Merge pull request #1523 from FlowiseAI/feature/GoogleGemini
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2c5e8d01ae
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@ -1,7 +1,9 @@
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { convertMultiOptionsToStringArray, getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { BaseCache } from 'langchain/schema'
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import { BaseCache } from 'langchain/schema'
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import { ChatGoogleGenerativeAI } from '@langchain/google-genai'
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import { ChatGoogleGenerativeAI, GoogleGenerativeAIChatInput } from '@langchain/google-genai'
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import { HarmBlockThreshold, HarmCategory } from '@google/generative-ai'
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import type { SafetySetting } from '@google/generative-ai'
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class GoogleGenerativeAI_ChatModels implements INode {
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class GoogleGenerativeAI_ChatModels implements INode {
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label: string
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label: string
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@ -74,6 +76,73 @@ class GoogleGenerativeAI_ChatModels implements INode {
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step: 0.1,
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step: 0.1,
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optional: true,
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optional: true,
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additionalParams: true
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additionalParams: true
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},
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{
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label: 'Top Next Highest Probability Tokens',
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name: 'topK',
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type: 'number',
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description: `Decode using top-k sampling: consider the set of top_k most probable tokens. Must be positive`,
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step: 1,
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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: 'Harm Category',
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name: 'harmCategory',
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type: 'multiOptions',
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description:
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'Refer to <a target="_blank" href="https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#safety_attribute_definitions">official guide</a> on how to use Harm Category',
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options: [
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{
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label: 'Dangerous',
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name: HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT
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},
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{
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label: 'Harassment',
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name: HarmCategory.HARM_CATEGORY_HARASSMENT
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},
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{
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label: 'Hate Speech',
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name: HarmCategory.HARM_CATEGORY_HATE_SPEECH
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},
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{
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label: 'Sexually Explicit',
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name: HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT
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}
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],
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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: 'Harm Block Threshold',
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name: 'harmBlockThreshold',
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type: 'multiOptions',
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description:
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'Refer to <a target="_blank" href="https://cloud.google.com/vertex-ai/docs/generative-ai/multimodal/configure-safety-attributes#safety_setting_thresholds">official guide</a> on how to use Harm Block Threshold',
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options: [
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{
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label: 'Low and Above',
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name: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE
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},
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{
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label: 'Medium and Above',
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name: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
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},
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{
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label: 'None',
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name: HarmBlockThreshold.BLOCK_NONE
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},
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{
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label: 'Only High',
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name: HarmBlockThreshold.BLOCK_ONLY_HIGH
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},
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{
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label: 'Threshold Unspecified',
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name: HarmBlockThreshold.HARM_BLOCK_THRESHOLD_UNSPECIFIED
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}
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],
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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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]
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}
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}
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@ -86,9 +155,12 @@ class GoogleGenerativeAI_ChatModels implements INode {
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const modelName = nodeData.inputs?.modelName as string
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const modelName = nodeData.inputs?.modelName as string
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const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
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const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
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const topP = nodeData.inputs?.topP as string
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const topP = nodeData.inputs?.topP as string
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const topK = nodeData.inputs?.topK as string
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const harmCategory = nodeData.inputs?.harmCategory as string
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const harmBlockThreshold = nodeData.inputs?.harmBlockThreshold as string
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const cache = nodeData.inputs?.cache as BaseCache
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const cache = nodeData.inputs?.cache as BaseCache
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const obj = {
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const obj: Partial<GoogleGenerativeAIChatInput> = {
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apiKey: apiKey,
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apiKey: apiKey,
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modelName: modelName,
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modelName: modelName,
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maxOutputTokens: 2048
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maxOutputTokens: 2048
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@ -98,8 +170,23 @@ class GoogleGenerativeAI_ChatModels implements INode {
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const model = new ChatGoogleGenerativeAI(obj)
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const model = new ChatGoogleGenerativeAI(obj)
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if (topP) model.topP = parseFloat(topP)
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if (topP) model.topP = parseFloat(topP)
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if (topK) model.topK = parseFloat(topK)
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if (cache) model.cache = cache
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if (cache) model.cache = cache
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if (temperature) model.temperature = parseFloat(temperature)
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if (temperature) model.temperature = parseFloat(temperature)
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// Safety Settings
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let harmCategories: string[] = convertMultiOptionsToStringArray(harmCategory)
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let harmBlockThresholds: string[] = convertMultiOptionsToStringArray(harmBlockThreshold)
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if (harmCategories.length != harmBlockThresholds.length)
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throw new Error(`Harm Category & Harm Block Threshold are not the same length`)
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const safetySettings: SafetySetting[] = harmCategories.map((harmCategory, index) => {
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return {
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category: harmCategory as HarmCategory,
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threshold: harmBlockThresholds[index] as HarmBlockThreshold
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}
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})
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if (safetySettings.length > 0) model.safetySettings = safetySettings
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return model
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return model
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}
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}
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}
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}
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@ -26,6 +26,7 @@
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"@gomomento/sdk": "^1.51.1",
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"@gomomento/sdk": "^1.51.1",
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"@gomomento/sdk-core": "^1.51.1",
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"@gomomento/sdk-core": "^1.51.1",
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"@google-ai/generativelanguage": "^0.2.1",
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"@google-ai/generativelanguage": "^0.2.1",
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"@google/generative-ai": "^0.1.3",
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"@huggingface/inference": "^2.6.1",
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"@huggingface/inference": "^2.6.1",
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"@langchain/community": "^0.0.16",
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"@langchain/community": "^0.0.16",
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"@langchain/google-genai": "^0.0.6",
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"@langchain/google-genai": "^0.0.6",
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@ -673,3 +673,18 @@ export const convertBaseMessagetoIMessage = (messages: BaseMessage[]): IMessage[
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}
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}
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return formatmessages
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return formatmessages
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}
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}
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/**
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* Convert MultiOptions String to String Array
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* @param {string} inputString
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* @returns {string[]}
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*/
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export const convertMultiOptionsToStringArray = (inputString: string): string[] => {
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let ArrayString: string[] = []
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try {
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ArrayString = JSON.parse(inputString)
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} catch (e) {
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ArrayString = []
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}
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return ArrayString
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}
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