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Merge branch 'release' into bugfix-duplicate

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Gabriel Luiz Freitas Almeida 2023-06-27 13:15:49 -03:00 • committed by GitHub
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README.md
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@ -13,8 +13,9 @@
<img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" /> <img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" />
</p> </p>
<p> <p>
<a href="https://discord.gg/FUhJnnJ9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/FUhJnnJ9?compact=true&style=flat"/></a> <a href="https://discord.gg/EqksyE2EX9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat"/></a>
<a href="https://huggingface.co/spaces/Logspace/LangFlow"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="HuggingFace Spaces"></a> <a href="https://huggingface.co/spaces/Logspace/LangFlow"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="HuggingFace Spaces"></a>
</p> </p>

138
poetry.lock generated
View file

@ -296,14 +296,14 @@ tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pyte
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] ]
[package.dependencies] [package.dependencies]
numpy = ">=1.19.5,<1.27.0" numpy = ">=1.21.6,<1.28.0"
[package.extras] [package.extras]
dev = ["click", "doit (>=0.36.0)", "flake8", "mypy", "pycodestyle", "pydevtool", "rich-click", "typing_extensions"] dev = ["click", "cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy", "pycodestyle", "pydevtool", "rich-click", "ruff", "types-psutil", "typing_extensions"]
doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"] doc = ["jupytext", "matplotlib (>2)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-design (>=0.2.0)"]
test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"] test = ["asv", "gmpy2", "mpmath", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
[[package]] [[package]]
@ -7117,4 +7115,4 @@ deploy = ["langchain-serve"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9,<3.12" python-versions = ">=3.9,<3.12"
content-hash = "e7b18762564269aaf9c6b046fa151f5e3acf85444f38653503341f658155e70a" content-hash = "2f8373e1c80ce345f39ed9247fd4759ae94b5c754c4e850d3aa72183556eb92b"

6
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "langflow" name = "langflow"
version = "0.1.7" version = "0.2.2"
description = "A Python package with a built-in web application" description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"] authors = ["Logspace <contact@logspace.ai>"]
maintainers = [ maintainers = [
@ -30,7 +30,7 @@ google-search-results = "^2.4.1"
google-api-python-client = "^2.79.0" google-api-python-client = "^2.79.0"
typer = "^0.9.0" typer = "^0.9.0"
gunicorn = "^20.1.0" gunicorn = "^20.1.0"
langchain = "^0.0.211" langchain = "^0.0.215"
openai = "^0.27.8" openai = "^0.27.8"
types-pyyaml = "^6.0.12.8" types-pyyaml = "^6.0.12.8"
pandas = "^1.5.3" pandas = "^1.5.3"
@ -72,7 +72,7 @@ pymongo = "^4.4.0"
certifi = "^2023.5.7" certifi = "^2023.5.7"
[tool.poetry.group.dev.dependencies] [tool.poetry.dev-dependencies]
black = "^23.1.0" black = "^23.1.0"
ipykernel = "^6.21.2" ipykernel = "^6.21.2"
mypy = "^1.1.1" mypy = "^1.1.1"

54
src/backend/langflow/__main__.py
View file

@ -1,6 +1,5 @@
import sys import sys
import time import time
from fastapi import FastAPI
import httpx import httpx
from multiprocess import Process, cpu_count # type: ignore from multiprocess import Process, cpu_count # type: ignore
import platform import platform
@ -11,9 +10,7 @@ from rich.panel import Panel
from rich import box from rich import box
from rich import print as rprint from rich import print as rprint
import typer import typer
from fastapi.staticfiles import StaticFiles from langflow.main import setup_app
from fastapi.responses import FileResponse
from langflow.main import create_app
from langflow.settings import settings from langflow.settings import settings
from langflow.utils.logger import configure, logger from langflow.utils.logger import configure, logger
import webbrowser import webbrowser
@ -30,6 +27,7 @@ def get_number_of_workers(workers=None):
def update_settings( def update_settings(
config: str, config: str,
cache: str,
dev: bool = False, dev: bool = False,
database_url: Optional[str] = None, database_url: Optional[str] = None,
remove_api_keys: bool = False, remove_api_keys: bool = False,
@ -41,6 +39,8 @@ def update_settings(
settings.update_settings(database_url=database_url) settings.update_settings(database_url=database_url)
if remove_api_keys: if remove_api_keys:
settings.update_settings(remove_api_keys=remove_api_keys) settings.update_settings(remove_api_keys=remove_api_keys)
if cache:
settings.update_settings(cache=cache)
def serve_on_jcloud(): def serve_on_jcloud():
@ -102,6 +102,11 @@ def serve(
), ),
log_level: str = typer.Option("critical", help="Logging level."), log_level: str = typer.Option("critical", help="Logging level."),
log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."), log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."),
cache: str = typer.Argument(
envvar="LANGCHAIN_CACHE",
help="Type of cache to use. (InMemoryCache, SQLiteCache)",
default="SQLiteCache",
),
jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"), jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"), dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
database_url: str = typer.Option( database_url: str = typer.Option(
@ -130,17 +135,15 @@ def serve(
configure(log_level=log_level, log_file=log_file) configure(log_level=log_level, log_file=log_file)
update_settings( update_settings(
config, dev=dev, database_url=database_url, remove_api_keys=remove_api_keys config,
dev=dev,
database_url=database_url,
remove_api_keys=remove_api_keys,
cache=cache,
) )
# get the directory of the current file # create path object if path is provided
if not path: static_files_dir: Optional[Path] = Path(path) if path else None
frontend_path = Path(__file__).parent app = setup_app(static_files_dir=static_files_dir)
static_files_dir = frontend_path / "frontend"
else:
static_files_dir = Path(path)
app = create_app()
setup_static_files(app, static_files_dir)
# check if port is being used # check if port is being used
if is_port_in_use(port, host): if is_port_in_use(port, host):
port = get_free_port(port) port = get_free_port(port)
@ -188,29 +191,6 @@ def run_on_windows(host, port, log_level, options, app):
run_langflow(host, port, log_level, options, app) run_langflow(host, port, log_level, options, app)
def setup_static_files(app: FastAPI, static_files_dir: Path):
"""
Setup the static files directory.
Args:
app (FastAPI): FastAPI app.
path (str): Path to the static files directory.
"""
app.mount(
"/",
StaticFiles(directory=static_files_dir, html=True),
name="static",
)
@app.exception_handler(404)
async def custom_404_handler(request, __):
path = static_files_dir / "index.html"
if not path.exists():
raise RuntimeError(f"File at path {path} does not exist.")
return FileResponse(path)
def is_port_in_use(port, host="localhost"): def is_port_in_use(port, host="localhost"):
""" """
Check if a port is in use. Check if a port is in use.

2
src/backend/langflow/chat/config.py Normal file
View file

@ -0,0 +1,2 @@
class ChatConfig:
streaming: bool = True

2
src/backend/langflow/chat/manager.py
View file

@ -209,3 +209,5 @@ class ChatManager:
except Exception as e: except Exception as e:
logger.error(e) logger.error(e)
self.disconnect(client_id) self.disconnect(client_id)

362
src/backend/langflow/config.yaml
View file

@ -1,141 +1,247 @@
---
agents: agents:
- ZeroShotAgent ZeroShotAgent:
- JsonAgent documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
- CSVAgent JsonAgent:
- AgentInitializer documentation: "https://python.langchain.com/docs/modules/agents/toolkits/openapi"
- VectorStoreAgent CSVAgent:
- VectorStoreRouterAgent documentation: "https://python.langchain.com/docs/modules/agents/toolkits/csv"
- SQLAgent AgentInitializer:
documentation: "https://python.langchain.com/docs/modules/agents/agent_types/"
VectorStoreAgent:
documentation: ""
VectorStoreRouterAgent:
documentation: ""
SQLAgent:
documentation: ""
chains: chains:
- LLMChain LLMChain:
- LLMMathChain documentation: "https://python.langchain.com/docs/modules/chains/foundational/llm_chain"
- LLMCheckerChain LLMMathChain:
- ConversationChain documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_math"
- SeriesCharacterChain LLMCheckerChain:
- MidJourneyPromptChain documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
- TimeTravelGuideChain ConversationChain:
- SQLDatabaseChain documentation: ""
- RetrievalQA SeriesCharacterChain:
- RetrievalQAWithSourcesChain documentation: ""
- ConversationalRetrievalChain MidJourneyPromptChain:
- CombineDocsChain documentation: ""
TimeTravelGuideChain:
documentation: ""
SQLDatabaseChain:
documentation: ""
RetrievalQA:
documentation: "https://python.langchain.com/docs/modules/chains/popular/vector_db_qa"
RetrievalQAWithSourcesChain:
documentation: ""
ConversationalRetrievalChain:
documentation: "https://python.langchain.com/docs/modules/chains/popular/chat_vector_db"
CombineDocsChain:
documentation: ""
documentloaders: documentloaders:
- AirbyteJSONLoader AirbyteJSONLoader:
- CoNLLULoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
- CSVLoader CoNLLULoader:
- UnstructuredEmailLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u"
- EverNoteLoader CSVLoader:
- FacebookChatLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv"
- GutenbergLoader UnstructuredEmailLoader:
- BSHTMLLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email"
- UnstructuredHTMLLoader EverNoteLoader:
# - UnstructuredImageLoader # Issue with Python 3.11 (https://github.com/Unstructured-IO/unstructured-inference/issues/83) documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote"
- UnstructuredMarkdownLoader FacebookChatLoader:
- PyPDFLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat"
- UnstructuredPowerPointLoader GutenbergLoader:
- SRTLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg"
- TelegramChatLoader BSHTMLLoader:
- TextLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
- UnstructuredWordDocumentLoader UnstructuredHTMLLoader:
- WebBaseLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
- AZLyricsLoader UnstructuredMarkdownLoader:
- CollegeConfidentialLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown"
- HNLoader PyPDFLoader:
- IFixitLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
- IMSDbLoader UnstructuredPowerPointLoader:
- GitbookLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint"
- ReadTheDocsLoader SRTLoader:
- SlackDirectoryLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle"
- NotionDirectoryLoader TelegramChatLoader:
- DirectoryLoader documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/telegram"
- GitLoader TextLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/"
UnstructuredWordDocumentLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
WebBaseLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base"
AZLyricsLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics"
CollegeConfidentialLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential"
HNLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news"
IFixitLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit"
IMSDbLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb"
GitbookLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook"
ReadTheDocsLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation"
SlackDirectoryLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack"
NotionDirectoryLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion"
DirectoryLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory"
GitLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git"
embeddings: embeddings:
- OpenAIEmbeddings OpenAIEmbeddings:
- HuggingFaceEmbeddings documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai"
- CohereEmbeddings HuggingFaceEmbeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
CohereEmbeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
llms: llms:
- OpenAI OpenAI:
# - AzureOpenAI documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"
# - AzureChatOpenAI ChatOpenAI:
- ChatOpenAI documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai"
- LlamaCpp LlamaCpp:
- CTransformers documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
- Cohere CTransformers:
- Anthropic documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
- ChatAnthropic Cohere:
- HuggingFaceHub documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
Anthropic:
documentation: ""
ChatAnthropic:
documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
HuggingFaceHub:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub"
memories: memories:
- ConversationBufferMemory ConversationBufferMemory:
- ConversationSummaryMemory documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
- ConversationKGMemory ConversationSummaryMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
ConversationKGMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/kg"
ConversationBufferWindowMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/buffer_window"
VectorStoreRetrieverMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
prompts: prompts:
- PromptTemplate PromptTemplate:
- FewShotPromptTemplate documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/"
- ZeroShotPrompt ZeroShotPrompt:
documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
textsplitters: textsplitters:
- CharacterTextSplitter CharacterTextSplitter:
- RecursiveCharacterTextSplitter documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter"
# - LatexTextSplitter RecursiveCharacterTextSplitter:
# - PythonCodeTextSplitter documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/recursive_text_splitter"
toolkits: toolkits:
- OpenAPIToolkit OpenAPIToolkit:
- JsonToolkit documentation: ""
- VectorStoreInfo JsonToolkit:
- VectorStoreRouterToolkit documentation: ""
- VectorStoreToolkit VectorStoreInfo:
documentation: ""
VectorStoreRouterToolkit:
documentation: ""
VectorStoreToolkit:
documentation: ""
tools: tools:
- Search Search:
- PAL-MATH documentation: ""
- Calculator PAL-MATH:
- Serper Search documentation: ""
- Tool Calculator:
- PythonFunctionTool documentation: ""
- PythonFunction Serper Search:
- JsonSpec documentation: ""
- News API Tool:
- TMDB API documentation: ""
- Podcast API PythonFunctionTool:
- QuerySQLDataBaseTool documentation: ""
- InfoSQLDatabaseTool PythonFunction:
- ListSQLDatabaseTool documentation: ""
# - QueryCheckerTool JsonSpec:
- BingSearchRun documentation: ""
- GoogleSearchRun News API:
- GoogleSearchResults documentation: ""
- GoogleSerperRun TMDB API:
- JsonListKeysTool documentation: ""
- JsonGetValueTool Podcast API:
- PythonREPLTool documentation: ""
- PythonAstREPLTool QuerySQLDataBaseTool:
- RequestsGetTool documentation: ""
- RequestsPostTool InfoSQLDatabaseTool:
- RequestsPatchTool documentation: ""
- RequestsPutTool ListSQLDatabaseTool:
- RequestsDeleteTool documentation: ""
- WikipediaQueryRun BingSearchRun:
- WolframAlphaQueryRun documentation: ""
GoogleSearchRun:
documentation: ""
GoogleSearchResults:
documentation: ""
GoogleSerperRun:
documentation: ""
JsonListKeysTool:
documentation: ""
JsonGetValueTool:
documentation: ""
PythonREPLTool:
documentation: ""
PythonAstREPLTool:
documentation: ""
RequestsGetTool:
documentation: ""
RequestsPostTool:
documentation: ""
RequestsPatchTool:
documentation: ""
RequestsPutTool:
documentation: ""
RequestsDeleteTool:
documentation: ""
WikipediaQueryRun:
documentation: ""
WolframAlphaQueryRun:
documentation: ""
utilities: utilities:
- BingSearchAPIWrapper BingSearchAPIWrapper:
- GoogleSearchAPIWrapper documentation: ""
- GoogleSerperAPIWrapper GoogleSearchAPIWrapper:
- SearxResults documentation: ""
- SearxSearchWrapper GoogleSerperAPIWrapper:
- SerpAPIWrapper documentation: ""
- WikipediaAPIWrapper SearxResults:
- WolframAlphaAPIWrapper documentation: ""
# - ZapierNLAWrapper SearxSearchWrapper:
- SQLDatabase documentation: ""
SerpAPIWrapper:
documentation: ""
WikipediaAPIWrapper:
documentation: ""
WolframAlphaAPIWrapper:
documentation: ""
vectorstores: vectorstores:
- Chroma Chroma:
- Qdrant documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma"
- Weaviate Qdrant:
- FAISS documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
- Pinecone Weaviate:
- SupabaseVectorStore documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate"
- MongoDBAtlasVectorSearch FAISS:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
Pinecone:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone"
SupabaseVectorStore:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
MongoDBAtlasVectorSearch:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas_vector_search"
wrappers: wrappers:
- RequestsWrapper RequestsWrapper:
# - ChatPromptTemplate documentation: ""
# - SystemMessagePromptTemplate
# - HumanMessagePromptTemplate

4
src/backend/langflow/interface/agents/custom.py
View file

@ -6,6 +6,7 @@ from langchain.agents import (
Tool, Tool,
ZeroShotAgent, ZeroShotAgent,
initialize_agent, initialize_agent,
AgentType,
) )
from langchain.agents.agent_toolkits import ( from langchain.agents.agent_toolkits import (
SQLDatabaseToolkit, SQLDatabaseToolkit,
@ -297,6 +298,9 @@ class InitializeAgent(CustomAgentExecutor):
agent: str, agent: str,
memory: Optional[BaseChatMemory] = None, memory: Optional[BaseChatMemory] = None,
): ):
# Find which value in the AgentType enum corresponds to the string
# passed in as agent
agent = AgentType(agent)
return initialize_agent( return initialize_agent(
tools=tools, tools=tools,
llm=llm, llm=llm,

20
src/backend/langflow/interface/base.py
View file

@ -8,6 +8,7 @@ from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.base import FrontendNode
from langflow.template.template.base import Template from langflow.template.template.base import Template
from langflow.utils.logger import logger from langflow.utils.logger import logger
from langflow.settings import settings
# Assuming necessary imports for Field, Template, and FrontendNode classes # Assuming necessary imports for Field, Template, and FrontendNode classes
@ -15,12 +16,29 @@ from langflow.utils.logger import logger
class LangChainTypeCreator(BaseModel, ABC): class LangChainTypeCreator(BaseModel, ABC):
type_name: str type_name: str
type_dict: Optional[Dict] = None type_dict: Optional[Dict] = None
name_docs_dict: Optional[Dict[str, str]] = None
@property @property
def frontend_node_class(self) -> Type[FrontendNode]: def frontend_node_class(self) -> Type[FrontendNode]:
"""The class type of the FrontendNode created in frontend_node.""" """The class type of the FrontendNode created in frontend_node."""
return FrontendNode return FrontendNode
@property
def docs_map(self) -> Dict[str, str]:
"""A dict with the name of the component as key and the documentation link as value."""
if self.name_docs_dict is None:
try:
type_settings = getattr(settings, self.type_name)
self.name_docs_dict = {
name: value_dict["documentation"]
for name, value_dict in type_settings.items()
}
except AttributeError as exc:
logger.error(exc)
self.name_docs_dict = {}
return self.name_docs_dict
@property @property
@abstractmethod @abstractmethod
def type_to_loader_dict(self) -> Dict: def type_to_loader_dict(self) -> Dict:
@ -83,7 +101,7 @@ class LangChainTypeCreator(BaseModel, ABC):
signature.add_extra_fields() signature.add_extra_fields()
signature.add_extra_base_classes() signature.add_extra_base_classes()
signature.set_documentation(self.docs_map.get(name, ""))
return signature return signature

55
src/backend/langflow/interface/initialize/loading.py
View file

@ -1,11 +1,12 @@
import json import json
from typing import Any, Callable, Dict, Sequence from typing import Any, Callable, Dict, Sequence, Type
from langchain.agents import ZeroShotAgent from langchain.agents import ZeroShotAgent
from langchain.agents import agent as agent_module from langchain.agents import agent as agent_module
from langchain.agents.agent import AgentExecutor from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.base import BaseToolkit from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.agents.tools import BaseTool from langchain.agents.tools import BaseTool
from langflow.interface.initialize.vector_store import vecstore_initializer from langflow.interface.initialize.vector_store import vecstore_initializer
from pydantic import ValidationError from pydantic import ValidationError
@ -16,6 +17,11 @@ from langflow.interface.toolkits.base import toolkits_creator
from langflow.interface.chains.base import chain_creator from langflow.interface.chains.base import chain_creator
from langflow.interface.utils import load_file_into_dict from langflow.interface.utils import load_file_into_dict
from langflow.utils import validate from langflow.utils import validate
from langchain.chains.base import Chain
from langchain.vectorstores.base import VectorStore
from langchain.document_loaders.base import BaseLoader
from langchain.prompts.base import BasePromptTemplate
from langflow.chat.config import ChatConfig
def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
@ -72,11 +78,22 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
return instantiate_utility(node_type, class_object, params) return instantiate_utility(node_type, class_object, params)
elif base_type == "chains": elif base_type == "chains":
return instantiate_chains(node_type, class_object, params) return instantiate_chains(node_type, class_object, params)
elif base_type == "llms":
return instantiate_llm(node_type, class_object, params)
else: else:
return class_object(**params) return class_object(**params)
def instantiate_chains(node_type, class_object, params): def instantiate_llm(node_type, class_object, params: Dict):
# This is a workaround so JinaChat works until streaming is implemented
# if "openai_api_base" in params and "jina" in params["openai_api_base"]:
# False if condition is True
ChatConfig.streaming = "jina" not in params.get("openai_api_base", "")
return class_object(**params)
def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
if "retriever" in params and hasattr(params["retriever"], "as_retriever"): if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
params["retriever"] = params["retriever"].as_retriever() params["retriever"] = params["retriever"].as_retriever()
if node_type in chain_creator.from_method_nodes: if node_type in chain_creator.from_method_nodes:
@ -88,11 +105,11 @@ def instantiate_chains(node_type, class_object, params):
return class_object(**params) return class_object(**params)
def instantiate_agent(class_object, params): def instantiate_agent(class_object: Type[agent_module.Agent], params: Dict):
return load_agent_executor(class_object, params) return load_agent_executor(class_object, params)
def instantiate_prompt(node_type, class_object, params): def instantiate_prompt(node_type, class_object: Type[BasePromptTemplate], params: Dict):
if node_type == "ZeroShotPrompt": if node_type == "ZeroShotPrompt":
if "tools" not in params: if "tools" not in params:
params["tools"] = [] params["tools"] = []
@ -100,7 +117,7 @@ def instantiate_prompt(node_type, class_object, params):
return class_object(**params) return class_object(**params)
def instantiate_tool(node_type, class_object, params): def instantiate_tool(node_type, class_object: Type[BaseTool], params: Dict):
if node_type == "JsonSpec": if node_type == "JsonSpec":
params["dict_"] = load_file_into_dict(params.pop("path")) params["dict_"] = load_file_into_dict(params.pop("path"))
return class_object(**params) return class_object(**params)
@ -118,7 +135,7 @@ def instantiate_tool(node_type, class_object, params):
return class_object(**params) return class_object(**params)
def instantiate_toolkit(node_type, class_object, params): def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict):
loaded_toolkit = class_object(**params) loaded_toolkit = class_object(**params)
# Commenting this out for now to use toolkits as normal tools # Commenting this out for now to use toolkits as normal tools
# if toolkits_creator.has_create_function(node_type): # if toolkits_creator.has_create_function(node_type):
@ -128,7 +145,7 @@ def instantiate_toolkit(node_type, class_object, params):
return loaded_toolkit return loaded_toolkit
def instantiate_embedding(class_object, params): def instantiate_embedding(class_object, params: Dict):
params.pop("model", None) params.pop("model", None)
params.pop("headers", None) params.pop("headers", None)
try: try:
@ -142,7 +159,7 @@ def instantiate_embedding(class_object, params):
return class_object(**params) return class_object(**params)
def instantiate_vectorstore(class_object, params): def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict):
search_kwargs = params.pop("search_kwargs", {}) search_kwargs = params.pop("search_kwargs", {})
if initializer := vecstore_initializer.get(class_object.__name__): if initializer := vecstore_initializer.get(class_object.__name__):
vecstore = initializer(class_object, params) vecstore = initializer(class_object, params)
@ -158,7 +175,7 @@ def instantiate_vectorstore(class_object, params):
return vecstore return vecstore
def instantiate_documentloader(class_object, params): def instantiate_documentloader(class_object: Type[BaseLoader], params: Dict):
if "file_filter" in params: if "file_filter" in params:
# file_filter will be a string but we need a function # file_filter will be a string but we need a function
# that will be used to filter the files using file_filter # that will be used to filter the files using file_filter
@ -187,19 +204,29 @@ def instantiate_documentloader(class_object, params):
return docs return docs
def instantiate_textsplitter(class_object, params): def instantiate_textsplitter(
class_object,
params: Dict,
):
try: try:
documents = params.pop("documents") documents = params.pop("documents")
except KeyError as e: except KeyError as exc:
raise ValueError( raise ValueError(
"The source you provided did not load correctly or was empty." "The source you provided did not load correctly or was empty."
"Try changing the chunk_size of the Text Splitter." "Try changing the chunk_size of the Text Splitter."
) from e ) from exc
text_splitter = class_object(**params)
if "separator_type" in params and params["separator_type"] == "Text":
text_splitter = class_object(**params)
else:
params["language"] = params.pop("separator_type", None)
params.pop("separators", None)
text_splitter = class_object.from_language(**params)
return text_splitter.split_documents(documents) return text_splitter.split_documents(documents)
def instantiate_utility(node_type, class_object, params): def instantiate_utility(node_type, class_object, params: Dict):
if node_type == "SQLDatabase": if node_type == "SQLDatabase":
return class_object.from_uri(params.pop("uri")) return class_object.from_uri(params.pop("uri"))
return class_object(**params) return class_object(**params)

26
src/backend/langflow/interface/utils.py
View file

@ -4,9 +4,12 @@ import os
from io import BytesIO from io import BytesIO
import re import re
import yaml import yaml
from langchain.base_language import BaseLanguageModel from langchain.base_language import BaseLanguageModel
from PIL.Image import Image from PIL.Image import Image
from langflow.utils.logger import logger
from langflow.chat.config import ChatConfig
def load_file_into_dict(file_path: str) -> dict: def load_file_into_dict(file_path: str) -> dict:
@ -48,9 +51,9 @@ def try_setting_streaming_options(langchain_object, websocket):
if isinstance(llm, BaseLanguageModel): if isinstance(llm, BaseLanguageModel):
if hasattr(llm, "streaming") and isinstance(llm.streaming, bool): if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
llm.streaming = True llm.streaming = ChatConfig.streaming
elif hasattr(llm, "stream") and isinstance(llm.stream, bool): elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
llm.stream = True llm.stream = ChatConfig.streaming
return langchain_object return langchain_object
@ -58,3 +61,22 @@ def try_setting_streaming_options(langchain_object, websocket):
def extract_input_variables_from_prompt(prompt: str) -> list[str]: def extract_input_variables_from_prompt(prompt: str) -> list[str]:
"""Extract input variables from prompt.""" """Extract input variables from prompt."""
return re.findall(r"{(.*?)}", prompt) return re.findall(r"{(.*?)}", prompt)
def setup_llm_caching():
"""Setup LLM caching."""
try:
import langchain
from langflow.settings import settings
from langflow.interface.importing.utils import import_class
cache_class = import_class(f"langchain.cache.{settings.cache}")
logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
langchain.llm_cache = cache_class()
logger.info(f"LLM caching setup with {cache_class.__name__}")
except ImportError:
logger.warning(f"Could not import {settings.cache}. ")
except Exception as exc:
logger.warning(f"Could not setup LLM caching. Error: {exc}")

42
src/backend/langflow/main.py
View file

@ -1,8 +1,13 @@
from pathlib import Path
from typing import Optional
from fastapi import FastAPI from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from fastapi.staticfiles import StaticFiles
from langflow.api import router from langflow.api import router
from langflow.database.base import create_db_and_tables from langflow.database.base import create_db_and_tables
from langflow.interface.utils import setup_llm_caching
def create_app(): def create_app():
@ -28,6 +33,43 @@ def create_app():
app.include_router(router) app.include_router(router)
app.on_event("startup")(create_db_and_tables) app.on_event("startup")(create_db_and_tables)
app.on_event("startup")(setup_llm_caching)
return app
def setup_static_files(app: FastAPI, static_files_dir: Path):
"""
Setup the static files directory.
Args:
app (FastAPI): FastAPI app.
path (str): Path to the static files directory.
"""
app.mount(
"/",
StaticFiles(directory=static_files_dir, html=True),
name="static",
)
@app.exception_handler(404)
async def custom_404_handler(request, __):
path = static_files_dir / "index.html"
if not path.exists():
raise RuntimeError(f"File at path {path} does not exist.")
return FileResponse(path)
# app = create_app()
# setup_static_files(app, static_files_dir)
def setup_app(static_files_dir: Optional[Path]) -> FastAPI:
"""Setup the FastAPI app."""
# get the directory of the current file
if not static_files_dir:
frontend_path = Path(__file__).parent
static_files_dir = frontend_path / "frontend"
app = create_app()
setup_static_files(app, static_files_dir)
return app return app

48
src/backend/langflow/settings.py
View file

@ -1,26 +1,26 @@
import os import os
from typing import List
import yaml import yaml
from pydantic import BaseSettings, root_validator from pydantic import BaseSettings, root_validator
class Settings(BaseSettings): class Settings(BaseSettings):
chains: List[str] = [] chains: dict = {}
agents: List[str] = [] agents: dict = {}
prompts: List[str] = [] prompts: dict = {}
llms: List[str] = [] llms: dict = {}
tools: List[str] = [] tools: dict = {}
memories: List[str] = [] memories: dict = {}
embeddings: List[str] = [] embeddings: dict = {}
vectorstores: List[str] = [] vectorstores: dict = {}
documentloaders: List[str] = [] documentloaders: dict = {}
wrappers: List[str] = [] wrappers: dict = {}
toolkits: List[str] = [] toolkits: dict = {}
textsplitters: List[str] = [] textsplitters: dict = {}
utilities: List[str] = [] utilities: dict = {}
dev: bool = False dev: bool = False
database_url: str = "sqlite:///./langflow.db" database_url: str = "sqlite:///./langflow.db"
cache: str = "InMemoryCache"
remove_api_keys: bool = False remove_api_keys: bool = False
class Config: class Config:
@ -37,16 +37,16 @@ class Settings(BaseSettings):
def update_from_yaml(self, file_path: str, dev: bool = False): def update_from_yaml(self, file_path: str, dev: bool = False):
new_settings = load_settings_from_yaml(file_path) new_settings = load_settings_from_yaml(file_path)
self.chains = new_settings.chains or [] self.chains = new_settings.chains or {}
self.agents = new_settings.agents or [] self.agents = new_settings.agents or {}
self.prompts = new_settings.prompts or [] self.prompts = new_settings.prompts or {}
self.llms = new_settings.llms or [] self.llms = new_settings.llms or {}
self.tools = new_settings.tools or [] self.tools = new_settings.tools or {}
self.memories = new_settings.memories or [] self.memories = new_settings.memories or {}
self.wrappers = new_settings.wrappers or [] self.wrappers = new_settings.wrappers or {}
self.toolkits = new_settings.toolkits or [] self.toolkits = new_settings.toolkits or {}
self.textsplitters = new_settings.textsplitters or [] self.textsplitters = new_settings.textsplitters or {}
self.utilities = new_settings.utilities or [] self.utilities = new_settings.utilities or {}
self.dev = dev self.dev = dev
def update_settings(self, **kwargs): def update_settings(self, **kwargs):

1
src/backend/langflow/template/field/base.py
View file

@ -21,6 +21,7 @@ class TemplateFieldCreator(BaseModel, ABC):
name: str = "" name: str = ""
display_name: Optional[str] = None display_name: Optional[str] = None
advanced: bool = False advanced: bool = False
info: Optional[str] = ""
def to_dict(self): def to_dict(self):
result = self.dict() result = self.dict()

7
src/backend/langflow/template/frontend_node/base.py
View file

@ -15,14 +15,21 @@ class FrontendNode(BaseModel):
base_classes: List[str] base_classes: List[str]
name: str = "" name: str = ""
display_name: str = "" display_name: str = ""
documentation: str = ""
def set_documentation(self, documentation: str) -> None:
"""Sets the documentation of the frontend node."""
self.documentation = documentation
def to_dict(self) -> dict: def to_dict(self) -> dict:
"""Returns a dict representation of the frontend node."""
return { return {
self.name: { self.name: {
"template": self.template.to_dict(self.format_field), "template": self.template.to_dict(self.format_field),
"description": self.description, "description": self.description,
"base_classes": self.base_classes, "base_classes": self.base_classes,
"display_name": self.display_name or self.name, "display_name": self.display_name or self.name,
"documentation": self.documentation,
}, },
} }

10
src/backend/langflow/template/frontend_node/constants.py
View file

@ -32,3 +32,13 @@ You are a good listener and you can talk about anything.
HUMAN_PROMPT = "{input}" HUMAN_PROMPT = "{input}"
QA_CHAIN_TYPES = ["stuff", "map_reduce", "map_rerank", "refine"] QA_CHAIN_TYPES = ["stuff", "map_reduce", "map_rerank", "refine"]
# This variable is used to tell the user
# that it can be changed to use other APIs
# like Prem and LocalAI
OPENAI_API_BASE_INFO = """
The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.
You can change this to use other APIs like JinaChat, LocalAI and Prem.
"""

4
src/backend/langflow/template/frontend_node/llms.py
View file

@ -2,6 +2,7 @@ from typing import Optional
from langflow.template.field.base import TemplateField from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.base import FrontendNode
from langflow.template.frontend_node.constants import OPENAI_API_BASE_INFO
class LLMFrontendNode(FrontendNode): class LLMFrontendNode(FrontendNode):
@ -15,6 +16,9 @@ class LLMFrontendNode(FrontendNode):
if "key" not in field.name.lower() and "token" not in field.name.lower(): if "key" not in field.name.lower() and "token" not in field.name.lower():
field.password = False field.password = False
if field.name == "openai_api_base":
field.info = OPENAI_API_BASE_INFO
@staticmethod @staticmethod
def format_azure_field(field: TemplateField): def format_azure_field(field: TemplateField):
if field.name == "model_name": if field.name == "model_name":

17
src/backend/langflow/template/frontend_node/textsplitters.py
View file

@ -1,5 +1,6 @@
from langflow.template.field.base import TemplateField from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.base import FrontendNode
from langchain.text_splitter import Language
class TextSplittersFrontendNode(FrontendNode): class TextSplittersFrontendNode(FrontendNode):
@ -17,6 +18,22 @@ class TextSplittersFrontendNode(FrontendNode):
name = "separator" name = "separator"
elif self.template.type_name == "RecursiveCharacterTextSplitter": elif self.template.type_name == "RecursiveCharacterTextSplitter":
name = "separators" name = "separators"
# Add a field for type of separator
# which will have Text or any value from the
# Language enum
self.template.add_field(
TemplateField(
field_type="str",
required=True,
show=True,
name="separator_type",
advanced=False,
is_list=True,
options=[x.value for x in Language],
value="Text",
display_name="Separator Type",
)
)
self.template.add_field( self.template.add_field(
TemplateField( TemplateField(
field_type="str", field_type="str",

2
src/backend/langflow/template/frontend_node/vectorstores.py
View file

@ -200,7 +200,7 @@ class VectorStoreFrontendNode(FrontendNode):
self.template.add_field(field) self.template.add_field(field)
def add_extra_base_classes(self) -> None: def add_extra_base_classes(self) -> None:
self.base_classes.append("BaseRetriever") self.base_classes.extend(("BaseRetriever", "VectorStoreRetriever"))
@staticmethod @staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None: def format_field(field: TemplateField, name: Optional[str] = None) -> None:

34
src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
View file

@ -25,6 +25,7 @@ import { nodeColors } from "../../../../utils";
import ShadTooltip from "../../../../components/ShadTooltipComponent"; import ShadTooltip from "../../../../components/ShadTooltipComponent";
import { PopUpContext } from "../../../../contexts/popUpContext"; import { PopUpContext } from "../../../../contexts/popUpContext";
import ToggleShadComponent from "../../../../components/toggleShadComponent"; import ToggleShadComponent from "../../../../components/toggleShadComponent";
import { Info } from "lucide-react";
export default function ParameterComponent({ export default function ParameterComponent({
left, left,
@ -36,9 +37,11 @@ export default function ParameterComponent({
type, type,
name = "", name = "",
required = false, required = false,
info = "",
}: ParameterComponentType) { }: ParameterComponentType) {
const ref = useRef(null); const ref = useRef(null);
const refHtml = useRef(null); const refHtml = useRef(null);
const infoHtml = useRef(null);
const updateNodeInternals = useUpdateNodeInternals(); const updateNodeInternals = useUpdateNodeInternals();
const [position, setPosition] = useState(0); const [position, setPosition] = useState(0);
const { closePopUp } = useContext(PopUpContext); const { closePopUp } = useContext(PopUpContext);
@ -79,6 +82,18 @@ export default function ParameterComponent({
}); });
}; };
useEffect(() => {
infoHtml.current = (
<div className="h-full w-full break-words">
{info.split("\n").map((line, i) => (
<p key={i} className="block">
{line}
</p>
))}
</div>
);
}, [info]);
useEffect(() => { useEffect(() => {
const groupedObj = groupByFamily(myData, tooltipTitle); const groupedObj = groupByFamily(myData, tooltipTitle);
@ -126,8 +141,25 @@ export default function ParameterComponent({
className="w-full flex flex-wrap justify-between items-center bg-muted dark:bg-gray-800 dark:text-white mt-1 px-5 py-2" className="w-full flex flex-wrap justify-between items-center bg-muted dark:bg-gray-800 dark:text-white mt-1 px-5 py-2"
> >
<> <>
<div className={"text-sm truncate w-full " + (left ? "" : "text-end")}> <div
className={
"text-sm truncate w-full" +
(left ? "" : " text-end") +
(info !== "" ? " flex items-center" : "")
}
>
{title} {title}
<div className="">
{info !== "" && (
<ShadTooltip
open={true}
delayDuration={500}
content={infoHtml.current}
>
<Info className="ml-2 relative bottom-0.5 w-3 h-3" />
</ShadTooltip>
)}
</div>
<span className="text-red-600">{required ? " *" : ""}</span> <span className="text-red-600">{required ? " *" : ""}</span>
</div> </div>
{left && {left &&

57
src/frontend/src/CustomNodes/GenericNode/index.tsx
View file

@ -6,16 +6,7 @@ import {
} from "../../utils"; } from "../../utils";
import ParameterComponent from "./components/parameterComponent"; import ParameterComponent from "./components/parameterComponent";
import { typesContext } from "../../contexts/typesContext"; import { typesContext } from "../../contexts/typesContext";
import { import { useContext, useState, useEffect, useRef } from "react";
useContext,
useState,
useEffect,
useRef,
ForwardRefExoticComponent,
ComponentType,
SVGProps,
ReactNode,
} from "react";
import { NodeDataType } from "../../types/flow"; import { NodeDataType } from "../../types/flow";
import { alertContext } from "../../contexts/alertContext"; import { alertContext } from "../../contexts/alertContext";
import { PopUpContext } from "../../contexts/popUpContext"; import { PopUpContext } from "../../contexts/popUpContext";
@ -23,10 +14,9 @@ import NodeModal from "../../modals/NodeModal";
import Tooltip from "../../components/TooltipComponent"; import Tooltip from "../../components/TooltipComponent";
import { NodeToolbar } from "reactflow"; import { NodeToolbar } from "reactflow";
import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent"; import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent";
import { FileText, Info } from "lucide-react";
import ShadTooltip from "../../components/ShadTooltipComponent"; import ShadTooltip from "../../components/ShadTooltipComponent";
import { useSSE } from "../../contexts/SSEContext"; import { useSSE } from "../../contexts/SSEContext";
import { ReactElement } from "react-markdown/lib/react-markdown";
export default function GenericNode({ export default function GenericNode({
data, data,
@ -46,6 +36,7 @@ export default function GenericNode({
const [validationStatus, setValidationStatus] = useState(null); const [validationStatus, setValidationStatus] = useState(null);
// State for outline color // State for outline color
const { sseData, isBuilding } = useSSE(); const { sseData, isBuilding } = useSSE();
const refHtml = useRef(null);
// useEffect(() => { // useEffect(() => {
// if (reactFlowInstance) { // if (reactFlowInstance) {
@ -79,6 +70,22 @@ export default function GenericNode({
useEffect(() => {}, [closePopUp, data.node.template]); useEffect(() => {}, [closePopUp, data.node.template]);
useEffect(() => {
refHtml.current = (
<div className="flex">
<span>{`${data.node.display_name} Documentation`}</span>
<span
className="self-center"
style={{
color: nodeColors[types[data.type]] ?? nodeColors.unknown,
}}
>
<FileText className="h-4 w-4 ml-2" />
</span>
</div>
);
}, []);
return ( return (
<> <>
<NodeToolbar> <NodeToolbar>
@ -103,7 +110,7 @@ export default function GenericNode({
color: nodeColors[types[data.type]] ?? nodeColors.unknown, color: nodeColors[types[data.type]] ?? nodeColors.unknown,
}} }}
/> />
<div className="ml-2 truncate"> <div className="ml-2 truncate flex">
<ShadTooltip <ShadTooltip
delayDuration={1500} delayDuration={1500}
content={data.node.display_name} content={data.node.display_name}
@ -112,6 +119,29 @@ export default function GenericNode({
{data.node.display_name} {data.node.display_name}
</div> </div>
</ShadTooltip> </ShadTooltip>
<div className="">
{data.node.documentation !== "" && (
<ShadTooltip
open={true}
delayDuration={1000}
content={refHtml.current}
>
<a
href={data.node.documentation}
target="_blank"
rel="noopener noreferrer"
>
<Info
style={{
color:
nodeColors[types[data.type]] ?? nodeColors.unknown,
}}
className="ml-2 self-center w-4 h-4"
/>
</a>
</ShadTooltip>
)}
</div>
</div> </div>
</div> </div>
<div className="flex gap-3"> <div className="flex gap-3">
@ -214,6 +244,7 @@ export default function GenericNode({
? toTitleCase(data.node.template[t].name) ? toTitleCase(data.node.template[t].name)
: toTitleCase(t) : toTitleCase(t)
} }
info={data.node.template[t].info}
name={t} name={t}
tooltipTitle={data.node.template[t].type} tooltipTitle={data.node.template[t].type}
required={data.node.template[t].required} required={data.node.template[t].required}

10
src/frontend/src/contexts/tabsContext.tsx
View file

@ -198,10 +198,13 @@ export function TabsProvider({ children }: { children: ReactNode }) {
edge.style = { stroke: "#555555" }; edge.style = { stroke: "#555555" };
}); });
} }
function updateDisplay_name(node: NodeType, template: APIClassType) { function updateDisplay_name(node: NodeType, template: APIClassType) {
node.data.node.display_name = template["display_name"] node.data.node.display_name = template["display_name"] || node.data.type;
? template["display_name"] }
: node.data.type;
function updateNodeDocumentation(node: NodeType, template: APIClassType) {
node.data.node.documentation = template["documentation"];
} }
function processFlowNodes(flow) { function processFlowNodes(flow) {
@ -218,6 +221,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
updateNodeEdges(flow, node, template); updateNodeEdges(flow, node, template);
updateNodeDescription(node, template); updateNodeDescription(node, template);
updateNodeTemplate(node, template); updateNodeTemplate(node, template);
updateNodeDocumentation(node, template);
} }
}); });
} }

6
src/frontend/src/icons/Midjorney/index.tsx
View file

@ -1,9 +1,9 @@
import React, { forwardRef } from "react"; import React, { forwardRef } from "react";
import { ReactComponent as MidjorneySVG } from "./Midjourney_Emblem.svg"; import { ReactComponent as MidjourneySVG } from "./Midjourney_Emblem.svg";
export const MidjorneyIcon = forwardRef< export const MidjourneyIcon = forwardRef<
SVGSVGElement, SVGSVGElement,
React.PropsWithChildren<{}> React.PropsWithChildren<{}>
>((props, ref) => { >((props, ref) => {
return <MidjorneySVG ref={ref} {...props} />; return <MidjourneySVG ref={ref} {...props} />;
}); });

1
src/frontend/src/types/api/index.ts
View file

@ -12,6 +12,7 @@ export type APIClassType = {
description: string; description: string;
template: APITemplateType; template: APITemplateType;
display_name: string; display_name: string;
documentation: string;
[key: string]: Array<string> | string | APITemplateType; [key: string]: Array<string> | string | APITemplateType;
}; };
export type TemplateVariableType = { export type TemplateVariableType = {

9
src/frontend/src/types/components/index.ts
View file

@ -1,10 +1,4 @@
import { import { ReactElement, ReactNode } from "react";
ComponentType,
ForwardRefExoticComponent,
ReactElement,
ReactNode,
SVGProps,
} from "react";
import { NodeDataType } from "../flow/index"; import { NodeDataType } from "../flow/index";
import { typesContextType } from "../typesContext"; import { typesContextType } from "../typesContext";
export type InputComponentType = { export type InputComponentType = {
@ -41,6 +35,7 @@ export type ParameterComponentType = {
name?: string; name?: string;
tooltipTitle: string; tooltipTitle: string;
dataContext?: typesContextType; dataContext?: typesContextType;
info?: string;
}; };
export type InputListComponentType = { export type InputListComponentType = {
value: string[]; value: string[];

17
src/frontend/src/utils.ts
View file

@ -33,7 +33,7 @@ import { HackerNewsIcon } from "./icons/hackerNews";
import { HugginFaceIcon } from "./icons/HuggingFace"; import { HugginFaceIcon } from "./icons/HuggingFace";
import { IFixIcon } from "./icons/IFixIt"; import { IFixIcon } from "./icons/IFixIt";
import { MetaIcon } from "./icons/Meta"; import { MetaIcon } from "./icons/Meta";
import { MidjorneyIcon } from "./icons/Midjorney"; import { MidjourneyIcon } from "./icons/Midjorney";
import { NotionIcon } from "./icons/Notion"; import { NotionIcon } from "./icons/Notion";
import { OpenAiIcon } from "./icons/OpenAi"; import { OpenAiIcon } from "./icons/OpenAi";
import { QDrantIcon } from "./icons/QDrant"; import { QDrantIcon } from "./icons/QDrant";
@ -45,7 +45,6 @@ import { twMerge } from "tailwind-merge";
import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "./constants"; import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "./constants";
import { ComponentType, SVGProps } from "react"; import { ComponentType, SVGProps } from "react";
import { import {
Boxes,
Cpu, Cpu,
Fingerprint, Fingerprint,
Gift, Gift,
@ -53,7 +52,6 @@ import {
HelpCircle, HelpCircle,
Laptop2, Laptop2,
Layers, Layers,
LayoutDashboard,
Lightbulb, Lightbulb,
Link, Link,
MessageCircle, MessageCircle,
@ -189,7 +187,7 @@ export const nodeIcons: {
HuggingFaceEmbeddings: HugginFaceIcon, HuggingFaceEmbeddings: HugginFaceIcon,
IFixitLoader: IFixIcon, IFixitLoader: IFixIcon,
Meta: MetaIcon, Meta: MetaIcon,
Midjorney: MidjorneyIcon, Midjourney: MidjourneyIcon,
NotionDirectoryLoader: NotionIcon, NotionDirectoryLoader: NotionIcon,
ChatOpenAI: OpenAiIcon, ChatOpenAI: OpenAiIcon,
OpenAI: OpenAiIcon, OpenAI: OpenAiIcon,
@ -287,7 +285,10 @@ export const nodeIconsLucide: {
Meta: MetaIcon as React.ForwardRefExoticComponent< Meta: MetaIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>> ComponentType<SVGProps<SVGSVGElement>>
>, >,
Midjorney: MidjorneyIcon as React.ForwardRefExoticComponent< Midjorney: MidjourneyIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
MongoDBAtlasVectorSearch: MongoDBIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>> ComponentType<SVGProps<SVGSVGElement>>
>, >,
NotionDirectoryLoader: NotionIcon as React.ForwardRefExoticComponent< NotionDirectoryLoader: NotionIcon as React.ForwardRefExoticComponent<
@ -302,6 +303,9 @@ export const nodeIconsLucide: {
OpenAIEmbeddings: OpenAiIcon as React.ForwardRefExoticComponent< OpenAIEmbeddings: OpenAiIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>> ComponentType<SVGProps<SVGSVGElement>>
>, >,
Pinecone: PineconeIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Qdrant: QDrantIcon as React.ForwardRefExoticComponent< Qdrant: QDrantIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>> ComponentType<SVGProps<SVGSVGElement>>
>, >,
@ -311,6 +315,9 @@ export const nodeIconsLucide: {
SlackDirectoryLoader: SlackIcon as React.ForwardRefExoticComponent< SlackDirectoryLoader: SlackIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>> ComponentType<SVGProps<SVGSVGElement>>
>, >,
SupabaseVectorStore: SupabaseIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
agents: Rocket as React.ForwardRefExoticComponent< agents: Rocket as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>> ComponentType<SVGProps<SVGSVGElement>>
>, >,

79
tests/test_prompts_template.py
View file

@ -88,85 +88,6 @@ def test_prompt_template(client: TestClient):
} }
def test_few_shot_prompt_template(client: TestClient):
response = client.get("api/v1/all")
assert response.status_code == 200
json_response = response.json()
prompts = json_response["prompts"]
prompt = prompts["FewShotPromptTemplate"]
template = prompt["template"]
# Test other fields in the template similar to PromptTemplate
assert template["examples"] == {
"required": False,
"placeholder": "",
"show": True,
"multiline": True,
"password": False,
"name": "examples",
"type": "prompt",
"list": True,
"advanced": False,
}
assert template["example_selector"] == {
"required": False,
"placeholder": "",
"show": False,
"multiline": False,
"password": False,
"name": "example_selector",
"type": "BaseExampleSelector",
"list": False,
"advanced": False,
}
assert template["example_prompt"] == {
"required": True,
"placeholder": "",
"show": True,
"multiline": False,
"password": False,
"name": "example_prompt",
"type": "PromptTemplate",
"list": False,
"advanced": False,
}
assert template["suffix"] == {
"required": True,
"placeholder": "",
"show": True,
"multiline": True,
"password": False,
"name": "suffix",
"type": "prompt",
"list": False,
"advanced": False,
}
assert template["example_separator"] == {
"required": False,
"placeholder": "",
"show": False,
"multiline": False,
"value": "\n\n",
"password": False,
"name": "example_separator",
"type": "str",
"list": False,
"advanced": False,
}
assert template["prefix"] == {
"required": False,
"placeholder": "",
"show": True,
"multiline": True,
"value": "",
"password": False,
"name": "prefix",
"type": "prompt",
"list": False,
"advanced": False,
}
def test_zero_shot_prompt(client: TestClient): def test_zero_shot_prompt(client: TestClient):
response = client.get("api/v1/all") response = client.get("api/v1/all")
assert response.status_code == 200 assert response.status_code == 200