Chore/LC v0.3 (#3517)

* bump langchain version to 0.3, upgrades on all chat models

* update all docs loader to have documents and text output options

* fix pnpm lock file

packages/components/nodes/llms/GooglePaLM/GooglePaLM.svg

@@ -1 +0,0 @@
-<svg width="32" height="32" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M15.991 28.555c1.064 0 1.926-.624 1.926-1.394V15.074h-3.852v12.087c0 .77.862 1.394 1.926 1.394Z" fill="#F9AB00" stroke="#F9AB00"/><path d="M23.01 16.825a6.301 6.301 0 0 0-6.606-1.467c-.322.117-.39.525-.148.767l7.294 7.294a.61.61 0 0 0 1.01-.238 6.3 6.3 0 0 0-1.55-6.356Z" fill="#5BB974" stroke="#5BB974"/><path d="M8.516 16.825a6.301 6.301 0 0 1 6.606-1.467c.322.117.39.525.148.767l-7.294 7.294a.61.61 0 0 1-1.01-.238 6.3 6.3 0 0 1 1.55-6.356Z" fill="#129EAF" stroke="#129EAF"/><path d="M22.433 10.781c-2.856 0-5.314 1.726-6.419 4.204-.139.312.102.647.443.647h11.62a.681.681 0 0 0 .613-.984c-1.17-2.296-3.532-3.867-6.258-3.867Z" fill="#AF5CF7" stroke="#AF5CF7"/><path d="M17.05 7.486c-2.02 2.02-2.538 4.977-1.567 7.51.122.32.53.386.77.145l8.218-8.217a.681.681 0 0 0-.262-1.13c-2.453-.795-5.233-.235-7.16 1.692Z" fill="#FF8BCB" stroke="#FF8BCB"/><path d="M14.476 7.486c2.02 2.02 2.538 4.977 1.566 7.51-.122.32-.529.386-.77.145L7.055 6.924a.681.681 0 0 1 .262-1.13C9.769 5 12.549 5.56 14.476 7.486Z" fill="#FA7B17" stroke="#FA7B17"/><path d="M9.093 10.781c2.856 0 5.314 1.726 6.418 4.204.14.312-.1.647-.442.647H3.449a.681.681 0 0 1-.613-.984c1.17-2.296 3.532-3.867 6.257-3.867Z" fill="#4285F4" stroke="#4285F4"/></svg>

packages/components/nodes/llms/GooglePaLM/GooglePaLM.ts

@@ -1,169 +0,0 @@
-import { GooglePaLM, GooglePaLMTextInput } from '@langchain/community/llms/googlepalm'
-import { BaseCache } from '@langchain/core/caches'
-import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
-import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
-import { getModels, MODEL_TYPE } from '../../../src/modelLoader'
-
-class GooglePaLM_LLMs implements INode {
-    label: string
-    name: string
-    version: number
-    type: string
-    icon: string
-    category: string
-    description: string
-    baseClasses: string[]
-    credential: INodeParams
-    inputs: INodeParams[]
-
-    constructor() {
-        this.label = 'GooglePaLM'
-        this.name = 'GooglePaLM'
-        this.version = 3.0
-        this.type = 'GooglePaLM'
-        this.icon = 'GooglePaLM.svg'
-        this.category = 'LLMs'
-        this.description = 'Wrapper around Google MakerSuite PaLM large language models'
-        this.baseClasses = [this.type, ...getBaseClasses(GooglePaLM)]
-        this.credential = {
-            label: 'Connect Credential',
-            name: 'credential',
-            type: 'credential',
-            credentialNames: ['googleMakerSuite']
-        }
-        this.inputs = [
-            {
-                label: 'Cache',
-                name: 'cache',
-                type: 'BaseCache',
-                optional: true
-            },
-            {
-                label: 'Model Name',
-                name: 'modelName',
-                type: 'asyncOptions',
-                loadMethod: 'listModels',
-                default: 'models/text-bison-001'
-            },
-            {
-                label: 'Temperature',
-                name: 'temperature',
-                type: 'number',
-                step: 0.1,
-                default: 0.7,
-                optional: true,
-                description:
-                    'Controls the randomness of the output.\n' +
-                    'Values can range from [0.0,1.0], inclusive. A value closer to 1.0 ' +
-                    'will produce responses that are more varied and creative, while ' +
-                    'a value closer to 0.0 will typically result in more straightforward ' +
-                    'responses from the model.'
-            },
-            {
-                label: 'Max Output Tokens',
-                name: 'maxOutputTokens',
-                type: 'number',
-                step: 1,
-                optional: true,
-                additionalParams: true,
-                description: 'Maximum number of tokens to generate in the completion.'
-            },
-            {
-                label: 'Top Probability',
-                name: 'topP',
-                type: 'number',
-                step: 0.1,
-                optional: true,
-                additionalParams: true,
-                description:
-                    'Top-p changes how the model selects tokens for output.\n' +
-                    'Tokens are selected from most probable to least until ' +
-                    'the sum of their probabilities equals the top-p value.\n' +
-                    'For example, if tokens A, B, and C have a probability of .3, .2, and .1 ' +
-                    'and the top-p value is .5, then the model will select either A or B ' +
-                    'as the next token (using temperature).'
-            },
-            {
-                label: 'Top-k',
-                name: 'topK',
-                type: 'number',
-                step: 1,
-                optional: true,
-                additionalParams: true,
-                description:
-                    'Top-k changes how the model selects tokens for output.\n' +
-                    'A top-k of 1 means the selected token is the most probable among ' +
-                    'all tokens in the model vocabulary (also called greedy decoding), ' +
-                    'while a top-k of 3 means that the next token is selected from ' +
-                    'among the 3 most probable tokens (using temperature).'
-            },
-            {
-                label: 'Stop Sequences',
-                name: 'stopSequencesObj',
-                type: 'json',
-                optional: true,
-                additionalParams: true
-                //default: { list:[] },
-                //description:
-                //  'The "list" field should contain a list of character strings (up to 5) that will stop output generation.\n' +
-                //  '  * If specified, the API will stop at the first appearance of a stop sequence.\n' +
-                //  'Note: The stop sequence will not be included as part of the response.'
-            }
-            /*
-            {
-                label: 'Safety Settings',
-                name: 'safetySettings',
-                type: 'json',
-                optional: true,
-                additionalParams: true
-            } 
-            */
-        ]
-    }
-
-    //@ts-ignore
-    loadMethods = {
-        async listModels(): Promise<INodeOptionsValue[]> {
-            return await getModels(MODEL_TYPE.LLM, 'GooglePaLM')
-        }
-    }
-
-    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
-        const modelName = nodeData.inputs?.modelName as string
-        const temperature = nodeData.inputs?.temperature as string
-        const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
-        const topP = nodeData.inputs?.topP as string
-        const topK = nodeData.inputs?.topK as string
-        const stopSequencesObj = nodeData.inputs?.stopSequencesObj
-        const cache = nodeData.inputs?.cache as BaseCache
-
-        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
-        const googleMakerSuiteKey = getCredentialParam('googleMakerSuiteKey', credentialData, nodeData)
-
-        const obj: Partial<GooglePaLMTextInput> = {
-            modelName: modelName,
-            temperature: parseFloat(temperature),
-            apiKey: googleMakerSuiteKey
-        }
-
-        if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
-        if (topP) obj.topP = parseFloat(topP)
-        if (topK) obj.topK = parseFloat(topK)
-        if (cache) obj.cache = cache
-
-        let parsedStopSequences: any | undefined = undefined
-        if (stopSequencesObj) {
-            try {
-                parsedStopSequences = typeof stopSequencesObj === 'object' ? stopSequencesObj : JSON.parse(stopSequencesObj)
-                obj.stopSequences = parsedStopSequences.list || []
-            } catch (exception) {
-                throw new Error("Invalid JSON in the GooglePaLM's stopSequences: " + exception)
-            }
-        }
-
-        const model = new GooglePaLM(obj)
-        return model
-    }
-}
-
-module.exports = { nodeClass: GooglePaLM_LLMs }

packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts

@@ -1,6 +1,5 @@
-import { GoogleAuthOptions } from 'google-auth-library'
 import { BaseCache } from '@langchain/core/caches'
-import { GoogleVertexAI, GoogleVertexAITextInput } from '@langchain/community/llms/googlevertexai'
+import { VertexAI, VertexAIInput } from '@langchain/google-vertexai'
 import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
 import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
 import { getModels, MODEL_TYPE } from '../../../src/modelLoader'
@@ -25,7 +24,7 @@ class GoogleVertexAI_LLMs implements INode {
         this.icon = 'GoogleVertex.svg'
         this.category = 'LLMs'
         this.description = 'Wrapper around GoogleVertexAI large language models'
-        this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAI)]
+        this.baseClasses = [this.type, ...getBaseClasses(VertexAI)]
         this.credential = {
             label: 'Connect Credential',
             name: 'credential',
@@ -89,7 +88,7 @@ class GoogleVertexAI_LLMs implements INode {
         const googleApplicationCredential = getCredentialParam('googleApplicationCredential', credentialData, nodeData)
         const projectID = getCredentialParam('projectID', credentialData, nodeData)
 
-        const authOptions: GoogleAuthOptions = {}
+        const authOptions: any = {}
         if (Object.keys(credentialData).length !== 0) {
             if (!googleApplicationCredentialFilePath && !googleApplicationCredential)
                 throw new Error('Please specify your Google Application Credential')
@@ -112,7 +111,7 @@ class GoogleVertexAI_LLMs implements INode {
         const topP = nodeData.inputs?.topP as string
         const cache = nodeData.inputs?.cache as BaseCache
 
-        const obj: Partial<GoogleVertexAITextInput> = {
+        const obj: Partial<VertexAIInput> = {
             temperature: parseFloat(temperature),
             model: modelName
         }
@@ -122,7 +121,7 @@ class GoogleVertexAI_LLMs implements INode {
         if (topP) obj.topP = parseFloat(topP)
         if (cache) obj.cache = cache
 
-        const model = new GoogleVertexAI(obj)
+        const model = new VertexAI(obj)
         return model
     }
 }