🐛 fix(PromptRunner.py): change beta variable type from string to boolean to match expected type

🐛 fix(Metaphor.py): change beta variable type from string to boolean to match expected type
🐛 fix(GetRequest.py): change beta variable type from string to boolean to match expected type
🐛 fix(JSONDocumentBuilder.py): change beta variable type from string to boolean to match expected type
🐛 fix(PostRequest.py): change beta variable type from string to boolean to match expected type
🐛 fix(UpdateRequest.py): change beta variable type from string to boolean to match expected type
🐛 fix(Chroma.py): change beta variable type from string to boolean to match expected type
🐛 fix(Vectara.py): change beta variable type from string to boolean to match expected type
🐛 fix(component.py): change ERROR_CODE_NULL variable type from dict to string to match expected type
🐛 fix(custom_component.py): change code_class_base_inheritance variable type from dict to string to match expected type
🐛 fix(custom_component.py): change function_entrypoint_name variable type from dict to string to match expected type
🐛 fix(initialize/vector_store.py): change chromadb variable name to chromadb_instance for clarity
🐛 fix(database/manager.py): change expected_columns to use model_fields instead of __fields__ to match new SQLModel version
🐛 fix(database/models/base.py): remove unused model_config variable
🐛 fix(database/models/flow/flow.py): change validator decorator to field_validator to match new pydantic version
🐛 fix(settings.py): change root_validator decorator to model_validator to match new pydantic version

src/backend/langflow/components/chains/PromptRunner.py

@@ -8,7 +8,7 @@ from langchain.schema import Document
 class PromptRunner(CustomComponent):
     display_name: str = "Prompt Runner"
     description: str = "Run a Chain with the given PromptTemplate"
-    beta: str = True
+    beta: bool = True
     field_config = {
         "llm": {"display_name": "LLM"},
         "prompt": {

src/backend/langflow/components/toolkits/Metaphor.py

@@ -13,7 +13,7 @@ class MetaphorToolkit(CustomComponent):
     documentation = (
         "https://python.langchain.com/docs/integrations/tools/metaphor_search"
     )
-    beta: str = True
+    beta: bool = True
     # api key should be password = True
     field_config = {
         "metaphor_api_key": {"display_name": "Metaphor API Key", "password": True},

src/backend/langflow/components/utilities/GetRequest.py

@@ -10,7 +10,7 @@ class GetRequest(CustomComponent):
     description: str = "Make a GET request to the given URL."
     output_types: list[str] = ["Document"]
     documentation: str = "https://docs.langflow.org/components/utilities#get-request"
-    beta: str = True
+    beta: bool = True
     field_config = {
         "url": {
             "display_name": "URL",

src/backend/langflow/components/utilities/JSONDocumentBuilder.py

@@ -20,7 +20,7 @@ class JSONDocumentBuilder(CustomComponent):
     display_name: str = "JSON Document Builder"
     description: str = "Build a Document containing a JSON object using a key and another Document page content."
     output_types: list[str] = ["Document"]
-    beta: str = True
+    beta: bool = True
     documentation: str = (
         "https://docs.langflow.org/components/utilities#json-document-builder"
     )

src/backend/langflow/components/utilities/PostRequest.py

@@ -10,7 +10,7 @@ class PostRequest(CustomComponent):
     description: str = "Make a POST request to the given URL."
     output_types: list[str] = ["Document"]
     documentation: str = "https://docs.langflow.org/components/utilities#post-request"
-    beta: str = True
+    beta: bool = True
     field_config = {
         "url": {"display_name": "URL", "info": "The URL to make the request to."},
         "headers": {

src/backend/langflow/components/utilities/UpdateRequest.py

@@ -10,7 +10,7 @@ class UpdateRequest(CustomComponent):
     description: str = "Make a PATCH request to the given URL."
     output_types: list[str] = ["Document"]
     documentation: str = "https://docs.langflow.org/components/utilities#update-request"
-    beta: str = True
+    beta: bool = True
     field_config = {
         "url": {"display_name": "URL", "info": "The URL to make the request to."},
         "headers": {

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

@@ -17,7 +17,7 @@ class ChromaComponent(CustomComponent):
     display_name: str = "Chroma"
     description: str = "Implementation of Vector Store using Chroma"
     documentation = "https://python.langchain.com/docs/integrations/vectorstores/chroma"
-    beta: str = True
+    beta: bool = True
 
     def build_config(self):
         """

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

@@ -13,7 +13,7 @@ class VectaraComponent(CustomComponent):
     documentation = (
         "https://python.langchain.com/docs/integrations/vectorstores/vectara"
     )
-    beta: str = True
+    beta: bool = True
     # api key should be password = True
     field_config = {
         "vectara_customer_id": {"display_name": "Vectara Customer ID"},

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

@@ -1,5 +1,5 @@
 import ast
-from typing import Any, ClassVar, Dict, Optional
+from typing import Any, ClassVar, Optional
 from pydantic import BaseModel
 from fastapi import HTTPException
 
@@ -16,9 +16,9 @@ class ComponentFunctionEntrypointNameNullError(HTTPException):
 
 
 class Component(BaseModel):
-    ERROR_CODE_NULL: ClassVar[Dict] = "Python code must be provided."
+    ERROR_CODE_NULL: ClassVar[str] = "Python code must be provided."
     ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[
-        Dict
+        str
     ] = "The name of the entrypoint function must be provided."
 
     code: Optional[str] = None

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

@@ -1,4 +1,4 @@
-from typing import Any, Callable, ClassVar, List, Optional, Union, Dict
+from typing import Any, Callable, ClassVar, List, Optional, Union
 from uuid import UUID
 from fastapi import HTTPException
 from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES
@@ -19,8 +19,8 @@ class CustomComponent(Component, extra="allow"):
     description = "Custom Component"
     code: Optional[str] = None
     field_config: dict = {}
-    code_class_base_inheritance: ClassVar[Dict] = "CustomComponent"
+    code_class_base_inheritance: ClassVar[str] = "CustomComponent"
-    function_entrypoint_name: ClassVar[Dict] = "build"
+    function_entrypoint_name: ClassVar[str] = "build"
     function: Optional[Callable] = None
     return_type_valid_list: List[str] = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())
     repr_value: Optional[Any] = ""

src/backend/langflow/interface/initialize/vector_store.py

@@ -196,7 +196,7 @@ def initialize_chroma(class_object: Type[Chroma], params: dict):
         params.pop("documents", None)
         params.pop("texts", None)
         params["embedding_function"] = params.pop("embedding")
-        chromadb = class_object(**params)
+        chromadb_instance = class_object(**params)
     else:
         if "texts" in params:
             params["documents"] = params.pop("texts")
@@ -211,10 +211,10 @@ def initialize_chroma(class_object: Type[Chroma], params: dict):
                 if value is None:
                     doc.metadata[key] = ""
 
-        chromadb = class_object.from_documents(**params)
+        chromadb_instance = class_object.from_documents(**params)
     if persist:
-        chromadb.persist()
+        chromadb_instance.persist()
-    return chromadb
+    return chromadb_instance
 
 
 def initialize_qdrant(class_object: Type[Qdrant], params: dict):

src/backend/langflow/services/database/manager.py

@@ -94,7 +94,7 @@ class DatabaseService(Service):
         legacy_tables = ["flowstyle"]
 
         for table, model in model_mapping.items():
-            expected_columns = list(model.__fields__.keys())
+            expected_columns = list(model.model_fields.keys())
 
             try:
                 available_columns = [

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

@@ -1,6 +1,5 @@
 from sqlmodel import SQLModel
 import orjson
-from pydantic import ConfigDict
 
 
 def orjson_dumps(v, *, default=None, sort_keys=False, indent_2=True):
@@ -22,8 +21,4 @@ def orjson_dumps(v, *, default=None, sort_keys=False, indent_2=True):
 class SQLModelSerializable(SQLModel):
     # TODO[pydantic]: The following keys were removed: `json_loads`, `json_dumps`.
     # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information.
-    model_config = ConfigDict(
+    pass
-        from_attributes=True,
-        # json_loads=orjson.loads,
-        # json_dumps=orjson_dumps
-    )

src/backend/langflow/services/database/models/flow/flow.py

@@ -1,7 +1,7 @@
 # Path: src/backend/langflow/database/models/flow.py
 
 from langflow.services.database.models.base import SQLModelSerializable
-from pydantic import validator
+from pydantic import field_validator
 
 from sqlmodel import Field, JSON, Column, Relationship
 from uuid import UUID, uuid4
@@ -16,7 +16,7 @@ class FlowBase(SQLModelSerializable):
     description: Optional[str] = Field(index=True, nullable=True, default=None)
     data: Optional[Dict] = Field(default=None, nullable=True)
 
-    @validator("data")
+    @field_validator("data")
     def validate_json(v):
         if not v:
             return v

src/backend/langflow/settings.py

@@ -5,7 +5,7 @@ from typing import Optional, List
 from pathlib import Path
 
 import yaml
-from pydantic import root_validator, validator
+from pydantic import validator, model_validator
 from pydantic_settings import BaseSettings
 from langflow.utils.logger import logger
 
@@ -88,7 +88,7 @@ class Settings(BaseSettings):
         extra = "ignore"
         env_prefix = "LANGFLOW_"
 
-    @root_validator(allow_reuse=True)
+    @model_validator(mode="after")
     def validate_lists(cls, values):
         for key, value in values.items():
             if key != "dev" and not value: