farcasclaudiu/Flowise
1
0
Fork 0
mirror of https://github.com/farcasclaudiu/Flowise.git synced 2026-06-29 23:01:16 +03:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'maintenance/pnpm-vite-jsx' of https://github.com/use-the-fork/Flowise into maintenance/vite-pnpm-tsup

Browse Source 
# Conflicts:
#	packages/ui/pnpm-lock.yaml
#	packages/ui/vite.config.js
This commit is contained in:
Greg L
2023-12-05 17:03:37 -05:00
parent ee39ce26c1 4e3f219e2d
commit 75a2915388
42 changed files with 25902 additions and 36945 deletions
Download Patch File Download Diff File Expand all files Collapse all files
packages/components/credentials/LangfuseApi.credential.ts
+1 -1
View File
@@ -12,7 +12,7 @@ class LangfuseApi implements INodeCredential {
this.name = 'langfuseApi'
this.version = 1.0
this.description =
'Refer to <a target="_blank" href="https://langfuse.com/docs/get-started/">official guide</a> on how to get API key on Langfuse'
'Refer to <a target="_blank" href="https://langfuse.com/docs/flowise">integration guide</a> on how to get API keys on Langfuse'
this.inputs = [
{
label: 'Secret Key',
packages/components/credentials/index.ts
-1
View File
@@ -1 +0,0 @@
export * from '.'
packages/components/nodes/agents/ConversationalRetrievalAgent/ConversationalRetrievalAgent.ts
+3 -3
View File
@@ -21,7 +21,7 @@ class ConversationalRetrievalAgent_Agents implements INode {
constructor() {
this.label = 'Conversational Retrieval Agent'
this.name = 'conversationalRetrievalAgent'
this.version = 1.0
this.version = 2.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
@@ -40,9 +40,9 @@ class ConversationalRetrievalAgent_Agents implements INode {
type: 'BaseChatMemory'
},
{
label: 'OpenAI Chat Model',
label: 'OpenAI/Azure Chat Model',
name: 'model',
type: 'ChatOpenAI'
type: 'ChatOpenAI | AzureChatOpenAI'
},
{
label: 'System Message',
packages/components/nodes/agents/OpenAIFunctionAgent/OpenAIFunctionAgent.ts
+4 -6
View File
@@ -20,11 +20,11 @@ class OpenAIFunctionAgent_Agents implements INode {
constructor() {
this.label = 'OpenAI Function Agent'
this.name = 'openAIFunctionAgent'
this.version = 1.0
this.version = 2.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'openai.png'
this.description = `An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call`
this.description = `An agent that uses Function Calling to pick the tool and args to call`
this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)]
this.inputs = [
{
@@ -39,11 +39,9 @@ class OpenAIFunctionAgent_Agents implements INode {
type: 'BaseChatMemory'
},
{
label: 'OpenAI Chat Model',
label: 'OpenAI/Azure Chat Model',
name: 'model',
description:
'Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer <a target="_blank" href="https://platform.openai.com/docs/guides/gpt/function-calling">docs</a> for more info',
type: 'BaseChatModel'
type: 'ChatOpenAI | AzureChatOpenAI'
},
{
label: 'System Message',
packages/components/nodes/chains/LLMChain/LLMChain.ts
+3 -3
View File
@@ -1,7 +1,7 @@
import { ICommonObject, INode, INodeData, INodeOutputsValue, INodeParams } from '../../../src/Interface'
import { getBaseClasses, handleEscapeCharacters } from '../../../src/utils'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { BaseLanguageModel, BaseLanguageModelCallOptions } from 'langchain/base_language'
import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
import { BaseOutputParser } from 'langchain/schema/output_parser'
import { formatResponse, injectOutputParser } from '../../outputparsers/OutputParserHelpers'
@@ -141,7 +141,7 @@ class LLMChain_Chains implements INode {
const runPrediction = async (
inputVariables: string[],
chain: LLMChain<string | object>,
chain: LLMChain<string | object | BaseLanguageModel<any, BaseLanguageModelCallOptions>>,
input: string,
promptValuesRaw: ICommonObject | undefined,
options: ICommonObject,
@@ -164,7 +164,7 @@ const runPrediction = async (
if (moderations && moderations.length > 0) {
try {
// Use the output of the moderation chain as input for the LLM chain
input = await checkInputs(moderations, chain.llm, input)
input = await checkInputs(moderations, input)
} catch (e) {
await new Promise((resolve) => setTimeout(resolve, 500))
streamResponse(isStreaming, e.message, socketIO, socketIOClientId)
packages/components/nodes/chatmodels/AWSBedrock/AWSChatBedrock.ts
+6 -3
View File
@@ -27,7 +27,7 @@ class AWSChatBedrock_ChatModels implements INode {
constructor() {
this.label = 'AWS Bedrock'
this.name = 'awsChatBedrock'
this.version = 2.0
this.version = 3.0
this.type = 'AWSChatBedrock'
this.icon = 'awsBedrock.png'
this.category = 'Chat Models'
@@ -97,7 +97,8 @@ class AWSChatBedrock_ChatModels implements INode {
options: [
{ label: 'anthropic.claude-instant-v1', name: 'anthropic.claude-instant-v1' },
{ label: 'anthropic.claude-v1', name: 'anthropic.claude-v1' },
{ label: 'anthropic.claude-v2', name: 'anthropic.claude-v2' }
{ label: 'anthropic.claude-v2', name: 'anthropic.claude-v2' },
{ label: 'meta.llama2-13b-chat-v1', name: 'meta.llama2-13b-chat-v1' }
],
default: 'anthropic.claude-v2'
},
@@ -128,12 +129,14 @@ class AWSChatBedrock_ChatModels implements INode {
const iTemperature = nodeData.inputs?.temperature as string
const iMax_tokens_to_sample = nodeData.inputs?.max_tokens_to_sample as string
const cache = nodeData.inputs?.cache as BaseCache
const streaming = nodeData.inputs?.streaming as boolean
const obj: BaseBedrockInput & BaseLLMParams = {
region: iRegion,
model: iModel,
maxTokens: parseInt(iMax_tokens_to_sample, 10),
temperature: parseFloat(iTemperature)
temperature: parseFloat(iTemperature),
streaming: streaming ?? true
}
/**
packages/components/nodes/chatmodels/ChatHuggingFace/core.ts
+1 -1
View File
@@ -107,7 +107,7 @@ export class HuggingFaceInference extends LLM implements HFInput {
const { HfInference } = await import('@huggingface/inference')
return { HfInference }
} catch (e) {
throw new Error('Please install huggingface as a dependency with, e.g. `yarn add @huggingface/inference`')
throw new Error('Please install huggingface as a dependency with, e.g. `pnpm install @huggingface/inference`')
}
}
}
packages/components/nodes/embeddings/AWSBedrockEmbedding/AWSBedrockEmbedding.ts
+4 -2
View File
@@ -18,7 +18,7 @@ class AWSBedrockEmbedding_Embeddings implements INode {
constructor() {
this.label = 'AWS Bedrock Embeddings'
this.name = 'AWSBedrockEmbeddings'
this.version = 1.0
this.version = 2.0
this.type = 'AWSBedrockEmbeddings'
this.icon = 'awsBedrock.png'
this.category = 'Embeddings'
@@ -81,7 +81,9 @@ class AWSBedrockEmbedding_Embeddings implements INode {
type: 'options',
options: [
{ label: 'amazon.titan-embed-text-v1', name: 'amazon.titan-embed-text-v1' },
{ label: 'amazon.titan-embed-g1-text-02', name: 'amazon.titan-embed-g1-text-02' }
{ label: 'amazon.titan-embed-g1-text-02', name: 'amazon.titan-embed-g1-text-02' },
{ label: 'cohere.embed-english-v3', name: 'cohere.embed-english-v3' },
{ label: 'cohere.embed-multilingual-v3', name: 'cohere.embed-multilingual-v3' }
],
default: 'amazon.titan-embed-text-v1'
}
packages/components/nodes/llms/AWSBedrock/AWSBedrock.ts
+2 -1
View File
@@ -27,7 +27,7 @@ class AWSBedrock_LLMs implements INode {
constructor() {
this.label = 'AWS Bedrock'
this.name = 'awsBedrock'
this.version = 1.2
this.version = 2.0
this.type = 'AWSBedrock'
this.icon = 'awsBedrock.png'
this.category = 'LLMs'
@@ -98,6 +98,7 @@ class AWSBedrock_LLMs implements INode {
{ label: 'amazon.titan-tg1-large', name: 'amazon.titan-tg1-large' },
{ label: 'amazon.titan-e1t-medium', name: 'amazon.titan-e1t-medium' },
{ label: 'cohere.command-text-v14', name: 'cohere.command-text-v14' },
{ label: 'cohere.command-light-text-v14', name: 'cohere.command-light-text-v14' },
{ label: 'ai21.j2-grande-instruct', name: 'ai21.j2-grande-instruct' },
{ label: 'ai21.j2-jumbo-instruct', name: 'ai21.j2-jumbo-instruct' },
{ label: 'ai21.j2-mid', name: 'ai21.j2-mid' },
packages/components/nodes/llms/Cohere/core.ts
+1 -1
View File
@@ -72,7 +72,7 @@ export class Cohere extends LLM implements CohereInput {
const { default: cohere } = await import('cohere-ai')
return { cohere }
} catch (e) {
throw new Error('Please install cohere-ai as a dependency with, e.g. `yarn add cohere-ai`')
throw new Error('Please install cohere-ai as a dependency with, e.g. `pnpm install cohere-ai`')
}
}
}
packages/components/nodes/moderation/Moderation.ts
+3 -4
View File
@@ -1,13 +1,12 @@
import { BaseLanguageModel } from 'langchain/base_language'
import { Server } from 'socket.io'
export abstract class Moderation {
abstract checkForViolations(llm: BaseLanguageModel, input: string): Promise<string>
abstract checkForViolations(input: string): Promise<string>
}
export const checkInputs = async (inputModerations: Moderation[], llm: BaseLanguageModel, input: string): Promise<string> => {
export const checkInputs = async (inputModerations: Moderation[], input: string): Promise<string> => {
for (const moderation of inputModerations) {
input = await moderation.checkForViolations(llm, input)
input = await moderation.checkForViolations(input)
}
return input
}
packages/components/nodes/moderation/OpenAIModeration/OpenAIModeration.ts
+14 -4
View File
@@ -1,5 +1,5 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src'
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src'
import { Moderation } from '../Moderation'
import { OpenAIModerationRunner } from './OpenAIModerationRunner'
@@ -12,6 +12,7 @@ class OpenAIModeration implements INode {
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
@@ -23,6 +24,12 @@ class OpenAIModeration implements INode {
this.category = 'Moderation'
this.description = 'Check whether content complies with OpenAI usage policies.'
this.baseClasses = [this.type, ...getBaseClasses(Moderation)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['openAIApi']
}
this.inputs = [
{
label: 'Error Message',
@@ -35,8 +42,11 @@ class OpenAIModeration implements INode {
]
}
async init(nodeData: INodeData): Promise<any> {
const runner = new OpenAIModerationRunner()
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
const runner = new OpenAIModerationRunner(openAIApiKey)
const moderationErrorMessage = nodeData.inputs?.moderationErrorMessage as string
if (moderationErrorMessage) runner.setErrorMessage(moderationErrorMessage)
return runner
packages/components/nodes/moderation/OpenAIModeration/OpenAIModerationRunner.ts
+8 -5
View File
@@ -1,18 +1,21 @@
import { Moderation } from '../Moderation'
import { BaseLanguageModel } from 'langchain/base_language'
import { OpenAIModerationChain } from 'langchain/chains'
export class OpenAIModerationRunner implements Moderation {
private openAIApiKey = ''
private moderationErrorMessage: string = "Text was found that violates OpenAI's content policy."
async checkForViolations(llm: BaseLanguageModel, input: string): Promise<string> {
const openAIApiKey = (llm as any).openAIApiKey
if (!openAIApiKey) {
constructor(openAIApiKey: string) {
this.openAIApiKey = openAIApiKey
}
async checkForViolations(input: string): Promise<string> {
if (!this.openAIApiKey) {
throw Error('OpenAI API key not found')
}
// Create a new instance of the OpenAIModerationChain
const moderation = new OpenAIModerationChain({
openAIApiKey: openAIApiKey,
openAIApiKey: this.openAIApiKey,
throwError: false // If set to true, the call will throw an error when the moderation chain detects violating content. If set to false, violating content will return "Text was found that violates OpenAI's content policy.".
})
// Send the user's input to the moderation chain and wait for the result
packages/components/nodes/moderation/SimplePromptModeration/SimplePromptModerationRunner.ts
+1 -2
View File
@@ -1,5 +1,4 @@
import { Moderation } from '../Moderation'
import { BaseLanguageModel } from 'langchain/base_language'
export class SimplePromptModerationRunner implements Moderation {
private readonly denyList: string = ''
@@ -13,7 +12,7 @@ export class SimplePromptModerationRunner implements Moderation {
this.moderationErrorMessage = moderationErrorMessage
}
async checkForViolations(_: BaseLanguageModel, input: string): Promise<string> {
async checkForViolations(input: string): Promise<string> {
this.denyList.split('\n').forEach((denyListItem) => {
if (denyListItem && denyListItem !== '' && input.includes(denyListItem)) {
throw Error(this.moderationErrorMessage)
packages/components/nodes/outputparsers/OutputParserHelpers.ts
+2 -2
View File
@@ -1,6 +1,6 @@
import { BaseOutputParser } from 'langchain/schema/output_parser'
import { LLMChain } from 'langchain/chains'
import { BaseLanguageModel } from 'langchain/base_language'
import { BaseLanguageModel, BaseLanguageModelCallOptions } from 'langchain/base_language'
import { ICommonObject } from '../../src'
import { ChatPromptTemplate, FewShotPromptTemplate, PromptTemplate, SystemMessagePromptTemplate } from 'langchain/prompts'
@@ -15,7 +15,7 @@ export const formatResponse = (response: string | object): string | object => {
export const injectOutputParser = (
outputParser: BaseOutputParser<unknown>,
chain: LLMChain<string, BaseLanguageModel>,
chain: LLMChain<string | object | BaseLanguageModel<any, BaseLanguageModelCallOptions>>,
promptValues: ICommonObject | undefined = undefined
) => {
if (outputParser && chain.prompt) {
packages/components/nodes/vectorstores/InMemory/InMemoryVectorStore.ts
+2 -1
View File
@@ -31,7 +31,8 @@ class InMemoryVectorStore_VectorStores implements INode {
label: 'Document',
name: 'document',
type: 'Document',
list: true
list: true,
optional: true
},
{
label: 'Embeddings',
packages/components/package.json
+4 -4
View File
@@ -1,11 +1,10 @@
{
"name": "flowise-components",
"version": "1.4.2",
"version": "1.4.3",
"description": "Flowiseai Components",
"main": "dist/src/index",
"types": "dist/src/index.d.ts",
"scripts": {
"preinstall": "npx only-allow pnpm",
"build": "tsc && gulp",
"dev": "tsc --watch",
"lint": "eslint . --ext ts,tsx --report-unused-disable-directives --max-warnings 0",
@@ -26,7 +25,8 @@
"@dqbd/tiktoken": "^1.0.7",
"@elastic/elasticsearch": "^8.9.0",
"@getzep/zep-js": "^0.6.3",
"@gomomento/sdk": "^1.40.2",
"@gomomento/sdk": "^1.51.1",
"@gomomento/sdk-core": "^1.51.1",
"@google-ai/generativelanguage": "^0.2.1",
"@huggingface/inference": "^2.6.1",
"@notionhq/client": "^2.2.8",
@@ -55,7 +55,7 @@
"html-to-text": "^9.0.5",
"ioredis": "^5.3.2",
"jsdom": "^22.1.0",
"langchain": "^0.0.165",
"langchain": "^0.0.196",
"langfuse-langchain": "^1.0.31",
"langsmith": "^0.0.32",
"linkifyjs": "^4.1.1",
packages/components/pnpm-lock.yaml
Generated
-11713
View File
File diff suppressed because it is too large Load Diff
packages/server/marketplaces/chatflows/API Agent OpenAI.json
+4 -5
View File
@@ -334,7 +334,7 @@
"id": "openAIFunctionAgent_0",
"label": "OpenAI Function Agent",
"name": "openAIFunctionAgent",
"version": 1,
"version": 2,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
@@ -365,11 +365,10 @@
"id": "openAIFunctionAgent_0-input-memory-BaseChatMemory"
},
{
"label": "OpenAI Chat Model",
"label": "OpenAI/Azure Chat Model",
"name": "model",
"description": "Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer <a target=\"_blank\" href=\"https://platform.openai.com/docs/guides/gpt/function-calling\">docs</a> for more info",
"type": "BaseChatModel",
"id": "openAIFunctionAgent_0-input-model-BaseChatModel"
"type": "ChatOpenAI | AzureChatOpenAI",
"id": "openAIFunctionAgent_0-input-model-ChatOpenAI | AzureChatOpenAI"
}
],
"inputs": {
packages/server/marketplaces/chatflows/Conversational Retrieval Agent.json
+4 -4
View File
@@ -98,7 +98,7 @@
"data": {
"id": "conversationalRetrievalAgent_0",
"label": "Conversational Retrieval Agent",
"version": 1,
"version": 2,
"name": "conversationalRetrievalAgent",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "Runnable"],
@@ -130,10 +130,10 @@
"id": "conversationalRetrievalAgent_0-input-memory-BaseChatMemory"
},
{
"label": "OpenAI Chat Model",
"label": "OpenAI/Azure Chat Model",
"name": "model",
"type": "ChatOpenAI",
"id": "conversationalRetrievalAgent_0-input-model-ChatOpenAI"
"type": "ChatOpenAI | AzureChatOpenAI",
"id": "conversationalRetrievalAgent_0-input-model-ChatOpenAI | AzureChatOpenAI"
}
],
"inputs": {
packages/server/marketplaces/chatflows/OpenAI Agent.json
+4 -5
View File
@@ -206,7 +206,7 @@
"id": "openAIFunctionAgent_0",
"label": "OpenAI Function Agent",
"name": "openAIFunctionAgent",
"version": 1,
"version": 2,
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain"],
"category": "Agents",
@@ -237,11 +237,10 @@
"id": "openAIFunctionAgent_0-input-memory-BaseChatMemory"
},
{
"label": "OpenAI Chat Model",
"label": "OpenAI/Azure Chat Model",
"name": "model",
"description": "Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer <a target=\"_blank\" href=\"https://platform.openai.com/docs/guides/gpt/function-calling\">docs</a> for more info",
"type": "BaseChatModel",
"id": "openAIFunctionAgent_0-input-model-BaseChatModel"
"type": "ChatOpenAI | AzureChatOpenAI",
"id": "openAIFunctionAgent_0-input-model-ChatOpenAI | AzureChatOpenAI"
}
],
"inputs": {
packages/server/nodemon.json
+1 -1
View File
@@ -1,6 +1,6 @@
{
"ignore": ["**/*.spec.ts", ".git", "node_modules"],
"watch": ["commands", "index.ts", "src", "../components/nodes", "../components/src"],
"exec": "./bin/dev start",
"exec": "npm start",
"ext": "ts"
}
packages/server/package.json
+2 -3
View File
@@ -1,6 +1,6 @@
{
"name": "flowise",
"version": "1.4.2",
"version": "1.4.3",
"description": "Flowiseai Server",
"main": "dist/index",
"types": "dist/index.d.ts",
@@ -20,7 +20,6 @@
"commands": "./dist/commands"
},
"scripts": {
"preinstall": "npx only-allow pnpm",
"build": "tsc",
"start": "run-script-os",
"clean": "rimraf dist",
@@ -44,7 +43,7 @@
"email": "henryheng@flowiseai.com"
},
"engines": {
"node": ">=18.15.0"
"node": ">=18.15.0 <19.0.0 || ^20"
},
"license": "SEE LICENSE IN LICENSE.md",
"dependencies": {
packages/server/pnpm-lock.yaml
Generated
-5607
View File
File diff suppressed because it is too large Load Diff
packages/server/src/utils/index.ts
+1 -1
View File
@@ -844,7 +844,7 @@ export const findAvailableConfigs = (reactFlowNodes: IReactFlowNode[], component
*/
export const isFlowValidForStream = (reactFlowNodes: IReactFlowNode[], endingNodeData: INodeData) => {
const streamAvailableLLMs = {
'Chat Models': ['azureChatOpenAI', 'chatOpenAI', 'chatAnthropic', 'chatOllama'],
'Chat Models': ['azureChatOpenAI', 'chatOpenAI', 'chatAnthropic', 'chatOllama', 'awsChatBedrock'],
LLMs: ['azureOpenAI', 'openAI', 'ollama']
}
packages/ui/.env.example
+1 -1
View File
@@ -1 +1 @@
PORT=8080
VITE_PORT=8080
packages/ui/index.html
+41 -39
View File
@@ -1,44 +1,46 @@
<!DOCTYPE html>
<html lang="en">
<head>
<title>Flowise - Low-code LLM apps builder</title>
<link rel="icon" href="favicon.ico" />
<!-- Meta Tags-->
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="theme-color" content="#2296f3" />
<meta name="title" content="Flowise - Low-code LLM apps builder" />
<meta name="description" content="Flowise helps you to better integrate Web3 with existing Web2 applications" />
<meta name="keywords" content="react, material-ui, reactjs, reactjs, workflow automation, web3, web2, blockchain" />
<meta name="author" content="CodedThemes" />
<!-- Open Graph / Facebook -->
<meta property="og:locale" content="en_US" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://flowiseai.com/" />
<meta property="og:site_name" content="flowiseai.com" />
<meta property="article:publisher" content="https://www.facebook.com/codedthemes" />
<meta property="og:title" content="Flowise - Low-code LLM apps builder" />
<meta property="og:description" content="Flowise helps you to better build LLM flows using Langchain in simple GUI" />
<meta property="og:image" content="https://flowiseai.com/og-image/og-facebook.png" />
<!-- Twitter -->
<meta property="twitter:card" content="summary_large_image" />
<meta property="twitter:url" content="https://flowiseai.com" />
<meta property="twitter:title" content="Flowise - Low-code LLM apps builder" />
<meta property="twitter:description" content="Flowise helps you to better build LLM flows using Langchain in simple GUI" />
<meta property="twitter:image" content="https://flowiseai.com/og-image/og-twitter.png" />
<meta name="twitter:creator" content="@codedthemes" />
<head>
<title>Flowise - Low-code LLM apps builder</title>
<link rel="icon" href="favicon.ico" />
<!-- Meta Tags-->
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="theme-color" content="#2296f3" />
<meta name="title" content="Flowise - Low-code LLM apps builder" />
<meta name="description" content="Drag & drop UI to build your customized LLM flow" />
<meta name="keywords" content="react, material-ui, workflow automation, llm, artificial-intelligence" />
<meta name="author" content="FlowiseAI" />
<!-- Open Graph / Facebook -->
<meta property="og:locale" content="en_US" />
<meta property="og:type" content="website" />
<meta property="og:url" content="https://flowiseai.com/" />
<meta property="og:site_name" content="flowiseai.com" />
<meta property="og:title" content="Flowise - Low-code LLM apps builder" />
<meta property="og:description" content="Drag & drop UI to build your customized LLM flow" />
<!-- Twitter -->
<meta property="twitter:card" content="summary_large_image" />
<meta property="twitter:url" content="https://twitter.com/FlowiseAI" />
<meta property="twitter:title" content="Flowise - Low-code LLM apps builder" />
<meta property="twitter:description" content="Drag & drop UI to build your customized LLM flow" />
<meta name="twitter:creator" content="@FlowiseAI" />
<link rel="preconnect" href="https://fonts.gstatic.com" />
<link
href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Poppins:wght@400;500;600;700&family=Roboto:wght@400;500;700&display=swap"
rel="stylesheet"
/>
</head>
<link rel="preconnect" href="https://fonts.gstatic.com" />
<link
href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Poppins:wght@400;500;600;700&family=Roboto:wght@400;500;700&display=swap"
rel="stylesheet"
/>
</head>
<body>
<noscript>You need to enable JavaScript to run this app.</noscript>
<div id="root"></div>
<div id="portal"></div>
<script type="module" src="src/index.jsx"></script>
</body>
<body>
<noscript>You need to enable JavaScript to run this app.</noscript>
<div id="root"></div>
<div id="portal"></div>
<script type="module" src="src/index.jsx"></script>
<script>
if (global === undefined) {
var global = window
}
</script>
</body>
</html>
packages/ui/package.json
+1 -2
View File
@@ -1,6 +1,6 @@
{
"name": "flowise-ui",
"version": "1.4.0",
"version": "1.4.1",
"license": "SEE LICENSE IN LICENSE.md",
"homepage": "https://flowiseai.com",
"author": {
@@ -59,7 +59,6 @@
"yup": "^0.32.9"
},
"scripts": {
"preinstall": "npx only-allow pnpm",
"dev": "vite",
"build": "vite build",
"clean": "rimraf build",
packages/ui/pnpm-lock.yaml
Generated
-14911
View File
File diff suppressed because it is too large Load Diff
packages/ui/public/index.html
+2 -2
View File
@@ -55,8 +55,8 @@
You can add webfonts, meta tags, or analytics to this file.
The build step will place the bundled scripts into the <body> tag.
To begin the development, run `npm start` or `yarn start`.
To create a production bundle, use `npm run build` or `yarn build`.
To begin the development, run `pnpm start`.
To create a production bundle, use `pnpm build`.
-->
</body>
</html>
packages/ui/src/store/constant.js
+3 -1
View File
@@ -4,7 +4,9 @@ export const drawerWidth = 260
export const appDrawerWidth = 320
export const maxScroll = 100000
export const baseURL =
import.meta.env.PROD === true ? window.location.protocol : window.location.protocol + '//' + window.location.hostname + ':3000'
import.meta.env.PROD === true
? window.location.origin
: window.location.origin.replace(`:${import.meta.env.VITE_PORT ?? '8080'}`, ':3000')
export const uiBaseURL = window.location.origin
export const FLOWISE_CREDENTIAL_ID = 'FLOWISE_CREDENTIAL_ID'
export const REDACTED_CREDENTIAL_VALUE = '_FLOWISE_BLANK_07167752-1a71-43b1-bf8f-4f32252165db'
packages/ui/src/views/canvas/AddNodes.jsx
+8 -4
View File
@@ -68,10 +68,14 @@ const AddNodes = ({ nodesData, node }) => {
else newNodes.push(vsNode)
}
delete obj['Vector Stores']
obj['Vector Stores;DEPRECATING'] = deprecatingNodes
accordianCategories['Vector Stores;DEPRECATING'] = isFilter ? true : false
obj['Vector Stores;NEW'] = newNodes
accordianCategories['Vector Stores;NEW'] = isFilter ? true : false
if (deprecatingNodes.length) {
obj['Vector Stores;DEPRECATING'] = deprecatingNodes
accordianCategories['Vector Stores;DEPRECATING'] = isFilter ? true : false
}
if (newNodes.length) {
obj['Vector Stores;NEW'] = newNodes
accordianCategories['Vector Stores;NEW'] = isFilter ? true : false
}
setNodes(obj)
}
packages/ui/vite.config.js
+12 -19
View File
@@ -1,30 +1,23 @@
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
import { VitePWA } from 'vite-plugin-pwa'
import { resolve } from 'path'
import dotenv from 'dotenv'
dotenv.config()
export default defineConfig({
plugins: [react()],
resolve: {
alias: {
'@': resolve(__dirname, 'src')
}
},
plugins: [
react(),
VitePWA({
manifest: {
name: 'FlowiseAI - Build LLMs Apps Easily',
short_name: 'Flowise',
theme_color: '#00000000',
icons: [
{
src: '/public/favicon-32x32.png',
sizes: '512x512',
type: 'image/png',
purpose: 'any maskable'
}
]
}
})
]
root: resolve(__dirname),
build: {
outDir: './build'
},
server: {
open: true,
port: process.env.VITE_PORT ?? 8080
}
})