diff --git a/docs/docs/examples/buffer-memory.mdx b/docs/docs/examples/buffer-memory.mdx index d34649991..2b5b76586 100644 --- a/docs/docs/examples/buffer-memory.mdx +++ b/docs/docs/examples/buffer-memory.mdx @@ -21,7 +21,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js"; -- [`ConversationBufferMemory`](https://python.langchain.com/docs/modules/memory/how_to/buffer) +- [`ConversationBufferMemory`](https://python.langchain.com/docs/modules/memory/types/buffer) - [`ConversationChain`](https://python.langchain.com/docs/modules/chains/) - [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai) diff --git a/poetry.lock b/poetry.lock index 66488dd94..7e3a68616 100644 --- a/poetry.lock +++ b/poetry.lock @@ -192,13 +192,13 @@ files = [ [[package]] name = "anthropic" -version = "0.13.0" +version = "0.15.0" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = 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1ce5a193d..9fe17ba1f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.6.5a13" +version = "0.6.6" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ @@ -26,24 +26,24 @@ langflow = "langflow.__main__:main" [tool.poetry.dependencies] python = ">=3.9,<3.11" -fastapi = "^0.108.0" -uvicorn = "^0.25.0" +fastapi = "^0.109.0" +uvicorn = "^0.27.0" beautifulsoup4 = "^4.12.2" google-search-results = "^2.4.1" google-api-python-client = "^2.79.0" typer = "^0.9.0" gunicorn = "^21.2.0" langchain = "~0.1.0" -openai = "^1.10.0" duckdb = "^0.9.2" +openai = "^1.11.0" pandas = "2.0.3" chromadb = "^0.4.0" -huggingface-hub = { version = "^0.19.0", extras = ["inference"] } +huggingface-hub = { version = "^0.20.0", extras = ["inference"] } rich = "^13.7.0" llama-cpp-python = { version = "~0.2.0", optional = true } networkx = "^3.1" -unstructured = "^0.11.0" -pypdf = "^3.17.0" +unstructured = 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} loguru = "^0.7.1" -langfuse = "^1.1.11" +langfuse = "^2.9.0" pillow = "^10.0.0" metal-sdk = "^2.4.0" markupsafe = "^2.1.3" @@ -101,12 +101,12 @@ numexpr = "^2.8.6" qianfan = "0.2.0" pgvector = "^0.2.3" pyautogen = "^0.2.0" -langchain-google-genai = "^0.0.2" +langchain-google-genai = "^0.0.6" elasticsearch = "^8.11.1" pytube = "^15.0.0" -llama-index = "^0.9.24" -langchain-openai = "^0.0.2" python-socketio = "^5.11.0" +llama-index = "^0.9.44" +langchain-openai = "^0.0.5" [tool.poetry.group.dev.dependencies] pytest-asyncio = "^0.23.1" diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py index adbf685e8..80eafb1b9 100644 --- a/src/backend/langflow/api/v1/chat.py +++ b/src/backend/langflow/api/v1/chat.py @@ -1,6 +1,6 @@ import time -from fastapi import APIRouter, Body, Depends, HTTPException, Query, WebSocket, WebSocketException, status +from fastapi import APIRouter, Body, Depends, HTTPException, WebSocket, WebSocketException, status from fastapi.responses import StreamingResponse from langflow.api.utils import build_input_keys_response, format_elapsed_time from langflow.api.v1.schemas import ( @@ -15,7 +15,7 @@ from langflow.api.v1.schemas import ( from langflow.graph.graph.base import Graph from langflow.graph.vertex.base import StatelessVertex from langflow.processing.process import process_tweaks_on_graph -from langflow.services.auth.utils import get_current_active_user, get_current_user_by_jwt +from langflow.services.auth.utils import get_current_active_user, get_current_user_for_websocket from langflow.services.cache.service import BaseCacheService from langflow.services.cache.utils import update_build_status from langflow.services.chat.service import ChatService @@ -32,17 +32,16 @@ router = APIRouter(tags=["Chat"]) async def chat( client_id: str, websocket: WebSocket, - token: str = Query(...), db: Session = Depends(get_session), chat_service: "ChatService" = Depends(get_chat_service), ): """Websocket endpoint for chat.""" try: - user = await get_current_user_by_jwt(token, db) + user = await get_current_user_for_websocket(websocket, db) await websocket.accept() if not user: await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized") - if not user.is_active: + elif not user.is_active: await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized") if client_id in chat_service.cache_service: diff --git a/src/backend/langflow/components/agents/AgentInitializer.py b/src/backend/langflow/components/agents/AgentInitializer.py index c847de43f..3d936df8a 100644 --- a/src/backend/langflow/components/agents/AgentInitializer.py +++ b/src/backend/langflow/components/agents/AgentInitializer.py @@ -41,12 +41,11 @@ class AgentInitializerComponent(CustomComponent): handle_parsing_errors=True, max_iterations=max_iterations, ) - else: - return initialize_agent( - tools=tools, - llm=llm, - agent=agent, - return_intermediate_steps=True, - handle_parsing_errors=True, - max_iterations=max_iterations, - ) + return initialize_agent( + tools=tools, + llm=llm, + agent=agent, + return_intermediate_steps=True, + handle_parsing_errors=True, + max_iterations=max_iterations, + ) diff --git a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py b/src/backend/langflow/components/agents/OpenAIConversationalAgent.py index 1a06e25fb..5dfb53387 100644 --- a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py +++ b/src/backend/langflow/components/agents/OpenAIConversationalAgent.py @@ -3,13 +3,12 @@ from typing import List, Optional from langchain.agents.agent import AgentExecutor from langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent -from langchain_community.chat_models import ChatOpenAI from langchain.memory.token_buffer import ConversationTokenBufferMemory from langchain.prompts import SystemMessagePromptTemplate from langchain.prompts.chat import MessagesPlaceholder from langchain.schema.memory import BaseMemory from langchain.tools import Tool - +from langchain_community.chat_models import ChatOpenAI from langflow import CustomComponent from langflow.field_typing.range_spec import RangeSpec @@ -20,11 +19,12 @@ class ConversationalAgent(CustomComponent): def build_config(self): openai_function_models = [ + "gpt-4-turbo-preview", + "gpt-4-0125-preview", "gpt-4-1106-preview", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", - "gpt-4", - "gpt-4-32k", + "gpt-4-vision-preview", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-1106", ] return { "tools": {"display_name": "Tools"}, diff --git a/src/backend/langflow/components/chains/PromptRunner.py b/src/backend/langflow/components/chains/PromptRunner.py index 955658bd3..878247c39 100644 --- a/src/backend/langflow/components/chains/PromptRunner.py +++ b/src/backend/langflow/components/chains/PromptRunner.py @@ -1,7 +1,6 @@ from langchain.llms.base import BaseLLM from langchain.prompts import PromptTemplate from langchain_core.messages import BaseMessage - from langflow import CustomComponent from langflow.field_typing import Text diff --git a/src/backend/langflow/components/documentloaders/FileLoader.py b/src/backend/langflow/components/documentloaders/FileLoader.py index eea401b83..07160557d 100644 --- a/src/backend/langflow/components/documentloaders/FileLoader.py +++ b/src/backend/langflow/components/documentloaders/FileLoader.py @@ -1,5 +1,4 @@ -from langchain.schema import Document - +from langchain_core.documents import Document from langflow import CustomComponent from langflow.utils.constants import LOADERS_INFO diff --git a/src/backend/langflow/components/documentloaders/UrlLoader.py b/src/backend/langflow/components/documentloaders/UrlLoader.py index f9c4363f0..eb60ac572 100644 --- a/src/backend/langflow/components/documentloaders/UrlLoader.py +++ b/src/backend/langflow/components/documentloaders/UrlLoader.py @@ -1,7 +1,8 @@ from typing import List from langchain import document_loaders -from langchain.schema import Document +from langchain_core.documents import Document + from langflow import CustomComponent diff --git a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py b/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py index 555d45570..9ff91dd0e 100644 --- a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py +++ b/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py @@ -42,7 +42,11 @@ class OpenAIEmbeddingsComponent(CustomComponent): "advanced": True, }, "max_retries": {"display_name": "Max Retries", "advanced": True}, - "model": {"display_name": "Model", "advanced": True}, + "model": { + "display_name": "Model", + "advanced": False, + "options": ["text-embedding-3-small", "text-embedding-3-large", "text-embedding-ada-002"], + }, "model_kwargs": {"display_name": "Model Kwargs", "advanced": True}, "openai_api_base": {"display_name": "OpenAI API Base", "password": True, "advanced": True}, "openai_api_key": {"display_name": "OpenAI API Key", "password": True}, @@ -74,10 +78,10 @@ class OpenAIEmbeddingsComponent(CustomComponent): disallowed_special: List[str] = ["all"], chunk_size: int = 1000, client: Optional[Any] = None, - deployment: str = "text-embedding-ada-002", + deployment: str = "text-embedding-3-small", embedding_ctx_length: int = 8191, max_retries: int = 6, - model: str = "text-embedding-ada-002", + model: str = "text-embedding-3-small", model_kwargs: NestedDict = {}, openai_api_base: Optional[str] = None, openai_api_key: Optional[str] = "", diff --git a/src/backend/langflow/components/llms/ChatOpenAI.py b/src/backend/langflow/components/llms/ChatOpenAI.py index 19ca4f41d..9f9d61ef8 100644 --- a/src/backend/langflow/components/llms/ChatOpenAI.py +++ b/src/backend/langflow/components/llms/ChatOpenAI.py @@ -2,6 +2,7 @@ from typing import Optional, Union from langchain.llms import BaseLLM from langchain_community.chat_models.openai import ChatOpenAI + from langflow import CustomComponent from langflow.field_typing import BaseLanguageModel, NestedDict @@ -30,11 +31,12 @@ class ChatOpenAIComponent(CustomComponent): "advanced": False, "required": False, "options": [ + "gpt-4-turbo-preview", + "gpt-4-0125-preview", "gpt-4-1106-preview", - "gpt-4", - "gpt-4-32k", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", + "gpt-4-vision-preview", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-1106", ], }, "openai_api_base": { diff --git a/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py b/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py index 1cea7a29b..d1494f4d0 100644 --- a/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py +++ b/src/backend/langflow/components/textsplitters/LanguageRecursiveTextSplitter.py @@ -1,7 +1,7 @@ from typing import Optional -from langchain.schema import Document from langchain.text_splitter import Language +from langchain_core.documents import Document from langflow import CustomComponent diff --git a/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py b/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py index 751d2518c..d07ae3ebe 100644 --- a/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py +++ b/src/backend/langflow/components/textsplitters/RecursiveCharacterTextSplitter.py @@ -1,7 +1,10 @@ from typing import Optional + +from langchain_core.documents import Document + from langflow import CustomComponent -from langchain.schema import Document from langflow.utils.util import build_loader_repr_from_documents +from langchain.text_splitter import RecursiveCharacterTextSplitter class RecursiveCharacterTextSplitterComponent(CustomComponent): @@ -54,7 +57,6 @@ class RecursiveCharacterTextSplitterComponent(CustomComponent): Returns: list[str]: The chunks of text. """ - from langchain.text_splitter import RecursiveCharacterTextSplitter if separators == "": separators = None diff --git a/src/backend/langflow/components/utilities/GetRequest.py b/src/backend/langflow/components/utilities/GetRequest.py index 627d0804a..b143a8e7e 100644 --- a/src/backend/langflow/components/utilities/GetRequest.py +++ b/src/backend/langflow/components/utilities/GetRequest.py @@ -1,9 +1,10 @@ -from langflow import CustomComponent -from langchain.schema import Document -from langflow.services.database.models.base import orjson_dumps -import requests from typing import Optional +import requests +from langchain_core.documents import Document +from langflow import CustomComponent +from langflow.services.database.models.base import orjson_dumps + class GetRequest(CustomComponent): display_name: str = "GET Request" diff --git a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py b/src/backend/langflow/components/utilities/JSONDocumentBuilder.py index b5f3b1263..33cc73d73 100644 --- a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py +++ b/src/backend/langflow/components/utilities/JSONDocumentBuilder.py @@ -11,7 +11,7 @@ # - **Document:** The Document containing the JSON object. -from langchain.schema import Document +from langchain_core.documents import Document from langflow import CustomComponent from langflow.services.database.models.base import orjson_dumps diff --git a/src/backend/langflow/components/utilities/PostRequest.py b/src/backend/langflow/components/utilities/PostRequest.py index cbecac535..baf734f54 100644 --- a/src/backend/langflow/components/utilities/PostRequest.py +++ b/src/backend/langflow/components/utilities/PostRequest.py @@ -1,9 +1,10 @@ -from langflow import CustomComponent -from langchain.schema import Document -from langflow.services.database.models.base import orjson_dumps -import requests from typing import Optional +import requests +from langchain_core.documents import Document +from langflow import CustomComponent +from langflow.services.database.models.base import orjson_dumps + class PostRequest(CustomComponent): display_name: str = "POST Request" diff --git a/src/backend/langflow/components/utilities/UpdateRequest.py b/src/backend/langflow/components/utilities/UpdateRequest.py index 1e6355b2c..bd40f642d 100644 --- a/src/backend/langflow/components/utilities/UpdateRequest.py +++ b/src/backend/langflow/components/utilities/UpdateRequest.py @@ -1,7 +1,8 @@ from typing import List, Optional + import requests +from langchain_core.documents import Document from langflow import CustomComponent -from langchain.schema import Document from langflow.services.database.models.base import orjson_dumps diff --git a/src/backend/langflow/components/vectorstores/Redis.py b/src/backend/langflow/components/vectorstores/Redis.py index 6a4e9db2a..3cecd2ff5 100644 --- a/src/backend/langflow/components/vectorstores/Redis.py +++ b/src/backend/langflow/components/vectorstores/Redis.py @@ -1,9 +1,11 @@ -from typing import Optional +from typing import Optional, Union from langchain.embeddings.base import Embeddings -from langchain.schema import Document from langchain_community.vectorstores import VectorStore from langchain_community.vectorstores.redis import Redis +from langchain_core.documents import Document +from langchain_core.retrievers import BaseRetriever + from langflow import CustomComponent @@ -42,7 +44,7 @@ class RedisComponent(CustomComponent): redis_server_url: str, redis_index_name: str, documents: Optional[Document] = None, - ) -> VectorStore: + ) -> Union[VectorStore, BaseRetriever]: """ Builds the Vector Store or BaseRetriever object. @@ -55,10 +57,19 @@ class RedisComponent(CustomComponent): Returns: - VectorStore: The Vector Store object. """ - - return Redis.from_documents( - documents=documents, # type: ignore - embedding=embedding, - redis_url=redis_server_url, - index_name=redis_index_name, - ) + if documents is None: + redis_vs = Redis.from_existing_index( + embedding=embedding, + index_name=redis_index_name, + schema=None, + key_prefix=None, + redis_url=redis_server_url, + ) + else: + redis_vs = Redis.from_documents( + documents=documents, # type: ignore + embedding=embedding, + redis_url=redis_server_url, + index_name=redis_index_name, + ) + return redis_vs diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index af828c49e..2f468a3ba 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -3,11 +3,12 @@ import urllib import urllib.request from typing import List, Optional, Union -from langchain.embeddings import FakeEmbeddings -from langchain.schema import BaseRetriever, Document -from langchain_community.vectorstores import Vectara, VectorStore +from langchain_community.embeddings import FakeEmbeddings +from langchain_community.vectorstores.vectara import Vectara +from langchain_core.vectorstores import VectorStore from langflow import CustomComponent +from langflow.field_typing import BaseRetriever, Document class VectaraComponent(CustomComponent): @@ -18,25 +19,18 @@ class VectaraComponent(CustomComponent): field_config = { "vectara_customer_id": { "display_name": "Vectara Customer ID", - "required": True, }, "vectara_corpus_id": { "display_name": "Vectara Corpus ID", - "required": True, }, "vectara_api_key": { "display_name": "Vectara API Key", "password": True, - "required": True, - }, - "code": {"show": False}, - "documents": { - "display_name": "Documents", - "info": "Pass in either for Self Query Retriever or for making a Vectara Object", }, + "documents": {"display_name": "Documents", "info": "If provided, will be upserted to corpus (optional)"}, "files_url": { "display_name": "Files Url", - "info": "Make vectara object using url of files(documents not needed)", + "info": "Make vectara object using url of files (optional)", }, } @@ -48,6 +42,8 @@ class VectaraComponent(CustomComponent): files_url: Optional[List[str]] = None, documents: Optional[Document] = None, ) -> Union[VectorStore, BaseRetriever]: + source = "Langflow" + if documents is not None: return Vectara.from_documents( documents=documents, @@ -55,6 +51,7 @@ class VectaraComponent(CustomComponent): vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, + source=source, ) if files_url is not None: @@ -70,10 +67,12 @@ class VectaraComponent(CustomComponent): vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, + source=source, ) return Vectara( vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, + source=source, ) diff --git a/src/backend/langflow/components/vectorstores/pgvector.py b/src/backend/langflow/components/vectorstores/pgvector.py index 786629dd0..75c269a43 100644 --- a/src/backend/langflow/components/vectorstores/pgvector.py +++ b/src/backend/langflow/components/vectorstores/pgvector.py @@ -1,13 +1,15 @@ -from typing import List, Optional +from typing import Optional, Union from langchain.embeddings.base import Embeddings -from langchain.schema import Document from langchain_community.vectorstores import VectorStore from langchain_community.vectorstores.pgvector import PGVector +from langchain_core.documents import Document +from langchain_core.retrievers import BaseRetriever + from langflow import CustomComponent -class PostgresqlVectorComponent(CustomComponent): +class PGVectorComponent(CustomComponent): """ A custom component for implementing a Vector Store using PostgreSQL. """ @@ -15,7 +17,6 @@ class PostgresqlVectorComponent(CustomComponent): display_name: str = "PGVector" description: str = "Implementation of Vector Store using PostgreSQL" documentation = "https://python.langchain.com/docs/integrations/vectorstores/pgvector" - beta = True def build_config(self): """ @@ -25,8 +26,7 @@ class PostgresqlVectorComponent(CustomComponent): - dict: A dictionary containing the configuration options for the component. """ return { - "index_name": {"display_name": "Index Name", "value": "your_index"}, - "code": {"show": True, "display_name": "Code"}, + "code": {"show": False}, "documents": {"display_name": "Documents", "is_list": True}, "embedding": {"display_name": "Embedding"}, "pg_server_url": { @@ -41,8 +41,8 @@ class PostgresqlVectorComponent(CustomComponent): embedding: Embeddings, pg_server_url: str, collection_name: str, - documents: Optional[List[Document]] = None, - ) -> VectorStore: + documents: Optional[Document] = None, + ) -> Union[VectorStore, BaseRetriever]: """ Builds the Vector Store or BaseRetriever object. @@ -58,13 +58,13 @@ class PostgresqlVectorComponent(CustomComponent): try: if documents is None: - return PGVector.from_existing_index( + vector_store = PGVector.from_existing_index( embedding=embedding, collection_name=collection_name, connection_string=pg_server_url, ) - return PGVector.from_documents( + vector_store = PGVector.from_documents( embedding=embedding, documents=documents, collection_name=collection_name, @@ -72,3 +72,4 @@ class PostgresqlVectorComponent(CustomComponent): ) except Exception as e: raise RuntimeError(f"Failed to build PGVector: {e}") + return vector_store diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index caabffbf9..5ec4f3aaa 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -174,6 +174,8 @@ prompts: textsplitters: CharacterTextSplitter: documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter" + RecursiveCharacterTextSplitter: + documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/recursive_text_splitter" toolkits: OpenAPIToolkit: documentation: "" diff --git a/src/backend/langflow/interface/custom/directory_reader/directory_reader.py b/src/backend/langflow/interface/custom/directory_reader/directory_reader.py index d6cca5c83..7bf55bec8 100644 --- a/src/backend/langflow/interface/custom/directory_reader/directory_reader.py +++ b/src/backend/langflow/interface/custom/directory_reader/directory_reader.py @@ -2,6 +2,7 @@ import ast import os import zlib +from langflow.interface.custom.custom_component import CustomComponent from loguru import logger @@ -245,9 +246,18 @@ class DirectoryReader: else: component_name_camelcase = component_name + if validation_result: + try: + output_types = self.get_output_types_from_code(result_content) + except Exception as exc: + logger.exception(f"Error while getting output types from code: {str(exc)}") + output_types = [component_name_camelcase] + else: + output_types = [component_name_camelcase] + component_info = { "name": "CustomComponent", - "output_types": [component_name_camelcase], + "output_types": output_types, "file": filename, "code": result_content if validation_result else "", "error": "" if validation_result else result_content, @@ -259,3 +269,13 @@ class DirectoryReader: response["menu"].append(menu_result) logger.debug("-------------------- Component menu list built --------------------") return response + + @staticmethod + def get_output_types_from_code(code: str) -> list: + """ + Get the output types from the code. + """ + custom_component = CustomComponent(code=code) + types_list = custom_component.get_function_entrypoint_return_type + # Get the name of types classes + return [type_.__name__ for type_ in types_list if hasattr(type_, "__name__")] diff --git a/src/backend/langflow/interface/custom/utils.py b/src/backend/langflow/interface/custom/utils.py index 7e54bd547..e6125b515 100644 --- a/src/backend/langflow/interface/custom/utils.py +++ b/src/backend/langflow/interface/custom/utils.py @@ -7,8 +7,6 @@ from typing import Any, Dict, List, Optional, Union from uuid import UUID from fastapi import HTTPException -from loguru import logger - from langflow.field_typing.range_spec import RangeSpec from langflow.interface.custom.code_parser.utils import extract_inner_type from langflow.interface.custom.custom_component import CustomComponent @@ -21,6 +19,7 @@ from langflow.interface.importing.utils import eval_custom_component_code from langflow.template.field.base import TemplateField from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode from langflow.utils.util import get_base_classes +from loguru import logger def add_output_types(frontend_node: CustomComponentFrontendNode, return_types: List[str]): diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py index f273af6ae..804c07339 100644 --- a/src/backend/langflow/interface/initialize/loading.py +++ b/src/backend/langflow/interface/initialize/loading.py @@ -9,8 +9,8 @@ from langchain.agents.agent_toolkits.base import BaseToolkit from langchain.agents.tools import BaseTool from langchain.chains.base import Chain from langchain.document_loaders.base import BaseLoader -from langchain.schema import Document from langchain_community.vectorstores import VectorStore +from langchain_core.documents import Document from loguru import logger from pydantic import ValidationError diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py index 0163cdcc3..d01688165 100644 --- a/src/backend/langflow/interface/initialize/vector_store.py +++ b/src/backend/langflow/interface/initialize/vector_store.py @@ -2,7 +2,6 @@ import os from typing import Any, Callable, Dict, Type import orjson -from langchain.schema import Document from langchain_community.vectorstores import ( FAISS, Chroma, @@ -13,6 +12,7 @@ from langchain_community.vectorstores import ( SupabaseVectorStore, Weaviate, ) +from langchain_core.documents import Document def docs_in_params(params: dict) -> bool: diff --git a/src/backend/langflow/services/auth/utils.py b/src/backend/langflow/services/auth/utils.py index 912d1fbe8..a47604b9a 100644 --- a/src/backend/langflow/services/auth/utils.py +++ b/src/backend/langflow/services/auth/utils.py @@ -7,6 +7,7 @@ from fastapi import Depends, HTTPException, Security, status from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer from jose import JWTError, jwt from sqlmodel import Session +from starlette.websockets import WebSocket from langflow.services.database.models.api_key.model import ApiKey from langflow.services.database.models.api_key.crud import check_key @@ -130,6 +131,21 @@ async def get_current_user_by_jwt( return user +async def get_current_user_for_websocket( + websocket: WebSocket, + db: Session = Depends(get_session), + query_param: str = Security(api_key_query), +) -> Optional[User]: + token = websocket.query_params.get("token") + api_key = websocket.query_params.get("x-api-key") + if token: + return await get_current_user_by_jwt(token, db) + elif api_key: + return await api_key_security(api_key, query_param, db) + else: + return None + + def get_current_active_user(current_user: Annotated[User, Depends(get_current_user)]): if not current_user.is_active: raise HTTPException(status_code=400, detail="Inactive user") diff --git a/src/backend/langflow/utils/constants.py b/src/backend/langflow/utils/constants.py index 0704f2ec9..9b01f8c2d 100644 --- a/src/backend/langflow/utils/constants.py +++ b/src/backend/langflow/utils/constants.py @@ -8,12 +8,12 @@ OPENAI_MODELS = [ "text-ada-001", ] CHAT_OPENAI_MODELS = [ + "gpt-4-turbo-preview", + "gpt-4-0125-preview", "gpt-4-1106-preview", "gpt-4-vision-preview", - "gpt-4", - "gpt-4-32k", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-1106", ] diff --git a/src/backend/langflow/utils/util.py b/src/backend/langflow/utils/util.py index 0a348601d..7e1206222 100644 --- a/src/backend/langflow/utils/util.py +++ b/src/backend/langflow/utils/util.py @@ -1,14 +1,14 @@ -import re -import inspect import importlib +import inspect +import re from functools import wraps -from typing import List, Optional, Dict, Any, Union +from typing import Any, Dict, List, Optional, Union from docstring_parser import parse +from langchain_core.documents import Document from langflow.template.frontend_node.constants import FORCE_SHOW_FIELDS from langflow.utils import constants -from langchain.schema import Document def remove_ansi_escape_codes(text): diff --git a/src/frontend/playwright.config.ts b/src/frontend/playwright.config.ts index 8f7490b9e..a563c65f7 100644 --- a/src/frontend/playwright.config.ts +++ b/src/frontend/playwright.config.ts @@ -18,7 +18,7 @@ export default defineConfig({ /* Retry on CI only */ retries: process.env.CI ? 2 : 0, /* Opt out of parallel tests on CI. */ - workers: process.env.CI ? 1 : undefined, + workers: process.env.CI ? 2 : undefined, /* Reporter to use. See https://playwright.dev/docs/test-reporters */ reporter: [ ["html", { open: "never", outputFolder: "playwright-report/test-results" }], @@ -44,10 +44,10 @@ export default defineConfig({ use: { ...devices["Desktop Firefox"] }, }, - { - name: "webkit", - use: { ...devices["Desktop Safari"] }, - }, + // { + // name: "webkit", + // use: { ...devices["Desktop Safari"] }, + // }, /* Test against mobile viewports. */ // { diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index e94491941..934fdabbf 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -297,7 +297,7 @@ export default function GenericNode({ title={ data.node?.output_types && data.node.output_types.length > 0 - ? data.node.output_types.join("|") + ? data.node.output_types.join(" | ") : data.type } tooltipTitle={data.node?.base_classes.join("\n")} @@ -580,7 +580,7 @@ export default function GenericNode({ } title={ data.node?.output_types && data.node.output_types.length > 0 - ? data.node.output_types.join("|") + ? data.node.output_types.join(" | ") : data.type } tooltipTitle={data.node?.base_classes.join("\n")} diff --git a/src/frontend/src/icons/VectaraIcon/Vectara.jsx b/src/frontend/src/icons/VectaraIcon/Vectara.jsx new file mode 100644 index 000000000..0566f82eb --- /dev/null +++ b/src/frontend/src/icons/VectaraIcon/Vectara.jsx @@ -0,0 +1,1074 @@ +const SvgVectara = (props) => ( + <> + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +); +export default SvgVectara; diff --git a/src/frontend/src/icons/VectaraIcon/index.tsx b/src/frontend/src/icons/VectaraIcon/index.tsx new file mode 100644 index 000000000..5adc2d7e7 --- /dev/null +++ b/src/frontend/src/icons/VectaraIcon/index.tsx @@ -0,0 +1,9 @@ +import React, { forwardRef } from "react"; +import SvgVectara from "./Vectara"; + +export const VectaraIcon = forwardRef< + SVGSVGElement, + React.PropsWithChildren<{}> +>((props, ref) => { + return ; +}); diff --git a/src/frontend/src/icons/VectaraIcon/vectara.svg b/src/frontend/src/icons/VectaraIcon/vectara.svg new file mode 100644 index 000000000..1faafd320 --- /dev/null +++ b/src/frontend/src/icons/VectaraIcon/vectara.svg @@ -0,0 +1,252 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx index 13f6c3360..e25544bdf 100644 --- a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx @@ -189,7 +189,7 @@ export default function NodeToolbarComponent({ )} -
diff --git a/src/frontend/src/utils/styleUtils.ts b/src/frontend/src/utils/styleUtils.ts index ca51586d9..541ef5322 100644 --- a/src/frontend/src/utils/styleUtils.ts +++ b/src/frontend/src/utils/styleUtils.ts @@ -138,6 +138,7 @@ import { SearxIcon } from "../icons/Searx"; import { ShareIcon } from "../icons/Share"; import { Share2Icon } from "../icons/Share2"; import SvgSlackIcon from "../icons/Slack/SlackIcon"; +import { VectaraIcon } from "../icons/VectaraIcon"; import { VertexAIIcon } from "../icons/VertexAI"; import { WeaviateIcon } from "../icons/Weaviate"; import SvgWikipedia from "../icons/Wikipedia/Wikipedia"; @@ -233,6 +234,7 @@ export const nodeNames: { [char: string]: string } = { }; export const nodeIconsLucide: iconsType = { + Vectara: VectaraIcon, ArrowUpToLine: ArrowUpToLine, Chroma: ChromaIcon, AirbyteJSONLoader: AirbyteIcon, diff --git a/src/frontend/tests/custom_component_full.ts b/src/frontend/tests/custom_component_full.ts index be24deba3..c38d7ff06 100644 --- a/src/frontend/tests/custom_component_full.ts +++ b/src/frontend/tests/custom_component_full.ts @@ -3,7 +3,7 @@ export const custom = `from langflow import CustomComponent from langchain.llms.base import BaseLLM from langchain.chains import LLMChain from langchain.prompts import PromptTemplate -from langchain.schema import Document +from langchain_core.documents import Document from langflow.field_typing import NestedDict import requests diff --git a/tests/test_custom_component.py b/tests/test_custom_component.py index 94ddc2ec9..a47bb8d68 100644 --- a/tests/test_custom_component.py +++ b/tests/test_custom_component.py @@ -21,7 +21,7 @@ from langflow.interface.custom.custom_component import CustomComponent from langchain.llms.base import BaseLLM from langchain.chains import LLMChain from langchain.prompts import PromptTemplate -from langchain.schema import Document +from langchain_core.documents import Document import requests @@ -228,6 +228,7 @@ def test_custom_component_get_function_entrypoint_return_type(): Test the get_function_entrypoint_return_type property of the CustomComponent class. """ + custom_component = CustomComponent(code=code_default, function_entrypoint_name="build") return_type = custom_component.get_function_entrypoint_return_type assert return_type == [Document] diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index 647a36ece..97c2ad459 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -72,11 +72,12 @@ PROMPT_REQUEST = { "text-ada-001", ], "ChatOpenAI": [ + "gpt-4-turbo-preview", + "gpt-4-0125-preview", "gpt-4-1106-preview", - "gpt-4", - "gpt-4-32k", - "gpt-3.5-turbo", - "gpt-3.5-turbo-16k", + "gpt-4-vision-preview", + "gpt-3.5-turbo-0125", + "gpt-3.5-turbo-1106", ], "Anthropic": [ "claude-v1", diff --git a/tests/test_template.py b/tests/test_template.py index e01d9e65b..048d7da9e 100644 --- a/tests/test_template.py +++ b/tests/test_template.py @@ -235,7 +235,7 @@ def test_format_dict(): "password": False, "multiline": False, "options": CHAT_OPENAI_MODELS, - "value": "gpt-4-1106-preview", + "value": "gpt-4-turbo-preview", }, } assert format_dict(input_dict, "OpenAI") == expected_output_openai