Merge branch 'dev' of https://github.com/logspace-ai/langflow into 45-implement-agents-as-tools

CONTRIBUTING.md

@@ -43,9 +43,11 @@ the system we use to tag our issues and pull requests.
 You can develop LangFlow using docker compose, or locally.
 
 #### **Docker compose**
-This will run the backend and frontend in separate containers. The frontend will be available at `localhost:3000` and the backend at `localhost:5003`.
+This will run the backend and frontend in separate containers. The frontend will be available at `localhost:3000` and the backend at `localhost:7860`.
 ```bash
 docker compose up --build
+# or
+make dev build=1
 ```
 
 #### **Locally**
@@ -58,7 +60,6 @@ Before you start, make sure you have the following installed:
 For the backend, you will need to install the dependencies and start the development server.
 ```bash
 poetry install
-# Port 5003 is required for the backend to work with the frontend
 make run_backend
 ```
 For the frontend, you will need to install the dependencies and start the development server.

Makefile

@@ -39,6 +39,17 @@ build:
 	poetry build --format sdist
 	rm -rf src/backend/langflow/frontend
 
+dev:
+	make install_frontend
+ifeq ($(build),1)
+	@echo 'Running docker compose up with build'
+	docker compose up --build
+else
+	@echo 'Running docker compose up without build'
+	docker compose up
+endif
+
+
 publish:
 	make build
 	poetry publish
@@ -49,4 +60,8 @@ help:
 	@echo 'lint                - run linters'
 	@echo 'install_frontend    - install the frontend dependencies'
 	@echo 'build_frontend      - build the frontend static files'
-	@echo 'build               - build the frontend static files and package the project'
+	@echo 'run_frontend        - run the frontend in development mode'
+	@echo 'run_backend         - run the backend in development mode'
+	@echo 'build               - build the frontend static files and package the project'
+	@echo 'publish             - build the frontend static files and package the project and publish it to PyPI'
+	@echo 'dev                 - run the project in development mode with docker compose'

README.md

@@ -34,6 +34,18 @@ Creating flows with LangFlow is easy. Simply drag sidebar components onto the ca
 
 Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.
 
+Once you're done, you can export your flow as a JSON file to use with LangChain.
+To do so, click the "Export" button in the top right corner of the canvas, then
+in Python, you can load the flow with:
+
+```python
+from langflow import load_flow_from_json
+
+flow = load_flow_from_json("path/to/flow.json")
+# Now you can use it like any chain
+flow("Hey, have you heard of LangFlow?")
+```
+
 
 ## 👋 Contributing
 

dev.Dockerfile

@@ -3,7 +3,7 @@ FROM python:3.10-slim
 WORKDIR /app
 
 # Install Poetry
-RUN apt-get update && apt-get install -y curl
+RUN apt-get update && apt-get install gcc curl -y
 RUN curl -sSL https://install.python-poetry.org | python3 -
 # # Add Poetry to PATH
 ENV PATH="${PATH}:/root/.local/bin"

docker-compose.yml

@@ -15,12 +15,12 @@ services:
     build:
       context: ./src/frontend
       dockerfile: ./dev.Dockerfile
+      args:
+        - BACKEND_URL=http://backend:7860
     ports:
       - "3000:3000"
     volumes:
-      - ./src/frontend:/app
-    # Set process.env.BACKEND to the backend service
-    environment:
-      - BACKEND_HOST="http://backend"
-      - BACKEND_PORT="7860"
-    restart: on-failure
+     - ./src/frontend/public:/home/node/app/public
+     - ./src/frontend/src:/home/node/app/src
+     - ./src/frontend/package.json:/home/node/app/package.json
+    restart: on-failure

poetry.lock

@@ -1378,13 +1378,14 @@ files = [
 
 [[package]]
 name = "openai"
-version = "0.26.5"
+version = "0.27.2"
 description = "Python client library for the OpenAI API"
 category = "main"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-0.26.5.tar.gz", hash = "sha256:2882a59c67ae33c2716a04389a6e6680d061f073424953732f917fde219addfd"},
+    {file = "openai-0.27.2-py3-none-any.whl", hash = "sha256:6df674cf257e9e0504f1fd191c333d3f6a2442b13218d0eccf06230eb24d320e"},
+    {file = "openai-0.27.2.tar.gz", hash = "sha256:5869fdfa34b0ec66c39afa22f4a0fb83a135dff81f6505f52834c6ab3113f762"},
 ]
 
 [package.dependencies]
@@ -1395,7 +1396,7 @@ tqdm = "*"
 [package.extras]
 datalib = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 dev = ["black (>=21.6b0,<22.0)", "pytest (>=6.0.0,<7.0.0)", "pytest-asyncio", "pytest-mock"]
-embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "sklearn", "tenacity (>=8.0.1)"]
+embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "scipy", "tenacity (>=8.0.1)"]
 wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "wandb"]
 
 [[package]]
@@ -2406,4 +2407,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9"
-content-hash = "9287450d71ec7c3bd7b1ef2766e22b86fb92bf0e2f51260adf039b1175c74f7c"
+content-hash = "ebc0a8ca9ea284d8e986306a10f13ff91e7e8aae18341c83329f5b1e1bcc66bd"

pyproject.toml

@@ -1,21 +1,27 @@
 [tool.poetry]
 name = "langflow"
-version = "0.0.40"
+version = "0.0.45"
 description = "A Python package with a built-in web application"
 authors = ["Logspace <contact@logspace.ai>"]
-packages = [
-    { include = "langflow", from = "src/backend" },
+maintainers = [
+    "Gabriel Almeida <gabriel@logspace.ai>",
+    "Ibis Prevedello <ibiscp@gmail.com>",
+    "Lucas Eduoli <lucaseduoli@gmail.com>",
+    "Otávio Anovazzi <otavio2204@gmail.com>",
 ]
-include = ["src/backend/langflow/*", "src/backend/langflow/**/*"]
+repository = "https://github.com/logspace-ai/langflow"
 license = "MIT"
 readme = "README.md"
+keywords = ["nlp", "langchain", "openai", "gpt", "gui"]
+packages = [{ include = "langflow", from = "src/backend" }]
+include = ["src/backend/langflow/*", "src/backend/langflow/**/*"]
+
 
 [tool.poetry.scripts]
 langflow = "langflow.__main__:main"
 
 [tool.poetry.dependencies]
 python = "^3.9"
-openai = "^0.26.5"
 fastapi = "^0.92.0"
 uvicorn = "^0.20.0"
 beautifulsoup4 = "^4.11.2"
@@ -24,6 +30,7 @@ google-api-python-client = "^2.79.0"
 typer = "^0.7.0"
 gunicorn = "^20.1.0"
 langchain = "^0.0.113"
+openai = "^0.27.2"
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.1.0"

src/backend/langflow/__main__.py

@@ -1,12 +1,14 @@
 import multiprocessing
 import platform
-import re
 
 from langflow.main import create_app
 
 import typer
 from fastapi.staticfiles import StaticFiles
 from pathlib import Path
+import logging
+
+logger = logging.getLogger(__name__)
 
 
 def get_number_of_workers(workers=None):
@@ -15,35 +17,6 @@ def get_number_of_workers(workers=None):
     return workers
 
 
-def replace_port(static_files_dir, host, port):
-    # Load index.html from frontend directory
-    # In it there is a script tag that sets the base url
-    # like so setItem("port", "http://localhost:7860")
-    # localhost could be anything so we need to verify for string
-    # we need to set the base url to the port that the server is running on
-    # so that the frontend can make requests to the backend
-    # This is a hacky way to do it, but it works
-    new_string = f'setItem("port","http://{host}:{port}")'
-    with open(static_files_dir / "index.html", "r") as f:
-        index_html = f.read()
-        # using regex to replace the port
-        index_html = re.sub(
-            r"setItem\(\"port\",.*\)",
-            new_string,
-            index_html,
-        )
-    with open(static_files_dir / "index.html", "w") as f:
-        f.write(index_html)
-    # Verify that the port was replaced
-    with open(static_files_dir / "index.html", "r") as f:
-        index_html = f.read()
-        if new_string not in index_html:
-            raise ValueError(
-                "The port was not replaced in index.html. "
-                "Please check the regex in main.py"
-            )
-
-
 def serve(
     host: str = "127.0.0.1", workers: int = 1, timeout: int = 60, port: int = 7860
 ):
@@ -63,9 +36,6 @@ def serve(
         "timeout": timeout,
     }
 
-    # Replace the port in index.html
-    replace_port(static_files_dir, host, port)
-
     if platform.system() in ["Darwin", "Windows"]:
         # Run using uvicorn on MacOS and Windows
         # Windows doesn't support gunicorn

src/backend/langflow/interface/custom_lists.py

@@ -0,0 +1,6 @@
+from langchain import llms
+from langchain.llms.openai import OpenAIChat
+
+
+llm_type_to_cls_dict = llms.type_to_cls_dict
+llm_type_to_cls_dict["openai-chat"] = OpenAIChat

src/backend/langflow/interface/listing.py

@@ -1,4 +1,5 @@
-from langchain import chains, agents, prompts, llms
+from langchain import chains, agents, prompts
+from langflow.interface.custom_lists import llm_type_to_cls_dict
 from langflow.custom import customs
 from langflow.utils import util, allowed_components
 from langchain.agents.load_tools import get_all_tool_names
@@ -55,7 +56,7 @@ def list_llms():
     """List all llm types"""
     return [
         llm.__name__
-        for llm in llms.type_to_cls_dict.values()
+        for llm in llm_type_to_cls_dict.values()
         if llm.__name__ in allowed_components.LLMS
     ]
 

src/backend/langflow/interface/signature.py

@@ -1,5 +1,6 @@
 from typing import Dict, Any  # noqa: F401
-from langchain import agents, chains, llms, prompts
+from langchain import agents, chains, prompts
+from langflow.interface.custom_lists import llm_type_to_cls_dict
 from langchain.agents.load_tools import (
     _BASE_TOOLS,
     _EXTRA_LLM_TOOLS,
@@ -56,7 +57,7 @@ def get_prompt_signature(name: str):
 def get_llm_signature(name: str):
     """Get the signature of an llm."""
     try:
-        return util.build_template_from_class(name, llms.type_to_cls_dict)
+        return util.build_template_from_class(name, llm_type_to_cls_dict)
     except ValueError as exc:
         raise ValueError("LLM not found") from exc
 

src/backend/langflow/utils/allowed_components.py

@@ -4,6 +4,6 @@ AGENTS = ["ZeroShotAgent"]
 
 PROMPTS = ["PromptTemplate", "FewShotPromptTemplate"]
 
-LLMS = ["OpenAI"]
+LLMS = ["OpenAI", "OpenAIChat"]
 
 TOOLS = ["Search", "PAL-MATH", "Calculator", "Serper Search"]

src/backend/langflow/utils/constants.py

@@ -0,0 +1,8 @@
+OPENAI_MODELS = [
+    "text-davinci-003",
+    "text-davinci-002",
+    "text-curie-001",
+    "text-babbage-001",
+    "text-ada-001",
+]
+CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"]

src/backend/langflow/utils/util.py

@@ -11,6 +11,8 @@ from langchain.agents.load_tools import (
 )
 from typing import Optional, Dict
 
+from langflow.utils import constants
+
 
 def build_template_from_function(name: str, type_to_loader_dict: Dict):
     classes = [
@@ -296,7 +298,9 @@ def format_dict(d, name: Optional[str] = None):
 
         # Add options to openai
         if name == "OpenAI" and key == "model_name":
-            value["options"] = ["text-davinci-003", "text-davinci-002"]
+            value["options"] = constants.OPENAI_MODELS
+        elif name == "OpenAIChat" and key == "model_name":
+            value["options"] = constants.CHAT_OPENAI_MODELS
 
     return d
 

src/frontend/dev.Dockerfile

@@ -1,6 +1,23 @@
-FROM node:19-alpine as frontend_build
-ARG BACKEND
-WORKDIR /app
-COPY . /app
-RUN npm install
+#baseline
+FROM node:19-bullseye-slim AS base
+RUN mkdir -p /home/node/app
+RUN chown -R node:node /home/node && chmod -R 770 /home/node
+RUN apt-get update && apt-get install -y jq
+WORKDIR /home/node/app
+
+# client build
+FROM base AS builder-client
+ARG BACKEND_URL
+ENV BACKEND_URL $BACKEND_URL
+RUN echo "BACKEND_URL: $BACKEND_URL"
+
+WORKDIR /home/node/app
+COPY --chown=node:node . ./
+
+COPY ./set_proxy.sh .
+RUN chmod +x set_proxy.sh && ./set_proxy.sh
+
+USER node
+
+RUN npm install --loglevel warn
 CMD ["npm", "start"]

src/frontend/package-lock.json

@@ -1,12 +1,12 @@
 {
     "name": "langflow",
-    "version": "0.1.1",
+    "version": "0.1.2",
     "lockfileVersion": 3,
     "requires": true,
     "packages": {
         "": {
             "name": "langflow",
-            "version": "0.1.1",
+            "version": "0.1.2",
             "dependencies": {
                 "@emotion/react": "^11.10.5",
                 "@emotion/styled": "^11.10.5",
@@ -17080,9 +17080,9 @@
             }
         },
         "node_modules/webpack": {
-            "version": "5.75.0",
-            "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.75.0.tgz",
-            "integrity": "sha512-piaIaoVJlqMsPtX/+3KTTO6jfvrSYgauFVdt8cr9LTHKmcq/AMd4mhzsiP7ZF/PGRNPGA8336jldh9l2Kt2ogQ==",
+            "version": "5.76.2",
+            "resolved": "https://registry.npmjs.org/webpack/-/webpack-5.76.2.tgz",
+            "integrity": "sha512-Th05ggRm23rVzEOlX8y67NkYCHa9nTNcwHPBhdg+lKG+mtiW7XgggjAeeLnADAe7mLjJ6LUNfgHAuRRh+Z6J7w==",
             "dependencies": {
                 "@types/eslint-scope": "^3.7.3",
                 "@types/estree": "^0.0.51",

src/frontend/package.json

@@ -1,6 +1,6 @@
 {
     "name": "langflow",
-    "version": "0.1.1",
+    "version": "0.1.2",
     "private": true,
     "dependencies": {
         "@emotion/react": "^11.10.5",
@@ -53,5 +53,6 @@
             "last 1 firefox version",
             "last 1 safari version"
         ]
-    }
+    },
+    "proxy": "http://backend:7860"
 }

src/frontend/public/index.html

@@ -5,13 +5,10 @@
     <meta http-equiv="X-UA-Compatible" content="IE=edge">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
     <title>LangFLow</title>
-    <script>
-        window.sessionStorage.setItem("port","http://localhost:7860")
-    </script>
 </head>
 <body id='body' style="width: 100%; height:100%">
     <noscript>You need to enable JavaScript to run this app.</noscript>
     <div style="width: 100vw; height:100vh" id='root'>
     </div>
 </body>
-</html>
+</html>

src/frontend/set_proxy.sh

@@ -0,0 +1,10 @@
+#! /bin/bash
+# Edit package.json to set proxy
+backend_url=$BACKEND_URL
+echo "Setting proxy to $backend_url"
+# Load package.json file and edit proxy
+packagejson=$(cat package.json)
+
+packagejson=$(echo "$packagejson" | jq ".proxy = \"$backend_url\"")
+
+echo "$packagejson" > package.json

src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx

@@ -39,7 +39,6 @@ export default function ParameterComponent({
 	const [enabled, setEnabled] = useState(
 		data.node.template[name]?.value ?? false
 	);
-	console.log(data.node.template[name]);
 	const { reactFlowInstance } = useContext(typesContext);
 	let disabled =
 		reactFlowInstance?.getEdges().some((e) => e.targetHandle === id) ?? false;

src/frontend/src/CustomNodes/GenericNode/index.tsx

@@ -80,8 +80,8 @@ export default function GenericNode({ data, selected}:{data:NodeDataType,selecte
             data={data}
             color={nodeColors[types[data.type]]}
             title={data.type}
-            tooltipTitle={"Type: str"}
-            id={data.type + "|" + data.id + data.node.base_classes.map((b) => ("|" + b))}
+            tooltipTitle={`Type: ${data.node.base_classes.join(' | ')}`}
+            id={[data.type, data.id, ...data.node.base_classes].join('|')}
             type={'str'}
             left={false}
           />

src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx

@@ -7,7 +7,6 @@ import { SingleAlertComponentType } from "../../../../types/alerts";
 export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponentType) {
     const [show, setShow] = useState(true);
     const type = dropItem.type;
-    console.log(dropItem.id)
 
     return (
         <Transition

src/frontend/src/alerts/alertDropDown/index.tsx

@@ -16,7 +16,6 @@ export default function AlertDropdown({}: AlertDropdownType) {
 				componentRef.current &&
 				!componentRef.current.contains(event.target as Node)
 			) {
-        console.log(event)
 				closePopUp();
 			}
 		}

src/frontend/src/components/chatComponent/index.tsx

@@ -31,7 +31,6 @@ export default function Chat({ flow, reactFlowInstance }: ChatType) {
 		setChatHistory((old) => {
 			let newChat = _.cloneDeep(old);
 			if(JSON.stringify(flow.chat) !==JSON.stringify(old)){
-				console.log(old,flow.chat)
 				tabsChange = true
 				return old
 			}
@@ -43,7 +42,6 @@ export default function Chat({ flow, reactFlowInstance }: ChatType) {
 			return newChat;
 		});
 		if(tabsChange){
-			console.log(flow.chat)
 			if(thought){
 				updateFlow({..._.cloneDeep(flow),chat:[...flow.chat,{isSend,message,thought}]})
 			}
@@ -98,11 +96,9 @@ export default function Chat({ flow, reactFlowInstance }: ChatType) {
 				let message = chatValue;
 				setChatValue("");
 				addChatHistory(message, true);
-				console.log({ ...reactFlowInstance.toObject(), message, chatHistory });
 
 				sendAll({ ...reactFlowInstance.toObject(), message, chatHistory})
 					.then((r) => {
-						console.log(r.data);
 						addChatHistory(r.data.result, false, r.data.thought);
 						setLockChat(false);
 					})

src/frontend/src/contexts/tabsContext.tsx

@@ -131,7 +131,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
 
 		// Create a new flow with a default name if no flow is provided.
 		let newFlow: FlowType = {
-			name: flow ? flow.name : "New Flow " + (flows.length===0?"":flows.length),
+			name: "New Flow",
 			id: id.toString(),
 			data,
 			chat: flow ? flow.chat : [],

src/frontend/src/controllers/NodesServices/index.ts

@@ -1,13 +1,10 @@
 import { APIObjectType, sendAllProps } from '../../types/api/index';
 import axios, { AxiosResponse } from "axios";
 
-const backendUrl = window.sessionStorage.getItem('port') || "http://localhost:7860";
-
 export async function getAll():Promise<AxiosResponse<APIObjectType>> {
-    return await axios.get(`${backendUrl}/all`);
+    return await axios.get(`/all`);
 }
 
 export async function sendAll(data:sendAllProps) {
-    console.log(data);
-    return await axios.post(`${backendUrl}/predict`, data);
+    return await axios.post(`/predict`, data);
 }

src/frontend/src/pages/FlowPage/components/tabsManagerComponent/index.tsx

@@ -4,17 +4,24 @@ import TabComponent from "../tabComponent";
 import { TabsContext } from "../../../../contexts/tabsContext";
 import FlowPage from "../..";
 import { darkContext } from "../../../../contexts/darkContext";
-import { BellIcon, MoonIcon, SunIcon } from "@heroicons/react/24/outline";
+import {
+	ArrowDownTrayIcon,
+	ArrowUpTrayIcon,
+	BellIcon,
+	MoonIcon,
+	SunIcon,
+} from "@heroicons/react/24/outline";
 import { PopUpContext } from "../../../../contexts/popUpContext";
 import AlertDropdown from "../../../../alerts/alertDropDown";
 import { alertContext } from "../../../../contexts/alertContext";
 
 export default function TabsManagerComponent() {
-	const { flows, addFlow, tabIndex, setTabIndex } = useContext(TabsContext);
+	const { flows, addFlow, tabIndex, setTabIndex, uploadFlow, downloadFlow } = useContext(TabsContext);
 	const { openPopUp } = useContext(PopUpContext);
-	const AlertWidth = 256
+	const AlertWidth = 256;
 	const { dark, setDark } = useContext(darkContext);
-	const {notificationCenter, setNotificationCenter} = useContext(alertContext)
+	const { notificationCenter, setNotificationCenter } =
+		useContext(alertContext);
 	useEffect(() => {
 		//create the first flow
 		if (flows.length === 0) {
@@ -43,6 +50,12 @@ export default function TabsManagerComponent() {
 					flow={null}
 				/>
 				<div className="ml-auto mr-2 flex gap-3">
+					<button onClick={() => uploadFlow()} className="flex items-center gap-1 pr-2 border-gray-400 border-r text-sm text-gray-400 hover:text-gray-500">
+						Import <ArrowUpTrayIcon className="w-5 h-5" />
+					</button>
+					<button onClick={() => downloadFlow()} className="flex items-center gap-1 mr-2 text-sm text-gray-400 hover:text-gray-500">
+						Export <ArrowDownTrayIcon className="h-5 w-5" />
+					</button>
 					<button
 						className="text-gray-400 hover:text-gray-500 "
 						onClick={() => {
@@ -58,13 +71,23 @@ export default function TabsManagerComponent() {
 					<button
 						className="text-gray-400 hover:text-gray-500 relative"
 						onClick={(event: React.MouseEvent<HTMLElement>) => {
-							setNotificationCenter(false)
-							const top = (event.target as Element).getBoundingClientRect().top
-							const left = (event.target as Element).getBoundingClientRect().left
-							openPopUp(<div className="z-10 absolute" style={{top:top+20, left:left-AlertWidth}}><AlertDropdown/></div>)
+							setNotificationCenter(false);
+							const top = (event.target as Element).getBoundingClientRect().top;
+							const left = (event.target as Element).getBoundingClientRect()
+								.left;
+							openPopUp(
+								<div
+									className="z-10 absolute"
+									style={{ top: top + 20, left: left - AlertWidth }}
+								>
+									<AlertDropdown />
+								</div>
+							);
 						}}
 					>
-						{notificationCenter&&<div className='absolute w-1.5 h-1.5 rounded-full bg-red-600 right-[3px]'></div>}
+						{notificationCenter && (
+							<div className="absolute w-1.5 h-1.5 rounded-full bg-red-600 right-[3px]"></div>
+						)}
 						<BellIcon className="h-5 w-5" aria-hidden="true" />
 					</button>
 				</div>

src/frontend/src/pages/FlowPage/index.tsx

@@ -182,17 +182,6 @@ export default function FlowPage({ flow }:{flow:FlowType}) {
 					>
 						<Background className="dark:bg-gray-900"/>
 						<Controls className="[&>button]:text-black  [&>button]:dark:bg-gray-800 hover:[&>button]:dark:bg-gray-700 [&>button]:dark:text-gray-400 [&>button]:dark:fill-gray-400 [&>button]:dark:border-gray-600">
-							<ControlButton
-								onClick={() => uploadFlow()}
-							>
-								<ArrowUpTrayIcon />
-							</ControlButton>
-
-							<ControlButton
-								onClick={() => downloadFlow()}
-							>
-								<ArrowDownTrayIcon />
-							</ControlButton>
 						</Controls>
 					</ReactFlow>
 					<Chat flow={flow} reactFlowInstance={reactFlowInstance} />