Fix import formatting and add dynamic field flag

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

@@ -1,22 +1,18 @@
 import time
 
-from fastapi import (APIRouter, Depends, HTTPException, Query, WebSocket,
-                     WebSocketException, status)
+from fastapi import APIRouter, Depends, HTTPException, Query, WebSocket, WebSocketException, status
 from fastapi.responses import StreamingResponse
 from loguru import logger
 from sqlmodel import Session
 
 from langflow.api.utils import build_input_keys_response, format_elapsed_time
-from langflow.api.v1.schemas import (BuildStatus, BuiltResponse, InitResponse,
-                                     StreamData)
+from langflow.api.v1.schemas import BuildStatus, BuiltResponse, InitResponse, StreamData
 from langflow.graph.graph.base import Graph
-from langflow.services.auth.utils import (get_current_active_user,
-                                          get_current_user_by_jwt)
+from langflow.services.auth.utils import get_current_active_user, get_current_user_by_jwt
 from langflow.services.cache.service import BaseCacheService
 from langflow.services.cache.utils import update_build_status
 from langflow.services.chat.service import ChatService
-from langflow.services.deps import (get_cache_service, get_chat_service,
-                                    get_session)
+from langflow.services.deps import get_cache_service, get_chat_service, get_session
 
 router = APIRouter(tags=["Chat"])
 

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

@@ -19,7 +19,7 @@ class AnthropicLLM(CustomComponent):
                     "claude-2.1",
                     "claude-2.0",
                     "claude-instant-1.2",
-                    "claude-instant-1"
+                    "claude-instant-1",
                     # Add more models as needed
                 ],
                 "info": "https://python.langchain.com/docs/integrations/chat/anthropic",

src/backend/langflow/components/vectorstores/Faiss.py

@@ -48,9 +48,7 @@ class FAISSComponent(CustomComponent):
 
         # Load if persistence is LocalDirectory
         if documents is None and folder_path is not None:
-            return FAISS.load_local(
-                folder_path=folder_path, embeddings=embeddings, index_name=index_name
-            )
+            return FAISS.load_local(folder_path=folder_path, embeddings=embeddings, index_name=index_name)
 
         if documents is None:
             raise ValueError("Documents must be provided in the params")

src/backend/langflow/field_typing/__init__.py

@@ -1,11 +1,29 @@
 from typing import Any
 
-from .constants import (AgentExecutor, BaseChatMemory, BaseLanguageModel,
-                        BaseLLM, BaseLoader, BaseMemory, BaseOutputParser,
-                        BasePromptTemplate, BaseRetriever, Callable, Chain,
-                        ChatPromptTemplate, Data, Document, Embeddings,
-                        NestedDict, Object, Prompt, PromptTemplate,
-                        TextSplitter, Tool, VectorStore)
+from .constants import (
+    AgentExecutor,
+    BaseChatMemory,
+    BaseLanguageModel,
+    BaseLLM,
+    BaseLoader,
+    BaseMemory,
+    BaseOutputParser,
+    BasePromptTemplate,
+    BaseRetriever,
+    Callable,
+    Chain,
+    ChatPromptTemplate,
+    Data,
+    Document,
+    Embeddings,
+    NestedDict,
+    Object,
+    Prompt,
+    PromptTemplate,
+    TextSplitter,
+    Tool,
+    VectorStore,
+)
 from .range_spec import RangeSpec
 
 

src/backend/langflow/interface/agents/custom.py

@@ -1,29 +1,25 @@
 from typing import Any, List, Optional
 
-from langchain.agents import (AgentExecutor, AgentType, Tool, ZeroShotAgent,
-                              initialize_agent)
-from langchain.agents.agent_toolkits import (SQLDatabaseToolkit,
-                                             VectorStoreInfo,
-                                             VectorStoreRouterToolkit,
-                                             VectorStoreToolkit)
-from langchain.agents.agent_toolkits.json.prompt import (JSON_PREFIX,
-                                                         JSON_SUFFIX)
+from langchain.agents import AgentExecutor, AgentType, Tool, ZeroShotAgent, initialize_agent
+from langchain.agents.agent_toolkits import (
+    SQLDatabaseToolkit,
+    VectorStoreInfo,
+    VectorStoreRouterToolkit,
+    VectorStoreToolkit,
+)
+from langchain.agents.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX
 from langchain.agents.agent_toolkits.json.toolkit import JsonToolkit
 from langchain.agents.agent_toolkits.sql.prompt import SQL_PREFIX, SQL_SUFFIX
-from langchain.agents.agent_toolkits.vectorstore.prompt import \
-    PREFIX as VECTORSTORE_PREFIX
-from langchain.agents.agent_toolkits.vectorstore.prompt import \
-    ROUTER_PREFIX as VECTORSTORE_ROUTER_PREFIX
+from langchain.agents.agent_toolkits.vectorstore.prompt import PREFIX as VECTORSTORE_PREFIX
+from langchain.agents.agent_toolkits.vectorstore.prompt import ROUTER_PREFIX as VECTORSTORE_ROUTER_PREFIX
 from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
 from langchain.base_language import BaseLanguageModel
 from langchain.chains.llm import LLMChain
 from langchain.memory.chat_memory import BaseChatMemory
 from langchain.sql_database import SQLDatabase
 from langchain.tools.sql_database.prompt import QUERY_CHECKER
-from langchain_experimental.agents.agent_toolkits.pandas.prompt import \
-    PREFIX as PANDAS_PREFIX
-from langchain_experimental.agents.agent_toolkits.pandas.prompt import \
-    SUFFIX_WITH_DF as PANDAS_SUFFIX
+from langchain_experimental.agents.agent_toolkits.pandas.prompt import PREFIX as PANDAS_PREFIX
+from langchain_experimental.agents.agent_toolkits.pandas.prompt import SUFFIX_WITH_DF as PANDAS_SUFFIX
 from langchain_experimental.tools.python.tool import PythonAstREPLTool
 
 from langflow.interface.base import CustomAgentExecutor
@@ -178,10 +174,12 @@ class SQLAgent(CustomAgentExecutor):
         # related to `OPENAI_API_KEY`
         # return create_sql_agent(llm=llm, toolkit=toolkit, verbose=True)
         from langchain.prompts import PromptTemplate
-        from langchain.tools.sql_database.tool import (InfoSQLDatabaseTool,
-                                                       ListSQLDatabaseTool,
-                                                       QuerySQLCheckerTool,
-                                                       QuerySQLDataBaseTool)
+        from langchain.tools.sql_database.tool import (
+            InfoSQLDatabaseTool,
+            ListSQLDatabaseTool,
+            QuerySQLCheckerTool,
+            QuerySQLDataBaseTool,
+        )
 
         llmchain = LLMChain(
             llm=llm,

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

@@ -10,7 +10,8 @@ from langflow.interface.custom.component import Component
 from langflow.interface.custom.directory_reader import DirectoryReader
 from langflow.interface.custom.utils import (
     extract_inner_type_from_generic_alias,
-    extract_union_types_from_generic_alias)
+    extract_union_types_from_generic_alias,
+)
 from langflow.services.database.models.flow import Flow
 from langflow.services.database.utils import session_getter
 from langflow.services.deps import get_credential_service, get_db_service
@@ -217,8 +218,7 @@ class CustomComponent(Component):
         return validate.create_function(self.code, self.function_entrypoint_name)
 
     async def load_flow(self, flow_id: str, tweaks: Optional[dict] = None) -> Any:
-        from langflow.processing.process import (build_sorted_vertices,
-                                                 process_tweaks)
+        from langflow.processing.process import build_sorted_vertices, process_tweaks
 
         db_service = get_db_service()
         with session_getter(db_service) as session:

src/backend/langflow/interface/types.py

@@ -31,8 +31,7 @@ from langflow.interface.utilities.base import utility_creator
 from langflow.interface.vector_store.base import vectorstore_creator
 from langflow.interface.wrappers.base import wrapper_creator
 from langflow.template.field.base import TemplateField
-from langflow.template.frontend_node.custom_components import \
-    CustomComponentFrontendNode
+from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode
 from langflow.utils.util import get_base_classes
 
 

src/backend/langflow/processing/base.py

@@ -4,8 +4,7 @@ from langchain.agents.agent import AgentExecutor
 from langchain.callbacks.base import BaseCallbackHandler
 from loguru import logger
 
-from langflow.api.v1.callback import (AsyncStreamingLLMCallbackHandler,
-                                      StreamingLLMCallbackHandler)
+from langflow.api.v1.callback import AsyncStreamingLLMCallbackHandler, StreamingLLMCallbackHandler
 from langflow.processing.process import fix_memory_inputs, format_actions
 from langflow.services.deps import get_plugins_service
 

src/backend/langflow/processing/process.py

@@ -11,8 +11,7 @@ from loguru import logger
 from pydantic import BaseModel
 
 from langflow.graph import Graph
-from langflow.interface.run import (build_sorted_vertices, get_memory_key,
-                                    update_memory_keys)
+from langflow.interface.run import build_sorted_vertices, get_memory_key, update_memory_keys
 from langflow.services.deps import get_session_service
 
 

src/backend/langflow/services/utils.py

@@ -5,8 +5,7 @@ from langflow.services.auth.utils import create_super_user, verify_password
 from langflow.services.database.utils import initialize_database
 from langflow.services.manager import service_manager
 from langflow.services.schema import ServiceType
-from langflow.services.settings.constants import (DEFAULT_SUPERUSER,
-                                                  DEFAULT_SUPERUSER_PASSWORD)
+from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD
 
 from .deps import get_db_service, get_session, get_settings_service
 
@@ -18,8 +17,7 @@ def get_factories_and_deps():
     from langflow.services.credentials import factory as credentials_factory
     from langflow.services.database import factory as database_factory
     from langflow.services.plugins import factory as plugins_factory
-    from langflow.services.session import \
-        factory as session_service_factory  # type: ignore
+    from langflow.services.session import factory as session_service_factory  # type: ignore
     from langflow.services.settings import factory as settings_factory
     from langflow.services.store import factory as store_factory
     from langflow.services.task import factory as task_factory
@@ -176,8 +174,7 @@ def initialize_session_service():
     Initialize the session manager.
     """
     from langflow.services.cache import factory as cache_factory
-    from langflow.services.session import \
-        factory as session_service_factory  # type: ignore
+    from langflow.services.session import factory as session_service_factory  # type: ignore
 
     initialize_settings_service()
 

src/backend/langflow/template/frontend_node/prompts.py

@@ -38,6 +38,7 @@ class PromptFrontendNode(FrontendNode):
 
         # All prompt fields should be password=False
         field.password = False
+        field.dynamic = True
 
 
 class PromptTemplateNode(FrontendNode):