merge dev on playground

src/backend/Dockerfile

@@ -1,4 +1,4 @@
-FROM logspace/backend_build as backend_build
+FROM langflowai/backend_build as backend_build
 
 FROM python:3.10-slim
 WORKDIR /app

src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py

@@ -0,0 +1,59 @@
+"""Fix nullable
+
+Revision ID: 6e7b581b5648
+Revises: 58b28437a398
+Create Date: 2024-04-30 09:17:45.024688
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "6e7b581b5648"
+down_revision: Union[str, None] = "58b28437a398"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    # ### commands auto generated by Alembic - please adjust! ###
+    columns = inspector.get_columns("apikey")
+    column_names = {column["name"]: column for column in columns}
+    with op.batch_alter_table("apikey", schema=None) as batch_op:
+        created_at_column = [column for column in columns if column["name"] == "created_at"][0]
+        if "created_at" in column_names and created_at_column.get("nullable"):
+            batch_op.alter_column(
+                "created_at",
+                existing_type=sa.DATETIME(),
+                nullable=False,
+                existing_server_default=sa.text("(CURRENT_TIMESTAMP)"),  # type: ignore
+            )
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    table_names = inspector.get_table_names()
+    columns = inspector.get_columns("apikey")
+    column_names = {column["name"]: column for column in columns}
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("apikey", schema=None) as batch_op:
+        created_at_column = [column for column in columns if column["name"] == "created_at"][0]
+        if "created_at" in column_names and not created_at_column.get("nullable"):
+            batch_op.alter_column(
+                "created_at",
+                existing_type=sa.DATETIME(),
+                nullable=True,
+                existing_server_default=sa.text("(CURRENT_TIMESTAMP)"),  # type: ignore
+            )
+
+    # ### end Alembic commands ###

src/backend/base/langflow/api/v1/schemas.py

@@ -26,7 +26,7 @@ class BuildStatus(Enum):
 
 
 class TweaksRequest(BaseModel):
-    tweaks: Optional[Dict[str, Dict[str, str]]] = Field(default_factory=dict)
+    tweaks: Optional[Dict[str, Dict[str, Any]]] = Field(default_factory=dict)
 
 
 class UpdateTemplateRequest(BaseModel):

src/backend/base/langflow/components/experimental/TextOperator.py

@@ -0,0 +1,55 @@
+from langflow.interface.custom.custom_component import CustomComponent
+from langflow.schema import Record
+from langflow.field_typing import Text
+
+class TextOperatorComponent(CustomComponent):
+    display_name = "Text Operator"
+    description = "Compares two text inputs based on a specified condition such as equality or inequality, with optional case sensitivity."
+
+    def build_config(self) -> dict:
+        return {
+            "input_text": {
+                "display_name": "Input Text",
+                "info": "The primary text input for the operation.",
+            },
+            "match_text": {
+                "display_name": "Match Text",
+                "info": "The text input to compare against.",
+            },
+            "operator": {
+                "display_name": "Operator",
+                "info": "The operator to apply for comparing the texts.",
+                "options": ["equals", "not equals", "contains", "starts with", "ends with"],
+            },
+            "case_sensitive": {
+                "display_name": "Case Sensitive",
+                "info": "If true, the comparison will be case sensitive.",
+                "field_type": "bool",
+                "default": False,
+            }
+        }
+
+    def build(self, input_text: Text, match_text: Text, operator: Text, case_sensitive: bool = False) -> Text:
+        if not input_text or not match_text:
+            raise ValueError("Both 'input_text' and 'match_text' must be provided and non-empty.")
+
+        if not case_sensitive:
+            input_text = input_text.lower()
+            match_text = match_text.lower()
+
+        result = False
+        if operator == "equals":
+            result = input_text == match_text
+        elif operator == "not equals":
+            result = input_text != match_text
+        elif operator == "contains":
+            result = match_text in input_text
+        elif operator == "starts with":
+            result = input_text.startswith(match_text)
+        elif operator == "ends with":
+            result = input_text.endswith(match_text)
+
+        if not result:
+            self.stop()
+        self.status = f"{result} \n\n {input_text}"
+        return input_text

src/backend/base/langflow/components/helpers/CombineTextsUnsorted.py

@@ -0,0 +1,25 @@
+from langflow.interface.custom.custom_component import CustomComponent
+from langflow.field_typing import Text
+
+
+class CombineTextsUnsortedComponent(CustomComponent):
+    display_name = "Combine Texts (Unsorted)"
+    description = "Concatenate text sources into a single text chunk using a specified delimiter."
+    icon = "merge"
+
+    def build_config(self):
+        return {
+            "texts": {
+                "display_name": "Texts",
+                "info": "The first text input to concatenate.",
+            },
+            "delimiter": {
+                "display_name": "Delimiter",
+                "info": "A string used to separate the two text inputs. Defaults to a whitespace.",
+            },
+        }
+
+    def build(self, texts: list[str], delimiter: str = " ") -> Text:
+        combined = delimiter.join(texts)
+        self.status = combined
+        return combined

src/backend/base/langflow/components/helpers/ShouldRunNext.py

@@ -0,0 +1,30 @@
+from langchain_core.messages import BaseMessage
+from langchain_core.prompts import PromptTemplate
+
+from langflow.custom import CustomComponent
+from langflow.field_typing import BaseLanguageModel, Text
+
+
+class ShouldRunNextComponent(CustomComponent):
+    display_name = "Should Run Next"
+    description = "Determines if a vertex is runnable."
+
+    def build(self, llm: BaseLanguageModel, question: str, context: str, retries: int = 3) -> Text:
+        template = "Given the following question and the context below, answer with a yes or no.\n\n{error_message}\n\nQuestion: {question}\n\nContext: {context}\n\nAnswer:"
+
+        prompt = PromptTemplate.from_template(template)
+        chain = prompt | llm
+        error_message = ""
+        for i in range(retries):
+            result = chain.invoke(dict(question=question, context=context, error_message=error_message))
+            if isinstance(result, BaseMessage):
+                content = result.content
+            elif isinstance(result, str):
+                content = result
+            if isinstance(content, str) and content.lower().strip() in ["yes", "no"]:
+                break
+        condition = str(content).lower().strip() == "yes"
+        self.status = f"Should Run Next: {condition}"
+        if condition is False:
+            self.stop()
+        return context

src/backend/base/langflow/config.yaml

@@ -232,3 +232,4 @@ output_parsers:
 custom_components:
   CustomComponent:
     documentation: "https://docs.langflow.org/guidelines/custom-component"
+    # documentation: "https://docs.langflow.org/administration/custom-component"

src/backend/base/langflow/graph/graph/base.py

@@ -3,7 +3,7 @@ import uuid
 from collections import defaultdict, deque
 from functools import partial
 from itertools import chain
-from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Type, Union
+from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Tuple, Type, Union
 
 from loguru import logger
 
@@ -14,7 +14,7 @@ from langflow.graph.graph.state_manager import GraphStateManager
 from langflow.graph.graph.utils import process_flow
 from langflow.graph.schema import InterfaceComponentTypes, RunOutputs
 from langflow.graph.vertex.base import Vertex
-from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, RoutingVertex, StateVertex, ToolkitVertex
+from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, StateVertex, ToolkitVertex
 from langflow.interface.tools.constants import FILE_TOOLS
 from langflow.schema import Record
 from langflow.schema.schema import INPUT_FIELD_NAME, InputType
@@ -75,7 +75,7 @@ class Graph:
         self.vertices: List[Vertex] = []
         self.run_manager = RunnableVerticesManager()
         self._build_graph()
-        self.build_graph_maps()
+        self.build_graph_maps(self.edges)
         self.define_vertices_lists()
         self.state_manager = GraphStateManager()
 
@@ -130,6 +130,18 @@ class Graph:
             ):
                 vertices_ids.append(vertex_id)
                 successors = self.get_all_successors(vertex, flat=True)
+                # Update run_manager.run_predecessors because we are activating vertices
+                # The run_prdecessors is the predecessor map of the vertices
+                # we remove the vertex_id from the predecessor map whenever we run a vertex
+                # So we need to get all edges of the vertex and successors
+                # and run self.build_adjacency_maps(edges) to get the new predecessor map
+                # that is not complete but we can use to update the run_predecessors
+                edges_set = set()
+                for vertex in [vertex] + successors:
+                    edges_set.update(vertex.edges)
+                edges = list(edges_set)
+                new_predecessor_map, _ = self.build_adjacency_maps(edges)
+                self.run_manager.run_predecessors.update(new_predecessor_map)
                 self.vertices_to_run.update(list(map(lambda x: x.id, successors)))
         self.activated_vertices = vertices_ids
         self.vertices_to_run.update(vertices_ids)
@@ -401,14 +413,20 @@ class Graph:
             "inactivated_vertices": self.inactivated_vertices,
         }
 
-    def build_graph_maps(self):
+    def build_graph_maps(self, edges: Optional[List[ContractEdge]] = None, vertices: Optional[List[Vertex]] = None):
         """
         Builds the adjacency maps for the graph.
         """
-        self.predecessor_map, self.successor_map = self.build_adjacency_maps()
+        if edges is None:
+            edges = self.edges
 
-        self.in_degree_map = self.build_in_degree()
-        self.parent_child_map = self.build_parent_child_map()
+        if vertices is None:
+            vertices = self.vertices
+
+        self.predecessor_map, self.successor_map = self.build_adjacency_maps(edges)
+
+        self.in_degree_map = self.build_in_degree(edges)
+        self.parent_child_map = self.build_parent_child_map(vertices)
 
     def reset_inactivated_vertices(self):
         """
@@ -433,9 +451,9 @@ class Graph:
         for child_id in self.parent_child_map[vertex_id]:
             self.mark_branch(child_id, state)
 
-    def build_parent_child_map(self):
+    def build_parent_child_map(self, vertices: List[Vertex]):
         parent_child_map = defaultdict(list)
-        for vertex in self.vertices:
+        for vertex in vertices:
             parent_child_map[vertex.id] = [child.id for child in self.get_successors(vertex)]
         return parent_child_map
 
@@ -559,6 +577,7 @@ class Graph:
                 self.update_vertex_from_another(self_vertex, other_vertex)
 
         self.build_graph_maps()
+        self.define_vertices_lists()
         self.increment_update_count()
         return self
 
@@ -944,8 +963,6 @@ class Graph:
         node_name = node_id.split("-")[0]
         if node_name in ["ChatOutput", "ChatInput"]:
             return ChatVertex
-        elif node_name in ["ShouldRunNext"]:
-            return RoutingVertex
         elif node_name in ["SharedState", "Notify", "Listen"]:
             return StateVertex
         elif node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
@@ -1277,17 +1294,17 @@ class Graph:
     def remove_from_predecessors(self, vertex_id: str):
         self.run_manager.remove_from_predecessors(vertex_id)
 
-    def build_in_degree(self):
-        in_degree = defaultdict(int)
-        for edge in self.edges:
+    def build_in_degree(self, edges: List[ContractEdge]) -> Dict[str, int]:
+        in_degree: Dict[str, int] = defaultdict(int)
+        for edge in edges:
             in_degree[edge.target_id] += 1
         return in_degree
 
-    def build_adjacency_maps(self):
+    def build_adjacency_maps(self, edges: List[ContractEdge]) -> Tuple[Dict[str, List[str]], Dict[str, List[str]]]:
         """Returns the adjacency maps for the graph."""
         predecessor_map = defaultdict(list)
         successor_map = defaultdict(list)
-        for edge in self.edges:
+        for edge in edges:
             predecessor_map[edge.target_id].append(edge.source_id)
             successor_map[edge.source_id].append(edge.target_id)
         return predecessor_map, successor_map

src/backend/base/langflow/graph/graph/constants.py

@@ -15,7 +15,6 @@ from langflow.interface.wrappers.base import wrapper_creator
 from langflow.utils.lazy_load import LazyLoadDictBase
 
 CHAT_COMPONENTS = ["ChatInput", "ChatOutput", "TextInput", "SessionID"]
-ROUTING_COMPONENTS = ["ShouldRunNext"]
 
 
 class VertexTypesDict(LazyLoadDictBase):
@@ -51,7 +50,6 @@ class VertexTypesDict(LazyLoadDictBase):
             **{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},
-            **{t: types.RoutingVertex for t in ROUTING_COMPONENTS},
         }
 
     def get_custom_component_vertex_type(self):

src/backend/base/langflow/graph/graph/runnable_vertices_manager.py

@@ -15,6 +15,7 @@ class RunnableVerticesManager:
 
     def is_vertex_runnable(self, vertex_id: str) -> bool:
         """Determines if a vertex is runnable."""
+
         return vertex_id in self.vertices_to_run and not self.run_predecessors.get(vertex_id)
 
     def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]:

src/backend/base/langflow/graph/vertex/base.py

@@ -72,7 +72,6 @@ class Vertex:
         self.load_from_db_fields: List[str] = []
         self.parent_is_top_level = False
         self.layer = None
-        self.should_run = True
         self.result: Optional[ResultData] = None
         try:
             self.is_interface_component = self.vertex_type in InterfaceComponentTypes

src/backend/base/langflow/graph/vertex/types.py

@@ -1,6 +1,7 @@
 import ast
 import json
 from typing import AsyncIterator, Callable, Dict, Iterator, List, Optional, Union
+
 import yaml
 from langchain_core.messages import AIMessage
 from loguru import logger
@@ -438,41 +439,6 @@ class ChatVertex(Vertex):
         return self.vertex_type == InterfaceComponentTypes.ChatInput and self.is_input
 
 
-class RoutingVertex(Vertex):
-    def __init__(self, data: Dict, graph):
-        super().__init__(data, graph=graph, base_type="custom_components")
-        self.use_result = True
-        self.steps = [self._build]
-
-    def _built_object_repr(self):
-        if self.artifacts and "repr" in self.artifacts:
-            return self.artifacts["repr"] or super()._built_object_repr()
-        return super()._built_object_repr()
-
-    @property
-    def successors_ids(self):
-        if isinstance(self._built_object, bool):
-            ids = super().successors_ids
-            if self._built_object:
-                return ids
-            return []
-        raise ValueError("RoutingVertex should return a boolean value.")
-
-    def _run(self, *args, **kwargs):
-        if self._built_object:
-            condition = self._built_object.get("condition")
-            result = self._built_object.get("result")
-            if condition is None:
-                raise ValueError("Condition is required for the routing vertex.")
-            if result is None:
-                raise ValueError("Result is required for the routing vertex.")
-            if condition is True:
-                self._built_result = result
-            else:
-                self.graph.mark_branch(self.id, "INACTIVE")
-                self._built_result = None
-
-
 class StateVertex(Vertex):
     def __init__(self, data: Dict, graph):
         super().__init__(data, graph=graph, base_type="custom_components")

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

@@ -87,6 +87,14 @@ class CustomComponent(Component):
         except Exception as e:
             raise ValueError(f"Error updating state: {e}")
 
+    def stop(self):
+        if not self.vertex:
+            raise ValueError("Vertex is not set")
+        try:
+            self.graph.mark_branch(self.vertex.id, "INACTIVE")
+        except Exception as e:
+            raise ValueError(f"Error stopping {self.display_name}: {e}")
+
     def append_state(self, name: str, value: Any):
         if not self.vertex:
             raise ValueError("Vertex is not set")

src/backend/base/langflow/main.py

@@ -53,6 +53,7 @@ def get_lifespan(fix_migration=False, socketio_server=None):
         except Exception as exc:
             if "langflow migration --fix" not in str(exc):
                 logger.error(exc)
+            raise
         # Shutdown message
         rprint("[bold red]Shutting down Langflow...[/bold red]")
         teardown_services()

src/backend/base/langflow/processing/load.py

@@ -3,6 +3,8 @@ from pathlib import Path
 from typing import List, Optional, Union
 
 from dotenv import load_dotenv
+from loguru import logger
+
 from langflow.graph import Graph
 from langflow.graph.schema import RunOutputs
 from langflow.processing.process import process_tweaks, run_graph
@@ -101,6 +103,12 @@ def run_flow_from_json(
         List[RunOutputs]: A list of RunOutputs objects representing the results of running the flow.
     """
     # Set all streaming to false
+    try:
+        import nest_asyncio  # type: ignore
+
+        nest_asyncio.apply()
+    except Exception as e:
+        logger.warning(f"Could not apply nest_asyncio: {e}")
     if tweaks is None:
         tweaks = {}
     tweaks["stream"] = False

src/backend/base/langflow/processing/process.py

@@ -1,5 +1,6 @@
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union
 
+
 from langchain.agents import AgentExecutor
 from langchain.schema import AgentAction
 from loguru import logger
@@ -13,6 +14,7 @@ from langflow.schema.graph import InputValue, Tweaks
 from langflow.schema.schema import INPUT_FIELD_NAME
 from langflow.services.session.service import SessionService
 
+
 if TYPE_CHECKING:
     from langflow.api.v1.schemas import InputValueRequest
 

src/backend/base/langflow/schema/graph.py

@@ -1,7 +1,8 @@
-from typing import List, Optional, Union
+from typing import Any, List, Optional, Union
+
+from pydantic import BaseModel, Field, RootModel
 
 from langflow.schema.schema import InputType
-from pydantic import BaseModel, Field, RootModel
 
 
 class InputValue(BaseModel):
@@ -14,7 +15,7 @@ class InputValue(BaseModel):
 
 
 class Tweaks(RootModel):
-    root: dict[str, Union[str, dict[str, str]]] = Field(
+    root: dict[str, Union[str, dict[str, Any]]] = Field(
         description="A dictionary of tweaks to adjust the flow's execution. Allows customizing flow behavior dynamically. All tweaks are overridden by the input values.",
     )
     model_config = {

src/backend/base/langflow/services/database/models/api_key/model.py

@@ -22,7 +22,7 @@ class ApiKeyBase(SQLModel):
 
 class ApiKey(ApiKeyBase, table=True):
     id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True)
-    created_at: datetime = Field(
+    created_at: Optional[datetime] = Field(
         default=None, sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
     )
     api_key: str = Field(index=True, unique=True)

src/backend/base/langflow/services/database/models/variable/model.py

@@ -25,7 +25,7 @@ class Variable(VariableBase, table=True):
         description="Unique ID for the variable",
     )
     # name is unique per user
-    created_at: datetime = Field(
+    created_at: Optional[datetime] = Field(
         default=None,
         sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=True),
         description="Creation time of the variable",

src/backend/base/langflow/services/database/service.py

@@ -133,7 +133,7 @@ class DatabaseService(Service):
         alembic_cfg = Config(stdout=buffer)
         # alembic_cfg.attributes["connection"] = session
         alembic_cfg.set_main_option("script_location", str(self.script_location))
-        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url.replace('%', '%%'))
+        alembic_cfg.set_main_option("sqlalchemy.url", self.database_url.replace("%", "%%"))
 
         should_initialize_alembic = False
         with Session(self.engine) as session:
@@ -170,9 +170,7 @@ class DatabaseService(Service):
         except util.exc.AutogenerateDiffsDetected as exc:
             logger.error(f"AutogenerateDiffsDetected: {exc}")
             if not fix:
-                raise RuntimeError(
-                    "Something went wrong running migrations. Please, run `langflow migration --fix`"
-                ) from exc
+                raise RuntimeError(f"There's a mismatch between the models and the database.\n{exc}")
 
         if fix:
             self.try_downgrade_upgrade_until_success(alembic_cfg)

src/backend/base/langflow/services/monitor/utils.py

@@ -101,10 +101,16 @@ def add_row_to_table(
         conn.execute(insert_sql, values)
     except Exception as e:
         # Log values types
+        column_error_message = ""
         for key, value in validated_dict.items():
             logger.error(f"{key}: {type(value)}")
+            if value in str(e):
+                column_error_message = f"Column: {key} Value: {value} Error: {e}"
 
-        logger.error(f"Error adding row to table: {e}")
+        if column_error_message:
+            logger.error(f"Error adding row to {table_name}: {column_error_message}")
+        else:
+            logger.error(f"Error adding row to {table_name}: {e}")
 
 
 async def log_message(

src/backend/base/poetry.lock

@@ -517,13 +517,13 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.4"
+version = "0.6.5"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = "<4.0,>=3.7"
 files = [
-    {file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"},
-    {file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"},
+    {file = "dataclasses_json-0.6.5-py3-none-any.whl", hash = "sha256:f49c77aa3a85cac5bf5b7f65f4790ca0d2be8ef4d92c75e91ba0103072788a39"},
+    {file = "dataclasses_json-0.6.5.tar.gz", hash = "sha256:1c287594d9fcea72dc42d6d3836cf14848c2dc5ce88f65ed61b36b57f515fe26"},
 ]
 
 [package.dependencies]
@@ -652,13 +652,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.110.2"
+version = "0.110.3"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.110.2-py3-none-any.whl", hash = "sha256:239403f2c0a3dda07a9420f95157a7f014ddb2b770acdbc984f9bdf3ead7afdb"},
-    {file = "fastapi-0.110.2.tar.gz", hash = "sha256:b53d673652da3b65e8cd787ad214ec0fe303cad00d2b529b86ce7db13f17518d"},
+    {file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"},
+    {file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"},
 ]
 
 [package.dependencies]
@@ -667,7 +667,7 @@ starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
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 [[package]]
 name = "frozenlist"
@@ -1064,19 +1064,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.0.34"
+version = "0.0.35"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 langsmith = ">=0.1.0,<0.2.0"
 numpy = ">=1,<2"
 PyYAML = ">=5.3"
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 [[package]]
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 python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
@@ -1162,13 +1162,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
 
 [[package]]
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+    {file = "lxml-4.9.2.tar.gz", hash = "sha256:2455cfaeb7ac70338b3257f41e21f0724f4b5b0c0e7702da67ee6c3640835b67"},
 ]
 
 [package.extras]
 cssselect = ["cssselect (>=0.7)"]
-html-clean = ["lxml-html-clean"]
 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
-source = ["Cython (>=3.0.10)"]
+source = ["Cython (>=0.29.7)"]
 
 [[package]]
 name = "mako"
@@ -2160,18 +2082,18 @@ six = ">=1.5"
 
 [[package]]
 name = "python-docx"
-version = "1.1.0"
+version = "1.1.1"
 description = "Create, read, and update Microsoft Word .docx files."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "python-docx-1.1.0.tar.gz", hash = "sha256:5829b722141cf1ab79aedf0c34d9fe9924b29764584c0f2164eb2b02dcdf17c9"},
-    {file = "python_docx-1.1.0-py3-none-any.whl", hash = "sha256:bac9773278098a1ddc43a52d84e22f5909c4a3080a624530b3ecb3771b07c6cd"},
+    {file = "python_docx-1.1.1-py3-none-any.whl", hash = "sha256:fc09412cef1a9ce7756d52376158f94f2a0edd0fc722da1d0a074f01d83e5021"},
+    {file = "python_docx-1.1.1.tar.gz", hash = "sha256:15473bd40a7c16d9367b0a4b2cbbab0a787904fa2f7cadae1ed6f96201dcbb66"},
 ]
 
 [package.dependencies]
-lxml = ">=3.1.0"
-typing-extensions = "*"
+lxml = ">=3.1.0,<=4.9.2"
+typing-extensions = ">=4.9.0"
 
 [[package]]
 name = "python-dotenv"

src/backend/base/pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow-base"
-version = "0.0.37"
+version = "0.0.41"
 description = "A Python package with a built-in web application"
 authors = ["Langflow <contact@langflow.org>"]
 maintainers = [