refactor: rename TextInput to MessageTextInput

src/backend/base/langflow/components/agents/ToolCallingAgent.py

@@ -5,7 +5,7 @@ from langchain.agents.tool_calling_agent.base import create_tool_calling_agent
 from langchain_core.prompts import ChatPromptTemplate
 
 from langflow.custom import Component
-from langflow.io import BoolInput, HandleInput, Output, TextInput
+from langflow.io import BoolInput, HandleInput, MessageTextInput, Output
 from langflow.schema import Data
 from langflow.schema.message import Message
 
@@ -16,18 +16,18 @@ class ToolCallingAgentComponent(Component):
     icon = "LangChain"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="system_prompt",
             display_name="System Prompt",
             info="System prompt for the agent.",
             value="You are a helpful assistant",
         ),
-        TextInput(
+        MessageTextInput(
             name="input_value",
             display_name="Inputs",
             info="Input text to pass to the agent.",
         ),
-        TextInput(
+        MessageTextInput(
             name="user_prompt",
             display_name="Prompt",
             info="This prompt must contain 'input' key.",

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

@@ -8,7 +8,7 @@ from loguru import logger
 
 from langflow.base.curl.parse import parse_context
 from langflow.custom import Component
-from langflow.io import DataInput, DropdownInput, IntInput, NestedDictInput, Output, TextInput
+from langflow.io import DataInput, DropdownInput, IntInput, MessageTextInput, NestedDictInput, Output
 from langflow.schema import Data
 from langflow.schema.dotdict import dotdict
 
@@ -24,13 +24,13 @@ class APIRequestComponent(Component):
     icon = "Globe"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="urls",
             display_name="URLs",
             is_list=True,
             info="Enter one or more URLs, separated by commas.",
         ),
-        TextInput(
+        MessageTextInput(
             name="curl",
             display_name="Curl",
             info="Paste a curl command to populate the fields. This will fill in the dictionary fields for headers and body.",

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

@@ -2,7 +2,7 @@ from typing import List, Optional
 
 from langflow.base.data.utils import parallel_load_data, parse_text_file_to_data, retrieve_file_paths
 from langflow.custom import Component
-from langflow.io import BoolInput, IntInput, TextInput
+from langflow.io import BoolInput, IntInput, MessageTextInput
 from langflow.schema import Data
 from langflow.template import Output
 
@@ -13,12 +13,12 @@ class DirectoryComponent(Component):
     icon = "folder"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="path",
             display_name="Path",
             info="Path to the directory to load files from.",
         ),
-        TextInput(
+        MessageTextInput(
             name="types",
             display_name="Types",
             info="File types to load. Leave empty to load all types.",

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

@@ -3,7 +3,7 @@ import re
 from langchain_community.document_loaders.web_base import WebBaseLoader
 
 from langflow.custom import Component
-from langflow.io import Output, TextInput
+from langflow.io import MessageTextInput, Output
 from langflow.schema import Data
 
 
@@ -13,7 +13,7 @@ class URLComponent(Component):
     icon = "layout-template"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="urls",
             display_name="URLs",
             info="Enter one or more URLs, separated by commas.",

src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py

@@ -1,7 +1,8 @@
 from langchain_community.embeddings import BedrockEmbeddings
+
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import DropdownInput, Output, TextInput
+from langflow.io import DropdownInput, MessageTextInput, Output
 
 
 class AmazonBedrockEmbeddingsComponent(LCModelComponent):
@@ -17,15 +18,15 @@ class AmazonBedrockEmbeddingsComponent(LCModelComponent):
             options=["amazon.titan-embed-text-v1"],
             value="amazon.titan-embed-text-v1",
         ),
-        TextInput(
+        MessageTextInput(
             name="credentials_profile_name",
             display_name="Credentials Profile Name",
         ),
-        TextInput(
+        MessageTextInput(
             name="endpoint_url",
             display_name="Bedrock Endpoint URL",
         ),
-        TextInput(
+        MessageTextInput(
             name="region_name",
             display_name="AWS Region",
         ),

src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py

@@ -3,7 +3,7 @@ from pydantic.v1 import SecretStr
 
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import DropdownInput, IntInput, Output, SecretStrInput, TextInput
+from langflow.io import DropdownInput, IntInput, MessageTextInput, Output, SecretStrInput
 
 
 class AzureOpenAIEmbeddingsComponent(LCModelComponent):
@@ -22,13 +22,13 @@ class AzureOpenAIEmbeddingsComponent(LCModelComponent):
     ]
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="azure_endpoint",
             display_name="Azure Endpoint",
             required=True,
             info="Your Azure endpoint, including the resource. Example: `https://example-resource.azure.openai.com/`",
         ),
-        TextInput(
+        MessageTextInput(
             name="azure_deployment",
             display_name="Deployment Name",
             required=True,

src/backend/base/langflow/components/embeddings/CohereEmbeddings.py

@@ -2,7 +2,7 @@ from langchain_community.embeddings.cohere import CohereEmbeddings
 
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import DropdownInput, FloatInput, IntInput, Output, SecretStrInput, TextInput
+from langflow.io import DropdownInput, FloatInput, IntInput, MessageTextInput, Output, SecretStrInput
 
 
 class CohereEmbeddingsComponent(LCModelComponent):
@@ -23,9 +23,9 @@ class CohereEmbeddingsComponent(LCModelComponent):
             ],
             value="embed-english-v2.0",
         ),
-        TextInput(name="truncate", display_name="Truncate", advanced=True),
+        MessageTextInput(name="truncate", display_name="Truncate", advanced=True),
         IntInput(name="max_retries", display_name="Max Retries", value=3, advanced=True),
-        TextInput(name="user_agent", display_name="User Agent", advanced=True, value="langchain"),
+        MessageTextInput(name="user_agent", display_name="User Agent", advanced=True, value="langchain"),
         FloatInput(name="request_timeout", display_name="Request Timeout", advanced=True),
     ]
 

src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py

@@ -2,7 +2,7 @@ from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
 
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import BoolInput, DictInput, TextInput, Output
+from langflow.io import BoolInput, DictInput, MessageTextInput, Output
 
 
 class HuggingFaceEmbeddingsComponent(LCModelComponent):
@@ -14,10 +14,10 @@ class HuggingFaceEmbeddingsComponent(LCModelComponent):
     icon = "HuggingFace"
 
     inputs = [
-        TextInput(name="cache_folder", display_name="Cache Folder", advanced=True),
+        MessageTextInput(name="cache_folder", display_name="Cache Folder", advanced=True),
         DictInput(name="encode_kwargs", display_name="Encode Kwargs", advanced=True),
         DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
-        TextInput(name="model_name", display_name="Model Name", value="sentence-transformers/all-mpnet-base-v2"),
+        MessageTextInput(name="model_name", display_name="Model Name", value="sentence-transformers/all-mpnet-base-v2"),
         BoolInput(name="multi_process", display_name="Multi Process", advanced=True),
     ]
 

src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py

@@ -3,7 +3,7 @@ from pydantic.v1.types import SecretStr
 
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import Output, SecretStrInput, TextInput
+from langflow.io import MessageTextInput, Output, SecretStrInput
 
 
 class HuggingFaceInferenceAPIEmbeddingsComponent(LCModelComponent):
@@ -14,8 +14,8 @@ class HuggingFaceInferenceAPIEmbeddingsComponent(LCModelComponent):
 
     inputs = [
         SecretStrInput(name="api_key", display_name="API Key", advanced=True),
-        TextInput(name="api_url", display_name="API URL", advanced=True, value="http://localhost:8080"),
+        MessageTextInput(name="api_url", display_name="API URL", advanced=True, value="http://localhost:8080"),
-        TextInput(name="model_name", display_name="Model Name", value="BAAI/bge-large-en-v1.5"),
+        MessageTextInput(name="model_name", display_name="Model Name", value="BAAI/bge-large-en-v1.5"),
     ]
 
     outputs = [

src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py

@@ -3,7 +3,7 @@ from pydantic.v1 import SecretStr
 
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import DropdownInput, IntInput, Output, SecretStrInput, TextInput
+from langflow.io import DropdownInput, IntInput, MessageTextInput, Output, SecretStrInput
 
 
 class MistralAIEmbeddingsComponent(LCModelComponent):
@@ -28,7 +28,7 @@ class MistralAIEmbeddingsComponent(LCModelComponent):
         ),
         IntInput(name="max_retries", display_name="Max Retries", advanced=True, value=5),
         IntInput(name="timeout", display_name="Request Timeout", advanced=True, value=120),
-        TextInput(
+        MessageTextInput(
             name="endpoint",
             display_name="API Endpoint",
             advanced=True,

src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py

@@ -1,7 +1,8 @@
 from langchain_community.embeddings import OllamaEmbeddings
+
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import FloatInput, Output, TextInput
+from langflow.io import FloatInput, MessageTextInput, Output
 
 
 class OllamaEmbeddingsComponent(LCModelComponent):
@@ -11,12 +12,12 @@ class OllamaEmbeddingsComponent(LCModelComponent):
     icon = "Ollama"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="model",
             display_name="Ollama Model",
             value="llama2",
         ),
-        TextInput(
+        MessageTextInput(
             name="base_url",
             display_name="Ollama Base URL",
             value="http://localhost:11434",

src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py

@@ -2,7 +2,7 @@ from langchain_openai.embeddings.base import OpenAIEmbeddings
 
 from langflow.base.embeddings.model import LCEmbeddingsModel
 from langflow.field_typing import Embeddings
-from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, SecretStrInput, TextInput
+from langflow.io import BoolInput, DictInput, DropdownInput, FloatInput, IntInput, MessageTextInput, SecretStrInput
 
 
 class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
@@ -23,8 +23,8 @@ class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
             info="Default query parameters to use for the API request.",
         ),
         IntInput(name="chunk_size", display_name="Chunk Size", advanced=True, value=1000),
-        TextInput(name="client", display_name="Client", advanced=True),
+        MessageTextInput(name="client", display_name="Client", advanced=True),
-        TextInput(name="deployment", display_name="Deployment", advanced=True),
+        MessageTextInput(name="deployment", display_name="Deployment", advanced=True),
         IntInput(name="embedding_ctx_length", display_name="Embedding Context Length", advanced=True, value=1536),
         IntInput(name="max_retries", display_name="Max Retries", value=3, advanced=True),
         DropdownInput(
@@ -42,17 +42,17 @@ class OpenAIEmbeddingsComponent(LCEmbeddingsModel):
         SecretStrInput(name="openai_api_base", display_name="OpenAI API Base", advanced=True),
         SecretStrInput(name="openai_api_key", display_name="OpenAI API Key"),
         SecretStrInput(name="openai_api_type", display_name="OpenAI API Type", advanced=True),
-        TextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
+        MessageTextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
-        TextInput(
+        MessageTextInput(
             name="openai_organization",
             display_name="OpenAI Organization",
             advanced=True,
         ),
-        TextInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
+        MessageTextInput(name="openai_proxy", display_name="OpenAI Proxy", advanced=True),
         FloatInput(name="request_timeout", display_name="Request Timeout", advanced=True),
         BoolInput(name="show_progress_bar", display_name="Show Progress Bar", advanced=True),
         BoolInput(name="skip_empty", display_name="Skip Empty", advanced=True),
-        TextInput(
+        MessageTextInput(
             name="tiktoken_model_name",
             display_name="TikToken Model Name",
             advanced=True,

src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py

@@ -1,6 +1,6 @@
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import Embeddings
-from langflow.io import BoolInput, DictInput, FileInput, FloatInput, IntInput, Output, TextInput
+from langflow.io import BoolInput, DictInput, FileInput, FloatInput, IntInput, MessageTextInput, Output
 
 
 class VertexAIEmbeddingsComponent(LCModelComponent):
@@ -20,7 +20,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
             display_name="Instance",
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="location",
             display_name="Location",
             value="us-central1",
@@ -37,7 +37,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
             value=6,
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="model_name",
             display_name="Model Name",
             value="textembedding-gecko",
@@ -48,7 +48,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
             value=1,
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="project",
             display_name="Project",
             advanced=True,
@@ -59,7 +59,7 @@ class VertexAIEmbeddingsComponent(LCModelComponent):
             value=5,
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="stop",
             display_name="Stop",
             advanced=True,

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

@@ -1,5 +1,5 @@
 from langflow.custom import Component
-from langflow.io import BoolInput, DropdownInput, MessageInput, Output, TextInput
+from langflow.io import BoolInput, DropdownInput, MessageInput, MessageTextInput, Output
 from langflow.schema.message import Message
 
 
@@ -9,12 +9,12 @@ class ConditionalRouterComponent(Component):
     icon = "equal"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="input_text",
             display_name="Input Text",
             info="The primary text input for the operation.",
         ),
-        TextInput(
+        MessageTextInput(
             name="match_text",
             display_name="Match Text",
             info="The text input to compare against.",

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

@@ -1,6 +1,6 @@
 from langflow.custom import Component
 from langflow.field_typing import Text
-from langflow.io import BoolInput, DropdownInput, Output, TextInput
+from langflow.io import BoolInput, DropdownInput, MessageTextInput, Output
 
 
 class SelectivePassThroughComponent(Component):
@@ -9,12 +9,12 @@ class SelectivePassThroughComponent(Component):
     icon = "filter"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="input_value",
             display_name="Input Value",
             info="The primary input value to evaluate.",
         ),
-        TextInput(
+        MessageTextInput(
             name="comparison_value",
             display_name="Comparison Value",
             info="The value to compare against the input value.",
@@ -25,7 +25,7 @@ class SelectivePassThroughComponent(Component):
             options=["equals", "not equals", "contains", "starts with", "ends with"],
             info="Condition to evaluate the input value.",
         ),
-        TextInput(
+        MessageTextInput(
             name="value_to_pass",
             display_name="Value to Pass",
             info="The value to pass if the condition is met.",

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

@@ -1,8 +1,9 @@
 from typing import List
 
 from langchain_text_splitters import CharacterTextSplitter
+
 from langflow.custom import Component
-from langflow.io import HandleInput, IntInput, Output, TextInput
+from langflow.io import HandleInput, IntInput, MessageTextInput, Output
 from langflow.schema import Data
 from langflow.utils.util import unescape_string
 
@@ -32,7 +33,7 @@ class SplitTextComponent(Component):
             info="The maximum number of characters in each chunk.",
             value=1000,
         ),
-        TextInput(
+        MessageTextInput(
             name="separator",
             display_name="Separator",
             info="The character to split on. Defaults to newline.",

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

@@ -1,5 +1,5 @@
 from langflow.custom import Component
-from langflow.io import Output, TextInput
+from langflow.io import MessageTextInput, Output
 from langflow.schema.message import Message
 
 
@@ -9,17 +9,17 @@ class CombineTextComponent(Component):
     icon = "merge"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="text1",
             display_name="First Text",
             info="The first text input to concatenate.",
         ),
-        TextInput(
+        MessageTextInput(
             name="text2",
             display_name="Second Text",
             info="The second text input to concatenate.",
         ),
-        TextInput(
+        MessageTextInput(
             name="delimiter",
             display_name="Delimiter",
             info="A string used to separate the two text inputs. Defaults to a whitespace.",

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

@@ -1,6 +1,6 @@
 # from langflow.field_typing import Data
 from langflow.custom import Component
-from langflow.io import Output, TextInput
+from langflow.io import MessageTextInput, Output
 from langflow.schema import Data
 
 
@@ -11,7 +11,7 @@ class CustomComponent(Component):
     icon = "custom_components"
 
     inputs = [
-        TextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
+        MessageTextInput(name="input_value", display_name="Input Value", value="Hello, World!"),
     ]
 
     outputs = [

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

@@ -1,7 +1,7 @@
 from typing import List
 
 from langflow.custom import Component
-from langflow.io import DataInput, Output, TextInput
+from langflow.io import DataInput, MessageTextInput, Output
 from langflow.schema import Data
 
 
@@ -16,7 +16,7 @@ class FilterDataComponent(Component):
             display_name="Data",
             info="Data object to filter.",
         ),
-        TextInput(
+        MessageTextInput(
             name="filter_criteria",
             display_name="Filter Criteria",
             info="List of keys to filter by.",

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

@@ -1,6 +1,6 @@
 from langflow.custom import Component
 from langflow.helpers.data import data_to_text
-from langflow.io import DropdownInput, IntInput, MultilineInput, Output, TextInput
+from langflow.io import DropdownInput, IntInput, MessageTextInput, MultilineInput, Output
 from langflow.memory import get_messages
 from langflow.schema import Data
 from langflow.schema.message import Message
@@ -20,7 +20,7 @@ class MemoryComponent(Component):
             info="Type of sender.",
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="sender_name",
             display_name="Sender Name",
             info="Name of the sender.",
@@ -33,7 +33,7 @@ class MemoryComponent(Component):
             info="Number of messages to retrieve.",
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="session_id",
             display_name="Session ID",
             info="Session ID of the chat history.",

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, MultilineInput, Output, TextInput
+from langflow.io import DropdownInput, FileInput, MessageTextInput, MultilineInput, Output
 from langflow.schema.message import Message
 
 
@@ -24,14 +24,16 @@ class ChatInput(ChatComponent):
             info="Type of sender.",
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="sender_name",
             display_name="Sender Name",
             info="Name of the sender.",
             value="User",
             advanced=True,
         ),
-        TextInput(name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True),
+        MessageTextInput(
+            name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True
+        ),
         FileInput(
             name="files",
             display_name="Files",

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

@@ -1,5 +1,5 @@
 from langflow.base.io.text import TextComponent
-from langflow.io import Output, TextInput
+from langflow.io import MessageTextInput, Output
 from langflow.schema.message import Message
 
 
@@ -9,7 +9,7 @@ class TextInputComponent(TextComponent):
     icon = "type"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="input_value",
             display_name="Text",
             info="Text to be passed as input.",

src/backend/base/langflow/components/models/AnthropicModel.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 LanguageModel
-from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, Output, SecretStrInput, TextInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageTextInput, Output, SecretStrInput
 
 
 class AnthropicModelComponent(LCModelComponent):
@@ -13,7 +13,7 @@ class AnthropicModelComponent(LCModelComponent):
     icon = "Anthropic"
 
     inputs = [
-        TextInput(name="input_value", display_name="Input"),
+        MessageTextInput(name="input_value", display_name="Input"),
         IntInput(
             name="max_tokens",
             display_name="Max Tokens",
@@ -39,20 +39,20 @@ class AnthropicModelComponent(LCModelComponent):
             info="Your Anthropic API key.",
         ),
         FloatInput(name="temperature", display_name="Temperature", value=0.1),
-        TextInput(
+        MessageTextInput(
             name="anthropic_api_url",
             display_name="Anthropic API URL",
             advanced=True,
             info="Endpoint of the Anthropic API. Defaults to 'https://api.anthropic.com' if not specified.",
         ),
         BoolInput(name="stream", display_name="Stream", info=STREAM_INFO_TEXT, advanced=True, value=False),
-        TextInput(
+        MessageTextInput(
             name="system_message",
             display_name="System Message",
             info="System message to pass to the model.",
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="prefill",
             display_name="Prefill",
             info="Prefill text to guide the model's response.",

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.constants import LanguageModel
-from langflow.io import BoolInput, DropdownInput, FloatInput, Output, SecretStrInput, TextInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, MessageTextInput, Output, SecretStrInput
 
 
 class QianfanChatEndpointComponent(LCModelComponent):
@@ -14,7 +14,7 @@ class QianfanChatEndpointComponent(LCModelComponent):
     icon = "BaiduQianfan"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="input_value",
             display_name="Input",
         ),
@@ -66,7 +66,7 @@ class QianfanChatEndpointComponent(LCModelComponent):
             value=1.0,
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="endpoint",
             display_name="Endpoint",
             info="Endpoint of the Qianfan LLM, required if custom model used.",
@@ -77,7 +77,7 @@ class QianfanChatEndpointComponent(LCModelComponent):
             info=STREAM_INFO_TEXT,
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="system_message",
             display_name="System Message",
             info="System message to pass to the model.",

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

@@ -5,7 +5,7 @@ from langflow.base.constants import STREAM_INFO_TEXT
 from langflow.base.models.groq_constants import MODEL_NAMES
 from langflow.base.models.model import LCModelComponent
 from langflow.field_typing import LanguageModel
-from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, SecretStrInput, TextInput
+from langflow.io import BoolInput, DropdownInput, FloatInput, IntInput, MessageTextInput, SecretStrInput
 
 
 class GroqModel(LCModelComponent):
@@ -19,7 +19,7 @@ class GroqModel(LCModelComponent):
             display_name="Groq API Key",
             info="API key for the Groq API.",
         ),
-        TextInput(
+        MessageTextInput(
             name="groq_api_base",
             display_name="Groq API Base",
             info="Base URL path for API requests, leave blank if not using a proxy or service emulator.",
@@ -49,7 +49,7 @@ class GroqModel(LCModelComponent):
             info="The name of the model to use.",
             options=MODEL_NAMES,
         ),
-        TextInput(
+        MessageTextInput(
             name="input_value",
             display_name="Input",
             info="The input to the model.",
@@ -60,7 +60,7 @@ class GroqModel(LCModelComponent):
             info=STREAM_INFO_TEXT,
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="system_message",
             display_name="System Message",
             info="System message to pass to the model.",

src/backend/base/langflow/components/outputs/ChatOutput.py

@@ -1,5 +1,5 @@
 from langflow.base.io.chat import ChatComponent
-from langflow.io import DropdownInput, Output, TextInput
+from langflow.io import DropdownInput, MessageTextInput, Output
 from langflow.schema.message import Message
 
 
@@ -9,7 +9,7 @@ class ChatOutput(ChatComponent):
     icon = "ChatOutput"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="input_value",
             display_name="Text",
             info="Message to be passed as output.",
@@ -22,11 +22,13 @@ class ChatOutput(ChatComponent):
             advanced=True,
             info="Type of sender.",
         ),
-        TextInput(
+        MessageTextInput(
             name="sender_name", display_name="Sender Name", info="Name of the sender.", value="AI", advanced=True
         ),
-        TextInput(name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True),
+        MessageTextInput(
-        TextInput(
+            name="session_id", display_name="Session ID", info="Session ID for the message.", advanced=True
+        ),
+        MessageTextInput(
             name="data_template",
             display_name="Data Template",
             value="{text}",

src/backend/base/langflow/components/outputs/TextOutput.py

@@ -1,5 +1,5 @@
 from langflow.base.io.text import TextComponent
-from langflow.io import Output, TextInput
+from langflow.io import MessageTextInput, Output
 from langflow.schema.message import Message
 
 
@@ -9,7 +9,7 @@ class TextOutputComponent(TextComponent):
     icon = "type"
 
     inputs = [
-        TextInput(
+        MessageTextInput(
             name="input_value",
             display_name="Text",
             info="Text to be passed as output.",

src/backend/base/langflow/components/retrievers/CohereRerank.py

@@ -5,7 +5,7 @@ from langchain_cohere import CohereRerank
 
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.field_typing import Retriever
-from langflow.io import DropdownInput, HandleInput, IntInput, MultilineInput, SecretStrInput, TextInput
+from langflow.io import DropdownInput, HandleInput, IntInput, MessageTextInput, MultilineInput, SecretStrInput
 from langflow.schema import Data
 
 
@@ -32,7 +32,7 @@ class CohereRerankComponent(LCVectorStoreComponent):
         ),
         SecretStrInput(name="api_key", display_name="API Key"),
         IntInput(name="top_n", display_name="Top N", value=3),
-        TextInput(name="user_agent", display_name="User Agent", value="langflow", advanced=True),
+        MessageTextInput(name="user_agent", display_name="User Agent", value="langflow", advanced=True),
         HandleInput(name="retriever", display_name="Retriever", input_types=["Retriever"]),
     ]
 

src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py

@@ -1,7 +1,7 @@
 from langchain_text_splitters import RecursiveCharacterTextSplitter
 
 from langflow.custom import Component
-from langflow.inputs.inputs import DataInput, IntInput, TextInput
+from langflow.inputs.inputs import DataInput, IntInput, MessageTextInput
 from langflow.schema import Data
 from langflow.template.field.base import Output
 from langflow.utils.util import build_loader_repr_from_data, unescape_string
@@ -31,7 +31,7 @@ class RecursiveCharacterTextSplitterComponent(Component):
             info="The texts to split.",
             input_types=["Document", "Data"],
         ),
-        TextInput(
+        MessageTextInput(
             name="separators",
             display_name="Separators",
             info='The characters to split on.\nIf left empty defaults to ["\\n\\n", "\\n", " ", ""].',

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

@@ -5,13 +5,13 @@ from langchain_community.vectorstores import Cassandra
 from langflow.base.vectorstores.model import LCVectorStoreComponent
 from langflow.helpers.data import docs_to_data
 from langflow.io import (
+    DataInput,
     DropdownInput,
     HandleInput,
     IntInput,
-    SecretStrInput,
+    MessageTextInput,
-    TextInput,
-    DataInput,
     MultilineInput,
+    SecretStrInput,
 )
 from langflow.schema import Data
 
@@ -29,14 +29,14 @@ class CassandraVectorStoreComponent(LCVectorStoreComponent):
             info="Authentication token for accessing Cassandra on Astra DB.",
             required=True,
         ),
-        TextInput(name="database_id", display_name="Database ID", info="The Astra database ID.", required=True),
+        MessageTextInput(name="database_id", display_name="Database ID", info="The Astra database ID.", required=True),
-        TextInput(
+        MessageTextInput(
             name="table_name",
             display_name="Table Name",
             info="The name of the table where vectors will be stored.",
             required=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="keyspace",
             display_name="Keyspace",
             info="Optional key space within Astra DB. The keyspace should already be created.",
@@ -55,7 +55,7 @@ class CassandraVectorStoreComponent(LCVectorStoreComponent):
             value=16,
             advanced=True,
         ),
-        TextInput(
+        MessageTextInput(
             name="body_index_options",
             display_name="Body Index Options",
             info="Optional options used to create the body index.",

src/backend/base/langflow/inputs/__init__.py

@@ -8,12 +8,12 @@ from .inputs import (
     HandleInput,
     IntInput,
     MessageInput,
+    MessageTextInput,
     MultilineInput,
     NestedDictInput,
     PromptInput,
     SecretStrInput,
     StrInput,
-    TextInput,
 )
 
 __all__ = [
@@ -31,5 +31,5 @@ __all__ = [
     "PromptInput",
     "SecretStrInput",
     "StrInput",
-    "TextInput",
+    "MessageTextInput",
 ]

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

@@ -116,7 +116,7 @@ class MessageInput(StrInput, InputTraceMixin):
         raise ValueError(f"Invalid value type {type(v)}")
 
 
-class TextInput(StrInput, MetadataTraceMixin, InputTraceMixin):
+class MessageTextInput(StrInput, MetadataTraceMixin, InputTraceMixin):
     """
     Represents a text input component for the Langflow system.
 
@@ -165,7 +165,7 @@ class TextInput(StrInput, MetadataTraceMixin, InputTraceMixin):
         return value
 
 
-class MultilineInput(TextInput, MultilineMixin, InputTraceMixin):
+class MultilineInput(MessageTextInput, MultilineMixin, InputTraceMixin):
     """
     Represents a multiline input field.
 
@@ -317,6 +317,6 @@ InputTypes = Union[
     PromptInput,
     SecretStrInput,
     StrInput,
-    TextInput,
+    MessageTextInput,
     MessageInput,
 ]

src/backend/base/langflow/io/__init__.py

@@ -8,12 +8,12 @@ from langflow.inputs import (
     HandleInput,
     IntInput,
     MessageInput,
+    MessageTextInput,
     MultilineInput,
     NestedDictInput,
     PromptInput,
     SecretStrInput,
     StrInput,
-    TextInput,
 )
 from langflow.template import Output
 
@@ -32,6 +32,6 @@ __all__ = [
     "PromptInput",
     "SecretStrInput",
     "StrInput",
-    "TextInput",
+    "MessageTextInput",
     "Output",
 ]

tests/data/component_multiple_outputs.py

@@ -1,11 +1,11 @@
 from langflow.custom import Component
-from langflow.inputs.inputs import IntInput, TextInput
+from langflow.inputs.inputs import IntInput, MessageTextInput
 from langflow.template.field.base import Output
 
 
 class MultipleOutputsComponent(Component):
     inputs = [
-        TextInput(display_name="Input", name="input"),
+        MessageTextInput(display_name="Input", name="input"),
         IntInput(display_name="Number", name="number"),
     ]
     outputs = [

tests/data/component_nested_call.py

@@ -1,13 +1,13 @@
 from random import randint
 
 from langflow.custom import Component
-from langflow.inputs.inputs import IntInput, TextInput
+from langflow.inputs.inputs import IntInput, MessageTextInput
 from langflow.template.field.base import Output
 
 
 class MultipleOutputsComponent(Component):
     inputs = [
-        TextInput(display_name="Input", name="input"),
+        MessageTextInput(display_name="Input", name="input"),
         IntInput(display_name="Number", name="number"),
     ]
     outputs = [