Add langchain embedding, update langchain LLM and version bump -> 0.1.84 (#2510)

mem0/configs/llms/base.py

@@ -13,7 +13,7 @@ class BaseLlmConfig(ABC):
 
     def __init__(
         self,
-        model: Optional[str] = None,
+        model: Optional[Union[str, Dict]] = None,
         temperature: float = 0.1,
         api_key: Optional[str] = None,
         max_tokens: int = 2000,
@@ -41,8 +41,6 @@ class BaseLlmConfig(ABC):
         xai_base_url: Optional[str] = None,
         # LM Studio specific
         lmstudio_base_url: Optional[str] = "http://localhost:1234/v1",
-        # Langchain specific
-        langchain_provider: Optional[str] = None,
     ):
         """
         Initializes a configuration class instance for the LLM.
@@ -89,8 +87,6 @@ class BaseLlmConfig(ABC):
         :type xai_base_url: Optional[str], optional
         :param lmstudio_base_url: LM Studio base URL to be use, defaults to "http://localhost:1234/v1"
         :type lmstudio_base_url: Optional[str], optional
-        :param langchain_provider: Langchain provider to be use, defaults to None
-        :type langchain_provider: Optional[str], optional
         """
 
         self.model = model
@@ -127,6 +123,3 @@ class BaseLlmConfig(ABC):
 
         # LM Studio specific
         self.lmstudio_base_url = lmstudio_base_url
-
-        # Langchain specific
-        self.langchain_provider = langchain_provider