Update inputs now that extras are forbid

src/backend/base/langflow/components/data/Webhook.py

@@ -1,7 +1,7 @@
 import json
 
 from langflow.custom import Component
-from langflow.io import Output, TextInput
+from langflow.io import MultilineInput, Output
 from langflow.schema import Data
 
 
@@ -10,11 +10,10 @@ class WebhookComponent(Component):
     description = "Defines a webhook input for the flow."
 
     inputs = [
-        TextInput(
+        MultilineInput(
             name="data",
             display_name="Data",
             info="Use this field to quickly test the webhook component by providing a JSON payload.",
-            multiline=True,
         )
     ]
     outputs = [

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

@@ -1,7 +1,5 @@
 from typing import Any, List, Optional
 
-from loguru import logger
-
 from langflow.base.flow_processing.utils import build_data_from_result_data
 from langflow.custom import CustomComponent
 from langflow.graph.graph.base import Graph
@@ -11,6 +9,7 @@ from langflow.helpers.flow import get_flow_inputs
 from langflow.schema import Data
 from langflow.schema.dotdict import dotdict
 from langflow.template.field.base import Input
+from loguru import logger
 
 
 class SubFlowComponent(CustomComponent):
@@ -63,7 +62,7 @@ class SubFlowComponent(CustomComponent):
                 name=vertex.id,
                 info=vertex.description,
                 field_type="str",
-                default=None,
+                value=None,
             )
             new_fields.append(field)
         logger.debug(new_fields)

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

@@ -23,7 +23,7 @@ class CombineTextComponent(Component):
             name="delimiter",
             display_name="Delimiter",
             info="A string used to separate the two text inputs. Defaults to a whitespace.",
-            default=" ",
+            value=" ",
         ),
     ]
 

src/backend/base/langflow/components/inputs/ChatInput.py

@@ -1,6 +1,6 @@
 from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES
 from langflow.base.io.chat import ChatComponent
-from langflow.io import DropdownInput, FileInput, Output, TextInput
+from langflow.io import DropdownInput, FileInput, MultilineInput, Output, TextInput
 from langflow.schema.message import Message
 
 
@@ -10,10 +10,9 @@ class ChatInput(ChatComponent):
     icon = "ChatInput"
 
     inputs = [
-        TextInput(
+        MultilineInput(
             name="input_value",
             display_name="Text",
-            multiline=True,
             value="",
             info="Message to be passed as input.",
         ),
@@ -27,15 +26,12 @@ class ChatInput(ChatComponent):
         ),
         TextInput(
             name="sender_name",
-            type=str,
             display_name="Sender Name",
             info="Name of the sender.",
             value="User",
             advanced=True,
         ),
-        TextInput(
+        TextInput(name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True),
-            name="session_id", type=str, display_name="Session ID", info="Session ID for the message.", advanced=True
-        ),
         FileInput(
             name="files",
             display_name="Files",

src/backend/base/langflow/components/model_specs/ChatVertexAISpecs.py

@@ -1,7 +1,6 @@
 from typing import Optional
 
 from langchain_community.chat_models.vertexai import ChatVertexAI
-
 from langflow.custom import CustomComponent
 from langflow.field_typing import BaseLanguageModel
 
@@ -16,7 +15,7 @@ class ChatVertexAIComponent(CustomComponent):
             "credentials": {
                 "display_name": "Credentials",
                 "field_type": "file",
-                "file_types": [".json"],
+                "file_types": ["json"],
                 "file_path": None,
             },
             "examples": {

src/backend/base/langflow/components/model_specs/VertexAISpecs.py

@@ -1,7 +1,6 @@
 from typing import Dict, Optional
 
 from langchain_community.llms.vertexai import VertexAI
-
 from langflow.custom import CustomComponent
 from langflow.field_typing import BaseLanguageModel
 
@@ -16,7 +15,7 @@ class VertexAIComponent(CustomComponent):
             "credentials": {
                 "display_name": "Credentials",
                 "field_type": "file",
-                "file_types": [".json"],
+                "file_types": ["json"],
                 "required": False,
                 "value": None,
             },

src/backend/base/langflow/components/models/AzureOpenAIModel.py

@@ -4,7 +4,7 @@ from pydantic.v1 import SecretStr
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import BaseLanguageModel, Text
-from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput, SecretStrInput
 
 
 class AzureChatOpenAIComponent(LCModelComponent):
@@ -56,7 +56,7 @@ class AzureChatOpenAIComponent(LCModelComponent):
             value=AZURE_OPENAI_API_VERSIONS[-1],
             advanced=True,
         ),
-        StrInput(name="api_key", display_name="API Key", password=True),
+        SecretStrInput(name="api_key", display_name="API Key", password=True),
         FloatInput(name="temperature", display_name="Temperature", value=0.7),
         IntInput(
             name="max_tokens",

src/backend/base/langflow/components/models/BaiduQianfanChatModel.py

@@ -4,7 +4,7 @@ from pydantic.v1 import SecretStr
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import BaseLanguageModel, Text
-from langflow.io import BoolInput, FloatInput, Output, SecretStrInput, StrInput
+from langflow.io import BoolInput, FloatInput, Output, SecretStrInput, StrInput, DropdownInput
 
 
 class QianfanChatEndpointComponent(LCModelComponent):
@@ -19,7 +19,7 @@ class QianfanChatEndpointComponent(LCModelComponent):
             display_name="Input",
             input_types=["Text", "Data", "Prompt"],
         ),
-        StrInput(
+        DropdownInput(
             name="model",
             display_name="Model Name",
             options=[

src/backend/base/langflow/components/models/ChatLiteLLMModel.py

@@ -1,11 +1,20 @@
 from typing import Optional
 
 from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException
-
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import BaseLanguageModel
-from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageInput, Output, StrInput
+from langflow.io import (
+    BoolInput,
+    DictInput,
+    DropdownInput,
+    FloatInput,
+    IntInput,
+    MessageInput,
+    Output,
+    SecretStrInput,
+    StrInput,
+)
 from langflow.schema.message import Message
 
 
@@ -24,12 +33,11 @@ class ChatLiteLLMModelComponent(LCModelComponent):
             required=True,
             info="The name of the model to use. For example, `gpt-3.5-turbo`.",
         ),
-        StrInput(
+        SecretStrInput(
             name="api_key",
             display_name="API key",
             advanced=False,
             required=False,
-            password=True,
         ),
         DropdownInput(
             name="provider",
@@ -49,14 +57,14 @@ class ChatLiteLLMModelComponent(LCModelComponent):
             display_name="Temperature",
             advanced=False,
             required=False,
-            default=0.7,
+            value=0.7,
         ),
         DictInput(
             name="model_kwargs",
             display_name="Model kwargs",
             advanced=True,
             required=False,
-            default={},
+            value={},
         ),
         FloatInput(
             name="top_p",
@@ -77,13 +85,13 @@ class ChatLiteLLMModelComponent(LCModelComponent):
             required=False,
             info="Number of chat completions to generate for each prompt. "
             "Note that the API may not return the full n completions if duplicates are generated.",
-            default=1,
+            value=1,
         ),
         IntInput(
             name="max_tokens",
             display_name="Max tokens",
             advanced=False,
-            default=256,
+            value=256,
             info="The maximum number of tokens to generate for each chat completion.",
         ),
         IntInput(
@@ -91,14 +99,14 @@ class ChatLiteLLMModelComponent(LCModelComponent):
             display_name="Max retries",
             advanced=True,
             required=False,
-            default=6,
+            value=6,
         ),
         BoolInput(
             name="verbose",
             display_name="Verbose",
             advanced=True,
             required=False,
-            default=False,
+            value=False,
         ),
         BoolInput(
             name="stream",
@@ -179,3 +187,4 @@ class ChatLiteLLMModelComponent(LCModelComponent):
         )
 
         return output
+        return output

src/backend/base/langflow/components/models/VertexAiModel.py

@@ -1,9 +1,8 @@
 from langchain_google_vertexai import ChatVertexAI
-
 from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import BaseLanguageModel, Text
-from langflow.io import BoolInput, FloatInput, IntInput, MessageInput, Output, StrInput
+from langflow.io import BoolInput, FileInput, FloatInput, IntInput, MessageInput, MultilineInput, Output, StrInput
 
 
 class ChatVertexAIComponent(LCModelComponent):
@@ -13,19 +12,18 @@ class ChatVertexAIComponent(LCModelComponent):
 
     inputs = [
         MessageInput(name="input_value", display_name="Input"),
-        StrInput(
+        FileInput(
             name="credentials",
             display_name="Credentials",
             info="Path to the JSON file containing the credentials.",
-            file_types=[".json"],
+            file_types=["json"],
             advanced=True,
         ),
         StrInput(name="project", display_name="Project", info="The project ID."),
-        StrInput(
+        MultilineInput(
             name="examples",
             display_name="Examples",
             info="Examples to pass to the model.",
-            multiline=True,
             advanced=True,
         ),
         StrInput(name="location", display_name="Location", value="us-central1", advanced=True),

src/backend/base/langflow/components/vectorstores/Cassandra.py

@@ -2,10 +2,9 @@ from typing import List
 
 from langchain_community.vectorstores import Cassandra
 from langchain_core.retrievers import BaseRetriever
-
 from langflow.custom import Component
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, StrInput
+from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
 from langflow.schema import Data
 
 
@@ -16,11 +15,10 @@ class CassandraVectorStoreComponent(Component):
     icon = "Cassandra"
 
     inputs = [
-        StrInput(
+        SecretStrInput(
             name="token",
             display_name="Token",
             info="Authentication token for accessing Cassandra on Astra DB.",
-            password=True,
             required=True,
         ),
         StrInput(name="database_id", display_name="Database ID", info="The Astra database ID.", required=True),

src/backend/base/langflow/components/vectorstores/Couchbase.py

@@ -3,10 +3,9 @@ from typing import List
 
 from langchain_community.vectorstores import CouchbaseVectorStore
 from langchain_core.retrievers import BaseRetriever
-
 from langflow.custom import Component
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, HandleInput, IntInput, Output, StrInput
+from langflow.io import BoolInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
 from langflow.schema import Data
 
 
@@ -19,7 +18,7 @@ class CouchbaseVectorStoreComponent(Component):
     inputs = [
         StrInput(name="couchbase_connection_string", display_name="Couchbase Cluster connection string", required=True),
         StrInput(name="couchbase_username", display_name="Couchbase username", required=True),
-        StrInput(name="couchbase_password", display_name="Couchbase password", password=True, required=True),
+        SecretStrInput(name="couchbase_password", display_name="Couchbase password", required=True),
         StrInput(name="bucket_name", display_name="Bucket Name", required=True),
         StrInput(name="scope_name", display_name="Scope Name", required=True),
         StrInput(name="collection_name", display_name="Collection Name", required=True),

src/backend/base/langflow/components/vectorstores/Pinecone.py

@@ -2,10 +2,9 @@ from typing import List
 
 from langchain_core.retrievers import BaseRetriever
 from langchain_pinecone import Pinecone
-
 from langflow.custom import Component
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, StrInput
+from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
 from langflow.schema import Data
 
 
@@ -25,7 +24,7 @@ class PineconeVectorStoreComponent(Component):
             value="Cosine",
             advanced=True,
         ),
-        StrInput(name="pinecone_api_key", display_name="Pinecone API Key", password=True, required=True),
+        SecretStrInput(name="pinecone_api_key", display_name="Pinecone API Key", required=True),
         HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),
         StrInput(
             name="text_key",

src/backend/base/langflow/components/vectorstores/Qdrant.py

@@ -2,10 +2,9 @@ from typing import List
 
 from langchain_community.vectorstores import Qdrant
 from langchain_core.retrievers import BaseRetriever
-
 from langflow.custom import Component
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, StrInput
+from langflow.io import BoolInput, DropdownInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
 from langflow.schema import Data
 
 
@@ -20,7 +19,7 @@ class QdrantVectorStoreComponent(Component):
         StrInput(name="host", display_name="Host", value="localhost", advanced=True),
         IntInput(name="port", display_name="Port", value=6333, advanced=True),
         IntInput(name="grpc_port", display_name="gRPC Port", value=6334, advanced=True),
-        StrInput(name="api_key", display_name="API Key", password=True, advanced=True),
+        SecretStrInput(name="api_key", display_name="API Key", advanced=True),
         StrInput(name="prefix", display_name="Prefix", advanced=True),
         IntInput(name="timeout", display_name="Timeout", advanced=True),
         StrInput(name="path", display_name="Path", advanced=True),

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

@@ -3,10 +3,9 @@ from typing import List
 from langchain_community.embeddings import FakeEmbeddings
 from langchain_community.vectorstores import Vectara
 from langchain_core.retrievers import BaseRetriever
-
 from langflow.custom import Component
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, HandleInput, IntInput, Output, StrInput
+from langflow.io import BoolInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
 from langflow.schema import Data
 
 
@@ -19,7 +18,7 @@ class VectaraVectorStoreComponent(Component):
     inputs = [
         StrInput(name="vectara_customer_id", display_name="Vectara Customer ID", required=True),
         StrInput(name="vectara_corpus_id", display_name="Vectara Corpus ID", required=True),
-        StrInput(name="vectara_api_key", display_name="Vectara API Key", password=True, required=True),
+        SecretStrInput(name="vectara_api_key", display_name="Vectara API Key", required=True),
         HandleInput(
             name="vector_store_inputs",
             display_name="Vector Store Inputs",

src/backend/base/langflow/components/vectorstores/Weaviate.py

@@ -3,10 +3,9 @@ from typing import List
 import weaviate
 from langchain_community.vectorstores import Weaviate
 from langchain_core.retrievers import BaseRetriever
-
 from langflow.custom import Component
 from langflow.helpers.data import docs_to_data
-from langflow.io import BoolInput, HandleInput, IntInput, Output, StrInput
+from langflow.io import BoolInput, HandleInput, IntInput, Output, SecretStrInput, StrInput
 from langflow.schema import Data
 
 
@@ -18,7 +17,7 @@ class WeaviateVectorStoreComponent(Component):
 
     inputs = [
         StrInput(name="url", display_name="Weaviate URL", value="http://localhost:8080", required=True),
-        StrInput(name="api_key", display_name="API Key", password=True, required=False),
+        SecretStrInput(name="api_key", display_name="API Key", required=False),
         StrInput(name="index_name", display_name="Index Name", required=True),
         StrInput(name="text_key", display_name="Text Key", value="text", advanced=True),
         HandleInput(name="embedding", display_name="Embedding", input_types=["Embeddings"]),

src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json

@@ -448,7 +448,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        TextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            multiline=True,\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            type=str,\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
               },
               "input_value": {
                 "advanced": false,

src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json

@@ -326,7 +326,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        TextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            multiline=True,\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            type=str,\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
               },
               "input_value": {
                 "advanced": false,

src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json

@@ -502,7 +502,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        TextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            multiline=True,\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            type=str,\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
               },
               "files": {
                 "advanced": true,

src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json

@@ -363,7 +363,7 @@
                 "show": true,
                 "title_case": false,
                 "type": "code",
-                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        TextInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            multiline=True,\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            type=str,\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"session_id\", type=str, display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True\n        ),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
+                "value": "from langflow.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.io import DropdownInput, FileInput, MultilineInput, Output, TextInput\nfrom langflow.schema.message import Message\n\n\nclass ChatInput(ChatComponent):\n    display_name = \"Chat Input\"\n    description = \"Get chat inputs from the Playground.\"\n    icon = \"ChatInput\"\n\n    inputs = [\n        MultilineInput(\n            name=\"input_value\",\n            display_name=\"Text\",\n            value=\"\",\n            info=\"Message to be passed as input.\",\n        ),\n        DropdownInput(\n            name=\"sender\",\n            display_name=\"Sender Type\",\n            options=[\"Machine\", \"User\"],\n            value=\"User\",\n            info=\"Type of sender.\",\n            advanced=True,\n        ),\n        TextInput(\n            name=\"sender_name\",\n            display_name=\"Sender Name\",\n            info=\"Name of the sender.\",\n            value=\"User\",\n            advanced=True,\n        ),\n        TextInput(name=\"session_id\", display_name=\"Session ID\", info=\"Session ID for the message.\", advanced=True),\n        FileInput(\n            name=\"files\",\n            display_name=\"Files\",\n            file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n            info=\"Files to be sent with the message.\",\n            advanced=True,\n            is_list=True,\n        ),\n    ]\n    outputs = [\n        Output(display_name=\"Message\", name=\"message\", method=\"message_response\"),\n    ]\n\n    def message_response(self) -> Message:\n        message = Message(\n            text=self.input_value,\n            sender=self.sender,\n            sender_name=self.sender_name,\n            session_id=self.session_id,\n            files=self.files,\n        )\n        if self.session_id and isinstance(message, Message) and isinstance(message.text, str):\n            self.store_message(message)\n            self.message.value = message\n\n        self.status = message\n        return message\n"
               },
               "input_value": {
                 "advanced": false,