=0.7, max_tokens=100, top_p=1.0)
     llm = OpenAILLM(config)
     messages = [
         {"role": "system", "content": "You are a helpful assistant."},