Update version to 0.6.7a3 and fix formatting and import issues (#1445)

* Update version to 0.6.7a3 in pyproject.toml

* Fix formatting and import issues

* Import litellm package and update ChatLiteLLMComponent class

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow"
-version = "0.6.7a2"
+version = "0.6.7a3"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
 maintainers = [

src/backend/langflow/api/v1/login.py

@@ -85,9 +85,7 @@ async def auto_login(
 
 
 @router.post("/refresh")
-async def refresh_token(
-    request: Request, response: Response, settings_service=Depends(get_settings_service)
-):
+async def refresh_token(request: Request, response: Response, settings_service=Depends(get_settings_service)):
     auth_settings = settings_service.auth_settings
 
     token = request.cookies.get("refresh_token_lf")

src/backend/langflow/components/llms/ChatLiteLLM.py

@@ -1,9 +1,9 @@
-from dataclasses import Field
-from langflow import CustomComponent
-from typing import Optional, Union, Callable, Any, Dict
-from langflow.field_typing import BaseLanguageModel
-from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
 import os
+from typing import Any, Callable, Dict, Optional, Union
+
+from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
+from langflow import CustomComponent
+from langflow.field_typing import BaseLanguageModel
 
 
 class ChatLiteLLMComponent(CustomComponent):
@@ -108,20 +108,20 @@ class ChatLiteLLMComponent(CustomComponent):
         verbose: bool = False,
     ) -> Union[BaseLanguageModel, Callable]:
         try:
-            import litellm
-            litellm.drop_params=True
-            litellm.set_verbose=verbose
+            import litellm  # type: ignore
+
+            litellm.drop_params = True
+            litellm.set_verbose = verbose
         except ImportError:
             raise ChatLiteLLMException(
-                "Could not import litellm python package. "
-                "Please install it with `pip install litellm`"
+                "Could not import litellm python package. " "Please install it with `pip install litellm`"
             )
         if api_key:
             if "perplexity" in model:
                 os.environ["PERPLEXITYAI_API_KEY"] = api_key
             elif "replicate" in model:
                 os.environ["REPLICATE_API_KEY"] = api_key
-        
+
         LLM = ChatLiteLLM(
             model=model,
             client=None,

src/backend/langflow/interface/custom/custom_component/component.py

@@ -21,9 +21,7 @@ class ComponentFunctionEntrypointNameNullError(HTTPException):
 
 class Component:
     ERROR_CODE_NULL: ClassVar[str] = "Python code must be provided."
-    ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[str] = (
-        "The name of the entrypoint function must be provided."
-    )
+    ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[str] = "The name of the entrypoint function must be provided."
 
     code: Optional[str] = None
     _function_entrypoint_name: str = "build"

src/backend/langflow/services/settings/auth.py

@@ -26,9 +26,7 @@ class AuthSettings(BaseSettings):
     REFRESH_TOKEN_EXPIRE_MINUTES: int = 60 * 12 * 7
 
     # API Key to execute /process endpoint
-    API_KEY_SECRET_KEY: Optional[str] = (
-        "b82818e0ad4ff76615c5721ee21004b07d84cd9b87ba4d9cb42374da134b841a"
-    )
+    API_KEY_SECRET_KEY: Optional[str] = "b82818e0ad4ff76615c5721ee21004b07d84cd9b87ba4d9cb42374da134b841a"
     API_KEY_ALGORITHM: str = "HS256"
     API_V1_STR: str = "/api/v1"
 

src/frontend/src/stores/typesStore.ts

@@ -23,7 +23,7 @@ export const useTypesStore = create<TypesStoreType>((set, get) => ({
             data: { ...old.data, ...data },
             templates: templatesGenerator(data),
           }));
-          setLoading(false)
+          setLoading(false);
           resolve();
         })
         .catch((error) => {