jyapayne/langflow
1
0
Fork 0
Code Issues Pull requests Projects Releases 1 Packages Wiki Activity Actions

Add support for Python 3.12 (#1873)

Browse source 
* Add support for Python 3.12

* chore: Update Python version to 3.11 and DuckDB dependency to 0.10.2

* chore: fix mistral components lint

* Update SQLAgent and SQLExecutor imports to use langchain_community utilities

* Update langchain import to langchain_community

* Update langchain import to langchain_community

* 📝 (langflow/__main__.py): Import warnings module to suppress warnings during app execution
📝 (langflow/api/v1/schemas.py): Update timestamp field default value to use datetime.now with timezone.utc
📝 (auth/utils.py): Ignore warnings related to datetime.utcnow when decoding JWT tokens and creating refresh tokens
📝 (models/flow/model.py): Update updated_at field default value to use lambda function with timezone.utc
📝 (models/user/model.py): Update create_at and updated_at field default values to use lambda function with timezone.utc
This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-05-10 12:25:34 -03:00 • committed by GitHub
commit 5ca1c22893
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
36 changed files with 468 additions and 874 deletions
Download patch file Download diff file Expand all files Collapse all files

5
src/backend/base/langflow/__main__.py
View file

@ -4,6 +4,7 @@ import sys
import time
from pathlib import Path
from typing import Optional
import warnings
import click
import httpx
@ -468,7 +469,9 @@ def migration(
def main():
app()
with warnings.catch_warnings():
warnings.simplefilter("ignore")
app()
if __name__ == "__main__":

6
src/backend/base/langflow/api/v1/flows.py
View file

@ -1,4 +1,4 @@
from datetime import datetime
from datetime import datetime, timezone
from typing import List
from uuid import UUID
@ -33,7 +33,7 @@ def create_flow(
flow.user_id = current_user.id
db_flow = Flow.model_validate(flow, from_attributes=True)
db_flow.updated_at = datetime.utcnow()
db_flow.updated_at = datetime.now(timezone.utc)
session.add(db_flow)
session.commit()
@ -128,7 +128,7 @@ def update_flow(
for key, value in flow_data.items():
if value is not None:
setattr(db_flow, key, value)
db_flow.updated_at = datetime.utcnow()
db_flow.updated_at = datetime.now(timezone.utc)
session.add(db_flow)
session.commit()
session.refresh(db_flow)

4
src/backend/base/langflow/api/v1/schemas.py
View file

@ -1,4 +1,4 @@
from datetime import datetime
from datetime import datetime, timezone
from enum import Enum
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
@ -250,7 +250,7 @@ class VertexBuildResponse(BaseModel):
"""JSON string of the params."""
data: ResultDataResponse
"""Mapping of vertex ids to result dict containing the param name and result value."""
timestamp: Optional[datetime] = Field(default_factory=datetime.utcnow)
timestamp: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc))
"""Timestamp of the build."""

58
src/backend/base/langflow/base/data/utils.py
View file

@ -67,23 +67,25 @@ def retrieve_file_paths(
return file_paths
def partition_file_to_record(file_path: str, silent_errors: bool) -> Optional[Record]:
# Use the partition function to load the file
from unstructured.partition.auto import partition # type: ignore
# ! Removing unstructured dependency until
# ! 3.12 is supported
# def partition_file_to_record(file_path: str, silent_errors: bool) -> Optional[Record]:
# # Use the partition function to load the file
# from unstructured.partition.auto import partition # type: ignore
try:
elements = partition(file_path)
except Exception as e:
if not silent_errors:
raise ValueError(f"Error loading file {file_path}: {e}") from e
return None
# try:
# elements = partition(file_path)
# except Exception as e:
# if not silent_errors:
# raise ValueError(f"Error loading file {file_path}: {e}") from e
# return None
# Create a Record
text = "\n\n".join([Text(el) for el in elements])
metadata = elements.metadata if hasattr(elements, "metadata") else {}
metadata["file_path"] = file_path
record = Record(text=text, data=metadata)
return record
# # Create a Record
# text = "\n\n".join([Text(el) for el in elements])
# metadata = elements.metadata if hasattr(elements, "metadata") else {}
# metadata["file_path"] = file_path
# record = Record(text=text, data=metadata)
# return record
def read_text_file(file_path: str) -> str:
@ -131,18 +133,20 @@ def parse_text_file_to_record(file_path: str, silent_errors: bool) -> Optional[R
return record
def get_elements(
file_paths: List[str],
silent_errors: bool,
max_concurrency: int,
use_multithreading: bool,
) -> List[Optional[Record]]:
if use_multithreading:
records = parallel_load_records(file_paths, silent_errors, max_concurrency)
else:
records = [partition_file_to_record(file_path, silent_errors) for file_path in file_paths]
records = list(filter(None, records))
return records
# ! Removing unstructured dependency until
# ! 3.12 is supported
# def get_elements(
# file_paths: List[str],
# silent_errors: bool,
# max_concurrency: int,
# use_multithreading: bool,
# ) -> List[Optional[Record]]:
# if use_multithreading:
# records = parallel_load_records(file_paths, silent_errors, max_concurrency)
# else:
# records = [partition_file_to_record(file_path, silent_errors) for file_path in file_paths]
# records = list(filter(None, records))
# return records
def parallel_load_records(

2
src/backend/base/langflow/components/agents/SQLAgent.py
View file

@ -1,7 +1,7 @@
from typing import Callable, Union
from langchain.agents import AgentExecutor
from langchain.sql_database import SQLDatabase
from langchain_community.utilities import SQLDatabase
from langchain_community.agent_toolkits import SQLDatabaseToolkit
from langchain_community.agent_toolkits.sql.base import create_sql_agent

2
src/backend/base/langflow/components/experimental/SQLExecutor.py
View file

@ -1,5 +1,5 @@
from langchain_community.tools.sql_database.tool import QuerySQLDataBaseTool
from langchain_experimental.sql.base import SQLDatabase
from langchain_community.utilities import SQLDatabase
from langflow.field_typing import Text
from langflow.interface.custom.custom_component import CustomComponent

2
src/backend/base/langflow/components/model_specs/BaiduQianfanLLMEndpointsSpecs.py
View file

@ -1,6 +1,6 @@
from typing import Optional
from langchain.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
from langchain_community.llms.baidu_qianfan_endpoint import QianfanLLMEndpoint
from langflow.interface.custom.custom_component import CustomComponent
from langflow.field_typing import BaseLanguageModel

8
src/backend/base/langflow/components/model_specs/ChatMistralSpecs.py
View file

@ -30,7 +30,7 @@ class MistralAIModelComponent(CustomComponent):
"open-mixtral-8x22b",
"mistral-small-latest",
"mistral-medium-latest",
"mistral-large-latest"
"mistral-large-latest",
],
"info": "Name of the model to use.",
"required": True,
@ -64,9 +64,9 @@ class MistralAIModelComponent(CustomComponent):
def build(
self,
model: str,
temperature: float = 0.1,
mistral_api_key: Optional[str] = None,
max_tokens: Optional[int] = None,
temperature: Optional[float] = None,
mistral_api_base: Optional[str] = None,
) -> BaseLanguageModel:
# Set default API endpoint if not provided
@ -75,11 +75,11 @@ class MistralAIModelComponent(CustomComponent):
try:
output = ChatMistralAI(
model=model,
model_name=model,
api_key=(SecretStr(mistral_api_key) if mistral_api_key else None),
max_tokens=max_tokens,
temperature=temperature,
base_url=mistral_api_base,
endpoint=mistral_api_base,
)
except Exception as e:
raise ValueError("Could not connect to Mistral API.") from e

2
src/backend/base/langflow/components/model_specs/HuggingFaceEndpointsSpecs.py
View file

@ -1,7 +1,7 @@
from typing import Optional
from langflow.field_typing import BaseLanguageModel
from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint
from langchain_community.llms.huggingface_endpoint import HuggingFaceEndpoint
from langflow.interface.custom.custom_component import CustomComponent

52
src/backend/base/langflow/components/models/MistralModel.py
View file

@ -5,7 +5,7 @@ from pydantic.v1 import SecretStr
from langflow.base.constants import STREAM_INFO_TEXT
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import NestedDict, Text
from langflow.field_typing import Text
class MistralAIModelComponent(LCModelComponent):
@ -32,10 +32,6 @@ class MistralAIModelComponent(LCModelComponent):
"display_name": "Max Tokens",
"advanced": True,
},
"model_kwargs": {
"display_name": "Model Kwargs",
"advanced": True,
},
"model_name": {
"display_name": "Model Name",
"advanced": False,
@ -45,7 +41,7 @@ class MistralAIModelComponent(LCModelComponent):
"open-mixtral-8x22b",
"mistral-small-latest",
"mistral-medium-latest",
"mistral-large-latest"
"mistral-large-latest",
],
"value": "open-mistral-7b",
},
@ -78,19 +74,48 @@ class MistralAIModelComponent(LCModelComponent):
"info": "System message to pass to the model.",
"advanced": True,
},
"max_retries": {
"display_name": "Max Retries",
"advanced": True,
},
"timeout": {
"display_name": "Timeout",
"advanced": True,
},
"max_concurrent_requests": {
"display_name": "Max Concurrent Requests",
"advanced": True,
},
"top_p": {
"display_name": "Top P",
"advanced": True,
},
"random_seed": {
"display_name": "Random Seed",
"advanced": True,
},
"safe_mode": {
"display_name": "Safe Mode",
"advanced": True,
},
}
def build(
self,
input_value: Text,
mistral_api_key: str,
temperature: float,
model_name: str,
temperature: float = 0.1,
max_tokens: Optional[int] = 256,
model_kwargs: NestedDict = {},
mistral_api_base: Optional[str] = None,
stream: bool = False,
system_message: Optional[str] = None,
max_retries: int = 5,
timeout: int = 120,
max_concurrent_requests: int = 64,
top_p: float = 1,
random_seed: Optional[int] = None,
safe_mode: bool = False,
) -> Text:
if not mistral_api_base:
mistral_api_base = "https://api.mistral.ai"
@ -101,11 +126,16 @@ class MistralAIModelComponent(LCModelComponent):
chat_model = ChatMistralAI(
max_tokens=max_tokens,
model_kwargs=model_kwargs,
model=model_name,
base_url=mistral_api_base,
model_name=model_name,
endpoint=mistral_api_base,
api_key=api_key,
temperature=temperature,
max_retries=max_retries,
timeout=timeout,
max_concurrent_requests=max_concurrent_requests,
top_p=top_p,
random_seed=random_seed,
safe_mode=safe_mode,
)
return self.get_chat_result(chat_model, stream, input_value, system_message)

5
src/backend/base/langflow/config.yaml
View file

@ -224,11 +224,6 @@ wrappers:
documentation: ""
SQLDatabase:
documentation: ""
output_parsers:
StructuredOutputParser:
documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured"
ResponseSchema:
documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured"
custom_components:
CustomComponent:
documentation: "https://docs.langflow.org/guidelines/custom-component"

2
src/backend/base/langflow/graph/graph/constants.py
View file

@ -5,7 +5,6 @@ from langflow.interface.document_loaders.base import documentloader_creator
from langflow.interface.embeddings.base import embedding_creator
from langflow.interface.llms.base import llm_creator
from langflow.interface.memories.base import memory_creator
from langflow.interface.output_parsers.base import output_parser_creator
from langflow.interface.prompts.base import prompt_creator
from langflow.interface.retrievers.base import retriever_creator
from langflow.interface.text_splitters.base import textsplitter_creator
@ -46,7 +45,6 @@ class VertexTypesDict(LazyLoadDictBase):
# **{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()},
**{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()},
**{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()},
**{t: types.OutputParserVertex for t in output_parser_creator.to_list()},
**{t: types.CustomComponentVertex for t in custom_component_creator.to_list()},
**{t: types.RetrieverVertex for t in retriever_creator.to_list()},
**{t: types.ChatVertex for t in CHAT_COMPONENTS},

5
src/backend/base/langflow/graph/vertex/types.py
View file

@ -300,11 +300,6 @@ class PromptVertex(Vertex):
return str(self._built_object)
class OutputParserVertex(Vertex):
def __init__(self, data: Dict, graph):
super().__init__(data, graph=graph, base_type="output_parsers")
class CustomComponentVertex(Vertex):
def __init__(self, data: Dict, graph):
super().__init__(data, graph=graph, base_type="custom_components")

2
src/backend/base/langflow/interface/agents/custom.py
View file

@ -7,7 +7,7 @@ from langchain.agents.agent_toolkits.vectorstore.prompt import ROUTER_PREFIX as
from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS
from langchain.base_language import BaseLanguageModel
from langchain.chains.llm import LLMChain
from langchain.sql_database import SQLDatabase
from langchain_community.utilities import SQLDatabase
from langchain.tools.sql_database.prompt import QUERY_CHECKER
from langchain_community.agent_toolkits import SQLDatabaseToolkit
from langchain_community.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX

4
src/backend/base/langflow/interface/custom_lists.py
View file

@ -1,7 +1,7 @@
import inspect
from typing import Any
from langchain import llms, memory, requests, text_splitter
from langchain import llms, memory, text_splitter
from langchain_community import agent_toolkits, document_loaders, embeddings
from langchain_community.chat_models import AzureChatOpenAI, ChatAnthropic, ChatOpenAI, ChatVertexAI
@ -43,8 +43,6 @@ memory_type_to_cls_dict: dict[str, Any] = {
memory_name: import_class(f"langchain.memory.{memory_name}") for memory_name in memory.__all__
}
# Wrappers
wrapper_type_to_cls_dict: dict[str, Any] = {wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper]}
# Embeddings
embedding_type_to_cls_dict: dict[str, Any] = {

6
src/backend/base/langflow/interface/importing/utils.py
View file

@ -45,7 +45,6 @@ def import_by_type(_type: str, name: str) -> Any:
"documentloaders": import_documentloader,
"textsplitters": import_textsplitter,
"utilities": import_utility,
"output_parsers": import_output_parser,
"retrievers": import_retriever,
}
if _type == "models":
@ -57,11 +56,6 @@ def import_by_type(_type: str, name: str) -> Any:
return loaded_func(name)
def import_output_parser(output_parser: str) -> Any:
"""Import output parser from output parser name"""
return import_module(f"from langchain.output_parsers import {output_parser}")
def import_chat_llm(llm: str) -> BaseChatModel:
"""Import chat llm from llm name"""
return import_class(f"langchain_community.chat_models.{llm}")

21
src/backend/base/langflow/interface/initialize/loading.py
View file

@ -20,7 +20,6 @@ from langflow.interface.importing.utils import import_by_type
from langflow.interface.initialize.llm import initialize_vertexai
from langflow.interface.initialize.utils import handle_format_kwargs, handle_node_type, handle_partial_variables
from langflow.interface.initialize.vector_store import vecstore_initializer
from langflow.interface.output_parsers.base import output_parser_creator
from langflow.interface.retrievers.base import retriever_creator
from langflow.interface.toolkits.base import toolkits_creator
from langflow.interface.utils import load_file_into_dict
@ -126,8 +125,6 @@ async def instantiate_based_on_type(
return instantiate_utility(node_type, class_object, params)
elif base_type == "chains":
return instantiate_chains(node_type, class_object, params)
elif base_type == "output_parsers":
return instantiate_output_parser(node_type, class_object, params)
elif base_type == "models":
return instantiate_llm(node_type, class_object, params)
elif base_type == "retrievers":
@ -201,15 +198,6 @@ def instantiate_wrapper(node_type, class_object, params):
return class_object(**params)
def instantiate_output_parser(node_type, class_object, params):
if node_type in output_parser_creator.from_method_nodes:
method = output_parser_creator.from_method_nodes[node_type]
if class_method := getattr(class_object, method, None):
return class_method(**params)
raise ValueError(f"Method {method} not found in {class_object}")
return class_object(**params)
def instantiate_llm(node_type, class_object, params: Dict):
# This is a workaround so JinaChat works until streaming is implemented
# if "openai_api_base" in params and "jina" in params["openai_api_base"]:
@ -514,15 +502,6 @@ def build_prompt_template(prompt, tools):
"show": False,
"multiline": False,
},
"output_parser": {
"type": "BaseOutputParser",
"required": False,
"placeholder": "",
"list": False,
"show": False,
"multline": False,
"value": None,
},
"template": {
"type": "str",
"required": True,

0
src/backend/base/langflow/interface/output_parsers/__init__.py
View file

63
src/backend/base/langflow/interface/output_parsers/base.py
View file

@ -1,63 +0,0 @@
from typing import ClassVar, Dict, List, Optional, Type
from langchain import output_parsers
from langflow.interface.base import LangChainTypeCreator
from langflow.interface.importing.utils import import_class
from langflow.interface.utils import build_template_from_class
from langflow.services.deps import get_settings_service
from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode
from langflow.utils.util import build_template_from_method
from loguru import logger
class OutputParserCreator(LangChainTypeCreator):
type_name: str = "output_parsers"
from_method_nodes: ClassVar[Dict] = {
"StructuredOutputParser": "from_response_schemas",
}
@property
def frontend_node_class(self) -> Type[OutputParserFrontendNode]:
return OutputParserFrontendNode
@property
def type_to_loader_dict(self) -> Dict:
if self.type_dict is None:
settings_service = get_settings_service()
self.type_dict = {
output_parser_name: import_class(f"langchain.output_parsers.{output_parser_name}")
# if output_parser_name is not lower case it is a class
for output_parser_name in output_parsers.__all__
}
self.type_dict = {
name: output_parser
for name, output_parser in self.type_dict.items()
if name in settings_service.settings.OUTPUT_PARSERS or settings_service.settings.DEV
}
return self.type_dict
def get_signature(self, name: str) -> Optional[Dict]:
try:
if name in self.from_method_nodes:
return build_template_from_method(
name,
type_to_cls_dict=self.type_to_loader_dict,
method_name=self.from_method_nodes[name],
)
else:
return build_template_from_class(
name,
type_to_cls_dict=self.type_to_loader_dict,
)
except ValueError as exc:
# raise ValueError("OutputParser not found") from exc
logger.error(f"OutputParser {name} not found: {exc}")
except AttributeError as exc:
logger.error(f"OutputParser {name} not loaded: {exc}")
return None
def to_list(self) -> List[str]:
return list(self.type_to_loader_dict.keys())
output_parser_creator = OutputParserCreator()

2
src/backend/base/langflow/interface/types.py
View file

@ -8,7 +8,6 @@ from langflow.interface.document_loaders.base import documentloader_creator
from langflow.interface.embeddings.base import embedding_creator
from langflow.interface.llms.base import llm_creator
from langflow.interface.memories.base import memory_creator
from langflow.interface.output_parsers.base import output_parser_creator
from langflow.interface.retrievers.base import retriever_creator
from langflow.interface.text_splitters.base import textsplitter_creator
from langflow.interface.toolkits.base import toolkits_creator
@ -48,7 +47,6 @@ def build_langchain_types_dict(): # sourcery skip: dict-assign-update-to-union
documentloader_creator,
textsplitter_creator,
# utility_creator,
output_parser_creator,
retriever_creator,
]

2
src/backend/base/langflow/interface/utils.py
View file

@ -106,7 +106,7 @@ def set_langchain_cache(settings):
if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"):
try:
cache_class = import_class(f"langchain.cache.{cache_type or settings.LANGCHAIN_CACHE}")
cache_class = import_class(f"langchain_community.cache.{cache_type or settings.LANGCHAIN_CACHE}")
logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
set_llm_cache(cache_class())

37
src/backend/base/langflow/services/auth/utils.py
View file

@ -1,21 +1,20 @@
from datetime import datetime, timedelta, timezone
from typing import Annotated, Coroutine, Optional, Union
from uuid import UUID
import warnings
from cryptography.fernet import Fernet
from fastapi import Depends, HTTPException, Security, status
from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer
from jose import JWTError, jwt
from sqlmodel import Session
from starlette.websockets import WebSocket
from langflow.services.database.models.api_key.crud import check_key
from langflow.services.database.models.api_key.model import ApiKey
from langflow.services.database.models.user.crud import (
get_user_by_id,
get_user_by_username,
update_user_last_login_at,
)
from langflow.services.database.models.user.crud import get_user_by_id, get_user_by_username, update_user_last_login_at
from langflow.services.database.models.user.model import User
from langflow.services.deps import get_session, get_settings_service
@ -111,11 +110,15 @@ async def get_current_user_by_jwt(
raise credentials_exception
try:
payload = jwt.decode(
token,
settings_service.auth_settings.SECRET_KEY.get_secret_value(),
algorithms=[settings_service.auth_settings.ALGORITHM],
)
# Ignore warning about datetime.utcnow
with warnings.catch_warnings():
warnings.simplefilter("ignore")
payload = jwt.decode(
token,
settings_service.auth_settings.SECRET_KEY.get_secret_value(),
algorithms=[settings_service.auth_settings.ALGORITHM],
)
user_id: UUID = payload.get("sub") # type: ignore
token_type: str = payload.get("type") # type: ignore
if expires := payload.get("exp", None):
@ -285,11 +288,14 @@ def create_refresh_token(refresh_token: str, db: Session = Depends(get_session))
settings_service = get_settings_service()
try:
payload = jwt.decode(
refresh_token,
settings_service.auth_settings.SECRET_KEY.get_secret_value(),
algorithms=[settings_service.auth_settings.ALGORITHM],
)
# Ignore warning about datetime.utcnow
with warnings.catch_warnings():
warnings.simplefilter("ignore")
payload = jwt.decode(
refresh_token,
settings_service.auth_settings.SECRET_KEY.get_secret_value(),
algorithms=[settings_service.auth_settings.ALGORITHM],
)
user_id: UUID = payload.get("sub") # type: ignore
token_type: str = payload.get("type") # type: ignore
@ -349,3 +355,4 @@ def decrypt_api_key(encrypted_api_key: str, settings_service=Depends(get_setting
encoded_bytes = encrypted_api_key
decrypted_key = fernet.decrypt(encoded_bytes).decode()
return decrypted_key
return decrypted_key

4
src/backend/base/langflow/services/database/models/flow/model.py
View file

@ -1,7 +1,7 @@
# Path: src/backend/langflow/services/database/models/flow/model.py
import warnings
from datetime import datetime
from datetime import datetime, timezone
from typing import TYPE_CHECKING, Dict, Optional
from uuid import UUID, uuid4
@ -23,7 +23,7 @@ class FlowBase(SQLModel):
icon_bg_color: Optional[str] = Field(default=None, nullable=True)
data: Optional[Dict] = Field(default=None, nullable=True)
is_component: Optional[bool] = Field(default=False, nullable=True)
updated_at: Optional[datetime] = Field(default_factory=datetime.utcnow, nullable=True)
updated_at: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc), nullable=True)
folder: Optional[str] = Field(default=None, nullable=True)
@field_validator("icon_bg_color")

6
src/backend/base/langflow/services/database/models/user/model.py
View file

@ -1,4 +1,4 @@
from datetime import datetime
from datetime import datetime, timezone
from typing import TYPE_CHECKING, Optional
from uuid import UUID, uuid4
@ -17,8 +17,8 @@ class User(SQLModel, table=True):
profile_image: Optional[str] = Field(default=None, nullable=True)
is_active: bool = Field(default=False)
is_superuser: bool = Field(default=False)
create_at: datetime = Field(default_factory=datetime.utcnow)
updated_at: datetime = Field(default_factory=datetime.utcnow)
create_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
updated_at: datetime = Field(default_factory=lambda: datetime.now(timezone.utc))
last_login_at: Optional[datetime] = Field(default=None, nullable=True)
api_keys: list["ApiKey"] = Relationship(
back_populates="user",

2
src/backend/base/langflow/services/settings/base.py
View file

@ -72,7 +72,6 @@ class Settings(BaseSettings):
TOOLKITS: dict = {}
TEXTSPLITTERS: dict = {}
UTILITIES: dict = {}
OUTPUT_PARSERS: dict = {}
CUSTOM_COMPONENTS: dict = {}
# Define the default LANGFLOW_DIR
@ -241,7 +240,6 @@ class Settings(BaseSettings):
self.VECTORSTORES = new_settings.VECTORSTORES or {}
self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {}
self.RETRIEVERS = new_settings.RETRIEVERS or {}
self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {}
self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {}
self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or []
self.DEV = dev

2
src/backend/base/langflow/settings.py
View file

@ -28,7 +28,6 @@ class Settings(BaseSettings):
TOOLKITS: dict = {}
TEXTSPLITTERS: dict = {}
UTILITIES: dict = {}
OUTPUT_PARSERS: dict = {}
CUSTOM_COMPONENTS: dict = {}
DEV: bool = False
@ -102,7 +101,6 @@ class Settings(BaseSettings):
self.VECTORSTORES = new_settings.VECTORSTORES or {}
self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {}
self.RETRIEVERS = new_settings.RETRIEVERS or {}
self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {}
self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {}
self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or []
self.DEV = dev

2
src/backend/base/langflow/template/field/prompt.py
View file

@ -10,5 +10,5 @@ class DefaultPromptField(TemplateField):
advanced: bool = False
multiline: bool = True
input_types: list[str] = ["Document", "BaseOutputParser", "Record", "Text"]
input_types: list[str] = ["Document", "Record", "Text"]
value: str = "" # Set the value to empty string

1
src/backend/base/langflow/template/frontend_node/custom_components.py
View file

@ -14,7 +14,6 @@ from langflow.field_typing import (
BaseLLM,
BaseLoader,
BaseMemory,
BaseOutputParser,
BasePromptTemplate,
BaseRetriever,
Callable,

12
src/backend/base/langflow/template/frontend_node/output_parsers.py
View file

@ -1,12 +0,0 @@
from typing import Optional
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
class OutputParserFrontendNode(FrontendNode):
@staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
FrontendNode.format_field(field, name)
field.show = True

136
src/backend/base/poetry.lock generated
View file

@ -517,13 +517,13 @@ test-randomorder = ["pytest-randomly"]
[[package]]
name = "dataclasses-json"
version = "0.6.5"
version = "0.6.6"
description = "Easily serialize dataclasses to and from JSON."
optional = false
python-versions = "<4.0,>=3.7"
files = [
{file = "dataclasses_json-0.6.5-py3-none-any.whl", hash = "sha256:f49c77aa3a85cac5bf5b7f65f4790ca0d2be8ef4d92c75e91ba0103072788a39"},
{file = "dataclasses_json-0.6.5.tar.gz", hash = "sha256:1c287594d9fcea72dc42d6d3836cf14848c2dc5ce88f65ed61b36b57f515fe26"},
{file = "dataclasses_json-0.6.6-py3-none-any.whl", hash = "sha256:e54c5c87497741ad454070ba0ed411523d46beb5da102e221efb873801b0ba85"},
{file = "dataclasses_json-0.6.6.tar.gz", hash = "sha256:0c09827d26fffda27f1be2fed7a7a01a29c5ddcd2eb6393ad5ebf9d77e9deae8"},
]
[package.dependencies]
@ -558,50 +558,58 @@ files = [
[[package]]
name = "duckdb"
version = "0.9.2"
description = "DuckDB embedded database"
version = "0.10.2"
description = "DuckDB in-process database"
optional = false
python-versions = ">=3.7.0"
files = [
{file = "duckdb-0.9.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:aadcea5160c586704c03a8a796c06a8afffbefefb1986601104a60cb0bfdb5ab"},
{file = "duckdb-0.9.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:08215f17147ed83cbec972175d9882387366de2ed36c21cbe4add04b39a5bcb4"},
{file = "duckdb-0.9.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ee6c2a8aba6850abef5e1be9dbc04b8e72a5b2c2b67f77892317a21fae868fe7"},
{file = "duckdb-0.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1ff49f3da9399900fd58b5acd0bb8bfad22c5147584ad2427a78d937e11ec9d0"},
{file = "duckdb-0.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dd5ac5baf8597efd2bfa75f984654afcabcd698342d59b0e265a0bc6f267b3f0"},
{file = "duckdb-0.9.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:81c6df905589a1023a27e9712edb5b724566587ef280a0c66a7ec07c8083623b"},
{file = "duckdb-0.9.2-cp310-cp310-win32.whl", hash = "sha256:a298cd1d821c81d0dec8a60878c4b38c1adea04a9675fb6306c8f9083bbf314d"},
{file = "duckdb-0.9.2-cp310-cp310-win_amd64.whl", hash = "sha256:492a69cd60b6cb4f671b51893884cdc5efc4c3b2eb76057a007d2a2295427173"},
{file = "duckdb-0.9.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:061a9ea809811d6e3025c5de31bc40e0302cfb08c08feefa574a6491e882e7e8"},
{file = "duckdb-0.9.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:a43f93be768af39f604b7b9b48891f9177c9282a408051209101ff80f7450d8f"},
{file = "duckdb-0.9.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ac29c8c8f56fff5a681f7bf61711ccb9325c5329e64f23cb7ff31781d7b50773"},
{file = "duckdb-0.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b14d98d26bab139114f62ade81350a5342f60a168d94b27ed2c706838f949eda"},
{file = "duckdb-0.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:796a995299878913e765b28cc2b14c8e44fae2f54ab41a9ee668c18449f5f833"},
{file = "duckdb-0.9.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:6cb64ccfb72c11ec9c41b3cb6181b6fd33deccceda530e94e1c362af5f810ba1"},
{file = "duckdb-0.9.2-cp311-cp311-win32.whl", hash = "sha256:930740cb7b2cd9e79946e1d3a8f66e15dc5849d4eaeff75c8788d0983b9256a5"},
{file = "duckdb-0.9.2-cp311-cp311-win_amd64.whl", hash = "sha256:c28f13c45006fd525001b2011cdf91fa216530e9751779651e66edc0e446be50"},
{file = "duckdb-0.9.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:fbce7bbcb4ba7d99fcec84cec08db40bc0dd9342c6c11930ce708817741faeeb"},
{file = "duckdb-0.9.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:15a82109a9e69b1891f0999749f9e3265f550032470f51432f944a37cfdc908b"},
{file = "duckdb-0.9.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9490fb9a35eb74af40db5569d90df8a04a6f09ed9a8c9caa024998c40e2506aa"},
{file = "duckdb-0.9.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:696d5c6dee86c1a491ea15b74aafe34ad2b62dcd46ad7e03b1d00111ca1a8c68"},
{file = "duckdb-0.9.2-cp37-cp37m-win32.whl", hash = "sha256:4f0935300bdf8b7631ddfc838f36a858c1323696d8c8a2cecbd416bddf6b0631"},
{file = "duckdb-0.9.2-cp37-cp37m-win_amd64.whl", hash = "sha256:0aab900f7510e4d2613263865570203ddfa2631858c7eb8cbed091af6ceb597f"},
{file = "duckdb-0.9.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:7d8130ed6a0c9421b135d0743705ea95b9a745852977717504e45722c112bf7a"},
{file = "duckdb-0.9.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:974e5de0294f88a1a837378f1f83330395801e9246f4e88ed3bfc8ada65dcbee"},
{file = "duckdb-0.9.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4fbc297b602ef17e579bb3190c94d19c5002422b55814421a0fc11299c0c1100"},
{file = "duckdb-0.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1dd58a0d84a424924a35b3772419f8cd78a01c626be3147e4934d7a035a8ad68"},
{file = "duckdb-0.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:11a1194a582c80dfb57565daa06141727e415ff5d17e022dc5f31888a5423d33"},
{file = "duckdb-0.9.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:be45d08541002a9338e568dca67ab4f20c0277f8f58a73dfc1435c5b4297c996"},
{file = "duckdb-0.9.2-cp38-cp38-win32.whl", hash = "sha256:dd6f88aeb7fc0bfecaca633629ff5c986ac966fe3b7dcec0b2c48632fd550ba2"},
{file = "duckdb-0.9.2-cp38-cp38-win_amd64.whl", hash = "sha256:28100c4a6a04e69aa0f4a6670a6d3d67a65f0337246a0c1a429f3f28f3c40b9a"},
{file = "duckdb-0.9.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7ae5bf0b6ad4278e46e933e51473b86b4b932dbc54ff097610e5b482dd125552"},
{file = "duckdb-0.9.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e5d0bb845a80aa48ed1fd1d2d285dd352e96dc97f8efced2a7429437ccd1fe1f"},
{file = "duckdb-0.9.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4ce262d74a52500d10888110dfd6715989926ec936918c232dcbaddb78fc55b4"},
{file = "duckdb-0.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6935240da090a7f7d2666f6d0a5e45ff85715244171ca4e6576060a7f4a1200e"},
{file = "duckdb-0.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a5cfb93e73911696a98b9479299d19cfbc21dd05bb7ab11a923a903f86b4d06e"},
{file = "duckdb-0.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:64e3bc01751f31e7572d2716c3e8da8fe785f1cdc5be329100818d223002213f"},
{file = "duckdb-0.9.2-cp39-cp39-win32.whl", hash = "sha256:6e5b80f46487636368e31b61461940e3999986359a78660a50dfdd17dd72017c"},
{file = "duckdb-0.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:e6142a220180dbeea4f341708bd5f9501c5c962ce7ef47c1cadf5e8810b4cb13"},
{file = "duckdb-0.9.2.tar.gz", hash = "sha256:3843afeab7c3fc4a4c0b53686a4cc1d9cdbdadcbb468d60fef910355ecafd447"},
{file = "duckdb-0.10.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3891d3ac03e12a3e5c43afa3020fe701f64060f52d25f429a1ed7b5d914368d3"},
{file = "duckdb-0.10.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4f63877651f1fb940e049dc53038eb763856616319acf4f892b1c3ed074f5ab0"},
{file = "duckdb-0.10.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:06e3a36f04f4d98d2c0bbdd63e517cfbe114a795306e26ec855e62e076af5043"},
{file = "duckdb-0.10.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cf5f95ad5b75c8e65c6508b4df02043dd0b9d97712b9a33236ad77c388ce7861"},
{file = "duckdb-0.10.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ff62bc98278c98fecbd6eecec5d698ad41ebd654110feaadbf8ac8bb59b1ecf"},
{file = "duckdb-0.10.2-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cceede13fde095c23cf9a53adf7c414c7bfb21b9a7aa6a4836014fdbecbfca70"},
{file = "duckdb-0.10.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:acdfff60b7efccd7f731213a9795851256249dfacf80367074b2b2e144f716dd"},
{file = "duckdb-0.10.2-cp310-cp310-win_amd64.whl", hash = "sha256:4a5d5655cf0bdaf664a6f332afe465e02b08cef715548a0983bb7aef48da06a6"},
{file = "duckdb-0.10.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:a9d15842876d18763e085648656cccc7660a215d16254906db5c4471be2c7732"},
{file = "duckdb-0.10.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c88cdcdc8452c910e4298223e7d9fca291534ff5aa36090aa49c9e6557550b13"},
{file = "duckdb-0.10.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:364cd6f5dc8a1010d144d08c410ba9a74c521336ee5bda84fabc6616216a6d6a"},
{file = "duckdb-0.10.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4c57c11d1060296f5e9ebfb5bb7e5521e0d77912e8f9ff43c90240c3311e9de9"},
{file = "duckdb-0.10.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:186d86b8dda8e1076170eb770bb2bb73ea88ca907d92885c9695d6515207b205"},
{file = "duckdb-0.10.2-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f65b62f31c6bff21afc0261cfe28d238b8f34ec78f339546b12f4740c39552a"},
{file = "duckdb-0.10.2-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a860d7466a5c93714cdd94559ce9e1db2ab91914f0941c25e5e93d4ebe36a5fa"},
{file = "duckdb-0.10.2-cp311-cp311-win_amd64.whl", hash = "sha256:33308190e9c7f05a3a0a2d46008a043effd4eae77011869d7c18fb37acdd9215"},
{file = "duckdb-0.10.2-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:3a8b2f1229b4aecb79cd28ffdb99032b1497f0a805d0da1136a9b6115e1afc70"},
{file = "duckdb-0.10.2-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:d23a6dea61963733a0f45a0d0bbb1361fb2a47410ed5ff308b4a1f869d4eeb6f"},
{file = "duckdb-0.10.2-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:20ee0aa27e688aa52a40b434ec41a50431d0b06edeab88edc2feaca18d82c62c"},
{file = "duckdb-0.10.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:80a6d43d9044f0997a15a92e0c0ff3afd21151a1e572a92f439cc4f56b7090e1"},
{file = "duckdb-0.10.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6934758cacd06029a5c9f54556a43bd277a86757e22bf8d0dd11ca15c1813d1c"},
{file = "duckdb-0.10.2-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7a11e2d68bd79044eea5486b1cddb5b915115f537e5c74eeb94c768ce30f9f4b"},
{file = "duckdb-0.10.2-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0bf58385c43b8e448a2fea7e8729054934bf73ea616d1d7ef8184eda07f975e2"},
{file = "duckdb-0.10.2-cp312-cp312-win_amd64.whl", hash = "sha256:eae75c7014597ded6e7f6dc51e32d48362a31608acd73e9f795748ee94335a54"},
{file = "duckdb-0.10.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:62e89deff778a7a86f651802b947a3466425f6cce41e9d7d412d39e492932943"},
{file = "duckdb-0.10.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f87e555fd36ec6da316b727a39fb24c53124a797dfa9b451bdea87b2f20a351f"},
{file = "duckdb-0.10.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:41e8b34b1a944590ebcf82f8cc59d67b084fe99479f048892d60da6c1402c386"},
{file = "duckdb-0.10.2-cp37-cp37m-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:2c68c6dde2773774cf2371522a3959ea2716fc2b3a4891d4066f0e426455fe19"},
{file = "duckdb-0.10.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:ff6a8a0980d0f9398fa461deffa59465dac190d707468478011ea8a5fe1f2c81"},
{file = "duckdb-0.10.2-cp37-cp37m-win_amd64.whl", hash = "sha256:728dd4ff0efda387a424754e5508d4f8c72a272c2d3ccb036a83286f60b46002"},
{file = "duckdb-0.10.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:c461d6b4619e80170044a9eb999bbf4097e330d3a4974ced0a7eaeb79c7c39f6"},
{file = "duckdb-0.10.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:909351ff72eb3b50b89761251148d8a186594d8a438e12dcf5494794caff6693"},
{file = "duckdb-0.10.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d9eeb8393d69abafd355b869669957eb85b89e4df677e420b9ef0693b7aa6cb4"},
{file = "duckdb-0.10.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3102bcf5011e8f82ea3c2bde43108774fe5a283a410d292c0843610ea13e2237"},
{file = "duckdb-0.10.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d64d443613e5f16caf7d67102733538c90f7715867c1a98597efd3babca068e3"},
{file = "duckdb-0.10.2-cp38-cp38-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cb31398826d1b7473344e5ee8e0f826370c9752549469ba1327042ace9041f80"},
{file = "duckdb-0.10.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d09dcec467cd6127d5cc1fb0ce4efbd77e761882d9d772b0f64fc2f79a2a1cde"},
{file = "duckdb-0.10.2-cp38-cp38-win_amd64.whl", hash = "sha256:82fab1a24faf7c33d8a7afed08b57ee36e8821a3a68a2f1574cd238ea440bba0"},
{file = "duckdb-0.10.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:38607e6e6618e8ea28c8d9b67aa9e22cfd6d6d673f2e8ab328bd6e867b697f69"},
{file = "duckdb-0.10.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:fb0c23bc8c09615bff38aebcf8e92e6ae74959c67b3c9e5b00edddc730bf22be"},
{file = "duckdb-0.10.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:00576c11c78c83830ab483bad968e07cd9b5f730e7ffaf5aa5fadee5ac4f71e9"},
{file = "duckdb-0.10.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:077db692cdda50c4684ef87dc2a68507665804caa90e539dbe819116bda722ad"},
{file = "duckdb-0.10.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ca25984ad9f9a04e46e8359f852668c11569534e3bb8424b80be711303ad2314"},
{file = "duckdb-0.10.2-cp39-cp39-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6a72cc40982c7b92cf555e574618fc711033b013bf258b611ba18d7654c89d8c"},
{file = "duckdb-0.10.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d27b9efd6e788eb561535fdc0cbc7c74aca1ff39f748b7cfc27aa49b00e22da1"},
{file = "duckdb-0.10.2-cp39-cp39-win_amd64.whl", hash = "sha256:4800469489bc262dda61a7f1d40acedf67cf2454874e9d8bbf07920dc2b147e6"},
{file = "duckdb-0.10.2.tar.gz", hash = "sha256:0f609c9d5f941f1ecde810f010dd9321cd406a552c1df20318a13fa64247f67f"},
]
[[package]]
@ -1023,22 +1031,21 @@ files = [
[[package]]
name = "langchain"
version = "0.1.17"
version = "0.1.19"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain-0.1.17-py3-none-any.whl", hash = "sha256:f6c5b5fdb529545e6cafbb4ba099031508e621ba1ed7985cf078a597ade3458b"},
{file = "langchain-0.1.17.tar.gz", hash = "sha256:709b80afa00ae634dfc7042f3e4c20309267b21ffeacc7d7494d58bcae1862f7"},
{file = "langchain-0.1.19-py3-none-any.whl", hash = "sha256:a1270b70139344a09f91c8a1b117c4300d9920d6d88aaaaf5ba729625ac68801"},
{file = "langchain-0.1.19.tar.gz", hash = "sha256:7d2ffb66944a84dcac99901c4fd33f6d92aa7f794d17b5ba9a29c55a7306e32c"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
dataclasses-json = ">=0.5.7,<0.7"
jsonpatch = ">=1.33,<2.0"
langchain-community = ">=0.0.36,<0.1"
langchain-core = ">=0.1.48,<0.2.0"
langchain-community = ">=0.0.38,<0.1"
langchain-core = ">=0.1.52,<0.2.0"
langchain-text-splitters = ">=0.0.1,<0.1"
langsmith = ">=0.1.17,<0.2.0"
numpy = ">=1,<2"
@ -1064,19 +1071,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
[[package]]
name = "langchain-community"
version = "0.0.37"
version = "0.0.38"
description = "Community contributed LangChain integrations."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_community-0.0.37-py3-none-any.whl", hash = "sha256:52e8557602dc099c2e236ec8a0599a956e2f08cfeb61e501815f5ec2d8545747"},
{file = "langchain_community-0.0.37.tar.gz", hash = "sha256:db2b5829bb20bc5b04c126b69143dbc31a880e949e94110c236b2c176906889f"},
{file = "langchain_community-0.0.38-py3-none-any.whl", hash = "sha256:ecb48660a70a08c90229be46b0cc5f6bc9f38f2833ee44c57dfab9bf3a2c121a"},
{file = "langchain_community-0.0.38.tar.gz", hash = "sha256:127fc4b75bc67b62fe827c66c02e715a730fef8fe69bd2023d466bab06b5810d"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
dataclasses-json = ">=0.5.7,<0.7"
langchain-core = ">=0.1.51,<0.2.0"
langchain-core = ">=0.1.52,<0.2.0"
langsmith = ">=0.1.0,<0.2.0"
numpy = ">=1,<2"
PyYAML = ">=5.3"
@ -1112,18 +1119,18 @@ extended-testing = ["jinja2 (>=3,<4)"]
[[package]]
name = "langchain-experimental"
version = "0.0.57"
version = "0.0.58"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_experimental-0.0.57-py3-none-any.whl", hash = "sha256:96479a2d45a35722cf2fe49655639e91d3fff5ccaba498cda32b088d5b184325"},
{file = "langchain_experimental-0.0.57.tar.gz", hash = "sha256:d1fb452aa1f04f32f0e08b83b083f35552f4ece1077c5bdcf86327f56f1758b5"},
{file = "langchain_experimental-0.0.58-py3-none-any.whl", hash = "sha256:106d3bc7df3dd20687378db7534c2fc21e2589201d43de42f832a1e3913dd55b"},
{file = "langchain_experimental-0.0.58.tar.gz", hash = "sha256:8ef10ff6b39f44ef468f8f21beb3749957d2262ec64d05db2719934936ca0285"},
]
[package.dependencies]
langchain = ">=0.1.15,<0.2.0"
langchain-core = ">=0.1.41,<0.2.0"
langchain = ">=0.1.17,<0.2.0"
langchain-core = ">=0.1.52,<0.2.0"
[package.extras]
extended-testing = ["faker (>=19.3.1,<20.0.0)", "jinja2 (>=3,<4)", "pandas (>=2.0.1,<3.0.0)", "presidio-analyzer (>=2.2.352,<3.0.0)", "presidio-anonymizer (>=2.2.352,<3.0.0)", "sentence-transformers (>=2,<3)", "tabulate (>=0.9.0,<0.10.0)", "vowpal-wabbit-next (==0.6.0)"]
@ -1162,13 +1169,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
version = "0.1.54"
version = "0.1.56"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.54-py3-none-any.whl", hash = "sha256:e8ba2758dbdff0fccb35337c28a5ab641dd980b22e178d390b72a15c9ae9caff"},
{file = "langsmith-0.1.54.tar.gz", hash = "sha256:86f5a90e48303de897f37a893f8bb635eabdaf23e674099e8bc0f2e9ca2f8faf"},
{file = "langsmith-0.1.56-py3-none-any.whl", hash = "sha256:2f930e054ea8eccd8ff99f0f129ae7d2513973b2e706d5483f44ea9951a1dca0"},
{file = "langsmith-0.1.56.tar.gz", hash = "sha256:ff645b5bf16e2566740218ed6c048a1f8edbbedb4480a0d305a837ec71303fbf"},
]
[package.dependencies]
@ -1809,6 +1816,7 @@ files = [
numpy = [
{version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
{version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
{version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
]
python-dateutil = ">=2.8.2"
pytz = ">=2020.1"
@ -2891,5 +2899,5 @@ local = []
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "cd3479e6f463fcdce1bef948ca71952b0650d1d7f4891ba1bc873368cd4b095d"
python-versions = ">=3.10,<3.13"
content-hash = "200c17e119f7ba7fdb64de320bdf464c65daf06f62bcc41258b32247a99e3dc1"

4
src/backend/base/pyproject.toml
View file

@ -25,7 +25,7 @@ documentation = "https://docs.langflow.org"
langflow-base = "langflow.__main__:main"
[tool.poetry.dependencies]
python = ">=3.10,<3.12"
python = ">=3.10,<3.13"
fastapi = "^0.110.1"
httpx = "*"
uvicorn = "^0.29.0"
@ -52,7 +52,7 @@ docstring-parser = "^0.15"
python-jose = "^3.3.0"
pandas = "2.2.0"
multiprocess = "^0.70.14"
duckdb = "^0.9.2"
duckdb = "^0.10.2"
python-socketio = "^5.11.0"
python-docx = "^1.1.0"
jq = { version = "^1.7.0", markers = "sys_platform != 'win32'" }