mirror of
https://github.com/farcasclaudiu/Flowise.git
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Feature/lang graph (#2319)
* add langgraph * datasource: initial commit * datasource: datasource details and chunks * datasource: Document Store Node * more changes * Document Store - Base functionality * Document Store Loader Component * Document Store Loader Component * before merging the modularity PR * after merging the modularity PR * preview mode * initial draft PR * fixes * minor updates and fixes * preview with loader and splitter * preview with credential * show stored chunks * preview update... * edit config * save, preview and other changes * save, preview and other changes * save, process and other changes * save, process and other changes * alpha1 - for internal testing * rerouting urls * bug fix on new leader create * pagination support for chunks * delete document store * Update pnpm-lock.yaml * doc store card view * Update store files to use updated storage functions, Document Store Table View and other changes * ui changes * add expanded chunk dialog, improve ui * change throw Error to InternalError * Bug Fixes and removal of subFolder, adding of view chunks for store * lint fixes * merge changes * DocumentStoreStatus component * ui changes for doc store * add remove metadata key field, add custom document loader * add chatflows used doc store chips * add types/interfaces to DocumentStore Services * document loader list dialog title bar color change * update interfaces * Whereused Chatflow Name and Added chunkNo to retain order of created chunks. * use typeorm order chunkNo, ui changes * update tabler icons react * cleanup agents * add pysandbox tool * add abort functionality, loading next agent * add empty view svg * update chatflow tool with chatId * rename to agentflows * update worker for prompt input values * update dashboard to agentflows, agentcanvas * fix marketplace use template * add agentflow templates * resolve merge conflict * update baseURL --------- Co-authored-by: vinodkiran <vinodkiran@usa.net> Co-authored-by: Vinod Paidimarry <vinodkiran@outlook.in>
This commit is contained in:
Henry Heng
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import { DataSource } from 'typeorm'
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import { z } from 'zod'
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import fetch from 'node-fetch'
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import { RunnableConfig } from '@langchain/core/runnables'
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import { CallbackManagerForToolRun, Callbacks, CallbackManager, parseCallbackConfigArg } from '@langchain/core/callbacks/manager'
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import { StructuredTool } from '@langchain/core/tools'
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import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
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import { getCredentialData, getCredentialParam } from '../../../src/utils'
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class ChatflowTool_Tools implements INode {
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label: string
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name: string
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version: number
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description: string
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type: string
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icon: string
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category: string
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baseClasses: string[]
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credential: INodeParams
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inputs: INodeParams[]
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constructor() {
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this.label = 'Chatflow Tool'
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this.name = 'ChatflowTool'
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this.version = 1.0
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this.type = 'ChatflowTool'
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this.icon = 'chatflowTool.svg'
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this.category = 'Tools'
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this.description = 'Use as a tool to execute another chatflow'
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this.baseClasses = [this.type, 'Tool']
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['chatflowApi'],
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optional: true
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}
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this.inputs = [
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{
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label: 'Select Chatflow',
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name: 'selectedChatflow',
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type: 'asyncOptions',
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loadMethod: 'listChatflows'
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},
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{
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label: 'Tool Name',
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name: 'name',
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type: 'string'
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},
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{
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label: 'Tool Description',
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name: 'description',
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type: 'string',
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description: 'Description of what the tool does. This is for LLM to determine when to use this tool.',
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rows: 3,
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placeholder:
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'State of the Union QA - useful for when you need to ask questions about the most recent state of the union address.'
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},
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{
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label: 'Use Question from Chat',
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name: 'useQuestionFromChat',
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type: 'boolean',
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description:
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'Whether to use the question from the chat as input to the chatflow. If turned on, this will override the custom input.',
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optional: true,
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additionalParams: true
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},
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{
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label: 'Custom Input',
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name: 'customInput',
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type: 'string',
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description: 'Custom input to be passed to the chatflow. Leave empty to let LLM decides the input.',
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optional: true,
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additionalParams: true
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}
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]
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}
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//@ts-ignore
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loadMethods = {
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async listChatflows(_: INodeData, options: ICommonObject): Promise<INodeOptionsValue[]> {
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const returnData: INodeOptionsValue[] = []
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const appDataSource = options.appDataSource as DataSource
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const databaseEntities = options.databaseEntities as IDatabaseEntity
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if (appDataSource === undefined || !appDataSource) {
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return returnData
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}
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const chatflows = await appDataSource.getRepository(databaseEntities['ChatFlow']).find()
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for (let i = 0; i < chatflows.length; i += 1) {
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const data = {
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label: chatflows[i].name,
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name: chatflows[i].id
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} as INodeOptionsValue
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returnData.push(data)
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}
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return returnData
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}
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}
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async init(nodeData: INodeData, input: string, options: ICommonObject): Promise<any> {
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const selectedChatflowId = nodeData.inputs?.selectedChatflow as string
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const _name = nodeData.inputs?.name as string
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const description = nodeData.inputs?.description as string
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const useQuestionFromChat = nodeData.inputs?.useQuestionFromChat as boolean
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const customInput = nodeData.inputs?.customInput as string
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const baseURL = options.baseURL as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const chatflowApiKey = getCredentialParam('chatflowApiKey', credentialData, nodeData)
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let headers = {}
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if (chatflowApiKey) headers = { Authorization: `Bearer ${chatflowApiKey}` }
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let toolInput = ''
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if (useQuestionFromChat) {
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toolInput = input
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} else if (!customInput) {
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toolInput = customInput
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}
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let name = _name || 'chatflow_tool'
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return new ChatflowTool({ name, baseURL, description, chatflowid: selectedChatflowId, headers, input: toolInput })
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}
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}
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class ChatflowTool extends StructuredTool {
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static lc_name() {
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return 'ChatflowTool'
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}
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name = 'chatflow_tool'
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description = 'Execute another chatflow'
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input = ''
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chatflowid = ''
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baseURL = 'http://localhost:3000'
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headers = {}
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schema = z.object({
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input: z.string().describe('input question')
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})
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constructor({
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name,
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description,
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input,
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chatflowid,
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baseURL,
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headers
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}: {
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name: string
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description: string
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input: string
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chatflowid: string
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baseURL: string
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headers: ICommonObject
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}) {
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super()
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this.name = name
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this.description = description
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this.input = input
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this.baseURL = baseURL
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this.headers = headers
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this.chatflowid = chatflowid
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}
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async call(
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arg: z.infer<typeof this.schema>,
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configArg?: RunnableConfig | Callbacks,
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tags?: string[],
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flowConfig?: { sessionId?: string; chatId?: string; input?: string }
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): Promise<string> {
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const config = parseCallbackConfigArg(configArg)
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if (config.runName === undefined) {
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config.runName = this.name
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}
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let parsed
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try {
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parsed = await this.schema.parseAsync(arg)
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} catch (e) {
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throw new Error(`Received tool input did not match expected schema: ${JSON.stringify(arg)}`)
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}
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const callbackManager_ = await CallbackManager.configure(
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config.callbacks,
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this.callbacks,
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config.tags || tags,
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this.tags,
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config.metadata,
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this.metadata,
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{ verbose: this.verbose }
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)
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const runManager = await callbackManager_?.handleToolStart(
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this.toJSON(),
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typeof parsed === 'string' ? parsed : JSON.stringify(parsed),
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undefined,
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undefined,
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undefined,
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undefined,
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config.runName
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)
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let result
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try {
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result = await this._call(parsed, runManager, flowConfig)
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} catch (e) {
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await runManager?.handleToolError(e)
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throw e
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}
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await runManager?.handleToolEnd(result)
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return result
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}
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// @ts-ignore
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protected async _call(
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arg: z.infer<typeof this.schema>,
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_?: CallbackManagerForToolRun,
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flowConfig?: { sessionId?: string; chatId?: string; input?: string }
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): Promise<string> {
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const inputQuestion = this.input || arg.input
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const url = `${this.baseURL}/api/v1/prediction/${this.chatflowid}`
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const body = {
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question: inputQuestion,
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chatId: flowConfig?.chatId,
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overrideConfig: {
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sessionId: flowConfig?.sessionId
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}
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}
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const options = {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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...this.headers
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},
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body: JSON.stringify(body)
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}
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try {
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const response = await fetch(url, options)
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const resp = await response.json()
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return resp.text || ''
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} catch (error) {
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console.error(error)
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return ''
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}
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}
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}
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module.exports = { nodeClass: ChatflowTool_Tools }
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