mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-29 07:01:04 +03:00
add llamaindex
This commit is contained in:
Henry
@@ -0,0 +1,135 @@
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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 { OpenAI, ALL_AVAILABLE_OPENAI_MODELS } from 'llamaindex'
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interface AzureOpenAIConfig {
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apiKey?: string
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endpoint?: string
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apiVersion?: string
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deploymentName?: string
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}
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class AzureChatOpenAI_LlamaIndex_ChatModels implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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description: string
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baseClasses: string[]
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tags: string[]
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credential: INodeParams
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inputs: INodeParams[]
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constructor() {
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this.label = 'AzureChatOpenAI'
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this.name = 'azureChatOpenAI_LlamaIndex'
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this.version = 1.0
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this.type = 'AzureChatOpenAI'
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this.icon = 'Azure.svg'
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this.category = 'Chat Models'
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this.description = 'Wrapper around Azure OpenAI Chat LLM with LlamaIndex implementation'
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this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(OpenAI)]
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this.tags = ['LlamaIndex']
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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: ['azureOpenAIApi']
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}
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this.inputs = [
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'options',
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options: [
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{
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label: 'gpt-4',
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name: 'gpt-4'
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},
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{
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label: 'gpt-4-32k',
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name: 'gpt-4-32k'
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},
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{
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label: 'gpt-3.5-turbo',
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name: 'gpt-3.5-turbo'
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},
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{
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label: 'gpt-3.5-turbo-16k',
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name: 'gpt-3.5-turbo-16k'
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}
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],
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default: 'gpt-3.5-turbo-16k',
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optional: true
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},
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{
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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default: 0.9,
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optional: true
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},
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{
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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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: 'Top Probability',
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name: 'topP',
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type: 'number',
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step: 0.1,
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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: 'Timeout',
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name: 'timeout',
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type: 'number',
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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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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const modelName = nodeData.inputs?.modelName as keyof typeof ALL_AVAILABLE_OPENAI_MODELS
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const temperature = nodeData.inputs?.temperature as string
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const maxTokens = nodeData.inputs?.maxTokens as string
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const topP = nodeData.inputs?.topP as string
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const timeout = nodeData.inputs?.timeout as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
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const azureOpenAIApiInstanceName = getCredentialParam('azureOpenAIApiInstanceName', credentialData, nodeData)
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const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
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const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
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const obj: Partial<OpenAI> & { azure?: AzureOpenAIConfig } = {
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temperature: parseFloat(temperature),
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model: modelName,
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azure: {
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apiKey: azureOpenAIApiKey,
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endpoint: `https://${azureOpenAIApiInstanceName}.openai.azure.com`,
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apiVersion: azureOpenAIApiVersion,
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deploymentName: azureOpenAIApiDeploymentName
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}
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}
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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if (topP) obj.topP = parseFloat(topP)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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const model = new OpenAI(obj)
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return model
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}
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}
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module.exports = { nodeClass: AzureChatOpenAI_LlamaIndex_ChatModels }
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@@ -3,6 +3,7 @@ import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../
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import { AnthropicInput, ChatAnthropic } from 'langchain/chat_models/anthropic'
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import { BaseCache } from 'langchain/schema'
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import { BaseLLMParams } from 'langchain/llms/base'
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import { availableModels } from './utils'
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class ChatAnthropic_ChatModels implements INode {
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label: string
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@@ -42,67 +43,7 @@ class ChatAnthropic_ChatModels implements INode {
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label: 'Model Name',
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name: 'modelName',
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type: 'options',
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options: [
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{
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label: 'claude-2',
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name: 'claude-2',
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description: 'Claude 2 latest major version, automatically get updates to the model as they are released'
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},
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{
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label: 'claude-2.1',
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name: 'claude-2.1',
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description: 'Claude 2 latest full version'
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},
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{
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label: 'claude-instant-1',
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name: 'claude-instant-1',
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description: 'Claude Instant latest major version, automatically get updates to the model as they are released'
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},
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{
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label: 'claude-v1',
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name: 'claude-v1'
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},
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{
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label: 'claude-v1-100k',
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name: 'claude-v1-100k'
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},
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{
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label: 'claude-v1.0',
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name: 'claude-v1.0'
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},
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{
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label: 'claude-v1.2',
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name: 'claude-v1.2'
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},
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{
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label: 'claude-v1.3',
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name: 'claude-v1.3'
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},
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{
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label: 'claude-v1.3-100k',
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name: 'claude-v1.3-100k'
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},
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{
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label: 'claude-instant-v1',
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name: 'claude-instant-v1'
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},
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{
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label: 'claude-instant-v1-100k',
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name: 'claude-instant-v1-100k'
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},
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{
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label: 'claude-instant-v1.0',
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name: 'claude-instant-v1.0'
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},
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{
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label: 'claude-instant-v1.1',
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name: 'claude-instant-v1.1'
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},
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{
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label: 'claude-instant-v1.1-100k',
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name: 'claude-instant-v1.1-100k'
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}
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],
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options: [...availableModels],
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default: 'claude-2',
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optional: true
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},
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@@ -0,0 +1,94 @@
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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 { Anthropic } from 'llamaindex'
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import { availableModels } from './utils'
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class ChatAnthropic_LlamaIndex_ChatModels implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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description: string
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tags: 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 = 'ChatAnthropic'
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this.name = 'chatAnthropic_LlamaIndex'
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this.version = 1.0
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this.type = 'ChatAnthropic'
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this.icon = 'chatAnthropic.png'
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this.category = 'Chat Models'
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this.description = 'Wrapper around ChatAnthropic LLM with LlamaIndex implementation'
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this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(Anthropic)]
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this.tags = ['LlamaIndex']
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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: ['anthropicApi']
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}
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this.inputs = [
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'options',
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options: [...availableModels],
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default: 'claude-2',
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optional: true
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},
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{
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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default: 0.9,
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optional: true
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},
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{
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label: 'Max Tokens',
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name: 'maxTokensToSample',
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type: 'number',
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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: 'Top P',
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name: 'topP',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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}
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]
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
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const temperature = nodeData.inputs?.temperature as string
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const modelName = nodeData.inputs?.modelName as string
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const maxTokensToSample = nodeData.inputs?.maxTokensToSample as string
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const topP = nodeData.inputs?.topP as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData)
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const obj: Partial<Anthropic> = {
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temperature: parseFloat(temperature),
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model: modelName,
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apiKey: anthropicApiKey
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}
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if (maxTokensToSample) obj.maxTokens = parseInt(maxTokensToSample, 10)
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if (topP) obj.topP = parseFloat(topP)
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const model = new Anthropic(obj)
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return model
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}
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}
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module.exports = { nodeClass: ChatAnthropic_LlamaIndex_ChatModels }
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@@ -0,0 +1,61 @@
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export const availableModels = [
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{
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label: 'claude-2',
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name: 'claude-2',
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description: 'Claude 2 latest major version, automatically get updates to the model as they are released'
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},
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{
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label: 'claude-2.1',
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name: 'claude-2.1',
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description: 'Claude 2 latest full version'
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},
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{
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label: 'claude-instant-1',
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name: 'claude-instant-1',
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description: 'Claude Instant latest major version, automatically get updates to the model as they are released'
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},
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{
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label: 'claude-v1',
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name: 'claude-v1'
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},
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{
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label: 'claude-v1-100k',
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name: 'claude-v1-100k'
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},
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{
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label: 'claude-v1.0',
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name: 'claude-v1.0'
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},
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{
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label: 'claude-v1.2',
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name: 'claude-v1.2'
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},
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{
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label: 'claude-v1.3',
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name: 'claude-v1.3'
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},
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{
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label: 'claude-v1.3-100k',
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name: 'claude-v1.3-100k'
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},
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{
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label: 'claude-instant-v1',
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name: 'claude-instant-v1'
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},
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{
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label: 'claude-instant-v1-100k',
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name: 'claude-instant-v1-100k'
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},
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{
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label: 'claude-instant-v1.0',
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name: 'claude-instant-v1.0'
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},
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{
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label: 'claude-instant-v1.1',
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name: 'claude-instant-v1.1'
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},
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{
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label: 'claude-instant-v1.1-100k',
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name: 'claude-instant-v1.1-100k'
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}
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]
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@@ -0,0 +1,148 @@
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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 { OpenAI, ALL_AVAILABLE_OPENAI_MODELS } from 'llamaindex'
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class ChatOpenAI_LlamaIndex_LLMs implements INode {
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label: string
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||||
name: string
|
||||
version: number
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||||
type: string
|
||||
icon: string
|
||||
category: string
|
||||
description: string
|
||||
baseClasses: string[]
|
||||
tags: string[]
|
||||
credential: INodeParams
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||||
inputs: INodeParams[]
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||||
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constructor() {
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this.label = 'ChatOpenAI'
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||||
this.name = 'chatOpenAI_LlamaIndex'
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||||
this.version = 1.0
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this.type = 'ChatOpenAI'
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||||
this.icon = 'openai.png'
|
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this.category = 'Chat Models'
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||||
this.description = 'Wrapper around OpenAI Chat LLM with LlamaIndex implementation'
|
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this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(OpenAI)]
|
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this.tags = ['LlamaIndex']
|
||||
this.credential = {
|
||||
label: 'Connect Credential',
|
||||
name: 'credential',
|
||||
type: 'credential',
|
||||
credentialNames: ['openAIApi']
|
||||
}
|
||||
this.inputs = [
|
||||
{
|
||||
label: 'Model Name',
|
||||
name: 'modelName',
|
||||
type: 'options',
|
||||
options: [
|
||||
{
|
||||
label: 'gpt-4',
|
||||
name: 'gpt-4'
|
||||
},
|
||||
{
|
||||
label: 'gpt-4-1106-preview',
|
||||
name: 'gpt-4-1106-preview'
|
||||
},
|
||||
{
|
||||
label: 'gpt-4-vision-preview',
|
||||
name: 'gpt-4-vision-preview'
|
||||
},
|
||||
{
|
||||
label: 'gpt-4-0613',
|
||||
name: 'gpt-4-0613'
|
||||
},
|
||||
{
|
||||
label: 'gpt-4-32k',
|
||||
name: 'gpt-4-32k'
|
||||
},
|
||||
{
|
||||
label: 'gpt-4-32k-0613',
|
||||
name: 'gpt-4-32k-0613'
|
||||
},
|
||||
{
|
||||
label: 'gpt-3.5-turbo',
|
||||
name: 'gpt-3.5-turbo'
|
||||
},
|
||||
{
|
||||
label: 'gpt-3.5-turbo-1106',
|
||||
name: 'gpt-3.5-turbo-1106'
|
||||
},
|
||||
{
|
||||
label: 'gpt-3.5-turbo-0613',
|
||||
name: 'gpt-3.5-turbo-0613'
|
||||
},
|
||||
{
|
||||
label: 'gpt-3.5-turbo-16k',
|
||||
name: 'gpt-3.5-turbo-16k'
|
||||
},
|
||||
{
|
||||
label: 'gpt-3.5-turbo-16k-0613',
|
||||
name: 'gpt-3.5-turbo-16k-0613'
|
||||
}
|
||||
],
|
||||
default: 'gpt-3.5-turbo',
|
||||
optional: true
|
||||
},
|
||||
{
|
||||
label: 'Temperature',
|
||||
name: 'temperature',
|
||||
type: 'number',
|
||||
step: 0.1,
|
||||
default: 0.9,
|
||||
optional: true
|
||||
},
|
||||
{
|
||||
label: 'Max Tokens',
|
||||
name: 'maxTokens',
|
||||
type: 'number',
|
||||
step: 1,
|
||||
optional: true,
|
||||
additionalParams: true
|
||||
},
|
||||
{
|
||||
label: 'Top Probability',
|
||||
name: 'topP',
|
||||
type: 'number',
|
||||
step: 0.1,
|
||||
optional: true,
|
||||
additionalParams: true
|
||||
},
|
||||
{
|
||||
label: 'Timeout',
|
||||
name: 'timeout',
|
||||
type: 'number',
|
||||
step: 1,
|
||||
optional: true,
|
||||
additionalParams: true
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
|
||||
const temperature = nodeData.inputs?.temperature as string
|
||||
const modelName = nodeData.inputs?.modelName as keyof typeof ALL_AVAILABLE_OPENAI_MODELS
|
||||
const maxTokens = nodeData.inputs?.maxTokens as string
|
||||
const topP = nodeData.inputs?.topP as string
|
||||
const timeout = nodeData.inputs?.timeout as string
|
||||
|
||||
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
|
||||
const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
|
||||
|
||||
const obj: Partial<OpenAI> = {
|
||||
temperature: parseFloat(temperature),
|
||||
model: modelName,
|
||||
apiKey: openAIApiKey
|
||||
}
|
||||
|
||||
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
|
||||
if (topP) obj.topP = parseFloat(topP)
|
||||
if (timeout) obj.timeout = parseInt(timeout, 10)
|
||||
|
||||
const model = new OpenAI(obj)
|
||||
return model
|
||||
}
|
||||
}
|
||||
|
||||
module.exports = { nodeClass: ChatOpenAI_LlamaIndex_LLMs }
|
||||
Reference in New Issue
Block a user