Merge pull request #152 from FlowiseAI/feature/RequestsTool

Feature/Update RequestsTools
This commit is contained in:
Henry Heng 2023-05-23 10:08:39 +01:00 committed by GitHub
commit 8d45412c38
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GPG Key ID: 4AEE18F83AFDEB23
9 changed files with 434 additions and 181 deletions

View File

@ -1,6 +1,6 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { RequestsGetTool } from 'langchain/tools'
import { desc, RequestParameters, RequestsGetTool } from './core'
class RequestsGet_Tools implements INode {
label: string
@ -22,9 +22,22 @@ class RequestsGet_Tools implements INode {
this.baseClasses = [this.type, ...getBaseClasses(RequestsGetTool)]
this.inputs = [
{
label: 'Max Output Length',
name: 'maxOutputLength',
type: 'number',
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
},
{
@ -39,18 +52,18 @@ class RequestsGet_Tools implements INode {
async init(nodeData: INodeData): Promise<any> {
const headers = nodeData.inputs?.headers as string
const maxOutputLength = nodeData.inputs?.maxOutputLength as string
const obj: any = {}
if (maxOutputLength) {
obj.maxOutputLength = parseInt(maxOutputLength, 10)
}
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)
return Object.keys(obj).length ? new RequestsGetTool(parsedHeaders, obj) : new RequestsGetTool(parsedHeaders)
obj.headers = parsedHeaders
}
return Object.keys(obj).length ? new RequestsGetTool(undefined, obj) : new RequestsGetTool()
return new RequestsGetTool(obj)
}
}

View File

@ -0,0 +1,46 @@
import fetch from 'node-fetch'
import { Tool } from 'langchain/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)
}
}

View File

@ -1,6 +1,6 @@
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { RequestsPostTool } from 'langchain/tools'
import { RequestParameters, desc, RequestsPostTool } from './core'
class RequestsPost_Tools implements INode {
label: string
@ -22,9 +22,31 @@ class RequestsPost_Tools implements INode {
this.baseClasses = [this.type, ...getBaseClasses(RequestsPostTool)]
this.inputs = [
{
label: 'Max Output Length',
name: 'maxOutputLength',
type: 'number',
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
},
{
@ -39,18 +61,23 @@ class RequestsPost_Tools implements INode {
async init(nodeData: INodeData): Promise<any> {
const headers = nodeData.inputs?.headers as string
const maxOutputLength = nodeData.inputs?.maxOutputLength as string
const obj: any = {}
if (maxOutputLength) {
obj.maxOutputLength = parseInt(maxOutputLength, 10)
}
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)
return Object.keys(obj).length ? new RequestsPostTool(parsedHeaders, obj) : new RequestsPostTool(parsedHeaders)
obj.headers = parsedHeaders
}
return Object.keys(obj).length ? new RequestsPostTool(undefined, obj) : new RequestsPostTool()
if (body) {
const parsedBody = typeof body === 'object' ? body : JSON.parse(body)
obj.body = parsedBody
}
return new RequestsPostTool(obj)
}
}

View File

@ -0,0 +1,72 @@
import { Tool } from 'langchain/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}`
}
}
}

View File

@ -33,13 +33,14 @@
"linkifyjs": "^4.1.1",
"mammoth": "^1.5.1",
"moment": "^2.29.3",
"node-fetch": "2",
"node-fetch": "^2.6.11",
"pdf-parse": "^1.1.1",
"weaviate-ts-client": "^1.1.0",
"ws": "^8.9.0"
},
"devDependencies": {
"@types/gulp": "4.0.9",
"@types/node-fetch": "2.6.2",
"@types/ws": "^8.5.3",
"gulp": "^4.0.2",
"typescript": "^4.8.4"

View File

@ -1,59 +1,21 @@
{
"description": "Use ChatGPT Plugins within LangChain abstractions with GET and POST Tools",
"nodes": [
{
"width": 300,
"height": 143,
"id": "requestsPost_1",
"position": {
"x": 568.1004839170901,
"y": 232.90925136881856
},
"type": "customNode",
"data": {
"id": "requestsPost_1",
"label": "Requests Post",
"name": "requestsPost",
"type": "RequestsPost",
"baseClasses": ["RequestsPost", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Execute HTTP POST requests",
"inputParams": [],
"inputAnchors": [],
"inputs": {},
"outputAnchors": [
{
"id": "requestsPost_1-output-requestsPost-RequestsPost|Tool|StructuredTool|BaseLangChain",
"name": "requestsPost",
"label": "RequestsPost",
"type": "RequestsPost | Tool | StructuredTool | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 568.1004839170901,
"y": 232.90925136881856
},
"dragging": false
},
{
"width": 300,
"height": 278,
"id": "aiPlugin_1",
"id": "aiPlugin_0",
"position": {
"x": 1112.7719277555257,
"y": 111.01026928924571
"x": 1086.2925487205378,
"y": 84.92168014974317
},
"type": "customNode",
"data": {
"id": "aiPlugin_1",
"id": "aiPlugin_0",
"label": "AI Plugin",
"name": "aiPlugin",
"type": "AIPlugin",
"baseClasses": ["AIPlugin", "Tool", "StructuredTool", "BaseLangChain"],
"baseClasses": ["AIPlugin", "Tool"],
"category": "Tools",
"description": "Execute actions using ChatGPT Plugin Url",
"inputParams": [
@ -61,8 +23,7 @@
"label": "Plugin Url",
"name": "pluginUrl",
"type": "string",
"placeholder": "https://www.klarna.com/.well-known/ai-plugin.json",
"id": "aiPlugin_1-input-pluginUrl-string"
"placeholder": "https://www.klarna.com/.well-known/ai-plugin.json"
}
],
"inputAnchors": [],
@ -71,45 +32,77 @@
},
"outputAnchors": [
{
"id": "aiPlugin_1-output-aiPlugin-AIPlugin|Tool|StructuredTool|BaseLangChain",
"id": "aiPlugin_0-output-aiPlugin-AIPlugin|Tool",
"name": "aiPlugin",
"label": "AIPlugin",
"type": "AIPlugin | Tool | StructuredTool | BaseLangChain"
"type": "AIPlugin | Tool"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1112.7719277555257,
"y": 111.01026928924571
"x": 1086.2925487205378,
"y": 84.92168014974317
},
"dragging": false
},
{
"width": 300,
"height": 143,
"id": "requestsGet_1",
"height": 251,
"id": "requestsGet_0",
"position": {
"x": 539.1692455622626,
"y": 432.7978072748991
"x": 761.713884489628,
"y": 170.84830553778124
},
"type": "customNode",
"data": {
"id": "requestsGet_1",
"id": "requestsGet_0",
"label": "Requests Get",
"name": "requestsGet",
"type": "RequestsGet",
"baseClasses": ["RequestsGet", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Execute HTTP GET requests",
"inputParams": [],
"inputParams": [
{
"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,
"id": "requestsGet_0-input-url-string"
},
{
"label": "Description",
"name": "description",
"type": "string",
"rows": 4,
"default": "A portal to the internet. Use this when you need to get specific content from a website. \nInput should be a url (i.e. https://www.google.com). The output will be the text response of the GET request.",
"description": "Acts like a prompt to tell agent when it should use this tool",
"additionalParams": true,
"optional": true,
"id": "requestsGet_0-input-description-string"
},
{
"label": "Headers",
"name": "headers",
"type": "json",
"additionalParams": true,
"optional": true,
"id": "requestsGet_0-input-headers-json"
}
],
"inputAnchors": [],
"inputs": {},
"inputs": {
"url": "",
"description": "A portal to the internet. Use this when you need to get specific content from a website. \nInput should be a url (i.e. https://www.google.com). The output will be the text response of the GET request.",
"headers": ""
},
"outputAnchors": [
{
"id": "requestsGet_1-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain",
"id": "requestsGet_0-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain",
"name": "requestsGet",
"label": "RequestsGet",
"type": "RequestsGet | Tool | StructuredTool | BaseLangChain"
@ -120,22 +113,158 @@
},
"selected": false,
"positionAbsolute": {
"x": 539.1692455622626,
"y": 432.7978072748991
"x": 761.713884489628,
"y": 170.84830553778124
},
"dragging": false
},
{
"width": 300,
"height": 251,
"id": "requestsPost_0",
"position": {
"x": 436.4125209312256,
"y": 306.87715502984184
},
"type": "customNode",
"data": {
"id": "requestsPost_0",
"label": "Requests Post",
"name": "requestsPost",
"type": "RequestsPost",
"baseClasses": ["RequestsPost", "Tool", "StructuredTool", "BaseLangChain"],
"category": "Tools",
"description": "Execute HTTP POST requests",
"inputParams": [
{
"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,
"id": "requestsPost_0-input-url-string"
},
{
"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,
"id": "requestsPost_0-input-body-json"
},
{
"label": "Description",
"name": "description",
"type": "string",
"rows": 4,
"default": "Use this when you want to POST to a website.\nInput should be a json string with two keys: \"url\" and \"data\".\nThe value of \"url\" should be a string, and the value of \"data\" should be a dictionary of \nkey-value pairs you want to POST to the url as a JSON body.\nBe careful to always use double quotes for strings in the json string\nThe output will be the text response of the POST request.",
"description": "Acts like a prompt to tell agent when it should use this tool",
"additionalParams": true,
"optional": true,
"id": "requestsPost_0-input-description-string"
},
{
"label": "Headers",
"name": "headers",
"type": "json",
"additionalParams": true,
"optional": true,
"id": "requestsPost_0-input-headers-json"
}
],
"inputAnchors": [],
"inputs": {
"url": "",
"body": "",
"description": "Use this when you want to POST to a website.\nInput should be a json string with two keys: \"url\" and \"data\".\nThe value of \"url\" should be a string, and the value of \"data\" should be a dictionary of \nkey-value pairs you want to POST to the url as a JSON body.\nBe careful to always use double quotes for strings in the json string\nThe output will be the text response of the POST request.",
"headers": ""
},
"outputAnchors": [
{
"id": "requestsPost_0-output-requestsPost-RequestsPost|Tool|StructuredTool|BaseLangChain",
"name": "requestsPost",
"label": "RequestsPost",
"type": "RequestsPost | Tool | StructuredTool | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 436.4125209312256,
"y": 306.87715502984184
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "mrklAgentChat_0",
"position": {
"x": 1416.2054860029416,
"y": 451.43299014109715
},
"type": "customNode",
"data": {
"id": "mrklAgentChat_0",
"label": "MRKL Agent for Chat Models",
"name": "mrklAgentChat",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
"description": "Agent that uses the ReAct Framework to decide what action to take, optimized to be used with Chat Models",
"inputParams": [],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "mrklAgentChat_0-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "mrklAgentChat_0-input-model-BaseLanguageModel"
}
],
"inputs": {
"tools": ["{{requestsGet_0.data.instance}}", "{{requestsPost_0.data.instance}}", "{{aiPlugin_0.data.instance}}"],
"model": "{{chatOpenAI_0.data.instance}}"
},
"outputAnchors": [
{
"id": "mrklAgentChat_0-output-mrklAgentChat-AgentExecutor|BaseChain|BaseLangChain",
"name": "mrklAgentChat",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"selected": false,
"positionAbsolute": {
"x": 1416.2054860029416,
"y": 451.43299014109715
},
"dragging": false
},
{
"width": 300,
"height": 524,
"id": "chatOpenAI_1",
"id": "chatOpenAI_0",
"position": {
"x": 800.6881372203391,
"y": 599.3478727476577
"x": 797.0574814814245,
"y": 578.7641992971934
},
"type": "customNode",
"data": {
"id": "chatOpenAI_1",
"id": "chatOpenAI_0",
"label": "ChatOpenAI",
"name": "chatOpenAI",
"type": "ChatOpenAI",
@ -147,7 +276,7 @@
"label": "OpenAI Api Key",
"name": "openAIApiKey",
"type": "password",
"id": "chatOpenAI_1-input-openAIApiKey-password"
"id": "chatOpenAI_0-input-openAIApiKey-password"
},
{
"label": "Model Name",
@ -177,7 +306,7 @@
],
"default": "gpt-3.5-turbo",
"optional": true,
"id": "chatOpenAI_1-input-modelName-options"
"id": "chatOpenAI_0-input-modelName-options"
},
{
"label": "Temperature",
@ -185,7 +314,7 @@
"type": "number",
"default": 0.9,
"optional": true,
"id": "chatOpenAI_1-input-temperature-number"
"id": "chatOpenAI_0-input-temperature-number"
},
{
"label": "Max Tokens",
@ -193,7 +322,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-maxTokens-number"
"id": "chatOpenAI_0-input-maxTokens-number"
},
{
"label": "Top Probability",
@ -201,7 +330,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-topP-number"
"id": "chatOpenAI_0-input-topP-number"
},
{
"label": "Frequency Penalty",
@ -209,7 +338,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-frequencyPenalty-number"
"id": "chatOpenAI_0-input-frequencyPenalty-number"
},
{
"label": "Presence Penalty",
@ -217,7 +346,7 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-presencePenalty-number"
"id": "chatOpenAI_0-input-presencePenalty-number"
},
{
"label": "Timeout",
@ -225,13 +354,13 @@
"type": "number",
"optional": true,
"additionalParams": true,
"id": "chatOpenAI_1-input-timeout-number"
"id": "chatOpenAI_0-input-timeout-number"
}
],
"inputAnchors": [],
"inputs": {
"modelName": "gpt-3.5-turbo",
"temperature": "0",
"temperature": 0.9,
"maxTokens": "",
"topP": "",
"frequencyPenalty": "",
@ -240,7 +369,7 @@
},
"outputAnchors": [
{
"id": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"id": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"name": "chatOpenAI",
"label": "ChatOpenAI",
"type": "ChatOpenAI | BaseChatModel | BaseLanguageModel | BaseLangChain"
@ -251,108 +380,53 @@
},
"selected": false,
"positionAbsolute": {
"x": 800.6881372203391,
"y": 599.3478727476577
"x": 797.0574814814245,
"y": 578.7641992971934
},
"dragging": false
},
{
"width": 300,
"height": 280,
"id": "mrklAgentChat_2",
"position": {
"x": 1503.5956978371041,
"y": 418.46259909490925
},
"type": "customNode",
"data": {
"id": "mrklAgentChat_2",
"label": "MRKL Agent for Chat Models",
"name": "mrklAgentChat",
"type": "AgentExecutor",
"baseClasses": ["AgentExecutor", "BaseChain", "BaseLangChain"],
"category": "Agents",
"description": "Agent that uses the ReAct Framework to decide what action to take, optimized to be used with Chat Models",
"inputParams": [],
"inputAnchors": [
{
"label": "Allowed Tools",
"name": "tools",
"type": "Tool",
"list": true,
"id": "mrklAgentChat_2-input-tools-Tool"
},
{
"label": "Language Model",
"name": "model",
"type": "BaseLanguageModel",
"id": "mrklAgentChat_2-input-model-BaseLanguageModel"
}
],
"inputs": {
"tools": ["{{requestsGet_1.data.instance}}", "{{requestsPost_1.data.instance}}", "{{aiPlugin_1.data.instance}}"],
"model": "{{chatOpenAI_1.data.instance}}"
},
"outputAnchors": [
{
"id": "mrklAgentChat_2-output-mrklAgentChat-AgentExecutor|BaseChain|BaseLangChain",
"name": "mrklAgentChat",
"label": "AgentExecutor",
"type": "AgentExecutor | BaseChain | BaseLangChain"
}
],
"outputs": {},
"selected": false
},
"positionAbsolute": {
"x": 1503.5956978371041,
"y": 418.46259909490925
},
"selected": false,
"dragging": false
}
],
"edges": [
{
"source": "aiPlugin_1",
"sourceHandle": "aiPlugin_1-output-aiPlugin-AIPlugin|Tool|StructuredTool|BaseLangChain",
"target": "mrklAgentChat_2",
"targetHandle": "mrklAgentChat_2-input-tools-Tool",
"source": "requestsGet_0",
"sourceHandle": "requestsGet_0-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain",
"target": "mrklAgentChat_0",
"targetHandle": "mrklAgentChat_0-input-tools-Tool",
"type": "buttonedge",
"id": "aiPlugin_1-aiPlugin_1-output-aiPlugin-AIPlugin|Tool|StructuredTool|BaseLangChain-mrklAgentChat_2-mrklAgentChat_2-input-tools-Tool",
"id": "requestsGet_0-requestsGet_0-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain-mrklAgentChat_0-mrklAgentChat_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "requestsPost_1",
"sourceHandle": "requestsPost_1-output-requestsPost-RequestsPost|Tool|StructuredTool|BaseLangChain",
"target": "mrklAgentChat_2",
"targetHandle": "mrklAgentChat_2-input-tools-Tool",
"source": "aiPlugin_0",
"sourceHandle": "aiPlugin_0-output-aiPlugin-AIPlugin|Tool",
"target": "mrklAgentChat_0",
"targetHandle": "mrklAgentChat_0-input-tools-Tool",
"type": "buttonedge",
"id": "requestsPost_1-requestsPost_1-output-requestsPost-RequestsPost|Tool|StructuredTool|BaseLangChain-mrklAgentChat_2-mrklAgentChat_2-input-tools-Tool",
"id": "aiPlugin_0-aiPlugin_0-output-aiPlugin-AIPlugin|Tool-mrklAgentChat_0-mrklAgentChat_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "requestsGet_1",
"sourceHandle": "requestsGet_1-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain",
"target": "mrklAgentChat_2",
"targetHandle": "mrklAgentChat_2-input-tools-Tool",
"source": "requestsPost_0",
"sourceHandle": "requestsPost_0-output-requestsPost-RequestsPost|Tool|StructuredTool|BaseLangChain",
"target": "mrklAgentChat_0",
"targetHandle": "mrklAgentChat_0-input-tools-Tool",
"type": "buttonedge",
"id": "requestsGet_1-requestsGet_1-output-requestsGet-RequestsGet|Tool|StructuredTool|BaseLangChain-mrklAgentChat_2-mrklAgentChat_2-input-tools-Tool",
"id": "requestsPost_0-requestsPost_0-output-requestsPost-RequestsPost|Tool|StructuredTool|BaseLangChain-mrklAgentChat_0-mrklAgentChat_0-input-tools-Tool",
"data": {
"label": ""
}
},
{
"source": "chatOpenAI_1",
"sourceHandle": "chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "mrklAgentChat_2",
"targetHandle": "mrklAgentChat_2-input-model-BaseLanguageModel",
"source": "chatOpenAI_0",
"sourceHandle": "chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain",
"target": "mrklAgentChat_0",
"targetHandle": "mrklAgentChat_0-input-model-BaseLanguageModel",
"type": "buttonedge",
"id": "chatOpenAI_1-chatOpenAI_1-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-mrklAgentChat_2-mrklAgentChat_2-input-model-BaseLanguageModel",
"id": "chatOpenAI_0-chatOpenAI_0-output-chatOpenAI-ChatOpenAI|BaseChatModel|BaseLanguageModel|BaseLangChain-mrklAgentChat_0-mrklAgentChat_0-input-model-BaseLanguageModel",
"data": {
"label": ""
}

View File

@ -4,18 +4,27 @@ import parser from 'html-react-parser'
import PropTypes from 'prop-types'
import { useSelector } from 'react-redux'
export const TooltipWithParser = ({ title }) => {
export const TooltipWithParser = ({ title, style }) => {
const customization = useSelector((state) => state.customization)
return (
<Tooltip title={parser(title)} placement='right'>
<IconButton sx={{ height: 25, width: 25 }}>
<Info style={{ background: 'transparent', color: customization.isDarkMode ? 'white' : 'inherit', height: 18, width: 18 }} />
<IconButton sx={{ height: 15, width: 15 }}>
<Info
style={{
...style,
background: 'transparent',
color: customization.isDarkMode ? 'white' : 'inherit',
height: 15,
width: 15
}}
/>
</IconButton>
</Tooltip>
)
}
TooltipWithParser.propTypes = {
title: PropTypes.node
title: PropTypes.node,
style: PropTypes.any
}

View File

@ -134,7 +134,16 @@ const CanvasNode = ({ data }) => {
<NodeInputHandler key={index} inputParam={inputParam} data={data} />
))}
{data.inputParams.find((param) => param.additionalParams) && (
<div style={{ textAlign: 'center' }}>
<div
style={{
textAlign: 'center',
marginTop:
data.inputParams.filter((param) => param.additionalParams).length ===
data.inputParams.length + data.inputAnchors.length
? 20
: 0
}}
>
<Button sx={{ borderRadius: 25, width: '90%', mb: 2 }} variant='outlined' onClick={onDialogClicked}>
Additional Parameters
</Button>

View File

@ -17,6 +17,7 @@ import { SwitchInput } from 'ui-component/switch/Switch'
import { flowContext } from 'store/context/ReactFlowContext'
import { isValidConnection, getAvailableNodesForVariable } from 'utils/genericHelper'
import { JsonEditorInput } from 'ui-component/json/JsonEditor'
import { TooltipWithParser } from 'ui-component/tooltip/TooltipWithParser'
const CustomWidthTooltip = styled(({ className, ...props }) => <Tooltip {...props} classes={{ popper: className }} />)({
[`& .${tooltipClasses.tooltip}`]: {
@ -123,6 +124,7 @@ const NodeInputHandler = ({ inputAnchor, inputParam, data, disabled = false, isA
<Typography>
{inputParam.label}
{!inputParam.optional && <span style={{ color: 'red' }}>&nbsp;*</span>}
{inputParam.description && <TooltipWithParser style={{ marginLeft: 10 }} title={inputParam.description} />}
</Typography>
<div style={{ flexGrow: 1 }}></div>
{inputParam.type === 'string' && inputParam.rows && (