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
2024-05-21 16:36:42 +01:00
committed by GitHub
parent 95f1090bed
commit 8ebc4dcfd5
92 changed files with 7216 additions and 701 deletions
@@ -0,0 +1,259 @@
import { DataSource } from 'typeorm'
import { z } from 'zod'
import fetch from 'node-fetch'
import { RunnableConfig } from '@langchain/core/runnables'
import { CallbackManagerForToolRun, Callbacks, CallbackManager, parseCallbackConfigArg } from '@langchain/core/callbacks/manager'
import { StructuredTool } from '@langchain/core/tools'
import { ICommonObject, IDatabaseEntity, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
import { getCredentialData, getCredentialParam } from '../../../src/utils'
class ChatflowTool_Tools implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'Chatflow Tool'
this.name = 'ChatflowTool'
this.version = 1.0
this.type = 'ChatflowTool'
this.icon = 'chatflowTool.svg'
this.category = 'Tools'
this.description = 'Use as a tool to execute another chatflow'
this.baseClasses = [this.type, 'Tool']
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['chatflowApi'],
optional: true
}
this.inputs = [
{
label: 'Select Chatflow',
name: 'selectedChatflow',
type: 'asyncOptions',
loadMethod: 'listChatflows'
},
{
label: 'Tool Name',
name: 'name',
type: 'string'
},
{
label: 'Tool Description',
name: 'description',
type: 'string',
description: 'Description of what the tool does. This is for LLM to determine when to use this tool.',
rows: 3,
placeholder:
'State of the Union QA - useful for when you need to ask questions about the most recent state of the union address.'
},
{
label: 'Use Question from Chat',
name: 'useQuestionFromChat',
type: 'boolean',
description:
'Whether to use the question from the chat as input to the chatflow. If turned on, this will override the custom input.',
optional: true,
additionalParams: true
},
{
label: 'Custom Input',
name: 'customInput',
type: 'string',
description: 'Custom input to be passed to the chatflow. Leave empty to let LLM decides the input.',
optional: true,
additionalParams: true
}
]
}
//@ts-ignore
loadMethods = {
async listChatflows(_: INodeData, options: ICommonObject): Promise<INodeOptionsValue[]> {
const returnData: INodeOptionsValue[] = []
const appDataSource = options.appDataSource as DataSource
const databaseEntities = options.databaseEntities as IDatabaseEntity
if (appDataSource === undefined || !appDataSource) {
return returnData
}
const chatflows = await appDataSource.getRepository(databaseEntities['ChatFlow']).find()
for (let i = 0; i < chatflows.length; i += 1) {
const data = {
label: chatflows[i].name,
name: chatflows[i].id
} as INodeOptionsValue
returnData.push(data)
}
return returnData
}
}
async init(nodeData: INodeData, input: string, options: ICommonObject): Promise<any> {
const selectedChatflowId = nodeData.inputs?.selectedChatflow as string
const _name = nodeData.inputs?.name as string
const description = nodeData.inputs?.description as string
const useQuestionFromChat = nodeData.inputs?.useQuestionFromChat as boolean
const customInput = nodeData.inputs?.customInput as string
const baseURL = options.baseURL as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const chatflowApiKey = getCredentialParam('chatflowApiKey', credentialData, nodeData)
let headers = {}
if (chatflowApiKey) headers = { Authorization: `Bearer ${chatflowApiKey}` }
let toolInput = ''
if (useQuestionFromChat) {
toolInput = input
} else if (!customInput) {
toolInput = customInput
}
let name = _name || 'chatflow_tool'
return new ChatflowTool({ name, baseURL, description, chatflowid: selectedChatflowId, headers, input: toolInput })
}
}
class ChatflowTool extends StructuredTool {
static lc_name() {
return 'ChatflowTool'
}
name = 'chatflow_tool'
description = 'Execute another chatflow'
input = ''
chatflowid = ''
baseURL = 'http://localhost:3000'
headers = {}
schema = z.object({
input: z.string().describe('input question')
})
constructor({
name,
description,
input,
chatflowid,
baseURL,
headers
}: {
name: string
description: string
input: string
chatflowid: string
baseURL: string
headers: ICommonObject
}) {
super()
this.name = name
this.description = description
this.input = input
this.baseURL = baseURL
this.headers = headers
this.chatflowid = chatflowid
}
async call(
arg: z.infer<typeof this.schema>,
configArg?: RunnableConfig | Callbacks,
tags?: string[],
flowConfig?: { sessionId?: string; chatId?: string; input?: string }
): Promise<string> {
const config = parseCallbackConfigArg(configArg)
if (config.runName === undefined) {
config.runName = this.name
}
let parsed
try {
parsed = await this.schema.parseAsync(arg)
} catch (e) {
throw new Error(`Received tool input did not match expected schema: ${JSON.stringify(arg)}`)
}
const callbackManager_ = await CallbackManager.configure(
config.callbacks,
this.callbacks,
config.tags || tags,
this.tags,
config.metadata,
this.metadata,
{ verbose: this.verbose }
)
const runManager = await callbackManager_?.handleToolStart(
this.toJSON(),
typeof parsed === 'string' ? parsed : JSON.stringify(parsed),
undefined,
undefined,
undefined,
undefined,
config.runName
)
let result
try {
result = await this._call(parsed, runManager, flowConfig)
} catch (e) {
await runManager?.handleToolError(e)
throw e
}
await runManager?.handleToolEnd(result)
return result
}
// @ts-ignore
protected async _call(
arg: z.infer<typeof this.schema>,
_?: CallbackManagerForToolRun,
flowConfig?: { sessionId?: string; chatId?: string; input?: string }
): Promise<string> {
const inputQuestion = this.input || arg.input
const url = `${this.baseURL}/api/v1/prediction/${this.chatflowid}`
const body = {
question: inputQuestion,
chatId: flowConfig?.chatId,
overrideConfig: {
sessionId: flowConfig?.sessionId
}
}
const options = {
method: 'POST',
headers: {
'Content-Type': 'application/json',
...this.headers
},
body: JSON.stringify(body)
}
try {
const response = await fetch(url, options)
const resp = await response.json()
return resp.text || ''
} catch (error) {
console.error(error)
return ''
}
}
}
module.exports = { nodeClass: ChatflowTool_Tools }
@@ -0,0 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-hierarchy"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M12 5m-2 0a2 2 0 1 0 4 0a2 2 0 1 0 -4 0" /><path d="M5 19m-2 0a2 2 0 1 0 4 0a2 2 0 1 0 -4 0" /><path d="M19 19m-2 0a2 2 0 1 0 4 0a2 2 0 1 0 -4 0" /><path d="M6.5 17.5l5.5 -4.5l5.5 4.5" /><path d="M12 7l0 6" /></svg>

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+152
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/*
* TODO: Implement codeInterpreter column to chat_message table
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { StructuredTool, ToolParams } from '@langchain/core/tools'
import { CodeInterpreter } from '@e2b/code-interpreter'
import { z } from 'zod'
const DESC = `Evaluates python code in a sandbox environment. \
The environment is long running and exists across multiple executions. \
You must send the whole script every time and print your outputs. \
Script should be pure python code that can be evaluated. \
It should be in python format NOT markdown. \
The code should NOT be wrapped in backticks. \
All python packages including requests, matplotlib, scipy, numpy, pandas, \
etc are available. Create and display chart using "plt.show()".`
const NAME = 'code_interpreter'
class E2B_Tools implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
badge: string
credential: INodeParams
constructor() {
this.label = 'E2B'
this.name = 'e2b'
this.version = 1.0
this.type = 'E2B'
this.icon = 'e2b.png'
this.category = 'Tools'
this.badge = 'NEW'
this.description = 'Execute code in E2B Code Intepreter'
this.baseClasses = [this.type, 'Tool', ...getBaseClasses(E2BTool)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['E2BApi']
}
this.inputs = [
{
label: 'Tool Name',
name: 'toolName',
type: 'string',
description: 'Specify the name of the tool',
default: 'code_interpreter'
},
{
label: 'Tool Description',
name: 'toolDesc',
type: 'string',
rows: 4,
description: 'Specify the description of the tool',
default: DESC
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const toolDesc = nodeData.inputs?.toolDesc as string
const toolName = nodeData.inputs?.toolName as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const e2bApiKey = getCredentialParam('e2bApiKey', credentialData, nodeData)
const socketIO = options.socketIO
const socketIOClientId = options.socketIOClientId
return await E2BTool.initialize({
description: toolDesc ?? DESC,
name: toolName ?? NAME,
apiKey: e2bApiKey,
schema: z.object({
input: z.string().describe('Python code to be executed in the sandbox environment')
}),
socketIO,
socketIOClientId
})
}
}
type E2BToolParams = ToolParams & { instance: CodeInterpreter }
export class E2BTool extends StructuredTool {
static lc_name() {
return 'E2BTool'
}
name = NAME
description = DESC
instance: CodeInterpreter
apiKey: string
schema
socketIO
socketIOClientId = ''
constructor(options: E2BToolParams & { name: string; description: string, apiKey: string, schema: any, socketIO: any, socketIOClientId: string}) {
super(options)
this.instance = options.instance
this.description = options.description
this.name = options.name
this.apiKey = options.apiKey
this.schema = options.schema
this.returnDirect = true
this.socketIO = options.socketIO
this.socketIOClientId = options.socketIOClientId
}
static async initialize(options: Partial<E2BToolParams> & { name: string; description: string, apiKey: string, schema: any, socketIO: any, socketIOClientId: string }) {
const instance = await CodeInterpreter.create({ apiKey: options.apiKey })
return new this({ instance, name: options.name, description: options.description, apiKey: options.apiKey, schema: options.schema, socketIO: options.socketIO, socketIOClientId: options.socketIOClientId})
}
async _call(args: any) {
try {
if ('input' in args) {
const execution = await this.instance.notebook.execCell(args?.input)
let imgHTML = ''
for (const result of execution.results) {
if (result.png) {
imgHTML += `\n\n<img src="data:image/png;base64,${result.png}" width="100%" height="max-content" alt="image" /><br/>`
}
if (result.jpeg) {
imgHTML += `\n\n<img src="data:image/jpeg;base64,${result.jpeg}" width="100%" height="max-content" alt="image" /><br/>`
}
}
const output = execution.text ? execution.text + imgHTML : imgHTML
if (this.socketIO && this.socketIOClientId) this.socketIO.to(this.socketIOClientId).emit('token', output)
return output
} else {
return 'No input provided'
}
} catch (e) {
return typeof e === 'string' ? e : JSON.stringify(e, null, 2)
}
}
}
module.exports = { nodeClass: E2B_Tools }
*/
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { loadPyodide, type PyodideInterface } from 'pyodide'
import { Tool, ToolParams } from '@langchain/core/tools'
import * as path from 'path'
import { getUserHome } from '../../../src/utils'
let pyodideInstance: PyodideInterface | undefined
const DESC = `Evaluates python code in a sandbox environment. The environment resets on every execution. You must send the whole script every time and print your outputs. Script should be pure python code that can be evaluated. Use only packages available in Pyodide.`
const NAME = 'python_interpreter'
async function LoadPyodide(): Promise<PyodideInterface> {
if (pyodideInstance === undefined) {
const obj = { packageCacheDir: path.join(getUserHome(), '.flowise', 'pyodideCacheDir') }
pyodideInstance = await loadPyodide(obj)
}
return pyodideInstance
}
class PythonInterpreter_Tools implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
badge: string
constructor() {
this.label = 'Python Interpreter'
this.name = 'pythonInterpreter'
this.version = 1.0
this.type = 'PythonInterpreter'
this.icon = 'python.svg'
this.category = 'Tools'
this.badge = 'NEW'
this.description = 'Execute python code in Pyodide sandbox environment'
this.baseClasses = [this.type, 'Tool', ...getBaseClasses(PythonInterpreterTool)]
this.inputs = [
{
label: 'Tool Name',
name: 'toolName',
type: 'string',
description: 'Specify the name of the tool',
default: 'python_interpreter'
},
{
label: 'Tool Description',
name: 'toolDesc',
type: 'string',
rows: 4,
description: 'Specify the description of the tool',
default: DESC
}
]
}
async init(nodeData: INodeData): Promise<any> {
const toolDesc = nodeData.inputs?.toolDesc as string
const toolName = nodeData.inputs?.toolName as string
return await PythonInterpreterTool.initialize({
description: toolDesc ?? DESC,
name: toolName ?? NAME
})
}
}
type PythonInterpreterToolParams = Parameters<typeof loadPyodide>[0] &
ToolParams & {
instance: PyodideInterface
}
export class PythonInterpreterTool extends Tool {
static lc_name() {
return 'PythonInterpreterTool'
}
name = NAME
description = DESC
pyodideInstance: PyodideInterface
stdout = ''
stderr = ''
constructor(options: PythonInterpreterToolParams & { name: string; description: string }) {
super(options)
this.description = options.description
this.name = options.name
this.pyodideInstance = options.instance
this.pyodideInstance.setStderr({
batched: (text: string) => {
this.stderr += text
}
})
this.pyodideInstance.setStdout({
batched: (text: string) => {
this.stdout += text
}
})
}
static async initialize(options: Partial<PythonInterpreterToolParams> & { name: string; description: string }) {
const instance = await LoadPyodide()
return new this({ instance, name: options.name, description: options.description })
}
async _call(script: string) {
this.stdout = ''
this.stderr = ''
try {
await this.pyodideInstance.loadPackagesFromImports(script)
await this.pyodideInstance.runPythonAsync(script)
return JSON.stringify({ stdout: this.stdout, stderr: this.stderr }, null, 2)
} catch (e) {
return typeof e === 'string' ? e : JSON.stringify(e, null, 2)
}
}
}
module.exports = { nodeClass: PythonInterpreter_Tools }
@@ -0,0 +1 @@
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@@ -1,72 +0,0 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { desc, RequestParameters, RequestsGetTool } from './core'
class RequestsGet_Tools implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Requests Get'
this.name = 'requestsGet'
this.version = 1.0
this.type = 'RequestsGet'
this.icon = 'requestsget.svg'
this.category = 'Tools'
this.description = 'Execute HTTP GET requests'
this.baseClasses = [this.type, ...getBaseClasses(RequestsGetTool)]
this.inputs = [
{
label: 'URL',
name: 'url',
type: 'string',
description:
'Agent will make call to this exact URL. If not specified, agent will try to figure out itself from AIPlugin if provided',
additionalParams: true,
optional: true
},
{
label: 'Description',
name: 'description',
type: 'string',
rows: 4,
default: desc,
description: 'Acts like a prompt to tell agent when it should use this tool',
additionalParams: true,
optional: true
},
{
label: 'Headers',
name: 'headers',
type: 'json',
additionalParams: true,
optional: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const headers = nodeData.inputs?.headers as string
const url = nodeData.inputs?.url as string
const description = nodeData.inputs?.description as string
const obj: RequestParameters = {}
if (url) obj.url = url
if (description) obj.description = description
if (headers) {
const parsedHeaders = typeof headers === 'object' ? headers : JSON.parse(headers)
obj.headers = parsedHeaders
}
return new RequestsGetTool(obj)
}
}
module.exports = { nodeClass: RequestsGet_Tools }
@@ -1,46 +0,0 @@
import fetch from 'node-fetch'
import { Tool } from '@langchain/core/tools'
export const desc = `A portal to the internet. Use this when you need to get specific content from a website.
Input should be a url (i.e. https://www.google.com). The output will be the text response of the GET request.`
export interface Headers {
[key: string]: string
}
export interface RequestParameters {
headers?: Headers
url?: string
description?: string
maxOutputLength?: number
}
export class RequestsGetTool extends Tool {
name = 'requests_get'
url = ''
description = desc
maxOutputLength = 2000
headers = {}
constructor(args?: RequestParameters) {
super()
this.url = args?.url ?? this.url
this.headers = args?.headers ?? this.headers
this.description = args?.description ?? this.description
this.maxOutputLength = args?.maxOutputLength ?? this.maxOutputLength
}
/** @ignore */
async _call(input: string) {
const inputUrl = !this.url ? input : this.url
if (process.env.DEBUG === 'true') console.info(`Making GET API call to ${inputUrl}`)
const res = await fetch(inputUrl, {
headers: this.headers
})
const text = await res.text()
return text.slice(0, this.maxOutputLength)
}
}
@@ -1,6 +0,0 @@
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<path d="M18.5 20H14V27H18.5M14 23.5H17.5" stroke="black" stroke-width="1.8" stroke-linecap="round" stroke-linejoin="round"/>
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</svg>

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@@ -1,86 +0,0 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { RequestParameters, desc, RequestsPostTool } from './core'
class RequestsPost_Tools implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Requests Post'
this.name = 'requestsPost'
this.version = 1.0
this.type = 'RequestsPost'
this.icon = 'requestspost.svg'
this.category = 'Tools'
this.description = 'Execute HTTP POST requests'
this.baseClasses = [this.type, ...getBaseClasses(RequestsPostTool)]
this.inputs = [
{
label: 'URL',
name: 'url',
type: 'string',
description:
'Agent will make call to this exact URL. If not specified, agent will try to figure out itself from AIPlugin if provided',
additionalParams: true,
optional: true
},
{
label: 'Body',
name: 'body',
type: 'json',
description:
'JSON body for the POST request. If not specified, agent will try to figure out itself from AIPlugin if provided',
additionalParams: true,
optional: true
},
{
label: 'Description',
name: 'description',
type: 'string',
rows: 4,
default: desc,
description: 'Acts like a prompt to tell agent when it should use this tool',
additionalParams: true,
optional: true
},
{
label: 'Headers',
name: 'headers',
type: 'json',
additionalParams: true,
optional: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const headers = nodeData.inputs?.headers as string
const url = nodeData.inputs?.url as string
const description = nodeData.inputs?.description as string
const body = nodeData.inputs?.body as string
const obj: RequestParameters = {}
if (url) obj.url = url
if (description) obj.description = description
if (headers) {
const parsedHeaders = typeof headers === 'object' ? headers : JSON.parse(headers)
obj.headers = parsedHeaders
}
if (body) {
const parsedBody = typeof body === 'object' ? body : JSON.parse(body)
obj.body = parsedBody
}
return new RequestsPostTool(obj)
}
}
module.exports = { nodeClass: RequestsPost_Tools }
@@ -1,72 +0,0 @@
import { Tool } from '@langchain/core/tools'
import fetch from 'node-fetch'
export const desc = `Use this when you want to POST to a website.
Input should be a json string with two keys: "url" and "data".
The value of "url" should be a string, and the value of "data" should be a dictionary of
key-value pairs you want to POST to the url as a JSON body.
Be careful to always use double quotes for strings in the json string
The output will be the text response of the POST request.`
export interface Headers {
[key: string]: string
}
export interface Body {
[key: string]: any
}
export interface RequestParameters {
headers?: Headers
body?: Body
url?: string
description?: string
maxOutputLength?: number
}
export class RequestsPostTool extends Tool {
name = 'requests_post'
url = ''
description = desc
maxOutputLength = Infinity
headers = {}
body = {}
constructor(args?: RequestParameters) {
super()
this.url = args?.url ?? this.url
this.headers = args?.headers ?? this.headers
this.body = args?.body ?? this.body
this.description = args?.description ?? this.description
this.maxOutputLength = args?.maxOutputLength ?? this.maxOutputLength
}
/** @ignore */
async _call(input: string) {
try {
let inputUrl = ''
let inputBody = {}
if (Object.keys(this.body).length || this.url) {
if (this.url) inputUrl = this.url
if (Object.keys(this.body).length) inputBody = this.body
} else {
const { url, data } = JSON.parse(input)
inputUrl = url
inputBody = data
}
if (process.env.DEBUG === 'true') console.info(`Making POST API call to ${inputUrl} with body ${JSON.stringify(inputBody)}`)
const res = await fetch(inputUrl, {
method: 'POST',
headers: this.headers,
body: JSON.stringify(inputBody)
})
const text = await res.text()
return text.slice(0, this.maxOutputLength)
} catch (error) {
return `${error}`
}
}
}
@@ -1,7 +0,0 @@
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