Merge remote-tracking branch 'origin/dev' into SessionManagment

2024-06-05 16:51:59 -03:00 · 2024-06-05 16:51:59 -03:00 · 79f998333f
commit 79f998333f
parent be919f1bca bcdc329d1d
254 changed files with 17491 additions and 16395 deletions
--- a/src/backend/base/langflow/main.py
+++ b/src/backend/base/langflow/main.py
@ -121,7 +121,7 @@ def run(
    ),
 ):
    """
-    Run the Langflow.
+    Run Langflow.
    """

    configure(log_level=log_level, log_file=log_file)
--- a/src/backend/base/langflow/alembic/script.py.mako
+++ b/src/backend/base/langflow/alembic/script.py.mako
@ -11,6 +11,7 @@ from alembic import op
 import sqlalchemy as sa
 import sqlmodel
 from sqlalchemy.engine.reflection import Inspector
+from langflow.utils import migration
 ${imports if imports else ""}

 # revision identifiers, used by Alembic.
@ -22,13 +23,9 @@ depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}

 def upgrade() -> None:
    conn = op.get_bind()
-    inspector = Inspector.from_engine(conn)  # type: ignore
-    table_names = inspector.get_table_names()
    ${upgrades if upgrades else "pass"}


 def downgrade() -> None:
    conn = op.get_bind()
-    inspector = Inspector.from_engine(conn)  # type: ignore
-    table_names = inspector.get_table_names()
    ${downgrades if downgrades else "pass"}
--- a/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py
+++ b/src/backend/base/langflow/alembic/versions/1c79524817ed_add_unique_constraints_per_user_in_.py
@ -0,0 +1,42 @@
+"""Add unique constraints per user in folder table
+
+Revision ID: 1c79524817ed
+Revises: 3bb0ddf32dfb
+Create Date: 2024-05-29 23:12:09.146880
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "1c79524817ed"
+down_revision: Union[str, None] = "3bb0ddf32dfb"
+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
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("folder")]
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("folder", schema=None) as batch_op:
+        if "unique_folder_name" not in constraints_names:
+            batch_op.create_unique_constraint("unique_folder_name", ["user_id", "name"])
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("folder")]
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("folder", schema=None) as batch_op:
+        if "unique_folder_name" in constraints_names:
+            batch_op.drop_constraint("unique_folder_name", type_="unique")
+
+    # ### end Alembic commands ###
--- a/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py
+++ b/src/backend/base/langflow/alembic/versions/3bb0ddf32dfb_add_unique_constraints_per_user_in_flow_.py
@ -0,0 +1,54 @@
+"""Add unique constraints per user in flow table
+
+Revision ID: 3bb0ddf32dfb
+Revises: a72f5cf9c2f9
+Create Date: 2024-05-29 23:08:43.935040
+
+"""
+
+from typing import Sequence, Union
+
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "3bb0ddf32dfb"
+down_revision: Union[str, None] = "a72f5cf9c2f9"
+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
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes_names = [index["name"] for index in inspector.get_indexes("flow")]
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "ix_flow_endpoint_name" in indexes_names:
+            batch_op.drop_index("ix_flow_endpoint_name")
+            batch_op.create_index(batch_op.f("ix_flow_endpoint_name"), ["endpoint_name"], unique=False)
+        if "unique_flow_endpoint_name" not in constraints_names:
+            batch_op.create_unique_constraint("unique_flow_endpoint_name", ["user_id", "endpoint_name"])
+        if "unique_flow_name" not in constraints_names:
+            batch_op.create_unique_constraint("unique_flow_name", ["user_id", "name"])
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    indexes_names = [index["name"] for index in inspector.get_indexes("flow")]
+    constraints_names = [constraint["name"] for constraint in inspector.get_unique_constraints("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "unique_flow_name" in constraints_names:
+            batch_op.drop_constraint("unique_flow_name", type_="unique")
+        if "unique_flow_endpoint_name" in constraints_names:
+            batch_op.drop_constraint("unique_flow_endpoint_name", type_="unique")
+        if "ix_flow_endpoint_name" in indexes_names:
+            batch_op.drop_index(batch_op.f("ix_flow_endpoint_name"))
+            batch_op.create_index("ix_flow_endpoint_name", ["endpoint_name"], unique=1)
+
+    # ### end Alembic commands ###
--- a/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py
+++ b/src/backend/base/langflow/alembic/versions/631faacf5da2_add_webhook_columns.py
@ -0,0 +1,45 @@
+"""Add webhook columns
+
+Revision ID: 631faacf5da2
+Revises: 1c79524817ed
+Create Date: 2024-04-22 15:14:43.454784
+
+"""
+
+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 = "631faacf5da2"
+down_revision: Union[str, None] = "1c79524817ed"
+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! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "flow" in table_names and "webhook" not in column_names:
+            batch_op.add_column(sa.Column("webhook", sa.Boolean(), nullable=True))
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> 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! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "flow" in table_names and "webhook" in column_names:
+            batch_op.drop_column("webhook")
+
+    # ### end Alembic commands ###
--- a/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py
+++ b/src/backend/base/langflow/alembic/versions/a72f5cf9c2f9_add_endpoint_name_col.py
@ -0,0 +1,52 @@
+"""Add endpoint name col
+
+Revision ID: a72f5cf9c2f9
+Revises: 29fe8f1f806b
+Create Date: 2024-05-29 21:44:04.240816
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+import sqlmodel
+from alembic import op
+from sqlalchemy.engine.reflection import Inspector
+
+# revision identifiers, used by Alembic.
+revision: str = "a72f5cf9c2f9"
+down_revision: Union[str, None] = "29fe8f1f806b"
+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
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    indexes = inspector.get_indexes("flow")
+    index_names = [index["name"] for index in indexes]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "endpoint_name" not in column_names:
+            batch_op.add_column(sa.Column("endpoint_name", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
+        if "ix_flow_endpoint_name" not in index_names:
+            batch_op.create_index(batch_op.f("ix_flow_endpoint_name"), ["endpoint_name"], unique=True)
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    conn = op.get_bind()
+    inspector = Inspector.from_engine(conn)  # type: ignore
+    # ### commands auto generated by Alembic - please adjust! ###
+    column_names = [column["name"] for column in inspector.get_columns("flow")]
+    indexes = inspector.get_indexes("flow")
+    index_names = [index["name"] for index in indexes]
+    with op.batch_alter_table("flow", schema=None) as batch_op:
+        if "ix_flow_endpoint_name" in index_names:
+            batch_op.drop_index(batch_op.f("ix_flow_endpoint_name"))
+        if "endpoint_name" in column_names:
+            batch_op.drop_column("endpoint_name")
+
+    # ### end Alembic commands ###
--- a/src/backend/base/langflow/api/v1/endpoints.py
+++ b/src/backend/base/langflow/api/v1/endpoints.py
@ -3,7 +3,7 @@ from typing import TYPE_CHECKING, Annotated, List, Optional, Union
 from uuid import UUID

 import sqlalchemy as sa
-from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status
+from fastapi import APIRouter, BackgroundTasks, Body, Depends, HTTPException, Request, UploadFile, status
 from loguru import logger
 from sqlmodel import Session, select

@ -22,11 +22,14 @@ from langflow.api.v1.schemas import (
 from langflow.custom import CustomComponent
 from langflow.custom.utils import build_custom_component_template
 from langflow.graph.graph.base import Graph
+from langflow.graph.schema import RunOutputs
+from langflow.helpers.flow import get_flow_by_id_or_endpoint_name
 from langflow.processing.process import process_tweaks, run_graph_internal
 from langflow.schema.graph import Tweaks
 from langflow.services.auth.utils import api_key_security, get_current_active_user
 from langflow.services.cache.utils import save_uploaded_file
 from langflow.services.database.models.flow import Flow
+from langflow.services.database.models.flow.utils import get_all_webhook_components_in_flow, get_flow_by_id
 from langflow.services.database.models.user.model import User
 from langflow.services.deps import get_session, get_session_service, get_settings_service, get_task_service
 from langflow.services.session.service import SessionService
@ -53,10 +56,70 @@ def get_all(
        raise HTTPException(status_code=500, detail=str(exc)) from exc


-@router.post("/run/{flow_id}", response_model=RunResponse, response_model_exclude_none=True)
+async def simple_run_flow(
+    db: Session,
+    flow: Flow,
+    input_request: SimplifiedAPIRequest,
+    session_service: SessionService,
+    stream: bool = False,
+    api_key_user: Optional[User] = None,
+):
+    try:
+        task_result: List[RunOutputs] = []
+        artifacts = {}
+        user_id = api_key_user.id if api_key_user else None
+        flow_id_str = str(flow.id)
+        if input_request.session_id:
+            session_data = await session_service.load_session(input_request.session_id, flow_id=flow_id_str)
+            graph, artifacts = session_data if session_data else (None, None)
+            if graph is None:
+                raise ValueError(f"Session {input_request.session_id} not found")
+        else:
+            if flow.data is None:
+                raise ValueError(f"Flow {flow_id_str} has no data")
+            graph_data = flow.data
+            graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream)
+            graph = Graph.from_payload(graph_data, flow_id=flow_id_str, user_id=str(user_id))
+        inputs = [
+            InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type)
+        ]
+        if input_request.output_component:
+            outputs = [input_request.output_component]
+        else:
+            outputs = [
+                vertex.id
+                for vertex in graph.vertices
+                if input_request.output_type == "debug"
+                or (
+                    vertex.is_output
+                    and (input_request.output_type == "any" or input_request.output_type in vertex.id.lower())
+                )
+            ]
+        task_result, session_id = await run_graph_internal(
+            graph=graph,
+            flow_id=flow_id_str,
+            session_id=input_request.session_id,
+            inputs=inputs,
+            outputs=outputs,
+            artifacts=artifacts,
+            session_service=session_service,
+            stream=stream,
+        )
+
+        return RunResponse(outputs=task_result, session_id=session_id)
+
+    except sa.exc.StatementError as exc:
+        # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
+        if "badly formed hexadecimal UUID string" in str(exc):
+            logger.error(f"Flow ID {flow_id_str} is not a valid UUID")
+            # This means the Flow ID is not a valid UUID which means it can't find the flow
+            raise ValueError(str(exc)) from exc
+
+
+@router.post("/run/{flow_id_or_name}", response_model=RunResponse, response_model_exclude_none=True)
 async def simplified_run_flow(
    db: Annotated[Session, Depends(get_session)],
-    flow_id: UUID,
+    flow: Annotated[Flow, Depends(get_flow_by_id_or_endpoint_name)],
    input_request: SimplifiedAPIRequest = SimplifiedAPIRequest(),
    stream: bool = False,
    api_key_user: User = Depends(api_key_security),
@ -67,7 +130,7 @@ async def simplified_run_flow(

    ### Parameters:
    - `db` (Session): Database session for executing queries.
-    - `flow_id` (str): Unique identifier of the flow to be executed.
+    - `flow_id_or_name` (str): ID or endpoint name of the flow to run.
    - `input_request` (SimplifiedAPIRequest): Request object containing input values, types, output selection, tweaks, and session ID.
    - `api_key_user` (User): User object derived from the provided API key, used for authentication.
    - `session_service` (SessionService): Service for managing flow sessions, essential for session reuse and caching.
@ -110,73 +173,21 @@ async def simplified_run_flow(

    This endpoint provides a powerful interface for executing flows with enhanced flexibility and efficiency, supporting a wide range of applications by allowing for dynamic input and output configuration along with performance optimizations through session management and caching.
    """
-    session_id = input_request.session_id
-
    try:
-        flow_id_str = str(flow_id)
-        artifacts = {}
-        if input_request.session_id:
-            session_data = await session_service.load_session(input_request.session_id, flow_id=flow_id_str)
-            graph, artifacts = session_data if session_data else (None, None)
-            if graph is None:
-                raise ValueError(f"Session {input_request.session_id} not found")
-        else:
-            # Get the flow that matches the flow_id and belongs to the user
-            # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first()
-            flow = db.exec(select(Flow).where(Flow.id == flow_id_str).where(Flow.user_id == api_key_user.id)).first()
-            if flow is None:
-                raise ValueError(f"Flow {flow_id_str} not found")
-
-            if flow.data is None:
-                raise ValueError(f"Flow {flow_id_str} has no data")
-            graph_data = flow.data
-
-            graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream)
-            graph = Graph.from_payload(graph_data, flow_id=flow_id_str, user_id=str(api_key_user.id))
-        inputs = [
-            InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type)
-        ]
-        # outputs is a list of all components that should return output
-        # we need to get them by checking their type
-        # if the output type is debug, we return all outputs
-        # if the output type is any, we return all outputs that are either chat or text
-        # if the output type is chat or text, we return only the outputs that match the type
-        if input_request.output_component:
-            outputs = [input_request.output_component]
-        else:
-            outputs = [
-                vertex.id
-                for vertex in graph.vertices
-                if input_request.output_type == "debug"
-                or (
-                    vertex.is_output
-                    and (input_request.output_type == "any" or input_request.output_type in vertex.id.lower())
-                )
-            ]
-        task_result, session_id = await run_graph_internal(
-            graph=graph,
-            flow_id=flow_id_str,
-            session_id=input_request.session_id,
-            inputs=inputs,
-            outputs=outputs,
-            artifacts=artifacts,
+        return await simple_run_flow(
+            db=db,
+            flow=flow,
+            input_request=input_request,
            session_service=session_service,
            stream=stream,
+            api_key_user=api_key_user,
        )

-        return RunResponse(outputs=task_result, session_id=session_id)
-    except sa.exc.StatementError as exc:
-        # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string')
-        if "badly formed hexadecimal UUID string" in str(exc):
-            logger.error(f"Flow ID {flow_id_str} is not a valid UUID")
-            # This means the Flow ID is not a valid UUID which means it can't find the flow
-            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
    except ValueError as exc:
-        if f"Flow {flow_id_str} not found" in str(exc):
-            logger.error(f"Flow {flow_id_str} not found")
-            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
-        elif f"Session {session_id} not found" in str(exc):
-            logger.error(f"Session {session_id} not found")
+        if "badly formed hexadecimal UUID string" in str(exc):
+            # This means the Flow ID is not a valid UUID which means it can't find the flow
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)) from exc
+        if "not found" in str(exc):
            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc
        else:
            logger.exception(exc)
@ -186,6 +197,68 @@ async def simplified_run_flow(
        raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc


+@router.post("/webhook/{flow_id}", response_model=dict, status_code=HTTPStatus.ACCEPTED)
+async def webhook_run_flow(
+    db: Annotated[Session, Depends(get_session)],
+    flow: Annotated[Flow, Depends(get_flow_by_id)],
+    request: Request,
+    background_tasks: BackgroundTasks,
+    session_service: SessionService = Depends(get_session_service),
+):
+    """
+    Run a flow using a webhook request.
+
+    Args:
+        db (Session): The database session.
+        request (Request): The incoming HTTP request.
+        background_tasks (BackgroundTasks): The background tasks manager.
+        session_service (SessionService, optional): The session service. Defaults to Depends(get_session_service).
+        flow (Flow, optional): The flow to be executed. Defaults to Depends(get_flow_by_id).
+
+    Returns:
+        dict: A dictionary containing the status of the task.
+
+    Raises:
+        HTTPException: If the flow is not found or if there is an error processing the request.
+    """
+    try:
+        logger.debug("Received webhook request")
+        data = await request.body()
+        if not data:
+            logger.error("Request body is empty")
+            raise ValueError(
+                "Request body is empty. You should provide a JSON payload containing the flow ID.",
+            )
+
+        # get all webhook components in the flow
+        webhook_components = get_all_webhook_components_in_flow(flow.data)
+        tweaks = {}
+        data_dict = await request.json()
+        for component in webhook_components:
+            tweaks[component["id"]] = {"data": data.decode() if isinstance(data, bytes) else data}
+        input_request = SimplifiedAPIRequest(
+            input_value=data_dict.get("input_value", ""),
+            input_type=data_dict.get("input_type", "chat"),
+            output_type=data_dict.get("output_type", "chat"),
+            tweaks=tweaks,
+            session_id=data_dict.get("session_id"),
+        )
+        logger.debug("Starting background task")
+        background_tasks.add_task(
+            simple_run_flow,
+            db=db,
+            flow=flow,
+            input_request=input_request,
+            session_service=session_service,
+        )
+        return {"message": "Task started in the background", "status": "in progress"}
+    except Exception as exc:
+        if "Flow ID is required" in str(exc) or "Request body is empty" in str(exc):
+            raise HTTPException(status_code=400, detail=str(exc)) from exc
+        logger.exception(exc)
+        raise HTTPException(status_code=500, detail=str(exc)) from exc
+
+
@router.post("/run/advanced/{flow_id}", response_model=RunResponse, response_model_exclude_none=True)
 async def experimental_run_flow(
    session: Annotated[Session, Depends(get_session)],
--- a/src/backend/base/langflow/api/v1/flows.py
+++ b/src/backend/base/langflow/api/v1/flows.py
@ -9,10 +9,11 @@ from loguru import logger
 from sqlmodel import Session, col, select

 from langflow.api.utils import remove_api_keys, validate_is_component
-from langflow.api.v1.schemas import FlowListCreate, FlowListIds, FlowListRead
+from langflow.api.v1.schemas import FlowListCreate, FlowListRead
 from langflow.initial_setup.setup import STARTER_FOLDER_NAME
 from langflow.services.auth.utils import get_current_active_user
 from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
+from langflow.services.database.models.flow.utils import get_webhook_component_in_flow
 from langflow.services.database.models.folder.constants import DEFAULT_FOLDER_NAME
 from langflow.services.database.models.folder.model import Folder
 from langflow.services.database.models.user.model import User
@ -57,8 +58,22 @@ def read_flows(
    current_user: User = Depends(get_current_active_user),
    session: Session = Depends(get_session),
    settings_service: "SettingsService" = Depends(get_settings_service),
+    remove_example_flows: bool = False,
 ):
-    """Read all flows."""
+    """
+    Retrieve a list of flows.
+
+    Args:
+        current_user (User): The current authenticated user.
+        session (Session): The database session.
+        settings_service (SettingsService): The settings service.
+        remove_example_flows (bool, optional): Whether to remove example flows. Defaults to False.
+
+
+    Returns:
+        List[Dict]: A list of flows in JSON format.
+    """
+
    try:
        auth_settings = settings_service.auth_settings
        if auth_settings.AUTO_LOGIN:
@ -73,15 +88,16 @@ def read_flows(
        flows = validate_is_component(flows)  # type: ignore
        flow_ids = [flow.id for flow in flows]
        # with the session get the flows that DO NOT have a user_id
-        try:
-            folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()
+        if not remove_example_flows:
+            try:
+                folder = session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()

-            example_flows = folder.flows if folder else []
-            for example_flow in example_flows:
-                if example_flow.id not in flow_ids:
-                    flows.append(example_flow)  # type: ignore
-        except Exception as e:
-            logger.error(e)
+                example_flows = folder.flows if folder else []
+                for example_flow in example_flows:
+                    if example_flow.id not in flow_ids:
+                        flows.append(example_flow)  # type: ignore
+            except Exception as e:
+                logger.error(e)
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e)) from e
    return [jsonable_encoder(flow) for flow in flows]
@ -120,30 +136,51 @@ def update_flow(
    settings_service=Depends(get_settings_service),
 ):
    """Update a flow."""
+    try:
+        db_flow = read_flow(
+            session=session,
+            flow_id=flow_id,
+            current_user=current_user,
+            settings_service=settings_service,
+        )
+        if not db_flow:
+            raise HTTPException(status_code=404, detail="Flow not found")
+        flow_data = flow.model_dump(exclude_unset=True)
+        if settings_service.settings.remove_api_keys:
+            flow_data = remove_api_keys(flow_data)
+        for key, value in flow_data.items():
+            if value is not None:
+                setattr(db_flow, key, value)
+        webhook_component = get_webhook_component_in_flow(db_flow.data)
+        db_flow.webhook = webhook_component is not None
+        db_flow.updated_at = datetime.now(timezone.utc)
+        if db_flow.folder_id is None:
+            default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
+            if default_folder:
+                db_flow.folder_id = default_folder.id
+        session.add(db_flow)
+        session.commit()
+        session.refresh(db_flow)
+        return db_flow
+    except Exception as e:
+        # If it is a validation error, return the error message
+        if hasattr(e, "errors"):
+            raise HTTPException(status_code=400, detail=str(e)) from e
+        elif "UNIQUE constraint failed" in str(e):
+            # Get the name of the column that failed
+            columns = str(e).split("UNIQUE constraint failed: ")[1].split(".")[1].split("\n")[0]
+            # UNIQUE constraint failed: flow.user_id, flow.name
+            # or UNIQUE constraint failed: flow.name
+            # if the column has id in it, we want the other column
+            column = columns.split(",")[1] if "id" in columns.split(",")[0] else columns.split(",")[0]

-    db_flow = read_flow(
-        session=session,
-        flow_id=flow_id,
-        current_user=current_user,
-        settings_service=settings_service,
-    )
-    if not db_flow:
-        raise HTTPException(status_code=404, detail="Flow not found")
-    flow_data = flow.model_dump(exclude_unset=True)
-    if settings_service.settings.remove_api_keys:
-        flow_data = remove_api_keys(flow_data)
-    for key, value in flow_data.items():
-        if value is not None:
-            setattr(db_flow, key, value)
-    db_flow.updated_at = datetime.now(timezone.utc)
-    if db_flow.folder_id is None:
-        default_folder = session.exec(select(Folder).where(Folder.name == DEFAULT_FOLDER_NAME)).first()
-        if default_folder:
-            db_flow.folder_id = default_folder.id
-    session.add(db_flow)
-    session.commit()
-    session.refresh(db_flow)
-    return db_flow
+            raise HTTPException(
+                status_code=400, detail=f"{column.capitalize().replace('_', ' ')} must be unique"
+            ) from e
+        elif isinstance(e, HTTPException):
+            raise e
+        else:
+            raise HTTPException(status_code=500, detail=str(e)) from e


@router.delete("/{flow_id}", status_code=200)
@ -221,9 +258,9 @@ async def download_file(
    return FlowListRead(flows=flows)


-@router.post("/multiple_delete/")
+@router.delete("/")
 async def delete_multiple_flows(
-    flow_ids: FlowListIds, user: User = Depends(get_current_active_user), db: Session = Depends(get_session)
+    flow_ids: List[UUID], user: User = Depends(get_current_active_user), db: Session = Depends(get_session)
 ):
    """
    Delete multiple flows by their IDs.
@ -237,9 +274,7 @@ async def delete_multiple_flows(

    """
    try:
-        deleted_flows = db.exec(
-            select(Flow).where(col(Flow.id).in_(flow_ids.flow_ids)).where(Flow.user_id == user.id)
-        ).all()
+        deleted_flows = db.exec(select(Flow).where(col(Flow.id).in_(flow_ids)).where(Flow.user_id == user.id)).all()
        for flow in deleted_flows:
            db.delete(flow)
        db.commit()
--- a/src/backend/base/langflow/api/v1/folders.py
+++ b/src/backend/base/langflow/api/v1/folders.py
@ -1,5 +1,4 @@
 from typing import List
-from uuid import UUID

 import orjson
 from fastapi import APIRouter, Depends, File, HTTPException, Response, UploadFile, status
@ -88,7 +87,7 @@ def read_folders(
 def read_folder(
    *,
    session: Session = Depends(get_session),
-    folder_id: UUID,
+    folder_id: str,
    current_user: User = Depends(get_current_active_user),
 ):
    try:
@ -106,7 +105,7 @@ def read_folder(
 def update_folder(
    *,
    session: Session = Depends(get_session),
-    folder_id: UUID,
+    folder_id: str,
    folder: FolderUpdate,  # Assuming FolderUpdate is a Pydantic model defining updatable fields
    current_user: User = Depends(get_current_active_user),
 ):
@ -155,7 +154,7 @@ def update_folder(
 def delete_folder(
    *,
    session: Session = Depends(get_session),
-    folder_id: UUID,
+    folder_id: str,
    current_user: User = Depends(get_current_active_user),
 ):
    try:
@ -177,7 +176,7 @@ def delete_folder(
 async def download_file(
    *,
    session: Session = Depends(get_session),
-    folder_id: UUID,
+    folder_id: str,
    current_user: User = Depends(get_current_active_user),
 ):
    """Download all flows from folder."""
--- a/src/backend/base/langflow/api/v1/login.py
+++ b/src/backend/base/langflow/api/v1/login.py
@ -73,8 +73,7 @@ async def login_to_get_access_token(
 async def auto_login(
    response: Response,
    db: Session = Depends(get_session),
-    settings_service=Depends(get_settings_service),
-    variable_service: VariableService = Depends(get_variable_service),
+    settings_service=Depends(get_settings_service)
 ):
    auth_settings = settings_service.auth_settings
    if settings_service.auth_settings.AUTO_LOGIN:
@ -88,8 +87,7 @@ async def auto_login(
            expires=None,  # Set to None to make it a session cookie
            domain=auth_settings.COOKIE_DOMAIN,
        )
-        variable_service.initialize_user_variables(user_id, db)
-        create_default_folder_if_it_doesnt_exist(db, user_id)
+
        return tokens

    raise HTTPException(
--- a/src/backend/base/langflow/base/curl/init.py
+++ b/src/backend/base/langflow/base/curl/init.py
--- a/src/backend/base/langflow/base/curl/parse.py
+++ b/src/backend/base/langflow/base/curl/parse.py
@ -0,0 +1,89 @@
+"""
+This file contains a fix for the implementation of the `uncurl` library, which is available at https://github.com/spulec/uncurl.git.
+
+The `uncurl` library provides a way to parse and convert cURL commands into Python requests. However, there are some issues with the original implementation that this file aims to fix.
+
+The `parse_context` function in this file takes a cURL command as input and returns a `ParsedContext` object, which contains the parsed information from the cURL command, such as the HTTP method, URL, headers, cookies, etc.
+
+The `normalize_newlines` function is a helper function that replaces the line continuation character ("\") followed by a newline with a space.
+
+
+"""
+
+import re
+import shlex
+from collections import OrderedDict, namedtuple
+from http.cookies import SimpleCookie
+
+from uncurl.api import parser  # type: ignore
+
+parser.add_argument("-x", "--proxy", default={})
+parser.add_argument("-U", "--proxy-user", default="")
+
+ParsedContext = namedtuple("ParsedContext", ["method", "url", "data", "headers", "cookies", "verify", "auth", "proxy"])
+
+
+def normalize_newlines(multiline_text):
+    return multiline_text.replace(" \\\n", " ")
+
+
+def parse_context(curl_command):
+    method = "get"
+
+    tokens = shlex.split(normalize_newlines(curl_command))
+    tokens = [token for token in tokens if token and token != " "]
+    parsed_args = parser.parse_args(tokens)
+
+    post_data = parsed_args.data or parsed_args.data_binary
+    if post_data:
+        method = "post"
+
+    if parsed_args.X:
+        method = parsed_args.X.lower()
+
+    cookie_dict = OrderedDict()
+    quoted_headers = OrderedDict()
+
+    for curl_header in parsed_args.header:
+        if curl_header.startswith(":"):
+            occurrence = [m.start() for m in re.finditer(":", curl_header)]
+            header_key, header_value = curl_header[: occurrence[1]], curl_header[occurrence[1] + 1 :]
+        else:
+            header_key, header_value = curl_header.split(":", 1)
+
+        if header_key.lower().strip("$") == "cookie":
+            cookie = SimpleCookie(bytes(header_value, "ascii").decode("unicode-escape"))
+            for key in cookie:
+                cookie_dict[key] = cookie[key].value
+        else:
+            quoted_headers[header_key] = header_value.strip()
+
+    # add auth
+    user = parsed_args.user
+    if parsed_args.user:
+        user = tuple(user.split(":"))
+
+    # add proxy and its authentication if it's available.
+    proxies = parsed_args.proxy
+    # proxy_auth = parsed_args.proxy_user
+    if parsed_args.proxy and parsed_args.proxy_user:
+        proxies = {
+            "http": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
+            "https": "http://{}@{}/".format(parsed_args.proxy_user, parsed_args.proxy),
+        }
+    elif parsed_args.proxy:
+        proxies = {
+            "http": "http://{}/".format(parsed_args.proxy),
+            "https": "http://{}/".format(parsed_args.proxy),
+        }
+
+    return ParsedContext(
+        method=method,
+        url=parsed_args.url,
+        data=post_data,
+        headers=quoted_headers,
+        cookies=cookie_dict,
+        verify=parsed_args.insecure,
+        auth=user,
+        proxy=proxies,
+    )
--- a/src/backend/base/langflow/base/data/utils.py
+++ b/src/backend/base/langflow/base/data/utils.py
@ -3,7 +3,7 @@ import xml.etree.ElementTree as ET
 from concurrent import futures
 from pathlib import Path
 from typing import Callable, List, Optional, Text
-
+import chardet
 import yaml

 from langflow.schema.schema import Record
@ -89,7 +89,12 @@ def retrieve_file_paths(


 def read_text_file(file_path: str) -> str:
-    with open(file_path, "r") as f:
+    with open(file_path, "rb") as f:
+        raw_data = f.read()
+        result = chardet.detect(raw_data)
+        encoding = result['encoding']
+
+    with open(file_path, "r", encoding=encoding) as f:
        return f.read()


--- a/src/backend/base/langflow/components/data/APIRequest.py
+++ b/src/backend/base/langflow/components/data/APIRequest.py
@ -1,11 +1,15 @@
 import asyncio
 import json
-from typing import List, Optional
+from typing import Any, List, Optional

 import httpx
+from loguru import logger

+from langflow.base.curl.parse import parse_context
 from langflow.custom import CustomComponent
+from langflow.field_typing import NestedDict
 from langflow.schema import Record
+from langflow.schema.dotdict import dotdict


 class APIRequest(CustomComponent):
@ -17,10 +21,15 @@ class APIRequest(CustomComponent):

    field_config = {
        "urls": {"display_name": "URLs", "info": "URLs to make requests to."},
+        "curl": {
+            "display_name": "Curl",
+            "info": "Paste a curl command to populate the fields.",
+            "refresh_button": True,
+            "refresh_button_text": "",
+        },
        "method": {
            "display_name": "Method",
            "info": "The HTTP method to use.",
-            "field_type": "str",
            "options": ["GET", "POST", "PATCH", "PUT"],
            "value": "GET",
        },
@ -36,12 +45,33 @@ class APIRequest(CustomComponent):
        },
        "timeout": {
            "display_name": "Timeout",
-            "field_type": "int",
            "info": "The timeout to use for the request.",
            "value": 5,
        },
    }

+    def parse_curl(self, curl: str, build_config: dotdict) -> dotdict:
+        try:
+            parsed = parse_context(curl)
+            build_config["urls"]["value"] = [parsed.url]
+            build_config["method"]["value"] = parsed.method.upper()
+            build_config["headers"]["value"] = dict(parsed.headers)
+
+            try:
+                json_data = json.loads(parsed.data)
+                build_config["body"]["value"] = json_data
+            except json.JSONDecodeError as e:
+                print(e)
+        except Exception as exc:
+            logger.error(f"Error parsing curl: {exc}")
+            raise ValueError(f"Error parsing curl: {exc}")
+        return build_config
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        if field_name == "curl" and field_value is not None:
+            build_config = self.parse_curl(field_value, build_config)
+        return build_config
+
    async def make_request(
        self,
        client: httpx.AsyncClient,
@ -94,21 +124,25 @@ class APIRequest(CustomComponent):
        self,
        method: str,
        urls: List[str],
-        headers: Optional[Record] = None,
-        body: Optional[Record] = None,
+        curl: Optional[str] = None,
+        headers: Optional[NestedDict] = {},
+        body: Optional[NestedDict] = {},
        timeout: int = 5,
    ) -> List[Record]:
        if headers is None:
            headers_dict = {}
-        else:
+        elif isinstance(headers, Record):
            headers_dict = headers.data
+        else:
+            headers_dict = headers

        bodies = []
        if body:
-            if isinstance(body, list):
-                bodies = [b.data for b in body]
+            if not isinstance(body, list):
+                bodies = [body]
            else:
-                bodies = [body.data]
+                bodies = body
+            bodies = [b.data if isinstance(b, Record) else b for b in bodies]  # type: ignore

        if len(urls) != len(bodies):
            # add bodies with None
--- a/src/backend/base/langflow/components/data/Webhook.py
+++ b/src/backend/base/langflow/components/data/Webhook.py
@ -0,0 +1,39 @@
+import json
+import uuid
+from typing import Any, Optional
+
+from langflow.custom import CustomComponent
+from langflow.schema.dotdict import dotdict
+from langflow.schema.schema import Record
+
+
+class WebhookComponent(CustomComponent):
+    display_name = "Webhook Input"
+    description = "Defines a webhook input for the flow."
+
+    def update_build_config(self, build_config: dotdict, field_value: Any, field_name: str | None = None):
+        if field_name == "webhook_id":
+            build_config["webhook_id"]["value"] = uuid.uuid4().hex
+        return build_config
+
+    def build_config(self):
+        return {
+            "data": {
+                "display_name": "Data",
+                "info": "Use this field to quickly test the webhook component by providing a JSON payload.",
+                "multiline": True,
+            }
+        }
+
+    def build(self, data: Optional[str] = "") -> Record:
+        message = ""
+        try:
+            body = json.loads(data or "{}")
+        except json.JSONDecodeError:
+            body = {"payload": data}
+            message = f"Invalid JSON payload. Please check the format.\n\n{data}"
+        record = Record(data=body)
+        if not message:
+            message = json.dumps(body, indent=2)
+        self.status = message
+        return record
--- a/src/backend/base/langflow/components/data/init.py
+++ b/src/backend/base/langflow/components/data/init.py
@ -1,7 +1,8 @@
 from .APIRequest import APIRequest
 from .Directory import DirectoryComponent
 from .File import FileComponent
+from .Webhook import WebhookComponent

 from .URL import URLComponent

-__all__ = ["APIRequest", "DirectoryComponent", "FileComponent", "URLComponent"]
+__all__ = ["APIRequest", "DirectoryComponent", "FileComponent", "URLComponent", "WebhookComponent"]
--- a/src/backend/base/langflow/components/models/OpenAIModel.py
+++ b/src/backend/base/langflow/components/models/OpenAIModel.py
@ -78,7 +78,7 @@ class OpenAIModelComponent(LCModelComponent):
        self,
        input_value: Text,
        openai_api_key: str,
-        temperature: float,
+        temperature: float = 0.1,
        model_name: str = "gpt-4o",
        max_tokens: Optional[int] = 256,
        model_kwargs: NestedDict = {},
--- a/src/backend/base/langflow/components/vectorsearch/UpstashSearch.py
+++ b/src/backend/base/langflow/components/vectorsearch/UpstashSearch.py
@ -0,0 +1,79 @@
+from typing import List, Optional
+
+from langchain_core.embeddings import Embeddings
+
+from langflow.components.vectorstores.base.model import LCVectorStoreComponent
+from langflow.components.vectorstores.Upstash import UpstashVectorStoreComponent
+from langflow.field_typing import Text
+from langflow.schema import Record
+
+
+class UpstashSearchComponent(UpstashVectorStoreComponent, LCVectorStoreComponent):
+    """
+    A custom component for implementing a Vector Store using Upstash.
+    """
+
+    display_name: str = "Upstash Search"
+    description: str = "Search an Upstash Vector Store for similar documents."
+
+    def build_config(self):
+        """
+        Builds the configuration for the component.
+
+        Returns:
+        - dict: A dictionary containing the configuration options for the component.
+        """
+        return {
+            "search_type": {
+                "display_name": "Search Type",
+                "options": ["Similarity", "MMR"],
+            },
+            "input_value": {"display_name": "Input"},
+            "inputs": {"display_name": "Input", "input_types": ["Document", "Record"]},
+            "embedding": {
+                "display_name": "Embedding",
+                "input_types": ["Embeddings"],
+                "info": "To use Upstash's embeddings, don't provide an embedding.",
+            },
+            "index_url": {
+                "display_name": "Index URL",
+                "info": "The URL of the Upstash index.",
+            },
+            "index_token": {
+                "display_name": "Index Token",
+                "info": "The token for the Upstash index.",
+            },
+            "number_of_results": {
+                "display_name": "Number of Results",
+                "info": "Number of results to return.",
+                "advanced": True,
+            },
+            "text_key": {
+                "display_name": "Text Key",
+                "info": "The key in the record to use as text.",
+                "advanced": True,
+            },
+        }
+
+    def build(  # type: ignore[override]
+        self,
+        input_value: Text,
+        search_type: str,
+        text_key: str = "text",
+        index_url: Optional[str] = None,
+        index_token: Optional[str] = None,
+        embedding: Optional[Embeddings] = None,
+        number_of_results: int = 4,
+    ) -> List[Record]:
+        vector_store = super().build(
+            embedding=embedding,
+            text_key=text_key,
+            index_url=index_url,
+            index_token=index_token,
+        )
+        if not vector_store:
+            raise ValueError("Failed to load the Upstash Vector Store.")
+
+        return self.search_with_vector_store(
+            input_value=input_value, search_type=search_type, vector_store=vector_store, k=number_of_results
+        )
--- a/src/backend/base/langflow/components/vectorstores/Upstash.py
+++ b/src/backend/base/langflow/components/vectorstores/Upstash.py
@ -0,0 +1,89 @@
+from typing import List, Optional, Union
+
+from langchain_community.vectorstores.upstash import UpstashVectorStore
+from langchain_core.embeddings import Embeddings
+from langchain_core.retrievers import BaseRetriever
+from langchain_core.vectorstores import VectorStore
+
+from langflow.custom import CustomComponent
+from langflow.schema.schema import Record
+
+
+class UpstashVectorStoreComponent(CustomComponent):
+    """
+    A custom component for implementing a Vector Store using Upstash.
+    """
+
+    display_name: str = "Upstash"
+    description: str = "Create and Utilize an Upstash Vector Store"
+
+    def build_config(self):
+        """
+        Builds the configuration for the component.
+
+        Returns:
+        - dict: A dictionary containing the configuration options for the component.
+        """
+        return {
+            "inputs": {"display_name": "Input", "input_types": ["Document", "Record"]},
+            "embedding": {
+                "display_name": "Embedding",
+                "input_types": ["Embeddings"],
+                "info": "To use Upstash's embeddings, don't provide an embedding.",
+            },
+            "index_url": {
+                "display_name": "Index URL",
+                "info": "The URL of the Upstash index.",
+            },
+            "index_token": {
+                "display_name": "Index Token",
+                "info": "The token for the Upstash index.",
+            },
+            "text_key": {
+                "display_name": "Text Key",
+                "info": "The key in the record to use as text.",
+                "advanced": True,
+            },
+        }
+
+    def build(
+        self,
+        inputs: Optional[List[Record]] = None,
+        text_key: str = "text",
+        index_url: Optional[str] = None,
+        index_token: Optional[str] = None,
+        embedding: Optional[Embeddings] = None,
+    ) -> Union[VectorStore, BaseRetriever]:
+        documents = []
+        for _input in inputs or []:
+            if isinstance(_input, Record):
+                documents.append(_input.to_lc_document())
+            else:
+                documents.append(_input)
+
+        use_upstash_embedding = embedding is None
+        if not documents:
+            upstash_vs = UpstashVectorStore(
+                embedding=embedding or use_upstash_embedding,
+                text_key=text_key,
+                index_url=index_url,
+                index_token=index_token,
+            )
+        else:
+            if use_upstash_embedding:
+                upstash_vs = UpstashVectorStore(
+                    embedding=use_upstash_embedding,
+                    text_key=text_key,
+                    index_url=index_url,
+                    index_token=index_token,
+                )
+                upstash_vs.add_documents(documents)
+            elif embedding:
+                upstash_vs = UpstashVectorStore.from_documents(
+                    documents=documents,  # type: ignore
+                    embedding=embedding,
+                    text_key=text_key,
+                    index_url=index_url,
+                    index_token=index_token,
+                )
+        return upstash_vs
--- a/src/backend/base/langflow/custom/utils.py
+++ b/src/backend/base/langflow/custom/utils.py
@ -159,6 +159,11 @@ def add_new_custom_field(
    if field_type == "bool" and field_value is None:
        field_value = False

+    if field_type == "SecretStr":
+        field_config["password"] = True
+        field_config["load_from_db"] = True
+        field_config["input_types"] = ["Text"]
+
    # If options is a list, then it's a dropdown
    # If options is None, then it's a list of strings
    is_list = isinstance(field_config.get("options"), list)
--- a/src/backend/base/langflow/graph/graph/base.py
+++ b/src/backend/base/langflow/graph/graph/base.py
@ -20,6 +20,7 @@ from langflow.schema.schema import INPUT_FIELD_NAME, InputType
 from langflow.services.cache.utils import CacheMiss
 from langflow.services.chat.service import ChatService
 from langflow.services.deps import get_chat_service
+from langflow.services.monitor.utils import log_transaction

 if TYPE_CHECKING:
    from langflow.graph.schema import ResultData
@ -763,9 +764,11 @@ class Graph:
            next_runnable_vertices, top_level_vertices = await self.get_next_and_top_level_vertices(
                lock, set_cache_coro, vertex
            )
+            log_transaction(vertex, status="success")
            return next_runnable_vertices, top_level_vertices, result_dict, params, valid, artifacts, vertex
        except Exception as exc:
            logger.exception(f"Error building vertex: {exc}")
+            log_transaction(vertex, status="failure", error=str(exc))
            raise exc

    async def get_next_and_top_level_vertices(
--- a/src/backend/base/langflow/graph/vertex/base.py
+++ b/src/backend/base/langflow/graph/vertex/base.py
@ -696,7 +696,8 @@ class Vertex:

            self._finalize_build()

-        return await self.get_requester_result(requester)
+        result = await self.get_requester_result(requester)
+        return result

    async def get_requester_result(self, requester: Optional["Vertex"]):
        # If the requester is None, this means that
--- a/src/backend/base/langflow/helpers/flow.py
+++ b/src/backend/base/langflow/helpers/flow.py
@ -1,13 +1,14 @@
 from typing import TYPE_CHECKING, Any, Awaitable, Callable, List, Optional, Tuple, Type, Union, cast
 from uuid import UUID

+from fastapi import Depends, HTTPException
 from pydantic.v1 import BaseModel, Field, create_model
-from sqlmodel import select
+from sqlmodel import Session, select

 from langflow.graph.schema import RunOutputs
 from langflow.schema.schema import INPUT_FIELD_NAME, Record
-from langflow.services.database.models.flow.model import Flow
-from langflow.services.deps import session_scope
+from langflow.services.database.models.flow import Flow
+from langflow.services.deps import get_session, get_settings_service, session_scope

 if TYPE_CHECKING:
    from langflow.graph.graph.base import Graph
@ -87,7 +88,9 @@ async def run_flow(
        inputs_components.append(input_dict.get("components", []))
        types.append(input_dict.get("type", "chat"))

-    return await graph.arun(inputs_list, inputs_components=inputs_components, types=types)
+    fallback_to_env_vars = get_settings_service().settings.fallback_to_env_var
+
+    return await graph.arun(inputs_list, inputs_components=inputs_components, types=types, fallback_to_env_vars=fallback_to_env_vars)


 def generate_function_for_flow(
@ -235,3 +238,22 @@ def get_arg_names(inputs: List["Vertex"]) -> List[dict[str, str]]:
        {"component_name": input_.display_name, "arg_name": input_.display_name.lower().replace(" ", "_")}
        for input_ in inputs
    ]
+
+
+def get_flow_by_id_or_endpoint_name(
+    flow_id_or_name: str, db: Session = Depends(get_session), user_id: Optional[UUID] = None
+) -> Flow:
+    endpoint_name = None
+    try:
+        flow_id = UUID(flow_id_or_name)
+        flow = db.get(Flow, flow_id)
+    except ValueError:
+        endpoint_name = flow_id_or_name
+        stmt = select(Flow).where(Flow.name == endpoint_name)
+        if user_id:
+            stmt = stmt.where(Flow.user_id == user_id)
+        flow = db.exec(stmt).first()
+    if flow is None:
+        raise HTTPException(status_code=404, detail=f"Flow identifier {flow_id_or_name} not found")
+
+    return flow
--- a/src/backend/base/langflow/initial_setup/setup.py
+++ b/src/backend/base/langflow/initial_setup/setup.py
@ -1,7 +1,10 @@
+import logging
+import os
 from collections import defaultdict
 from copy import deepcopy
 from datetime import datetime, timezone
 from pathlib import Path
+from uuid import UUID

 import orjson
 from emoji import demojize, purely_emoji  # type: ignore
@ -10,10 +13,16 @@ from sqlmodel import select

 from langflow.base.constants import FIELD_FORMAT_ATTRIBUTES, NODE_FORMAT_ATTRIBUTES
 from langflow.interface.types import get_all_components
+from langflow.services.auth.utils import create_super_user
 from langflow.services.database.models.flow.model import Flow, FlowCreate
 from langflow.services.database.models.folder.model import Folder, FolderCreate
+from langflow.services.database.models.user.crud import get_user_by_username
 from langflow.services.deps import get_settings_service, session_scope

+from langflow.services.database.models.folder.utils import create_default_folder_if_it_doesnt_exist
+from langflow.services.deps import get_settings_service, session_scope, get_variable_service
+
+
 STARTER_FOLDER_NAME = "Starter Projects"
 STARTER_FOLDER_DESCRIPTION = "Starter projects to help you get started in Langflow."

@ -205,6 +214,63 @@ def create_starter_folder(session):
        return session.exec(select(Folder).where(Folder.name == STARTER_FOLDER_NAME)).first()


+def _is_valid_uuid(val):
+    try:
+        uuid_obj = UUID(val)
+    except ValueError:
+        return False
+    return str(uuid_obj) == val
+
+def load_flows_from_directory():
+    settings_service = get_settings_service()
+    flows_path = settings_service.settings.load_flows_path
+    if not flows_path:
+        return
+    if not settings_service.auth_settings.AUTO_LOGIN:
+        logging.warning("AUTO_LOGIN is disabled, not loading flows from directory")
+        return
+
+    with session_scope() as session:
+        user_id = get_user_by_username(session, settings_service.auth_settings.SUPERUSER).id
+        files = [f for f in os.listdir(flows_path) if os.path.isfile(os.path.join(flows_path, f))]
+        for filename in files:
+            if not filename.endswith(".json"):
+                continue
+            logger.info(f"Loading flow from file: {filename}")
+            with open(os.path.join(flows_path, filename), "r", encoding="utf-8") as file:
+                flow = orjson.loads(file.read())
+                no_json_name = filename.replace(".json", "")
+                flow_endpoint_name = flow.get("endpoint_name")
+                if _is_valid_uuid(no_json_name):
+                    flow["id"] = no_json_name
+                flow_id = flow.get("id")
+
+                existing = find_existing_flow(session, flow_id, flow_endpoint_name)
+                if existing:
+                    logger.info(f"Updating existing flow: {flow_id} with endpoint name {flow_endpoint_name}")
+                    for key, value in flow.items():
+                        setattr(existing, key, value)
+                    existing.updated_at = datetime.utcnow()
+                    existing.user_id = user_id
+                    session.add(existing)
+                    session.commit()
+                else:
+                    logger.info(f"Creating new flow: {flow_id} with endpoint name {flow_endpoint_name}")
+                    flow["user_id"] = user_id
+                    flow = Flow.model_validate(flow, from_attributes=True)
+                    flow.updated_at = datetime.utcnow()
+                    session.add(flow)
+                session.commit()
+
+def find_existing_flow(session, flow_id, flow_endpoint_name):
+    if flow_endpoint_name:
+        stmt = select(Flow).where(Flow.endpoint_name == flow_endpoint_name)
+        if existing := session.exec(stmt).first():
+            return existing
+    stmt = select(Flow).where(Flow.id == flow_id)
+    if existing := session.exec(stmt).first():
+        return existing
+    return None
 def create_or_update_starter_projects():
    components_paths = get_settings_service().settings.components_path
    try:
@ -249,3 +315,20 @@ def create_or_update_starter_projects():
                    project_icon_bg_color,
                    new_folder.id,
                )
+
+
+def initialize_super_user_if_needed():
+    settings_service = get_settings_service()
+    if not settings_service.auth_settings.AUTO_LOGIN:
+        return
+    username = settings_service.auth_settings.SUPERUSER
+    password = settings_service.auth_settings.SUPERUSER_PASSWORD
+    if not username or not password:
+        raise ValueError("SUPERUSER and SUPERUSER_PASSWORD must be set in the settings if AUTO_LOGIN is true.")
+
+    with session_scope() as session:
+        super_user = create_super_user(db=session, username=username, password=password)
+        get_variable_service().initialize_user_variables(super_user.id, session)
+        create_default_folder_if_it_doesnt_exist(session, super_user.id)
+        session.commit()
+        logger.info("Super user initialized")
--- a/src/backend/base/langflow/initial_setup/starter_projects/Basic
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow
--- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow
+++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow
--- a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
+++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
--- a/src/backend/base/langflow/load/init.py
+++ b/src/backend/base/langflow/load/init.py
@ -1,3 +1,4 @@
-from .load import load_flow_from_json, run_flow_from_json  # noqa: F401
+from .load import load_flow_from_json, run_flow_from_json
+from .utils import upload_file, get_flow

-__all__ = ["load_flow_from_json", "run_flow_from_json"]
+__all__ = ["load_flow_from_json", "run_flow_from_json", "upload_file", "get_flow"]
--- a/src/backend/base/langflow/load/utils.py
+++ b/src/backend/base/langflow/load/utils.py
@ -0,0 +1,89 @@
+import httpx
+
+from langflow.services.database.models.flow.model import FlowBase
+
+
+def upload(file_path, host, flow_id):
+    """
+    Upload a file to Langflow and return the file path.
+
+    Args:
+        file_path (str): The path to the file to be uploaded.
+        host (str): The host URL of Langflow.
+        flow_id (UUID): The ID of the flow to which the file belongs.
+
+    Returns:
+        dict: A dictionary containing the file path.
+
+    Raises:
+        Exception: If an error occurs during the upload process.
+    """
+    try:
+        url = f"{host}/api/v1/upload/{flow_id}"
+        response = httpx.post(url, files={"file": open(file_path, "rb")})
+        if response.status_code == 200:
+            return response.json()
+        else:
+            raise Exception(f"Error uploading file: {response.status_code}")
+    except Exception as e:
+        raise Exception(f"Error uploading file: {e}")
+
+
+def upload_file(file_path, host, flow_id, components, tweaks={}):
+    """
+    Upload a file to Langflow and return the file path.
+
+    Args:
+        file_path (str): The path to the file to be uploaded.
+        host (str): The host URL of Langflow.
+        port (int): The port number of Langflow.
+        flow_id (UUID): The ID of the flow to which the file belongs.
+        components (str): List of component IDs or names that need the file.
+        tweaks (dict): A dictionary of tweaks to be applied to the file.
+
+    Returns:
+        dict: A dictionary containing the file path and any tweaks that were applied.
+
+    Raises:
+        Exception: If an error occurs during the upload process.
+    """
+    try:
+        response = upload(file_path, host, flow_id)
+        if response["file_path"]:
+            for component in components:
+                if isinstance(component, str):
+                    tweaks[component] = {"file_path": response["file_path"]}
+                else:
+                    raise ValueError(f"Component ID or name must be a string. Got {type(component)}")
+            return tweaks
+        else:
+            raise ValueError("Error uploading file")
+    except Exception as e:
+        raise ValueError(f"Error uploading file: {e}")
+
+
+def get_flow(url: str, flow_id: str):
+    """Get the details of a flow from Langflow.
+
+    Args:
+        url (str): The host URL of Langflow.
+        port (int): The port number of Langflow.
+        flow_id (UUID): The ID of the flow to retrieve.
+
+    Returns:
+        dict: A dictionary containing the details of the flow.
+
+    Raises:
+        Exception: If an error occurs during the retrieval process.
+    """
+    try:
+        flow_url = f"{url}/api/v1/flows/{flow_id}"
+        response = httpx.get(flow_url)
+        if response.status_code == 200:
+            json_response = response.json()
+            flow = FlowBase(**json_response).model_dump()
+            return flow
+        else:
+            raise Exception(f"Error retrieving flow: {response.status_code}")
+    except Exception as e:
+        raise Exception(f"Error retrieving flow: {e}")
--- a/src/backend/base/langflow/main.py
+++ b/src/backend/base/langflow/main.py
@ -14,7 +14,11 @@ from rich import print as rprint
 from starlette.middleware.base import BaseHTTPMiddleware

 from langflow.api import router
-from langflow.initial_setup.setup import create_or_update_starter_projects
+from langflow.initial_setup.setup import (
+    create_or_update_starter_projects,
+    initialize_super_user_if_needed,
+    load_flows_from_directory,
+)
 from langflow.interface.utils import setup_llm_caching
 from langflow.services.plugins.langfuse_plugin import LangfuseInstance
 from langflow.services.utils import initialize_services, teardown_services
@ -33,27 +37,22 @@ class JavaScriptMIMETypeMiddleware(BaseHTTPMiddleware):
        return response


-def get_lifespan(fix_migration=False, socketio_server=None):
-    try:
-        from langflow.version import __version__  # type: ignore
-    except ImportError:
-        from importlib.metadata import version
-
-        __version__ = version("langflow-base")
-
+def get_lifespan(fix_migration=False, socketio_server=None, version=None):
    @asynccontextmanager
    async def lifespan(app: FastAPI):
        nest_asyncio.apply()
        # Startup message
-        if __version__:
-            rprint(f"[bold green]Starting Langflow v{__version__}...[/bold green]")
+        if version:
+            rprint(f"[bold green]Starting Langflow v{version}...[/bold green]")
        else:
            rprint("[bold green]Starting Langflow...[/bold green]")
        try:
            initialize_services(fix_migration=fix_migration, socketio_server=socketio_server)
            setup_llm_caching()
            LangfuseInstance.update()
+            initialize_super_user_if_needed()
            create_or_update_starter_projects()
+            load_flows_from_directory()
            yield
        except Exception as exc:
            if "langflow migration --fix" not in str(exc):
@ -68,11 +67,17 @@ def get_lifespan(fix_migration=False, socketio_server=None):

 def create_app():
    """Create the FastAPI app and include the router."""
+    try:
+        from langflow.version import __version__  # type: ignore
+    except ImportError:
+        from importlib.metadata import version
+
+        __version__ = version("langflow-base")

    configure()
    socketio_server = socketio.AsyncServer(async_mode="asgi", cors_allowed_origins="*", logger=True)
-    lifespan = get_lifespan(socketio_server=socketio_server)
-    app = FastAPI(lifespan=lifespan)
+    lifespan = get_lifespan(socketio_server=socketio_server, version=__version__)
+    app = FastAPI(lifespan=lifespan, title="Langflow", version=__version__)
    origins = ["*"]

    app.add_middleware(
--- a/src/backend/base/langflow/processing/process.py
+++ b/src/backend/base/langflow/processing/process.py
@ -8,6 +8,7 @@ from langflow.graph.schema import RunOutputs
 from langflow.graph.vertex.base import Vertex
 from langflow.schema.graph import InputValue, Tweaks
 from langflow.schema.schema import INPUT_FIELD_NAME
+from langflow.services.deps import get_settings_service
 from langflow.services.session.service import SessionService

 if TYPE_CHECKING:
@ -49,6 +50,8 @@ async def run_graph_internal(
        inputs_list.append({INPUT_FIELD_NAME: input_value_request.input_value})
        types.append(input_value_request.type)

+    fallback_to_env_vars = get_settings_service().settings.fallback_to_env_var
+
    run_outputs = await graph.arun(
        inputs_list,
        components,
@ -56,6 +59,7 @@ async def run_graph_internal(
        outputs or [],
        stream=stream,
        session_id=session_id_str or "",
+        fallback_to_env_vars=fallback_to_env_vars
    )
    if session_id_str and session_service:
        await session_service.update_session(session_id_str, (graph, artifacts))
--- a/src/backend/base/langflow/services/auth/utils.py
+++ b/src/backend/base/langflow/services/auth/utils.py
@ -76,11 +76,6 @@ async def get_current_user(
    if token:
        return await get_current_user_by_jwt(token, db)
    else:
-        if not query_param and not header_param:
-            raise HTTPException(
-                status_code=status.HTTP_403_FORBIDDEN,
-                detail="An API key as query or header, or a JWT token must be passed",
-            )
        user = await api_key_security(query_param, header_param, db)
        if user:
            return user
@ -216,15 +211,14 @@ def create_super_user(

 def create_user_longterm_token(db: Session = Depends(get_session)) -> tuple[UUID, dict]:
    settings_service = get_settings_service()
+
    username = settings_service.auth_settings.SUPERUSER
-    password = settings_service.auth_settings.SUPERUSER_PASSWORD
-    if not username or not password:
+    super_user = get_user_by_username(db, username)
+    if not super_user:
        raise HTTPException(
            status_code=status.HTTP_400_BAD_REQUEST,
-            detail="Missing first superuser credentials",
+            detail="Super user hasn't been created"
        )
-    super_user = create_super_user(db=db, username=username, password=password)
-
    access_token_expires_longterm = timedelta(days=365)
    access_token = create_token(
        data={"sub": str(super_user.id)},
--- a/src/backend/base/langflow/services/database/factory.py
+++ b/src/backend/base/langflow/services/database/factory.py
@ -15,4 +15,4 @@ class DatabaseServiceFactory(ServiceFactory):
        # Here you would have logic to create and configure a DatabaseService
        if not settings_service.settings.database_url:
            raise ValueError("No database URL provided")
-        return DatabaseService(settings_service.settings.database_url)
+        return DatabaseService(settings_service)
--- a/src/backend/base/langflow/services/database/models/flow/model.py
+++ b/src/backend/base/langflow/services/database/models/flow/model.py
@ -1,5 +1,6 @@
 # Path: src/backend/langflow/services/database/models/flow/model.py

+import re
 import warnings
 from datetime import datetime, timezone
 from typing import TYPE_CHECKING, Dict, Optional
@ -7,7 +8,9 @@ from uuid import UUID, uuid4

 import emoji
 from emoji import purely_emoji  # type: ignore
+from fastapi import HTTPException, status
 from pydantic import field_serializer, field_validator
+from sqlalchemy import UniqueConstraint
 from sqlmodel import JSON, Column, Field, Relationship, SQLModel

 from langflow.schema.schema import Record
@ -25,7 +28,25 @@ class FlowBase(SQLModel):
    data: Optional[Dict] = Field(default=None, nullable=True)
    is_component: Optional[bool] = Field(default=False, nullable=True)
    updated_at: Optional[datetime] = Field(default_factory=lambda: datetime.now(timezone.utc), nullable=True)
-    folder_id: Optional[UUID] = Field(default=None, nullable=True)
+    webhook: Optional[bool] = Field(default=False, nullable=True, description="Can be used on the webhook endpoint")
+    endpoint_name: Optional[str] = Field(default=None, nullable=True, index=True)
+
+    @field_validator("endpoint_name")
+    @classmethod
+    def validate_endpoint_name(cls, v):
+        # Endpoint name must be a string containing only letters, numbers, hyphens, and underscores
+        if v is not None:
+            if not isinstance(v, str):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must be a string",
+                )
+            if not re.match(r"^[a-zA-Z0-9_-]+$", v):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must contain only letters, numbers, hyphens, and underscores",
+                )
+        return v

    @field_validator("icon_bg_color")
    def validate_icon_bg_color(cls, v):
@ -93,10 +114,15 @@ class FlowBase(SQLModel):

    # updated_at can be serialized to JSON
    @field_serializer("updated_at")
-    def serialize_dt(self, dt: datetime, _info):
-        if dt is None:
-            return None
-        return dt.isoformat()
+    def serialize_datetime(value):
+        if isinstance(value, datetime):
+            # I'm getting 2024-05-29T17:57:17.631346
+            # and I want 2024-05-29T17:57:17-05:00
+            value = value.replace(microsecond=0)
+            if value.tzinfo is None:
+                value = value.replace(tzinfo=timezone.utc)
+            return value.isoformat()
+        return value

    @field_validator("updated_at", mode="before")
    def validate_dt(cls, v):
@ -128,6 +154,11 @@ class Flow(FlowBase, table=True):
        record = Record(data=data)
        return record

+    __table_args__ = (
+        UniqueConstraint("user_id", "name", name="unique_flow_name"),
+        UniqueConstraint("user_id", "endpoint_name", name="unique_flow_endpoint_name"),
+    )
+

 class FlowCreate(FlowBase):
    user_id: Optional[UUID] = None
@ -145,3 +176,21 @@ class FlowUpdate(SQLModel):
    description: Optional[str] = None
    data: Optional[Dict] = None
    folder_id: Optional[UUID] = None
+    endpoint_name: Optional[str] = None
+
+    @field_validator("endpoint_name")
+    @classmethod
+    def validate_endpoint_name(cls, v):
+        # Endpoint name must be a string containing only letters, numbers, hyphens, and underscores
+        if v is not None:
+            if not isinstance(v, str):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must be a string",
+                )
+            if not re.match(r"^[a-zA-Z0-9_-]+$", v):
+                raise HTTPException(
+                    status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
+                    detail="Endpoint name must contain only letters, numbers, hyphens, and underscores",
+                )
+        return v
--- a/src/backend/base/langflow/services/database/models/flow/utils.py
+++ b/src/backend/base/langflow/services/database/models/flow/utils.py
@ -0,0 +1,33 @@
+from typing import Optional
+
+from fastapi import Depends
+from sqlmodel import Session
+
+from langflow.services.deps import get_session
+
+from .model import Flow
+
+
+def get_flow_by_id(session: Session = Depends(get_session), flow_id: Optional[str] = None) -> Flow | None:
+    """Get flow by id."""
+
+    if flow_id is None:
+        raise ValueError("Flow id is required.")
+
+    return session.get(Flow, flow_id)
+
+
+def get_webhook_component_in_flow(flow_data: dict):
+    """Get webhook component in flow data."""
+
+    for node in flow_data.get("nodes", []):
+        if "Webhook" in node.get("id"):
+            return node
+    return None
+
+
+def get_all_webhook_components_in_flow(flow_data: dict | None):
+    """Get all webhook components in flow data."""
+    if not flow_data:
+        return []
+    return [node for node in flow_data.get("nodes", []) if "Webhook" in node.get("id")]
--- a/src/backend/base/langflow/services/database/models/folder/model.py
+++ b/src/backend/base/langflow/services/database/models/folder/model.py
@ -1,6 +1,7 @@
 from typing import TYPE_CHECKING, List, Optional
 from uuid import UUID, uuid4

+from sqlalchemy import UniqueConstraint
 from sqlmodel import Field, Relationship, SQLModel

 from langflow.services.database.models.flow.model import FlowRead
@ -30,6 +31,8 @@ class Folder(FolderBase, table=True):
        back_populates="folder", sa_relationship_kwargs={"cascade": "all, delete, delete-orphan"}
    )

+    __table_args__ = (UniqueConstraint("user_id", "name", name="unique_folder_name"),)
+

 class FolderCreate(FolderBase):
    components_list: Optional[List[UUID]] = None
--- a/src/backend/base/langflow/services/database/service.py
+++ b/src/backend/base/langflow/services/database/service.py
@ -21,12 +21,17 @@ from langflow.services.utils import teardown_superuser
 if TYPE_CHECKING:
    from sqlalchemy.engine import Engine

+    from langflow.services.settings.service import SettingsService
+

 class DatabaseService(Service):
    name = "database_service"

-    def __init__(self, database_url: str):
-        self.database_url = database_url
+    def __init__(self, settings_service: "SettingsService"):
+        self.settings_service = settings_service
+        if settings_service.settings.database_url is None:
+            raise ValueError("No database URL provided")
+        self.database_url: str = settings_service.settings.database_url
        # This file is in langflow.services.database.manager.py
        # the ini is in langflow
        langflow_dir = Path(__file__).parent.parent.parent
@ -41,7 +46,12 @@ class DatabaseService(Service):
            connect_args = {"check_same_thread": False}
        else:
            connect_args = {}
-        return create_engine(self.database_url, connect_args=connect_args)
+        return create_engine(
+            self.database_url,
+            connect_args=connect_args,
+            pool_size=self.settings_service.settings.pool_size,
+            max_overflow=self.settings_service.settings.max_overflow,
+        )

    def __enter__(self):
        self._session = Session(self.engine)
@ -267,3 +277,4 @@ class DatabaseService(Service):
            logger.error(f"Error tearing down database: {exc}")

        self.engine.dispose()
+        self.engine.dispose()
--- a/src/backend/base/langflow/services/monitor/utils.py
+++ b/src/backend/base/langflow/services/monitor/utils.py
@ -8,6 +8,7 @@ from langflow.services.deps import get_monitor_service

 if TYPE_CHECKING:
    from langflow.api.v1.schemas import ResultDataResponse
+    from langflow.graph.vertex.base import Vertex


 INDEX_KEY = "index"
@ -165,3 +166,35 @@ async def log_vertex_build(
        monitor_service.add_row(table_name="vertex_builds", data=row)
    except Exception as e:
        logger.exception(f"Error logging vertex build: {e}")
+
+
+def build_clean_params(target: "Vertex") -> dict:
+    """
+    Cleans the parameters of the target vertex.
+    """
+    # Removes all keys that the values aren't python types like str, int, bool, etc.
+    params = {
+        key: value for key, value in target.params.items() if isinstance(value, (str, int, bool, float, list, dict))
+    }
+    # if it is a list we need to check if the contents are python types
+    for key, value in params.items():
+        if isinstance(value, list):
+            params[key] = [item for item in value if isinstance(item, (str, int, bool, float, list, dict))]
+    return params
+
+
+def log_transaction(vertex: "Vertex", status, error=None):
+    try:
+        monitor_service = get_monitor_service()
+        clean_params = build_clean_params(vertex)
+        data = {
+            "vertex_id": vertex.id,
+            "inputs": clean_params,
+            "output": str(vertex.result),
+            "timestamp": monitor_service.get_timestamp(),
+            "status": status,
+            "error": error,
+        }
+        monitor_service.add_row(table_name="transactions", data=data)
+    except Exception as e:
+        logger.error(f"Error logging transaction: {e}")
--- a/src/backend/base/langflow/services/settings/base.py
+++ b/src/backend/base/langflow/services/settings/base.py
@ -67,10 +67,17 @@ class Settings(BaseSettings):

    dev: bool = False
    database_url: Optional[str] = None
+    """Database URL for Langflow. If not provided, Langflow will use a SQLite database."""
+    pool_size: int = 10
+    """The number of connections to keep open in the connection pool. If not provided, the default is 10."""
+    max_overflow: int = 10
+    """The number of connections to allow that can be opened beyond the pool size. If not provided, the default is 10."""
    cache_type: str = "async"
    remove_api_keys: bool = False
    components_path: List[str] = []
    langchain_cache: str = "InMemoryCache"
+    load_flows_path: Optional[str] = None
+

    # Redis
    redis_host: str = "localhost"
--- a/src/backend/base/langflow/services/settings/constants.py
+++ b/src/backend/base/langflow/services/settings/constants.py
@ -17,6 +17,8 @@ VARIABLES_TO_GET_FROM_ENVIRONMENT = [
    "PINECONE_API_KEY",
    "SEARCHAPI_API_KEY",
    "SERPAPI_API_KEY",
+    "UPSTASH_VECTOR_REST_URL",
+    "UPSTASH_VECTOR_REST_TOKEN",
    "VECTARA_CUSTOMER_ID",
    "VECTARA_CORPUS_ID",
    "VECTARA_API_KEY",
--- a/src/backend/base/langflow/services/settings/service.py
+++ b/src/backend/base/langflow/services/settings/service.py
@ -1,4 +1,5 @@
 import os
+from typing import Optional

 import yaml
 from loguru import logger
@ -7,7 +8,6 @@ from langflow.services.base import Service
 from langflow.services.settings.auth import AuthSettings
 from langflow.services.settings.base import Settings

-
 class SettingsService(Service):
    name = "settings_service"

@ -27,7 +27,6 @@ class SettingsService(Service):

        with open(file_path, "r") as f:
            settings_dict = yaml.safe_load(f)
-            settings_dict = {k.upper(): v for k, v in settings_dict.items()}

            for key in settings_dict:
                if key not in Settings.model_fields.keys():
--- a/src/backend/base/langflow/utils/migration.py
+++ b/src/backend/base/langflow/utils/migration.py
@ -0,0 +1,65 @@
+from sqlalchemy.engine.reflection import Inspector
+
+
+def table_exists(name, conn):
+    """
+    Check if a table exists.
+
+    Parameters:
+    name (str): The name of the table to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the table exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    return name in inspector.get_table_names()
+
+
+def column_exists(table_name, column_name, conn):
+    """
+    Check if a column exists in a table.
+
+    Parameters:
+    table_name (str): The name of the table to check.
+    column_name (str): The name of the column to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the column exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    return column_name in [column["name"] for column in inspector.get_columns(table_name)]
+
+
+def foreign_key_exists(table_name, fk_name, conn):
+    """
+    Check if a foreign key exists in a table.
+
+    Parameters:
+    table_name (str): The name of the table to check.
+    fk_name (str): The name of the foreign key to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the foreign key exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    return fk_name in [fk["name"] for fk in inspector.get_foreign_keys(table_name)]
+
+
+def constraint_exists(table_name, constraint_name, conn):
+    """
+    Check if a constraint exists in a table.
+
+    Parameters:
+    table_name (str): The name of the table to check.
+    constraint_name (str): The name of the constraint to check.
+    conn (sqlalchemy.engine.Engine or sqlalchemy.engine.Connection): The SQLAlchemy engine or connection to use.
+
+    Returns:
+    bool: True if the constraint exists, False otherwise.
+    """
+    inspector = Inspector.from_engine(conn)
+    constraints = inspector.get_unique_constraints(table_name)
+    return constraint_name in [constraint["name"] for constraint in constraints]
--- a/src/backend/base/poetry.lock
+++ b/src/backend/base/poetry.lock
@ -264,13 +264,13 @@ files = [

 [[package]]
 name = "certifi"
-version = "2024.2.2"
+version = "2024.6.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
-    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
+    {file = "certifi-2024.6.2-py3-none-any.whl", hash = "sha256:ddc6c8ce995e6987e7faf5e3f1b02b302836a0e5d98ece18392cb1a36c72ad56"},
+    {file = "certifi-2024.6.2.tar.gz", hash = "sha256:3cd43f1c6fa7dedc5899d69d3ad0398fd018ad1a17fba83ddaf78aa46c747516"},
 ]

 [[package]]
@ -463,43 +463,43 @@ files = [

 [[package]]
 name = "cryptography"
-version = "42.0.7"
+version = "42.0.8"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
 files = [
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@ -1159,13 +1159,13 @@ files = [

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+version = "0.2.2"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 python-versions = "<4.0,>=3.8.1"
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 pydantic = ">=1,<3"
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 [[package]]
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 [[package]]
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-content-hash = "31d8e5ce045ef7d94e63058559b5f8181e6b51fc923c4904f45481443d59235d"
+content-hash = "48a7355a7096e763b75315d0704bed8f4d8134a33553e62bc305a686b9e72803"
--- a/src/backend/base/pyproject.toml
+++ b/src/backend/base/pyproject.toml
@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langflow-base"
-version = "0.0.53"
+version = "0.0.57"
 description = "A Python package with a built-in web application"
 authors = ["Langflow <contact@langflow.org>"]
 maintainers = [
@ -28,7 +28,7 @@ langflow-base = "langflow.__main__:main"
 python = ">=3.10,<3.13"
 fastapi = "^0.111.0"
 httpx = "*"
-uvicorn = "^0.29.0"
+uvicorn = "^0.30.0"
 gunicorn = "^22.0.0"
 langchain = "~0.2.0"
 langchainhub = "~0.1.15"
@ -62,6 +62,7 @@ emoji = "^2.12.0"
 cryptography = "^42.0.5"
 asyncer = "^0.0.5"
 pyperclip = "^1.8.2"
+uncurl = "^0.0.11"


 [tool.poetry.extras]