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refactor: rename TextInput to MessageTextInput

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This commit is contained in:
Gabriel Luiz Freitas Almeida 2024-06-23 17:51:41 -03:00
commit 93a2164543
35 changed files with 119 additions and 112 deletions
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8
src/backend/base/langflow/components/agents/ToolCallingAgent.py
View file

@ -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.",

6
src/backend/base/langflow/components/data/APIRequest.py
View file

@ -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.",

6
src/backend/base/langflow/components/data/Directory.py
View file

@ -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.",

4
src/backend/base/langflow/components/data/URL.py
View file

@ -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.",

9
src/backend/base/langflow/components/embeddings/AmazonBedrockEmbeddings.py
View file

@ -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",
),

6
src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py
View file

@ -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,

6
src/backend/base/langflow/components/embeddings/CohereEmbeddings.py
View file

@ -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),
]

6
src/backend/base/langflow/components/embeddings/HuggingFaceEmbeddings.py
View file

@ -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),
]

6
src/backend/base/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py
View file

@ -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"),
TextInput(name="model_name", display_name="Model Name", value="BAAI/bge-large-en-v1.5"),
MessageTextInput(name="api_url", display_name="API URL", advanced=True, value="http://localhost:8080"),
MessageTextInput(name="model_name", display_name="Model Name", value="BAAI/bge-large-en-v1.5"),
]
outputs = [

4
src/backend/base/langflow/components/embeddings/MistalAIEmbeddings.py
View file

@ -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,

7
src/backend/base/langflow/components/embeddings/OllamaEmbeddings.py
View file

@ -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",

14
src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py
View file

@ -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),
TextInput(name="deployment", display_name="Deployment", advanced=True),
MessageTextInput(name="client", display_name="Client", 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),
TextInput(
MessageTextInput(name="openai_api_version", display_name="OpenAI API Version", advanced=True),
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,

10
src/backend/base/langflow/components/embeddings/VertexAIEmbeddings.py
View file

@ -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,

6
src/backend/base/langflow/components/experimental/ConditionalRouter.py
View file

@ -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.",

8
src/backend/base/langflow/components/experimental/SelectivePassThrough.py
View file

@ -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.",

5
src/backend/base/langflow/components/experimental/SplitText.py
View file

@ -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.",

8
src/backend/base/langflow/components/helpers/CombineText.py
View file

@ -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.",

4
src/backend/base/langflow/components/helpers/CustomComponent.py
View file

@ -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 = [

4
src/backend/base/langflow/components/helpers/FilterData.py
View file

@ -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.",

6
src/backend/base/langflow/components/helpers/Memory.py
View file

@ -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.",

8
src/backend/base/langflow/components/inputs/ChatInput.py
View file

@ -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",

4
src/backend/base/langflow/components/inputs/TextInput.py
View file

@ -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.",

10
src/backend/base/langflow/components/models/AnthropicModel.py
View file

@ -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.",

8
src/backend/base/langflow/components/models/BaiduQianfanChatModel.py
View file

@ -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.",

8
src/backend/base/langflow/components/models/GroqModel.py
View file

@ -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.",

12
src/backend/base/langflow/components/outputs/ChatOutput.py
View file

@ -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),
TextInput(
MessageTextInput(
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}",

4
src/backend/base/langflow/components/outputs/TextOutput.py
View file

@ -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.",

4
src/backend/base/langflow/components/retrievers/CohereRerank.py
View file

@ -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"]),
]

4
src/backend/base/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py
View file

@ -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", " ", ""].',

14
src/backend/base/langflow/components/vectorstores/Cassandra.py
View file

@ -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,
TextInput,
DataInput,
MessageTextInput,
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),
TextInput(
MessageTextInput(name="database_id", display_name="Database ID", info="The Astra database ID.", required=True),
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.",

4
src/backend/base/langflow/inputs/__init__.py
View file

@ -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",
]

6
src/backend/base/langflow/inputs/inputs.py
View file

@ -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,
]

4
src/backend/base/langflow/io/__init__.py
View file

@ -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",
]

4
tests/data/component_multiple_outputs.py
View file

@ -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 = [

4
tests/data/component_nested_call.py
View file

@ -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 = [